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welcome back from lunch and we are at
the last session of the day with content

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we're so excited we are going to hear in
this session from you from some of you

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so I want to particularly thank all of
those of you who raised your hand and

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said yes to this session as presenters I
want to thank everybody in the room in

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advance including the virtual room for
the discussion Rich part of the session

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this is going to entail because you're
going to have to turn your brains back

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on after lunch and get ready to
participate and I want to thank Dennis

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nangle who wrangled all of this there's
a lot of moving Parts with this one so

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I'm going to call Dennis up to get us
started and here we

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go I'm here on time after lunch unlike
last year so it's very exciting uh yes

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so I'm very excited for this session um
I've seen what the states have put

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together and I think it's really going
to inspire a lot of conversation um I'm

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going to go over how the structure of it
will work and then um and then I'll call

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the first set of States up in a moment
um yes so let's just one thing at a time

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so the structure will be we have three
different topics that we're going to be

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discussing and presenting on um each
topic will uh consist of 15 minutes of

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presentation time and then after that
there'll be time for you all to discuss

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uh at your tables um and then after that
that seven minutes is over we'll spend

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seven minutes with some sharing of uh uh
what the discussion was about certain

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Impressions maybe questions you may have
for the the lightning uh talk presenters

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um and we won't have time to for each
table to share out so just kind of like

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as as the spirit leads you to uh bring
up some things and share some stuff uh

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please do uh and then I know we you just
got settled in your tables uh after

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lunch um but if there an attempt to make
the discussion robust uh and we also

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have a couple of volunteer discussion
leaders if you could if you have empty

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space at your table um kind of joining
uh another like half completed table to

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try to consolidate some of the seating
that would be great um and then the

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discussion leaders raise your hands uh
you guys once once everybody is settled

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into their tables uh you can disperse
and find a table to own for the

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discussion so that's a lot of
information but while I bring up um

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Arizona and Rhode Island if if you have
a rather lean table and you want to join

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uh another table to make it more
Consolidated that would be great please

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welcome Nicollet and Chris to talk about
artificial intelligence yay

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[Applause]

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do and I'll Advance I'll be the slide
advancer thank for all of

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you
okay all right so greetings all uh in

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case you haven't you don't know who I am
I am Chris Gara lsta coordinator at SDC

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and project specialist for the Arizona
State library and the thank you thank

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you I'm proud too
yeah it's warm in our state yes you want

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that uh and the following presentation
I'm about to give is written by Ai No or

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was it and would you
know next slide okay so AI has once

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again entered our public Consciousness
as it has a number of times in the past

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70 years since Alan Turing first
presented his framework for developing

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intelligent machines as well as how to
test their intelligence in the 19 in

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1950 but while most people have a sense
of what AI means in general there is so

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much that fits under this umbrella that
uh it can be hard to know what we should

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focus on next
SL so fortunately one approach we can

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take is to focus on the type that's
brought it back to the Forefront of our

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thoughts namely generative
AI that is artificial intelligence that

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uses machine learning models machine
learning being a type of Technology

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where computers learn from data and
improve at tasks over time without being

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explicitly programmed for every step and
natural language processing or NLP which

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helps computers work with and understand
human language to create new content so

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this can include pretty much any kind of
content right include text images audio

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video and this is in contrast to for
example like uh predictive AI uh which

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uses patterns and data to make educated
guesses about future events or outcomes

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like predicting what the weather will be
like or uh if the text message you're

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receiving is Spam or legitimate or what
to recommend to you on your

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Netflix
next now within the sphere of generative

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AI are several popular products you've
likely heard about like open AI chat GPT

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Google's Gemini formerly known as Bard
do e and mid Journey as well as some you

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may not have heard about like stable
diffusion and

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Synthesia and with these tools comes a
whole host of Poss possibilities and

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concerns and probably the most notable
concern you've heard about relates to

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the very underlying Foundation that
enables generative AI to even exist

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namely being trained on with content
that these companies may not legally or

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at the very least ethically have the
right to use so for example chat GPT

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while we don't know all the specifics of
their training data did use common crawl

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Capital C's which is a large open access
data set that collects and stores web

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pages from all across the internet and
that absolutely includes user generated

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content so what this means for libraries
is that there are some very specific

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sets of related factors that we need to
consider as they're going to have a

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direct impact on the resources and
services that we typically offer these

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include and I apologize I don't have a
slide for this but I'm happy to send it

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out after the fact um accuracy and
reliability so AI models while

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sophisticated are not infallible and can
potentially generate responses that are

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inaccurate or misleading and this of
course can be due to limitations in the

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model's training data or
misunderstanding of more complicated

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questions you've got data privacy and
security so libraries obviously have a

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responsibility to protect Patron data
which includes interactions with these

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AI
systems there is bias and ethical

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considerations because AI models can
exhibit bias that is present in their

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training data which can lead to skewed
or unfair

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responses misinformation and content
appropriateness so AI generated content

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has the potential to inadvertently
spread misinformation or inappropriate

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content this is an obvious concern for
libraries which are trusted sources of

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information dependency and skill erosion
so there can be an over Reliance on AI

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for information retrieval and content
generation that could lead to a decline

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in traditional research and critical
thinking skills and this is something

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that I have seen firsthand um digital
literacy and user understanding so not

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every Library Patron is going to be
familiar with AI and how it works works

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there's an obvious and well documented
Gap in digital literacy which can lead

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to misunderstandings or misuse of these
AI

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tools big one here intellectual property
and copyright so AI generated content

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particularly summaries or creative
writing can raise a lot of questions

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about who owns or who has the copyright
uh or the IP for that particular content

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there is long-term viability and support
AI technology is moving fast and that

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means that tools and platforms can
quickly become outdated I've done tons

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of presentations on AI and every single
one is different because it just changed

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that quickly and then last but not least
uh cultural sensitivity so libraries can

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libraries do serve diverse communities
and it's important that the tools we use

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are sensitive to that diversity next
slide but it is not all doom and gloom

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there are clearly a ton of potential use
cases for this type of AI which is why

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so many companies are using the term AI
as like a rally and cry for investors

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they see its ability to at least appear
to be able ble to problem solve and

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create new and meaningful content making
them ideal for performing tasks that are

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traditionally done by people so within
Library some of those potential use case

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scenarios can include accessibility
support which could enhance Library

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resources for individuals with
disabilities by providing tools like

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Speech to Text uh audio content and
accessible formats automated reference

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assistance to help answer uh Patron
questions which would free up the

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Librarians to handle more complex tasks
content creation like generating book

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summaries crafting newsletters or
creating educational materials genealogy

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and historical research by which it can
analyze data bases of historical records

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making it easier for patrons to trace
family histories health information and

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resources such as offering patrons
guidance on where to find relevant

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medical information interactive
storytelling and learning experiences

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for younger
audiences um as a language translation

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tool it can help break down language
barriers enable more inclusive access to

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information I have found chat GB and
others to be a much better translating

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service in like Google translate um
personalized reading recommendations

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based on a Patron's reading history your
preferences uh research assistant by

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analyzing and summarizing targeted
information and finally virtual learning

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and tutoring by offering patrons
personalized on demand learning

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experiences that are tailored to their
specific educational needs and of course

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in many ways that's just the very tip of
the iceberg next

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slide so the question then is what
exactly should libraries be focusing on

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right now when it comes to generative Ai
and I think the answer is that your role

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in the library may be something you want
to consider when making that decision

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now there are of course very general
focal areas that everyone should at

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least spend a little bit of time
learning about like the history of AI

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the terminology and the available tools
and of course if possible take some time

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out to test some of the more popular
products on the market chat GPT is free

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to use but how generative AI might
impact archival work might not

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necessarily be what's impactful to say a
youth librarian right so here are just a

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few examples I've come up with so for
archists concerns like accuracy in

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historical context and preservation
challenges are key along with ensuring

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ethical curation of AI generated
materials Library administrators can

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focus on budget and cost management
while also navigating policy and

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regulation compliance and strategically
implementing those AI Tools in their

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libraries on the technical side library
media technicians can be tasked with

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integrating new technologies providing
ongoing support and developing staff

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training programs Outreach coordinators
can play a critical role in maintaining

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Community Trust by addressing the
digital divide and ensuring that ethical

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communication about AI use uh
programming Librarians uh can focus on

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keeping program Integrity intact while
engaging their audiences with content

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tailored to their needs reference
Librarians May encounter concerns about

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the accuracy of AI generated information
the diminished role of human expertise

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and the potential for Patron
misinformation and then finally youth

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librans uh may need to assess the
appropriateness of AI content its impact

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on learning and creativity and address
parental concerns about its use with

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younger audiences next slide so that's
that's a lot of pieces in a very short

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period of time with no unfortunate real
depth to this uh just du the nature of

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this program but I think if I would say
there's one thing I want you to take

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away from this is that there is a lot of
potential with generative AI po

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potential good and potential bad but
what it ends up actually looking like

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what products end up dominating the
market what governmental policies and

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court rulings will impact its
availability integration are all still

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very much up in the air but that said we
as Librarians have responsibility to get

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ahead of this continuously emerging
technology so that when our patrons come

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to us for information we can meet if not
exceed their expectations and that

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there's a if there is a potential
benefit to our community members in

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having access to this technology that we
find a way to make it accessible while

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of course simultaneously taking into a
consideration our obligations towards

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privacy security and accurate
information and so with that I think my

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next slide is the questions one but you
might want to jump ahead that's right

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remember that for the question time and
so with that I'll now pass it on to

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Nicollet who's going to talk about the
AI within slas thank you Chris all right

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nich thank thank you is that is that a
good distance um I'm Nica Buffon I'm the

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lsca coordinator and Library development
manager for the uh office of library and

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information services so definitely less
than Chris uh in terms of my expertise

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in AI um I'm just a curious person um
I've read a lot I've tried out a little

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so I am going to talk a little bit about
how AI might be intersecting with you

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all at your State Library agency and
your lsta work you can actually kind of

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skip this slide keep going yeah sure
great so in Rhode Island we are uniquely

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positioned within state government um in
that we are in a department alongside

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the IT department so we end up with a
front row seat to the process that the

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state has been going through um to build
a policy and consider how AI might be

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used across state government so R island
is looking for ways to incorporate what

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they call everyday AI so this is nothing
Earth shattering it's simply ways that

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the state can leverage AI to improve
efficiency streamline processes

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generally make life easier for both
workers and the public unsurprisingly

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the state is incredibly risk averse when
it comes to um implementing this so

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there are a few concerns that are at the
top of the list uh first the state

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doesn't want to break trust with the
public there's a lot of fear and

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skepticism around Ai and so it is
approaching this process very slowly and

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methodically and thoughtfully uh they
also don't want AI to result in any

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state job loss and finally their I think
biggest concern is data security so

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ensuring that our state's data remains
secure and also that it is not being

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used to train other AI models
inappropriately so once that is all

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taken care of easy um will have achieved
AI Readiness and will be ready for some

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kind of implementation as yet we um have
not achieved AI Readiness and so the

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state actually does not have a policy in
place yet um I recommend for all of you

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out there to check in about your State's
policy or its development if you haven't

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already um these conversations are
certainly happening at your States as

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well uh but for now next slide there is
no State policy stopping me from using

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AI in my day-to-day work so uh like the
state I am considering how everyday AI

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can make my life uh and my work easier
um while also trying to apply a certain

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level of caution so um since I submitted
these slides I just wanted to add one

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new kind of wild idea that I heard um
which is I heard about a grant project

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that is considering building their own
chat bot with the data from their

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project and I was just kind of noodling
on the idea of what if we could all

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build a chatbot trained on lsta subord
Project reports so that prospective

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grantees can ask questions about Grant
project that have already been funded so

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this is so far beyond my capacity um as
a professional as to be Unthinkable but

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I think it sounds really cool and I uh
give you this idea freely and anyone May

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steal it and build it if you like um but
on to how I have used AI in my work um

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really for two very simple purposes
brainstorming and word smithing tools

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like chat GPT Gemini other chat Bots can
be great for those things I will feed

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rough ideas into to the systems and get
you know new ideas back so this can be

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for things like fine-tuning learning
objectives for a training translating

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complex sort of government speak um into
planer language and also for really

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small things like come up with a clever
name for this conference session based

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on my description I've also used chat
GPT for writing help so sometimes just I

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ask it to write emails for me um or to
change the tone like please make this

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very angry email sound less angry never
actually use that one just a wild

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example for my my imagination um last
year I also tried out chaty PT while I

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was doing my spr so the number one top
tip I have is you can use it for your

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word counts so if you like me have
trouble getting your abstracts and

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activities to under 160 words you can do
that now in literal seconds uh with a

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chat bot um I might also have a chat bot
break down a large like two-page

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paragraph from a particularly wordy
Grant report into discrete activities

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with bullet points so that I can review
and revise those more easily than having

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to parse it all out myself um and I've
also put in activities under a project

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and ask the chat bot what connections it
can find between those activities to

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help me write better um abstracts or
fill out the other outcomes not already

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reported section um sorry I don't know
if Emily and the research team are here

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I know that's not best practice for
outcomes based evaluation but it it

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works um so whatever I'm doing I am
typically starting with my own ideas my

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own writing or a grantee report and I
always read the results and check them

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for accuracy and I continue to edit and
revise them and make sure it's my own

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work it helps speed things up but it
doesn't replace you know thinking or

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subject matter knowledge or actual work
so next slide uh similarly our sub

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awardees are possibly using these tools
when they're writing Grant applications

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and Grant reports for you I think is the
big thing so uh this development like

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anything has some positives and
negatives some positives I think I

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genuinely believe that chat GPT makes
bad writing uh better or any chatbot

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sorry um you are less likely to receive
applications uh that are gram with

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grammatically incorrect
sentences while punctuation misuse the

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vocabulary like wonky spelling if it's
gone through a chatbot uh using chat GPT

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is a brainstorming tool can strengthen
Grant applications by bringing in

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language consistent with an RFP or a noo
just like you would advise people to do

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in a regular old uh grant writing
Workshop so negatives uh chat gpg is

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just a tool so as I mentioned it doesn't
replace thinking or subject matter

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knowledge or work um I like to use this
example before I worked at the State

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Library agency I was an elementary
school librarian and Technology teacher

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I would have students write book
recommendations in Microsoft Word um and

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apparently no 8 to 10y old child knows
how to spell the word

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definitely um they all want to use the
word definitely and the particular way

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that all 8 to 10year old children
misspell the word definitely leads to

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spell check providing only one choice
which is not the word definitely so the

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number of students who turned in work
where they said they would defiantly

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recommend Percy Jackson and the
Lightning theme uh was truly staggering

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um so I coin this as and I actually
don't remember defiantly definitely

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principle which order I put them in um
you still need to proofread and you also

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kind of need to know how to spell the
word definitely in order to successfully

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use spell check in that scenario and so
anyone is going to need to proofread and

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also have good ideas to successfully use
a chat bot or AI to help them with a

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Grant application uh someone asked me
right what can we do about libraries who

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don't understand what their Community
need is so neither does the chat bot so

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what they get back and turn into US is
hot nonsense right how do we fix this um

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in my opinion right don't give them a
grant is always an option um you could

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hold workshops about how to identify
Community needs offer people the ability

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to turn in a draft or meet with you
during office hours uh to discuss their

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ideas um and other fixes uh no to
discuss their ideas and then other fixes

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that you would apply to the problem
regardless of the existence of AI um and

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at the very least you should in some way
communicate to prospective grantees that

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if their ideas are not good then a chat
bot is unlikely to help them secure a

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grant next slide all right so that uh
brings me to my last slide um about

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communicating uh about AI with
colleagues and your libraries and also

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potentially providing training which I
know a lot of You Are already doing so I

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did not invent this framework that you
see on the board I actually saw this as

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a small part of a presentation at ala so
the details are on the slide if you want

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to learn more about it um but these four
D verbs um have been really easy for me

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to remember and they've stuck in my head
since I saw them in June and they've

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really helped me frame my thinking about
Ai and how I might communicate to

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libraries or plan effective training
opportunities so I think it's a good

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place to start uh start your thinking on
AI if you haven't started thinking about

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it so the first one is to demystify so
that would be that AI is not magic it is

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science and we can understand how it
works um and understanding how a chatbot

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works or any AI means that you won't
have unrealistic expectations of what it

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can do next uh is demythologize so you
have ai enthusiasts on one side painting

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this sort of post-work paradise where we
are all people of leisure and our basic

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needs are met and then the reverse AI
doomers who think Skynet is coming and

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this will be the end of humanity and the
truth at least for now lies somewhere

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between those two extremes um and you
should consider the actual positives and

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00:21:36.120 --> 00:21:40.840
negatives of AI um to understand how you
can and should use it next there is

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demonstrate as in AI uh requires
demonstrable skills to use it

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effectively and you can teach people
those skills so someone mentioned to me

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last night they're doing a workshop on
prompt writing for chat Bots and that's

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a skill in practicing it will help users
get better results and be more effective

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if they're using AI finally democratize
wherein we exist in a society and we

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must apply this technology ethically I
think Chris covered this quite

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thoroughly but questions like how can we
protect privacy what about plagiarism

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and intellectual property is the data
training the models biased yeah probably

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00:22:15.799 --> 00:22:18.720
will paid chat Bots mean that wealthy
people have access to better more

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accurate resources yeah probably um and
so I just want to end with very similar

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to how C it is that these ethical
questions around AI and um everything

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that Chris has talked about they really
intersect beautifully with Library

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values and so I think as a profession we
should be paying attention and I think

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as individuals um it's useful for
everyone to be learning about it and

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trying it for yourselves and also
figuring out how to navigate this for

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ourselves and the states we work for and
our libraries and their communities

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that's the end and then we have some
slides or some questions thank you both

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for a wonderful presentation

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so now you all are going to take seven
minutes I'll start the timer on my watch

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to discuss these questions at your table
um and then like I said before the

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people who have been kind of
pre-selected to help lead the table if

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there's more than one of you at a table
if you could sort of spread out and try

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to find a table that needs a

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leader so I hate to wind down these very
active discussions but we have more

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topics to cover and we want to get to
those too so um would anybody like to

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share some Impressions or things that
were discussed at your table I know that

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we've got some active uh chat so maybe
we could start there

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Cindy some highlights

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00:24:02.720 --> 00:24:07.400
people fol have
said to

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usei helping helping WR letters of
support

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brainstorming um one state wrot that
they under a moror on the adoption and

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use of generative AI That's a state
policy obiously not speciic to

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yeah no problem and we can Circle back
while you um digest more

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yes all right any in-person
table discussion share

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outers broadcasters town

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criers right ah

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Denise so it sounds like um we have a
few who are all in and trying to make it

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work around consistency and making sure
that things um you know just a little

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bit of help with the paperwork and
things that are repetitious and then

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there's some other states who aren't
quite sure some are pushing some out

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some aren't it's just a little bit all
over the place which you know is kind of

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represent resentative of the fact that
we're all from different places

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different

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regions okay Georgia we just used trial
of Gemini and to it for many of the used

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cases in in a presentation I surprised
how much it help but you do need to use

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caution
requesting when using the request in

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summize a bu of opened responses that
were in Excel spret did in 5 seconds and

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super our our applications AR narrative
so no here um for our narrative report I

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I kind of wish they

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would been I've been exploring chat G
and other services including msot

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exper with

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00:26:32.799 --> 00:26:37.960
weed found
still is still

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00:26:37.960 --> 00:26:43.399
accuracy certainly great all right well
there's always a parking lot if

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something else comes up um or
Impressions but I think we'll move on to

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the next topic and bring up those
presenters which is Chris gvo from

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Connecticut Karen re from Michigan and
Erica McCormack from Texas to talk about

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did digital
inclusion

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[Applause]

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yay

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doie who first I
believe Connecticut is first go ahead

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Chris hi I'm Christine gabo from the
Connecticut State Library um and I'm

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going to talk to you about what a small
state and a small State Library that's

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00:27:34.159 --> 00:27:39.720
not particularly well funded can do
around digital Equity um the current

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00:27:39.720 --> 00:27:44.279
digital Equity project of the
Connecticut State library is is modest

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00:27:44.279 --> 00:27:49.519
as you'll see but I still think it's
extremely useful we're anchoring a

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00:27:49.519 --> 00:27:57.159
project that's aimed at figuring out a
way to assist small libraries low less

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well-funded Li libraries and so forth to
find their way into the digital Equity

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00:28:03.720 --> 00:28:09.480
ecosystem we're anchoring um an imls
Grant that's pulled together seven

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00:28:09.480 --> 00:28:14.840
public libraries of various sizes
capacities and catchman area

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00:28:14.840 --> 00:28:20.080
demographics to develop a process for
sharing a small pool of Navigators

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00:28:20.080 --> 00:28:25.360
across their sites in the various
language communities in their

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00:28:25.360 --> 00:28:28.880
towns but before I talk about the
project

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00:28:28.880 --> 00:28:34.559
which I hope will be of great use as I
said to small smaller and perhaps rural

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00:28:34.559 --> 00:28:40.320
libraries I want to
um note that as a State Library we came

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00:28:40.320 --> 00:28:45.360
to this place of involvement and feeling
responsible for helping libraries find

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00:28:45.360 --> 00:28:51.519
their way into the digital Equity
ecosystem only because of lsta funds in

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00:28:51.519 --> 00:28:58.320
particular the lsta arpa funds which
allowed us to fund uh pilot project um

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00:28:58.320 --> 00:29:03.320
pilot navigation projects in four public
libraries and to Anchor a digital

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00:29:03.320 --> 00:29:08.360
inclusion network of libraries agencies
and Community Partners that via monthly

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00:29:08.360 --> 00:29:12.159
meetings with
presentations uh education and

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00:29:12.159 --> 00:29:17.159
discussion have kept the issue alive at
the Grassroots for public libraries and

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00:29:17.159 --> 00:29:20.880
Community
organizations you can move to the next

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00:29:20.880 --> 00:29:26.360
slide go Connecticut isn't one of the
states you'll hear from others who get

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00:29:26.360 --> 00:29:32.320
the majority of um who who distribute
the majority of digital Equity Funds in

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their state or distribute really um
substantive grants to libraries for

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digital
navigation um we are not in that

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00:29:41.600 --> 00:29:48.120
position nor were we in a position to
establish a big non-for-profit Coalition

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00:29:48.120 --> 00:29:53.919
uh along the national digital inclusion
Alliance model but we did uh you know

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00:29:53.919 --> 00:29:58.559
and some of those models have a direct
impact on accessibility because they

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00:29:58.559 --> 00:30:04.120
deal directly with vendors and
philanthropists and others to deliver

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00:30:04.120 --> 00:30:10.240
services but we learned that a modest uh
relatively informal Network that meets

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00:30:10.240 --> 00:30:15.440
monthly with some educational content
that presents updates on National and

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00:30:15.440 --> 00:30:21.519
state thinking on digital inclusion was
well worth our time each month from

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00:30:21.519 --> 00:30:26.559
third anywhere from 30 to 50 individuals
from these many types of organizations

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00:30:26.559 --> 00:30:32.240
come together get a class some analysis
of what's going on in the world of

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00:30:32.240 --> 00:30:38.720
internet access share models of digital
inclusion work um and find

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00:30:38.720 --> 00:30:45.120
partners for example one of the original
pilot libraries uh that got our first

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00:30:45.120 --> 00:30:51.559
$100,000 arpa Grant went on to get State
funding I mean city funding uh for

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00:30:51.559 --> 00:30:56.919
permanent navigation program um with
staff and space and then leverage that

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00:30:56.919 --> 00:31:02.200
support into the founding of a city city
digital Equity Coalition with some

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00:31:02.200 --> 00:31:08.200
actual power uh to uh help Implement on
a Citywide

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00:31:08.200 --> 00:31:14.320
basis um and they use this our Network
to share their model with other small

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00:31:14.320 --> 00:31:19.159
and modest sized libraries around the
state the network has allowed

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00:31:19.159 --> 00:31:24.320
accessibility nonprofits to find
libraries who wanted to host their

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00:31:24.320 --> 00:31:29.480
special navigation
appointments um and so on on sharing on

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00:31:29.480 --> 00:31:34.600
a relatively informal basis keeps
modestly funded libraries who are still

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00:31:34.600 --> 00:31:40.000
trying to find a way into the digital
Equity ecos ecosystem informed and

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00:31:40.000 --> 00:31:45.799
inspired as they wait for the granting
opportunities that have been promised

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00:31:45.799 --> 00:31:50.399
and leading this ongoing network has
meant that the state we the State

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00:31:50.399 --> 00:31:55.039
Library um are very visible in the
digital Equity ecosystem and we've

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00:31:55.039 --> 00:31:59.480
regularly been invited onto panels
sponsor by other state

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00:31:59.480 --> 00:32:04.519
organizations and keeps us in a position
where we can continue to advocate for

400
00:32:04.519 --> 00:32:09.600
the role of libraries in the fight for
access the group as a whole also

401
00:32:09.600 --> 00:32:15.840
provided a space for the libraries to
come together who saw their their role

402
00:32:15.840 --> 00:32:20.159
in the developing
ecosystem as really elevating Community

403
00:32:20.159 --> 00:32:24.159
Voices I don't know how many are you
have been involved in your state

404
00:32:24.159 --> 00:32:28.360
processes but it's a continual struggle
to be sure that those

405
00:32:28.360 --> 00:32:34.080
um on the ground um you know find their
way into the discussions about shaping

406
00:32:34.080 --> 00:32:38.320
digital Equity
plans uh you can change the

407
00:32:38.320 --> 00:32:44.880
slide so our current project uh which
flowed from these others as as I said

408
00:32:44.880 --> 00:32:50.080
brought together SE just seven but seven
public libraries into a collaborative

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00:32:50.080 --> 00:32:54.320
project to share
Navigators um it was we created a

410
00:32:54.320 --> 00:33:00.840
deliberate grouping of small very small
Suburban town with larger town and City

411
00:33:00.840 --> 00:33:06.120
libraries we brought together libraries
who had substantive experience with

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00:33:06.120 --> 00:33:12.120
navigation on um on their site with
libraries who've never done this work

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00:33:12.120 --> 00:33:16.080
and of course that means there's a great
difference in capacity among the

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00:33:16.080 --> 00:33:20.919
libraries in the group um in particular
this group brings together the

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00:33:20.919 --> 00:33:25.360
Bridgeport Public Library the Hampton
public library and the West Haven Public

416
00:33:25.360 --> 00:33:30.279
Library all through three of whom had
very interesting navigation programs

417
00:33:30.279 --> 00:33:35.120
grant-funded navigation programs for
several years with several very small

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00:33:35.120 --> 00:33:41.320
libraries in the nagat valley with no
who felt they had no capacity in the

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00:33:41.320 --> 00:33:45.639
past to host
navigation the volunteer libraries were

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00:33:45.639 --> 00:33:50.760
recruited out of experience um with the
Connecticut libraries and partners for

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00:33:50.760 --> 00:33:57.360
digital network uh digital Equity work
in space we spent six months together

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00:33:57.360 --> 00:34:01.639
sharing ing Community Asset mapping and
an assessment of the need for languages

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00:34:01.639 --> 00:34:07.320
other than English and determined uh as
a group how to prioritize Navigator

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00:34:07.320 --> 00:34:12.079
language
skills in the end the libraries um

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00:34:12.079 --> 00:34:17.480
prioritize services in English Spanish
Arabic Haitian Creole and Brazilian and

426
00:34:17.480 --> 00:34:23.560
Cape Verdian Portuguese in the end given
the grant size uh that we applied for

427
00:34:23.560 --> 00:34:28.280
and The Navigators um we ended up being
able to afford we had to limit these

428
00:34:28.280 --> 00:34:34.520
choices to three and top of the list was
Arabic um because of the large number of

429
00:34:34.520 --> 00:34:41.280
Syrian and other Middle Eastern refugees
um in in in Connecticut in this Regional

430
00:34:41.280 --> 00:34:46.240
area and to date Arabic speakers have
made up the largest group of residents

431
00:34:46.240 --> 00:34:51.639
seeking uh navigation and given us a lot
of confidence in that

432
00:34:51.639 --> 00:34:56.919
choice so the way this worked was that
the library with the most experience and

433
00:34:56.919 --> 00:35:03.280
the most passion around digital Equity
volunteered to act as a hub for hiring

434
00:35:03.280 --> 00:35:08.640
um paying and remotely managing The
Navigators accepting the data and

435
00:35:08.640 --> 00:35:15.320
hosting a part-time contracted Navigator
manager three Navigators were hired as

436
00:35:15.320 --> 00:35:22.119
contractors for 25 hours a week for 12
months um and in collaboration the

437
00:35:22.119 --> 00:35:27.320
participating libraries agreed to an on
the ground rotation of The Navigators

438
00:35:27.320 --> 00:35:32.520
and a system for allocating the Spanish
and Arabic speakers if needed at any

439
00:35:32.520 --> 00:35:37.680
particular location in the region
Navigators are free to me and encouraged

440
00:35:37.680 --> 00:35:42.800
to meet residents in public spaces more
compatible with their work schedules and

441
00:35:42.800 --> 00:35:47.720
bus schedules and all those things that
determine people's ability to access

442
00:35:47.720 --> 00:35:55.119
digital Equity um training um computers
and that assistance to get uh Broadband

443
00:35:55.119 --> 00:35:59.400
at
home the Navigator ERS as in most places

444
00:35:59.400 --> 00:36:04.240
I'm sure but it was very important for
us were hired uh based on the

445
00:36:04.240 --> 00:36:07.800
demonstrations of their ability to help
folks without

446
00:36:07.800 --> 00:36:13.160
patronizing um residents everybody went
through exercises challenging

447
00:36:13.160 --> 00:36:18.720
exercises and all of The Navigators had
they ended up having incredible

448
00:36:18.720 --> 00:36:24.760
technical skills but out of that pool
were people who really just liked

449
00:36:24.760 --> 00:36:29.400
helping and had a lot of respect came
out of the community communities

450
00:36:29.400 --> 00:36:35.280
involved um The Navigators come together
in a peer group to solve problems once a

451
00:36:35.280 --> 00:36:39.680
month but can do it more frequently if
they need the directors from the seven

452
00:36:39.680 --> 00:36:43.880
libraries come together monthly to
discuss and make corrections to the

453
00:36:43.880 --> 00:36:48.640
process and to help each other figure
out how to advance Outreach for the

454
00:36:48.640 --> 00:36:53.839
program we have flyers and posters to
advertised but most res residents come

455
00:36:53.839 --> 00:36:58.640
to navigation by word of mouth or
they're recruited by Community Partners

456
00:36:58.640 --> 00:37:04.760
selected and by each library in the
process in one case it's an adult

457
00:37:04.760 --> 00:37:09.880
education group and another a refugee
support group another it's a re-entry

458
00:37:09.880 --> 00:37:14.640
group a veterans hospital or an
immigrant rights uh nonprofit support

459
00:37:14.640 --> 00:37:19.720
group senior centers and so on in the
end we're aiming for about 2,000

460
00:37:19.720 --> 00:37:26.480
one-on-one mentoring
exchanges um and um most importantly out

461
00:37:26.480 --> 00:37:31.160
of the experience winning New Towns and
boards and other stakeholders to see

462
00:37:31.160 --> 00:37:36.160
navigation as a critical service for
which they should provide funding for

463
00:37:36.160 --> 00:37:42.720
libraries soon and of course as the
state capacity Grant process rolls out

464
00:37:42.720 --> 00:37:46.839
uh in Connecticut I don't know in every
state it's different but in Connecticut

465
00:37:46.839 --> 00:37:51.640
the sub awwards will be organized around
Regional educational centers and we hope

466
00:37:51.640 --> 00:37:57.720
that this model of regional sharing
among small and mediumsized libraries

467
00:37:57.720 --> 00:38:03.920
will be dispersed and discussed and
provide help prepare libraries to apply

468
00:38:03.920 --> 00:38:10.960
with Partners um and work through these
Regional centers to secure capacity

469
00:38:10.960 --> 00:38:16.280
grants for four years of digital
navigation thanks thank you Chris all

470
00:38:16.280 --> 00:38:23.240
right we'll move on to Michigan with
Karen hi I'm Karen re I I'm I'm the old

471
00:38:23.240 --> 00:38:27.200
school
person um right now the library of

472
00:38:27.200 --> 00:38:31.079
Michigan in uh the technology consultant
position has been empty for several

473
00:38:31.079 --> 00:38:34.960
years so we don't really have this
embedded is something that we're trying

474
00:38:34.960 --> 00:38:40.560
to do directly with
Consultants um so what we're doing more

475
00:38:40.560 --> 00:38:44.119
is trying to push it through the subg
grants and asking the community

476
00:38:44.119 --> 00:38:49.440
libraries what do you need what can we
do if all we can do is push money to you

477
00:38:49.440 --> 00:38:54.760
what you know what does it look like in
your community and our current grant

478
00:38:54.760 --> 00:38:59.079
program that's running we have two um
we've stopped our small subgrant one for

479
00:38:59.079 --> 00:39:02.560
a little while but we have three
priorities for our yearlong improving

480
00:39:02.560 --> 00:39:06.839
access to information grants they can
ask for 5,000 to

481
00:39:06.839 --> 00:39:10.800
$25,000 and they can ask for something
that relates to literacy something that

482
00:39:10.800 --> 00:39:14.960
relates to Historic preservation or
something that relates to digital

483
00:39:14.960 --> 00:39:20.800
inclusion uh by uh a large margin
literacy is more of an issue for the

484
00:39:20.800 --> 00:39:26.440
libraries but 15 of the grants that we
have given out since 2019 have been for

485
00:39:26.440 --> 00:39:30.200
digital inclusion
14 have been to a public library we also

486
00:39:30.200 --> 00:39:36.240
allow academics to apply uh one has been
to an academic library and it was three

487
00:39:36.240 --> 00:39:42.240
rural locations and 12 Urban
locations and to put some perspective on

488
00:39:42.240 --> 00:39:48.200
on this um the rural locations obviously
have very similar needs to low-income

489
00:39:48.200 --> 00:39:53.079
urban areas uh but I suspect I'm
speaking for all of the states the

490
00:39:53.079 --> 00:39:58.040
backbone infrastructure is so poor in
the rural areas

491
00:39:58.040 --> 00:40:03.960
that they really they can't step on to
local infrastructure and then distribute

492
00:40:03.960 --> 00:40:10.240
devices that the lowincome urban
libraries can do um I have dealt with a

493
00:40:10.240 --> 00:40:14.240
fairly angry rural Library director who
was like why do you want to give me

494
00:40:14.240 --> 00:40:18.760
hotpots most of my service population
can't get a phone

495
00:40:18.760 --> 00:40:23.720
signal so I you know I know I'm speaking
to all of you with that so it's the

496
00:40:23.720 --> 00:40:28.319
three rural locations is not that our
rural libraries are less interested

497
00:40:28.319 --> 00:40:33.800
but that there's less basic capacity
there and that's a struggle when we're

498
00:40:33.800 --> 00:40:36.400
working with our libraries and it's
saying you know do you want to do

499
00:40:36.400 --> 00:40:41.079
digital inclusion and they do their
their communities need this

500
00:40:41.079 --> 00:40:45.920
badly but for a lot of our communities
this is beyond what the State Library

501
00:40:45.920 --> 00:40:50.119
can do what the individual Library can
do so next

502
00:40:50.119 --> 00:40:55.560
slide so you can kind of see it in what
they're interested in doing we've done

503
00:40:55.560 --> 00:41:00.599
three Wi-Fi extension projects for
two rural locations in one low-income

504
00:41:00.599 --> 00:41:05.319
urban area we've done eight laptop or
device lending programs those were all

505
00:41:05.319 --> 00:41:10.240
in urban areas um there has been
disability in neurodivergent Patron

506
00:41:10.240 --> 00:41:15.920
support I've been glad to see more of
this recently uh but that is also more

507
00:41:15.920 --> 00:41:21.640
in the urban areas where they have more
basic infrastructure to build on uh and

508
00:41:21.640 --> 00:41:27.960
there was one remote access for prog
programs in an urban area but I am am

509
00:41:27.960 --> 00:41:33.400
seeing a shift like I say I I I feel
frankly very guilty uh that I'm saying I

510
00:41:33.400 --> 00:41:38.240
have money if you can do something
because we just don't have the staff at

511
00:41:38.240 --> 00:41:42.200
the state level but I think a good
comparison for how our libraries are

512
00:41:42.200 --> 00:41:47.440
trying to move forward in their
communities um predating this particular

513
00:41:47.440 --> 00:41:52.560
grant program we gave monomon County I
really shouldn't name the

514
00:41:52.560 --> 00:41:59.400
library we gave them funds for several
years to do um um Wi-Fi extensions at

515
00:41:59.400 --> 00:42:04.839
the time this was 2018 there was one
public Wi-Fi accessibility place in the

516
00:42:04.839 --> 00:42:09.960
entire County um I understand it was at
a bar which is not really great for K12

517
00:42:09.960 --> 00:42:14.560
children trying to do their
homework um she spent two years working

518
00:42:14.560 --> 00:42:19.240
on the grant she went to each of her
townships she had determined if she did

519
00:42:19.240 --> 00:42:25.040
a um an extension in each of the
township halls in the county that would

520
00:42:25.040 --> 00:42:30.680
put free Wi-Fi ail available within six
miles of everyone in the county three of

521
00:42:30.680 --> 00:42:35.000
the townships refused to participate
because the township boards did not see

522
00:42:35.000 --> 00:42:38.800
the
point and she basically came to them and

523
00:42:38.800 --> 00:42:43.440
said I have the supplies I have the
funds just let me put it in your

524
00:42:43.440 --> 00:42:49.440
township hall um we fast forward a
couple of years into arpa calcasa is a

525
00:42:49.440 --> 00:42:53.079
county that is a little bit Inland from
Traverse City so it's a little bit

526
00:42:53.079 --> 00:43:00.240
closer to a well-funded um almost urban
area it's it's quite a resort Town um

527
00:43:00.240 --> 00:43:05.480
but also very poor he did the the
library director there did a Wi-Fi

528
00:43:05.480 --> 00:43:10.440
extension the surrounding townships
which had no Library service went that's

529
00:43:10.440 --> 00:43:16.400
really nice how do we get on board and
he said sign a contract with me to

530
00:43:16.400 --> 00:43:21.599
provide Library service and I'll put a
Wi-Fi extension in your Township so it

531
00:43:21.599 --> 00:43:28.640
was a distinct shift in the communities
I was super happy to hear that so next

532
00:43:28.640 --> 00:43:35.119
slide so our lessons learned um I think
again I'm telling you nothing you don't

533
00:43:35.119 --> 00:43:39.880
already know is that for lowincome urban
and rural areas they're still on the

534
00:43:39.880 --> 00:43:44.960
basics they're still on can you get
access do you have a device you can do

535
00:43:44.960 --> 00:43:50.440
your homework with do you have a device
that you can sign up to for job

536
00:43:50.440 --> 00:43:53.720
applications and the internet
accessibility is still really difficult

537
00:43:53.720 --> 00:43:59.760
in urban areas um having a a direct
connection for the K12 school doesn't

538
00:43:59.760 --> 00:44:05.520
help people who work all day and can't
access the K12 school's Network at 8

539
00:44:05.520 --> 00:44:10.960
o'clock at night or don't have children
um the support for disabled and neurode

540
00:44:10.960 --> 00:44:16.880
Divergent patrons has primarily been a
middle inome or a fluent area issue um

541
00:44:16.880 --> 00:44:21.400
and I think that is not that there is
less interest in the lowi income in

542
00:44:21.400 --> 00:44:26.319
rural areas I think it is that they are
still dealing with level of service that

543
00:44:26.319 --> 00:44:32.640
are are are truly basic um in the more
affluent areas they have less of a need

544
00:44:32.640 --> 00:44:36.960
to have staff spending time checking out
hotspots and explaining to someone how

545
00:44:36.960 --> 00:44:42.920
to use a tablet and then they can then
focus more on other underserved areas of

546
00:44:42.920 --> 00:44:46.400
their
populations um the support for remote

547
00:44:46.400 --> 00:44:50.400
access programming was from an affluent
area and I think that's kind of a hold

548
00:44:50.400 --> 00:44:55.520
over for those that we like everyone at
home does have access so I don't have to

549
00:44:55.520 --> 00:45:01.040
come to the library and that's much less
of a focus for our rural areas but

550
00:45:01.040 --> 00:45:07.720
overall despite this covering a six-year
period from pre pandemic through to now

551
00:45:07.720 --> 00:45:14.680
uh the focus really is still on basic
Services there's many people in many of

552
00:45:14.680 --> 00:45:18.280
um these particular libraries and across
the state as a whole who don't need

553
00:45:18.280 --> 00:45:23.319
their Public Library to provide them
with digital services but there's many

554
00:45:23.319 --> 00:45:29.520
who do even in very affluent areas their
amilies who are lwi Income I live in a

555
00:45:29.520 --> 00:45:33.000
neighborhood that you can pick four
different internet providers and you

556
00:45:33.000 --> 00:45:38.720
need $100 a month for the cheapest one
so there is a lot of people that live

557
00:45:38.720 --> 00:45:45.040
near me who do not have internet access
despite the wealth of providers

558
00:45:45.040 --> 00:45:52.920
supposedly so I I think about exclusion
and inclusion with equity and it's it's

559
00:45:52.920 --> 00:46:01.119
both a capacity and a money issue some
org ations and some areas have they have

560
00:46:01.119 --> 00:46:05.880
that step up it's true in so many other
issues that libraries work on and then

561
00:46:05.880 --> 00:46:10.599
they can focus on more one-on-one
services and then some of our other

562
00:46:10.599 --> 00:46:14.319
communities they're still working on
those basic building blocks and I think

563
00:46:14.319 --> 00:46:18.160
we're going to be there for a
while thank

564
00:46:18.160 --> 00:46:23.720
you all right now we'll move to Texas
with Erica all righty I'm Erica

565
00:46:23.720 --> 00:46:27.680
McCormack I am the LST coordinator for
the Texas State Library archives

566
00:46:27.680 --> 00:46:35.119
commission um H we are in a state that
cannot use or that is strugly

567
00:46:35.119 --> 00:46:40.720
discouraged from using the word
inclusion so we have to use

568
00:46:40.720 --> 00:46:43.720
opportunity

569
00:46:44.240 --> 00:46:48.079
so so next slide

570
00:46:48.280 --> 00:46:55.240
please and so for we're uh we're going
to talk a little bit about our latest uh

571
00:46:55.240 --> 00:47:02.160
foray into helping in the digital
opportunity world and uh when we talk

572
00:47:02.160 --> 00:47:06.760
about digital closing the digital divide
we can say that uh we're talking about

573
00:47:06.760 --> 00:47:11.200
Broadband availability and affordability
digital literacy skills device

574
00:47:11.200 --> 00:47:16.079
availability affordability and Technical
Support Online privacy and cyber

575
00:47:16.079 --> 00:47:20.960
security fitting right in there with
that new requirement and then um online

576
00:47:20.960 --> 00:47:27.280
accessibility and inclusivity of public
resources now to do all these things we

577
00:47:27.280 --> 00:47:33.079
need to have a team next slide please so
we have now a digital library digital

578
00:47:33.079 --> 00:47:37.920
opportunity team ldo it has gone through
many iterations that used to have

579
00:47:37.920 --> 00:47:43.240
inclusion used to have anyway uh we used
to have technology Consultants now we

580
00:47:43.240 --> 00:47:49.359
have a digital team um this team is
funded by I'll get a little further into

581
00:47:49.359 --> 00:47:57.000
this minute but um we applied for and
received close to $9 million as part of

582
00:47:57.000 --> 00:48:03.599
the national the federal infrastructure
Bill $6,000 of that is going to be going

583
00:48:03.599 --> 00:48:08.559
to library
grants um the other three close to three

584
00:48:08.559 --> 00:48:14.079
million will go to the administration so
we have three people uh Henry Stokes who

585
00:48:14.079 --> 00:48:19.040
uh was our previous technology
consultant um but he is the program

586
00:48:19.040 --> 00:48:23.800
coordinator we have promise Madu who is
our data and project coordinator and we

587
00:48:23.800 --> 00:48:28.359
have Warren Davis who is our community
educate engag M and Outreach and

588
00:48:28.359 --> 00:48:34.760
coordinator and they're going to be or
they are tasked with Broadband funding

589
00:48:34.760 --> 00:48:41.160
training tools research and digital
opportunity news Hub so they have come

590
00:48:41.160 --> 00:48:45.200
on board this year well Henry's been
there the whole time but promise and

591
00:48:45.200 --> 00:48:49.000
Warren are two of our newest hires they
came on in the

592
00:48:49.000 --> 00:48:54.839
spring and they have been hard at work
creating dashboards and all types of uh

593
00:48:54.839 --> 00:48:58.960
other online tools and traveling
throughout the state seeing what's going

594
00:48:58.960 --> 00:49:05.839
on um and one thing that they've done
next slide please as part of their

595
00:49:05.839 --> 00:49:11.200
Baseline um determining where they need
to go throughout the state we do a speed

596
00:49:11.200 --> 00:49:15.760
test of the public libraries in the
state every year and so you'll see on

597
00:49:15.760 --> 00:49:21.440
here from
2016 barely I want say 5% of the

598
00:49:21.440 --> 00:49:27.040
libraries in the state even met the FCC
standards for Broadband but but fast

599
00:49:27.040 --> 00:49:33.400
forward to 2023 and we're almost up to
50% who are actually reaching Meeting

600
00:49:33.400 --> 00:49:38.720
those standards and so one of the things
that they're going to be doing I

601
00:49:38.720 --> 00:49:43.119
mentioned funding they're going to be
let's see if we need to go forward or

602
00:49:43.119 --> 00:49:49.480
not no not yet okay sorry just kidding
so the grant that we're going to be

603
00:49:49.480 --> 00:49:53.319
offering
um we're not really sure when it's going

604
00:49:53.319 --> 00:49:56.960
to be released the funding that we have
was for 5 years of funding so so our

605
00:49:56.960 --> 00:50:03.200
funding will end December of
2026 uh Warren Henry and promise are the

606
00:50:03.200 --> 00:50:09.400
first three to be hired out of five
positions that are being funded by the

607
00:50:09.400 --> 00:50:14.640
funds um and like I said this is from
the federal uh infrastructure Grant and

608
00:50:14.640 --> 00:50:20.319
it's through our com controller's office
as um our Broadband development office

609
00:50:20.319 --> 00:50:24.960
and the um Grant is going to be called
lifi so we're talking Library

610
00:50:24.960 --> 00:50:28.160
infrastructure facility Improvement
grants and there's going to be three

611
00:50:28.160 --> 00:50:34.079
phases assessments coaching and funding
we just finally got the contract through

612
00:50:34.079 --> 00:50:39.799
to do the assessments the goal was to
have the grants starting by now but we

613
00:50:39.799 --> 00:50:43.760
can't even we can't find a grants
administrator right

614
00:50:43.760 --> 00:50:48.880
now we we've had a it's been a little
revolving door everybody's moving up and

615
00:50:48.880 --> 00:50:53.760
so um their grants administrator which
will be doing nothing but their grants

616
00:50:53.760 --> 00:50:58.880
will be part of my house of um
grantsmanship and

617
00:50:58.880 --> 00:51:02.559
accreditation so we're hiring that
person and there's one other position

618
00:51:02.559 --> 00:51:09.720
that they need to hire
um but they're going to and so at this

619
00:51:09.720 --> 00:51:15.400
point we hope funding will be released
in the spring after we write the

620
00:51:15.400 --> 00:51:21.160
noo um and since it is a different
funding structure I am going to have to

621
00:51:21.160 --> 00:51:28.480
learn that as well as keep on track of
lsta that should be interesting um um

622
00:51:28.480 --> 00:51:35.920
and so that's that's the grant but then
we go to the uh tools we go to we're

623
00:51:35.920 --> 00:51:42.040
doing plow for the libraries we're doing
the training we will be doing um going

624
00:51:42.040 --> 00:51:47.839
around the state doing uh training as
well as virtual training we also have

625
00:51:47.839 --> 00:51:54.079
research next slide
please so as part of our arpa funding um

626
00:51:54.079 --> 00:51:58.760
we did offer digital Navigator grants as
as well as digital literacy grants the

627
00:51:58.760 --> 00:52:03.880
one on the left here um Texas public
library servant communities to enhance

628
00:52:03.880 --> 00:52:08.280
digital literacy that was arpa funed and
I do have a copy at my desk that I think

629
00:52:08.280 --> 00:52:12.200
I need to leave with Cindy because I do
not believe I gave you a copy when it

630
00:52:12.200 --> 00:52:18.359
was done so but if anybody else would
like a copy of that research uh study

631
00:52:18.359 --> 00:52:22.000
please let me know because I will send
you double

632
00:52:22.640 --> 00:52:27.160
copies and then we have this other uh
research on the right right hand side

633
00:52:27.160 --> 00:52:31.400
which was for the digital Navigator
grants they were also funded by arpa but

634
00:52:31.400 --> 00:52:37.440
the research was done after the
fact um next slide please and then

635
00:52:37.440 --> 00:52:43.119
digital literacy programs and let me say
one thing about you may have noticed the

636
00:52:43.119 --> 00:52:46.960
classic
Graphics we started with Rosie the

637
00:52:46.960 --> 00:52:52.680
Riveter and transformed her into you can
do it and and uh all those and just

638
00:52:52.680 --> 00:52:56.119
transferred into the technology side so
we have a thing for World War II

639
00:52:56.119 --> 00:53:00.559
graphics I do not know why but

640
00:53:01.319 --> 00:53:09.640
anyway so I just had to put a shout out
for that um and just wish us well

641
00:53:09.640 --> 00:53:16.880
on getting our staff fully funded and
fully uh Warm Bodies In and uh like I

642
00:53:16.880 --> 00:53:22.799
said we should have the noo and the
staff on hand we hope by December with

643
00:53:22.799 --> 00:53:32.240
the grant going out in um next spring so
thank you great thank you thank you

644
00:53:32.240 --> 00:53:37.319
everybody all
right now spend some time at your tables

645
00:53:37.319 --> 00:53:41.760
um your discussion leader people have
the questions um in front of them to

646
00:53:41.760 --> 00:53:48.200
guide the conversation and I will
reconvene share out at a certain

647
00:53:48.200 --> 00:53:55.880
time smart engaged attendees and lsj
coordinators um it is time to share any

648
00:53:55.880 --> 00:54:01.839
insights or questions you may have about
this topic um both virtually and in

649
00:54:01.839 --> 00:54:05.000
person anybody want to share anything
that they were discussing or maybe

650
00:54:05.000 --> 00:54:07.520
questions they

651
00:54:08.559 --> 00:54:13.240
have we have one nobody saying anything
so I figure I'll say something here our

652
00:54:13.240 --> 00:54:18.119
conversation on this one um Senator lot
around with arpa funds and Caris funds

653
00:54:18.119 --> 00:54:22.000
too but mostly arpa funds we went into
these really rural areas and we gave

654
00:54:22.000 --> 00:54:27.319
them this great stuff and then the money
ran out and now they're like wait wait

655
00:54:27.319 --> 00:54:32.160
where's that great thing I had Wi-Fi and
now it's gone completely so you know

656
00:54:32.160 --> 00:54:35.400
great thank everybody for the money it
was great but you know you introduced

657
00:54:35.400 --> 00:54:39.119
them to something and then now it's gone
and the citizens expect that service and

658
00:54:39.119 --> 00:54:43.680
got used to that service so little bit
of a challenge there um another

659
00:54:43.680 --> 00:54:48.760
conversation we had in and literally in
every state sitting at this table the

660
00:54:48.760 --> 00:54:55.280
Gap is literally as serious as you know
great highspeed internet access

661
00:54:55.280 --> 00:54:58.319
available to everybody in the community
and then you go down the street to the

662
00:54:58.319 --> 00:55:03.920
rural area and there's literally no
running water so huge huge gaps um

663
00:55:03.920 --> 00:55:07.599
literally in all of our states that we
talked about here that's good thank you

664
00:55:07.599 --> 00:55:12.160
for sharing that's
helpful oh City's got some virtual

665
00:55:12.160 --> 00:55:15.160
thoughts

666
00:55:49.039 --> 00:55:52.039
Li

667
00:56:12.880 --> 00:56:15.400
some states

668
00:56:19.200 --> 00:56:26.520
havenot ly and one reive one request and
they

669
00:56:26.520 --> 00:56:31.240
decied not to
continue and another state is trying to

670
00:56:31.240 --> 00:56:35.520
partner with a state agency in charge

671
00:56:36.410 --> 00:56:39.560
[Music]

672
00:56:41.520 --> 00:56:50.920
of great thank you any other
inperson sharing things okay well thank

673
00:56:50.920 --> 00:56:53.920
you all and thank you to our wonderful
presenters with this

674
00:56:53.920 --> 00:56:59.559
topic now we're going to bring
moral Walsh

675
00:56:59.559 --> 00:57:05.520
up to talk about you can take your time
and just on a Sprint uh to talk about uh

676
00:57:05.520 --> 00:57:09.880
their experience with working with other
federal funds and then after Mara we

677
00:57:09.880 --> 00:57:15.480
will invite um virtually the Idaho State
librarian to talk about their um

678
00:57:15.480 --> 00:57:20.160
experience with other federal funds it's
okay take your

679
00:57:20.160 --> 00:57:26.880
time got the whole table to yourself I
was trying to escape

680
00:57:29.720 --> 00:57:36.720
right computer spoiler
alert take your time take a

681
00:57:47.839 --> 00:57:52.440
Time shutting down instead of stting
it's one of those Forest

682
00:57:52.440 --> 00:57:59.200
updates the worst possible time
so that's

683
00:57:59.200 --> 00:58:04.880
okay do you think maybe we could
Stephanie could go while you Stephanie

684
00:58:04.880 --> 00:58:12.039
are you out there or would you be ready
to discuss I don't know who's beaming

685
00:58:12.039 --> 00:58:14.920
her in I don't know

686
00:58:20.440 --> 00:58:29.039
who's okay well oh there's
Matt hi can you hear me now I can thank

687
00:58:29.039 --> 00:58:36.000
you Stephanie don't look at these no
problem there we go time all right we

688
00:58:36.000 --> 00:58:40.319
can hear you Stephanie great hi everyone
I'm Stephanie Bailey white I'm the state

689
00:58:40.319 --> 00:58:43.720
librarian at the commission for
libraries Dennis if you want to go to

690
00:58:43.720 --> 00:58:48.720
the next slide uh our State Library
agency focuses mostly on Library

691
00:58:48.720 --> 00:58:51.720
development and support of our talking
book

692
00:58:51.720 --> 00:58:57.160
service next
slide um and we start serve about

693
00:58:57.160 --> 00:59:02.640
850 public uh School academic and
special libraries including tribal

694
00:59:02.640 --> 00:59:10.480
libraries in the state turn my video on
here too next one and so recently we

695
00:59:10.480 --> 00:59:14.920
have um had three additional funding
sources that have really complemented

696
00:59:14.920 --> 00:59:21.760
our lsta funding um and supported the
lsta funded programs and services and

697
00:59:21.760 --> 00:59:27.960
our strategic plan so uh one of the
projects um that we've received funding

698
00:59:27.960 --> 00:59:33.640
for is capital projects funds that's
construction funding from the treasury

699
00:59:33.640 --> 00:59:40.559
Department and we received about 3.5
million that was awarded to uh about 15

700
00:59:40.559 --> 00:59:46.559
public libraries in our state uh ranging
from $5,000 to help with Ada accessible

701
00:59:46.559 --> 00:59:51.839
restrooms to
$500,000 that's helping uh build a a new

702
00:59:51.839 --> 00:59:58.280
branch in a rural community and that
many um some of you may say 3.5 million

703
00:59:58.280 --> 01:00:02.760
is not very much that's a drop in the B
bucket for California but it's a a big

704
01:00:02.760 --> 01:00:07.240
deal for a small state like ours um I
always say some funding is better than

705
01:00:07.240 --> 01:00:11.280
no funding and we've been uh really
happy to accept that and get that out to

706
01:00:11.280 --> 01:00:17.680
the library Community we also um were
successful in receiving funds Esser

707
01:00:17.680 --> 01:00:23.119
funds that's been able to go to out of
school and summer learning projects for

708
01:00:23.119 --> 01:00:28.680
public and school libraries around the
state 1 . 25 million was distributed uh

709
01:00:28.680 --> 01:00:34.200
to our our libraries in the state
serving thousands of Idaho

710
01:00:34.200 --> 01:00:39.720
children next slide is the next uh big
opportunity that we've been excited

711
01:00:39.720 --> 01:00:45.160
about we were designated as the lead
Agency for the digital Equity funding

712
01:00:45.160 --> 01:00:51.440
that's coming into all states uh we took
the lead in the planning Grant and have

713
01:00:51.440 --> 01:00:56.400
uh worked with Partners to develop a a
great state plan uh I think we were the

714
01:00:56.400 --> 01:01:01.440
only state Library agency designated as
the lead organization working closely

715
01:01:01.440 --> 01:01:05.599
with our Broadband office uh they've
been focused on the infrastructure part

716
01:01:05.599 --> 01:01:10.440
we've been focused on digital equity
which uh like our friends in Texas we

717
01:01:10.440 --> 01:01:15.160
don't call Equity here it's called
digital access for all idahoans um and

718
01:01:15.160 --> 01:01:20.280
then we are planning on receiving about
$10 million in the next five to eight

719
01:01:20.280 --> 01:01:25.200
years that we'll be able to distribute
to not only libraries but Community

720
01:01:25.200 --> 01:01:29.079
organizations
um to help address the digital divide

721
01:01:29.079 --> 01:01:36.079
here um it's a I think been a big honor
to be able to uh work with Partners to

722
01:01:36.079 --> 01:01:41.720
develop a plan for people to recognize
the role that libraries play in digital

723
01:01:41.720 --> 01:01:46.640
inclusion and uh we're just anxiously
waiting for those funds to roll in for

724
01:01:46.640 --> 01:01:50.640
capacity and
implementation and plan on awarding

725
01:01:50.640 --> 01:01:56.799
about 90% of those funds out into
communities to help address those needs

726
01:01:56.799 --> 01:02:02.000
next slide please the is the lessons
that we've learned um it's been really

727
01:02:02.000 --> 01:02:07.680
important for us as a small state
agency uh taking on some of these big

728
01:02:07.680 --> 01:02:12.720
grants and making sure that the funding
is spent appropriately and helps with

729
01:02:12.720 --> 01:02:19.319
our mission and uh serving idah hoens so
we have uh we typically have a lead

730
01:02:19.319 --> 01:02:23.839
project coordinator that works closely
with our grants officer and our fiscal

731
01:02:23.839 --> 01:02:28.760
team to ensure that we're meeting all of
those different Federal requirements I

732
01:02:28.760 --> 01:02:35.039
think a side benefit has uh been us
learning and how much we appreciate lsta

733
01:02:35.039 --> 01:02:39.640
and the folks at imls they have
everything so well organized uh and

734
01:02:39.640 --> 01:02:44.000
different different agencies do things
differently so trying to figure out uh

735
01:02:44.000 --> 01:02:49.039
how best to work with each of those
different Federal entities but we rely

736
01:02:49.039 --> 01:02:53.960
on our lsta policies expand those and
make sure that we have everything lined

737
01:02:53.960 --> 01:02:58.520
up for all the reports that we need for
each each of those entities we also have

738
01:02:58.520 --> 01:03:04.119
to navigate some of our legislative
issues in Idaho all of our federal funds

739
01:03:04.119 --> 01:03:08.240
still have to go through our state
legislature they're not always thrilled

740
01:03:08.240 --> 01:03:13.039
about about spending federal funds so
that can be a little tricky and then we

741
01:03:13.039 --> 01:03:17.000
have to consider our staff capacity we
have a staff of about

742
01:03:17.000 --> 01:03:23.079
35 um but we didn't have anybody for
example who had a deep expertise in

743
01:03:23.079 --> 01:03:28.079
construction so for that particular
Construction Grant we outsourced that

744
01:03:28.079 --> 01:03:34.559
contracted with Library strategies to do
office hours webinars and an in-person

745
01:03:34.559 --> 01:03:40.720
training and a toolkit uh all based
around construction areas that we can uh

746
01:03:40.720 --> 01:03:45.640
continue to use into the new near future
and that's been kind of a way that we've

747
01:03:45.640 --> 01:03:51.440
dealt with some of those deficits in
what our staff um can do knowing that

748
01:03:51.440 --> 01:03:57.000
that we can't do
everything next slide

749
01:03:57.680 --> 01:04:01.440
um a few other Lessons Learned uh is
just building those positive

750
01:04:01.440 --> 01:04:06.799
relationships with our other funding
agencies getting to know uh different

751
01:04:06.799 --> 01:04:12.680
Federal program officers attending all
the office hours that they offer and

752
01:04:12.680 --> 01:04:18.079
webinars and training like the one that
that uh imls is sponsoring today um

753
01:04:18.079 --> 01:04:24.599
trying to get a handle on that knowing
that um their response times may be uh

754
01:04:24.599 --> 01:04:28.319
delayed Things Are things are going to
be different than you're used to with

755
01:04:28.319 --> 01:04:33.079
lsta um partly because they're kind of
building the airplane as they fly uh

756
01:04:33.079 --> 01:04:36.319
getting these new programs off the
ground Across the

757
01:04:36.319 --> 01:04:41.680
Nation and then um also working with our
local Partners we were able for example

758
01:04:41.680 --> 01:04:47.200
with the Esser funds to partner with
another state agency on an evaluation

759
01:04:47.200 --> 01:04:52.720
process that kind of benefited them and
us um and not having to reinvent the the

760
01:04:52.720 --> 01:04:56.880
whe as long as they were evaluating that
program they could also do the library

761
01:04:56.880 --> 01:05:03.839
component and that's really helped next
slide and just a few of our outcomes it

762
01:05:03.839 --> 01:05:08.279
is um not always easy to work with these
different Federal sources but I think

763
01:05:08.279 --> 01:05:14.039
the outcomes have far outweighed um the
the benefits far outweigh the waiting

764
01:05:14.039 --> 01:05:20.839
through the bureaucracy we've been able
to do uh over $4.2 million in subg

765
01:05:20.839 --> 01:05:26.319
Grants to
335 uh different Library entities in the

766
01:05:26.319 --> 01:05:30.880
last two years uh that's huge in
building capacity for libraries to

767
01:05:30.880 --> 01:05:35.640
better serve their communities we also
sometimes provide materials instead of

768
01:05:35.640 --> 01:05:40.720
cash grants uh we're going to be doing
some laptop distributions we've done

769
01:05:40.720 --> 01:05:44.720
that as a pilot program with lsta funds
the last two years and we're going to

770
01:05:44.720 --> 01:05:49.960
expand that with the digital access
funding um we do a lot of kits from Team

771
01:05:49.960 --> 01:05:56.599
metal kits to mental health kits to
podcast kits um for libraries that don't

772
01:05:56.599 --> 01:06:02.400
always have the capacity to uh Wade
through the purchasing process and do uh

773
01:06:02.400 --> 01:06:06.839
big Grant programs sometimes it's just
easier to provide the materials and

774
01:06:06.839 --> 01:06:11.520
TurnKey programs for them and then
really aiming for long-term impacts even

775
01:06:11.520 --> 01:06:17.319
if it's a a two-year Esser Grant uh
there's some long-term benefits with

776
01:06:17.319 --> 01:06:22.680
strategic planning with professional
development with toolkits that can uh

777
01:06:22.680 --> 01:06:26.279
continue to serve the Library community
well into the future

778
01:06:26.279 --> 01:06:32.200
and then finally last
slide um again having a Statewide plan

779
01:06:32.200 --> 01:06:38.200
that we can rely on uh knowing that some
of our funding sources funding seems to

780
01:06:38.200 --> 01:06:42.920
follow other funding uh getting your
foot in the door and showing that you

781
01:06:42.920 --> 01:06:49.039
can handle uh some of these bigger
federal grants uh has led to other um

782
01:06:49.039 --> 01:06:54.279
trust building and our governor's office
and others know that we do a good job

783
01:06:54.279 --> 01:06:59.079
and support our willingness to take on
some of those other programs and then

784
01:06:59.079 --> 01:07:04.240
finally just stronger Partnerships uh
Statewide and at the national level uh

785
01:07:04.240 --> 01:07:08.640
again with our friends at at imls and
others and uh that's going to really

786
01:07:08.640 --> 01:07:14.200
help us build our capacity and further
our goals and Mission so that's it for

787
01:07:14.200 --> 01:07:19.279
me thanks Dennis thank you so much
Stephanie and thank you to whoever made

788
01:07:19.279 --> 01:07:26.960
it possible to hear her and see her
thank you so I'm going to swing back to

789
01:07:26.960 --> 01:07:34.960
more slides now so flashback
flashback don't look too closely at

790
01:07:34.960 --> 01:07:42.279
these not yet okay go ahead Mora here we
are hi so when I started developing this

791
01:07:42.279 --> 01:07:46.960
I thought that the grants process was
kind of like or can be like Russian

792
01:07:46.960 --> 01:07:52.799
nesting dolls it's a little bit exotic
it's intriguing perhaps

793
01:07:52.799 --> 01:07:57.440
mysterious but in the end everything
should should fit

794
01:07:57.440 --> 01:08:03.480
together um a long timeline to develop
your application and your plan is ideal

795
01:08:03.480 --> 01:08:08.160
but that's rarely
real the first thing you want to do

796
01:08:08.160 --> 01:08:11.559
before you even think about a grant is
make sure that your grants.gov and your

797
01:08:11.559 --> 01:08:17.719
sam.gov accounts are up to date um and
make sure that they're actually yours

798
01:08:17.719 --> 01:08:22.759
because they might belong to another
organization the ones that you have to

799
01:08:22.759 --> 01:08:26.279
use so then we can start with our
Russian

800
01:08:26.279 --> 01:08:31.679
here start with an idea um maybe based
on what you want or an opportunity that

801
01:08:31.679 --> 01:08:39.400
you've seen and try to be as specific as
possible you will want to research the

802
01:08:39.400 --> 01:08:43.960
noo or the notice of funding
opportunity and these can be really

803
01:08:43.960 --> 01:08:50.000
complex documents but here's where your
imls experience will come in very very

804
01:08:50.000 --> 01:08:58.400
handy um because most of the federal
money is going to to be almost 100% the

805
01:08:58.400 --> 01:09:03.480
same as
imls with some you know differences like

806
01:09:03.480 --> 01:09:07.000
being able to make Capital Improvements
sometimes and that kind of

807
01:09:07.000 --> 01:09:12.839
thing um you need to check when you s
first look at the noo I think that you

808
01:09:12.839 --> 01:09:18.640
want to check eligibility deadlines and
requirements to make sure that you

809
01:09:18.640 --> 01:09:22.120
actually qualify before you start
putting a lot of work into

810
01:09:22.120 --> 01:09:28.040
it um Define your need and when I say
Define your need I mean with

811
01:09:28.040 --> 01:09:36.199
data and then use that data to tell your
story next I think you need to get your

812
01:09:36.199 --> 01:09:40.560
team assembled and I consider the team
your own

813
01:09:40.560 --> 01:09:46.960
experts I would use them to brainstorm
for input and then you can divvy things

814
01:09:46.960 --> 01:09:51.520
up and assign different duties for
different parts of the application to

815
01:09:51.520 --> 01:09:56.480
different people and again I'm
describing an Ideal World you

816
01:09:56.480 --> 01:10:03.480
know which doesn't always happen in this
order or quite as nicely right

817
01:10:03.480 --> 01:10:09.239
um I think you want to create a program
that is tailored to your specific

818
01:10:09.239 --> 01:10:13.640
Community um in our case it's going to
be tailored to our state most of the

819
01:10:13.640 --> 01:10:19.159
time but within that you can also have
something that is tailored to specific

820
01:10:19.159 --> 01:10:24.520
communities or distributed
geographically and things like that so

821
01:10:24.520 --> 01:10:29.600
you have a certain amount of leeway in
your proposal it doesn't have to be one

822
01:10:29.600 --> 01:10:35.040
size fits
all

823
01:10:36.360 --> 01:10:43.920
um sorry I lost my place oh seek a
community support so you can design a

824
01:10:43.920 --> 01:10:49.080
great mouse trap but if the people
aren't aren't willing to catch mice it's

825
01:10:49.080 --> 01:10:54.239
not going to do you any good right um
and then think about the outcomes that

826
01:10:54.239 --> 01:11:00.600
you expect
or hope for but also keeping in mind

827
01:11:00.600 --> 01:11:05.280
that sometimes you get different
outcomes which is neither better nor

828
01:11:05.280 --> 01:11:09.840
worse but you want to be open-minded and
flexible about

829
01:11:09.840 --> 01:11:18.120
it build a project timeline that closely
matches the available period of

830
01:11:18.120 --> 01:11:22.080
performance and expect that you might
need to start

831
01:11:22.080 --> 01:11:26.679
later and you want to keep a cushion of
time on the back

832
01:11:26.679 --> 01:11:32.280
end in a perfect world you would be able
to do both of those things make sure

833
01:11:32.280 --> 01:11:38.960
that when you're doing this plan you
are making sure that you know exactly

834
01:11:38.960 --> 01:11:43.520
who is going to be responsible for the
different sections in

835
01:11:43.520 --> 01:11:47.199
that I think you always want to work
with a

836
01:11:47.199 --> 01:11:52.800
template be careful about allowable
things which can vary from Grant to

837
01:11:52.800 --> 01:11:57.880
Grant don't put anything in your budget
budget that isn't in the plan you should

838
01:11:57.880 --> 01:12:01.120
be able to draw lines from one thing to
the

839
01:12:01.120 --> 01:12:06.239
other um I would also say you should
always ask questions instead of making

840
01:12:06.239 --> 01:12:11.239
assumptions about what is allowable or
how things can be

841
01:12:11.239 --> 01:12:18.000
done check your
math and then have someone else check it

842
01:12:18.000 --> 01:12:25.560
again and have someone read your
proposal who isn't familiar with it to

843
01:12:25.560 --> 01:12:31.840
make sure that it's really clear and try
to be open-minded about accepting edits

844
01:12:31.840 --> 01:12:37.320
and suggestions from other people I
think that lots of times we have such

845
01:12:37.320 --> 01:12:42.560
ownership over our creation that it's
hard to be open-minded and willing to

846
01:12:42.560 --> 01:12:49.520
let other people make suggestions or at
least for me that can be a

847
01:12:49.520 --> 01:12:53.760
problem okay next

848
01:12:56.679 --> 01:13:03.520
so this is what the reality looks like
these are all federal entities

849
01:13:03.520 --> 01:13:09.520
platforms
that um what's the word I want to use

850
01:13:09.520 --> 01:13:15.159
tools that we've had to work with over
the last year for about four different

851
01:13:15.159 --> 01:13:22.040
grants and you notice I don't even have
LST or imls in this

852
01:13:22.040 --> 01:13:28.719
right that um I think that you need to
be

853
01:13:28.719 --> 01:13:34.600
um we're both spoiled and also we're
given an advantage because of our IML

854
01:13:34.600 --> 01:13:39.159
experience but don't expect that you'll
be able to contact a person to answer a

855
01:13:39.159 --> 01:13:44.280
question or even know who that person is
that you can contact or even get an

856
01:13:44.280 --> 01:13:49.199
answer in any kind of timely way and
that's you just have to roll with the

857
01:13:49.199 --> 01:13:54.040
punches on that um that's why I say that
we're really spoiled because we can

858
01:13:54.040 --> 01:13:57.719
always reach out to our person program
officers here and get

859
01:13:57.719 --> 01:14:04.199
answers um so you have platforms you'll
have deadlines you'll have logins for

860
01:14:04.199 --> 01:14:11.120
each of these you'll have meetings that
you can go to or not and as our

861
01:14:11.120 --> 01:14:13.840
colleague from Idaho said I would
encourage you to go to everything that

862
01:14:13.840 --> 01:14:18.600
you possibly
can

863
01:14:18.679 --> 01:14:25.600
um I think that the reporting is also a
huge thing because it's difficult

864
01:14:25.600 --> 01:14:30.520
sometimes to understand what they
want um it's difficult to restrict

865
01:14:30.520 --> 01:14:36.080
yourself to what they want I think most
program reporting has become more and

866
01:14:36.080 --> 01:14:41.520
more streamlined but you don't always
feel like you're able to tell your story

867
01:14:41.520 --> 01:14:45.320
but really telling your story needs to
come at the beginning in your

868
01:14:45.320 --> 01:14:50.639
application and then hopefully you'll
able to achieve it but most of the

869
01:14:50.639 --> 01:14:56.719
reporting that we've had to do recently
has really been just the facts ma'am M

870
01:14:56.719 --> 01:15:02.719
no um anyway I'm not even sure that I've
included in here a complete list of

871
01:15:02.719 --> 01:15:07.880
everything that we had to deal with and
as I said this is just the last calendar

872
01:15:07.880 --> 01:15:15.120
year um one thing that we had some
success with was what they call

873
01:15:15.120 --> 01:15:20.840
congressionally directed spending or a
set asde grant um which was formerly

874
01:15:20.840 --> 01:15:27.080
known as pork barrel or earmarked money
yeah um and I think that it's a good

875
01:15:27.080 --> 01:15:35.239
entry level type thing for federal money
especially if you have any kind of clout

876
01:15:35.239 --> 01:15:40.560
or if you have a congressman who's
interested in libraries or in helping

877
01:15:40.560 --> 01:15:47.880
develop this kind of thing we we've been
very lucky in this and it really allows

878
01:15:47.880 --> 01:15:51.440
you to design the program that you want
to

879
01:15:51.440 --> 01:15:56.320
do and the program that I was talking
about that we're trying to get funded

880
01:15:56.320 --> 01:16:01.800
now for the 250th anniversary this is
where we started with this and we know

881
01:16:01.800 --> 01:16:06.840
we're on a list but until Congress
actually votes on it you're not going to

882
01:16:06.840 --> 01:16:11.280
know so yeah and the interesting thing
about this too is that if you do get one

883
01:16:11.280 --> 01:16:14.679
of these grants it is then assigned to a
different

884
01:16:14.679 --> 01:16:18.600
agency and that's why I have in here
that National I think I have have

885
01:16:18.600 --> 01:16:23.280
national archives in here yes National
Archives because the one we have now is

886
01:16:23.280 --> 01:16:26.679
funded through National Archives so then
you get a call from National Archives

887
01:16:26.679 --> 01:16:31.880
and they say well it turns out that we
have to do this because blah blah blah

888
01:16:31.880 --> 01:16:37.280
and they're not always exactly delighted
that you're being added to their list of

889
01:16:37.280 --> 01:16:42.440
things to do but oh
well okay so I think you need to stay

890
01:16:42.440 --> 01:16:47.120
agile you could get an award that could
be cancelled which is what happened to

891
01:16:47.120 --> 01:16:52.719
us with the ACP program or you could get
a partial award which also happened to

892
01:16:52.719 --> 01:16:57.360
us with the ACP program and I guess you
could just say no we don't want that

893
01:16:57.360 --> 01:17:03.400
$600,000 just keep it and we'll do
something else but you know if feel like

894
01:17:03.400 --> 01:17:07.719
no we do want that money because we have
a lot of good things to do with it so

895
01:17:07.719 --> 01:17:13.840
then you have to be able to adjust and
you know make it

896
01:17:13.840 --> 01:17:17.880
fit get that square
[Laughter]

897
01:17:17.880 --> 01:17:25.360
peg anyway next slide last
slide um tried in true training

898
01:17:25.360 --> 01:17:31.480
when I first started working at the
State Library my boss said oh I think

899
01:17:31.480 --> 01:17:35.639
you should go for training and I thought
you know I've been working on grants in

900
01:17:35.639 --> 01:17:40.000
other agencies for a long time I don't
really know what you think I'm going to

901
01:17:40.000 --> 01:17:43.360
learn but

902
01:17:43.880 --> 01:17:51.400
okay and boy was it a wonderful thing so
I'm a great proponent of training now

903
01:17:51.400 --> 01:17:56.840
these are three different things that I
went to um which I thought were all

904
01:17:56.840 --> 01:18:01.320
valuable in their own way the first one
great the grants professional

905
01:18:01.320 --> 01:18:08.360
association I think has a lot more to do
with um foundations and they seem to

906
01:18:08.360 --> 01:18:15.679
priori prioritize freelance Grant
managers they do have a federal track so

907
01:18:15.679 --> 01:18:20.840
you could go in go to all the meetings
that are about federal government um

908
01:18:20.840 --> 01:18:24.880
I've never been in person I've only been
virtually and they seem to have a lot of

909
01:18:24.880 --> 01:18:31.080
fun in person but yeah um that's held
every year I think in November in

910
01:18:31.080 --> 01:18:36.199
different
cities um the national grants management

911
01:18:36.199 --> 01:18:43.320
association was one I found out about by
accident last year it is it was great

912
01:18:43.320 --> 01:18:48.520
I'm planning to go again this year it
has lots of fiscal information and it's

913
01:18:48.520 --> 01:18:53.960
always held in Washington DC so they get
a lot of great speakers who are part of

914
01:18:53.960 --> 01:18:59.280
federal funding
uh the last thing they had on the last

915
01:18:59.280 --> 01:19:05.159
day was a panel of about I don't six or
seven lawyers that worked at different

916
01:19:05.159 --> 01:19:10.960
agencies who were answering our
questions which was invaluable because

917
01:19:10.960 --> 01:19:17.080
usually have to pay for that
right so it was really really nice um

918
01:19:17.080 --> 01:19:23.800
yeah and I it was I think three and a
half days maybe really intense lots of

919
01:19:23.800 --> 01:19:29.040
options to do different things I didn't
see any other Library people there but

920
01:19:29.040 --> 01:19:31.960
everything they had was applicable I
would

921
01:19:31.960 --> 01:19:38.920
say um and then grant writing
USA is a focused one or two day

922
01:19:38.920 --> 01:19:43.960
workshop um they have a the Grant's
management side and the Grant's writing

923
01:19:43.960 --> 01:19:49.440
side I've done both the Grant's
management side I thought was a lot

924
01:19:49.440 --> 01:19:58.000
more um valuable to me a very intensive
lots of Le Al um understanding and stuff

925
01:19:58.000 --> 01:20:03.920
and I found the Grant's writing was kind
of more frivolous but it they they do

926
01:20:03.920 --> 01:20:07.000
these all over the country so it depends
upon where you go you can go on their

927
01:20:07.000 --> 01:20:11.040
website and look and then you can click
on where they're going and you can see

928
01:20:11.040 --> 01:20:15.560
who's sponsoring it so sometimes it's
the sheriff of such and such a county so

929
01:20:15.560 --> 01:20:23.040
that kind of gives you an idea of what
the timber is going to be there no so um

930
01:20:23.040 --> 01:20:27.239
like I said I went I I've gone twice
I thought one was very very useful and

931
01:20:27.239 --> 01:20:32.440
the other not so much and they're also
they also do a virtual version so it's a

932
01:20:32.440 --> 01:20:37.480
good way to do it if you don't want to
travel right that's it all right thank

933
01:20:37.480 --> 01:20:43.360
you so much Mora and to
Stephanie so all right so we're going to

934
01:20:43.360 --> 01:20:50.480
have some time at the table to discuss
um this topic um it might be a little

935
01:20:50.480 --> 01:20:56.440
trimmed down to make up for some time um
but yes and then we'll have share out

936
01:20:56.440 --> 01:21:01.760
and then wrap up this session thank you
any thoughts any Impressions virtual

937
01:21:01.760 --> 01:21:06.040
world is ready as usual with some

938
01:21:09.480 --> 01:21:12.600
ideas
ahg

939
01:21:12.600 --> 01:21:21.760
is n digitality comp
digal nice that's

940
01:21:21.760 --> 01:21:27.679
great
any Federal other Federal funding people

941
01:21:27.679 --> 01:21:31.520
in
person

942
01:21:31.520 --> 01:21:36.840
oh
Jennifer so

943
01:21:38.480 --> 01:21:42.840
it's Puerto Rico

944
01:21:49.460 --> 01:21:52.579
[Music]

945
01:22:07.200 --> 01:22:10.290
[Music]

946
01:22:19.320 --> 01:22:23.520
down yeah that is interesting thank you
for

947
01:22:23.520 --> 01:22:27.639
sharing here's Jennifer I was

948
01:22:28.600 --> 01:22:34.400
just
all a

949
01:22:35.760 --> 01:22:41.280
whole that was the point of this whole
conversation whole reason why we wanted

950
01:22:41.280 --> 01:22:43.800
to talk about

951
01:22:49.280 --> 01:22:55.639
it all right okay well if that's
everything thank you all so much for

952
01:22:55.639 --> 01:22:59.400
your participation and thanks to all of
our states for preparing the

953
01:22:59.400 --> 01:23:06.120
presentations thank you so
[Applause]

954
01:23:06.120 --> 01:23:12.480
much great job States great job W all
right I'm going to do lightning round

955
01:23:12.480 --> 01:23:18.199
wrapup so this is the time if you have
not yet filled out your survey it is in

956
01:23:18.199 --> 01:23:23.760
your packet I'd love you to take it out
or use the QR code and get a digital

957
01:23:23.760 --> 01:23:29.520
version of it fill it out while I'm
talking um we can multitask here it's

958
01:23:29.520 --> 01:23:33.920
cool so and digital folks I know you're
getting the link to the survey if you're

959
01:23:33.920 --> 01:23:39.280
still with us we appreciate you all
right so tell us tell us what we need to

960
01:23:39.280 --> 01:23:45.000
know and the next year we'll rinse and
repeat and do it better uh the

961
01:23:45.000 --> 01:23:50.120
appreciation wall was a huge hit so let
me just read out some of those as you're

962
01:23:50.120 --> 01:23:55.320
filling out your surveys and if the
multitasking too much for you it'll be

963
01:23:55.320 --> 01:23:58.440
on the recording later and we'll make
sure you get your

964
01:23:58.440 --> 01:24:04.199
appreciations um the first is thanks Ben
for coordinating our Wednesday night

965
01:24:04.199 --> 01:24:10.920
Dandan Excursion it was
great Erica from Texas I have a second

966
01:24:10.920 --> 01:24:14.960
sticky note that says thanks for
organizing a phenomenal dinner B and

967
01:24:14.960 --> 01:24:21.440
somebody seconded that um then we've got
a thanks thank Ben thanks Ben Miller for

968
01:24:21.440 --> 01:24:27.920
his advice on preparing for our site
visit from uh Janelle and Vermont yay

969
01:24:27.920 --> 01:24:32.800
and then thanks to Mora Walsh for her
Spanish language help at dinner also

970
01:24:32.800 --> 01:24:37.560
from Janette in
Vermont thank you Wendy and Mora for

971
01:24:37.560 --> 01:24:42.199
handling the gift exchange so much fun
Mary

972
01:24:42.199 --> 01:24:48.159
R Wendy Copan thanks for still being for
here for me even though I am a less

973
01:24:48.159 --> 01:24:55.119
broke us up now what this means is Wendy
used to be Janette

974
01:24:55.119 --> 01:25:00.239
mentor and then at a certain point we
decided Janette had graduated and so she

975
01:25:00.239 --> 01:25:03.880
didn't need Wendy anymore but when I
first read this I've got to admit I

976
01:25:03.880 --> 01:25:10.159
thought it said even though imls broke
us like we had broken you down so I'm

977
01:25:10.159 --> 01:25:14.600
glad it wasn't that no we broke you up
but you can still be friends yes all the

978
01:25:14.600 --> 01:25:18.520
soul
crushing uh we've got one that says

979
01:25:18.520 --> 01:25:27.480
Wendy SC is a great mentor don't we know
it and Mora is is awesome

980
01:25:27.480 --> 01:25:34.119
yay and Catherine is so kind and uh and
knowledgeable I appreciate her

981
01:25:34.119 --> 01:25:39.639
experience and her ability to set my
mind at ease whenever I have questions

982
01:25:39.639 --> 01:25:45.360
so
nice thanks Karen re from Michigan for

983
01:25:45.360 --> 01:25:52.159
all the help uh trying to select a GMS
the grants management system from

984
01:25:52.520 --> 01:25:58.639
Dena then we have more systems thank you
to everyone who shared info about their

985
01:25:58.639 --> 01:26:04.920
sub Awards and grants Management Systems
as we embark on the sub Awards Journey

986
01:26:04.920 --> 01:26:10.320
that is New
York uh then we have

987
01:26:10.320 --> 01:26:14.880
some imls ones I'm not going to read all
the imls ones if you shout it out a

988
01:26:14.880 --> 01:26:17.679
program officer I'll make sure they get
it directly but we think of the

989
01:26:17.679 --> 01:26:23.679
peer-to-peer wall as you know our our
accolades can come in the surveys if you

990
01:26:23.679 --> 01:26:28.480
have them but uh we will share we will
share the ones that are more General so

991
01:26:28.480 --> 01:26:33.440
Props to imls for hiring outside of the
library profession great additions and

992
01:26:33.440 --> 01:26:40.520
welcome to Lisa and Clifton that's nice
thank you to Clifton for the invitation

993
01:26:40.520 --> 01:26:48.040
to stand as needed yay that was
nice all right here's one I'd like to

994
01:26:48.040 --> 01:26:52.920
amplify nicolet's point that the way
imls administered its designated arpa

995
01:26:52.920 --> 01:26:57.800
funds and the way libraries utilize the
funds is an outstanding example of why

996
01:26:57.800 --> 01:27:03.639
libraries are a smart investment here
here great

997
01:27:03.639 --> 01:27:07.199
amplification okay this was a question
that showed up on the parking lot a

998
01:27:07.199 --> 01:27:12.800
little after the fact but um it says the
lsta coordinators email list serve is so

999
01:27:12.800 --> 01:27:18.400
helpful is there an archive and where
can I find it we don't actually know the

1000
01:27:18.400 --> 01:27:22.400
answer to this question does anybody in
the room know the answer to this

1001
01:27:22.400 --> 01:27:28.159
question because we can email Oregon and
find out and then we'll have Oregon

1002
01:27:28.159 --> 01:27:32.360
blast that to the list
serve we'll find

1003
01:27:32.360 --> 01:27:38.400
out um then just a few scenario props
Madison Cindy and Dennis get emys for

1004
01:27:38.400 --> 01:27:43.119
their scenario performances they sure

1005
01:27:43.760 --> 01:27:50.040
do thank you to madis Madison Cindy and
Dennis for providing so much joy and

1006
01:27:50.040 --> 01:27:56.119
light through the scenarios you took the
scary

1007
01:27:56.280 --> 01:28:01.470
monsters you took the scary monsters
down and made my day much

1008
01:28:01.470 --> 01:28:06.159
[Music]
cheddar that is adorable it doesn't have

1009
01:28:06.159 --> 01:28:11.199
attribution but we love it and then um
I'm going to land on warm cookies

1010
01:28:11.199 --> 01:28:19.199
exclamation point so thanks for that Mr
Matt brety and hotel Staff All right so

1011
01:28:19.199 --> 01:28:23.280
we did our peer-to-peer wall this is the
racing sausages by the way those of you

1012
01:28:23.280 --> 01:28:27.239
that went to the Brewer game might have
seen them in action they are high-fiving

1013
01:28:27.239 --> 01:28:30.760
their
friends uh we just want to thank again

1014
01:28:30.760 --> 01:28:35.920
everybody who just presented that was
very brave uh I thought it was awesome

1015
01:28:35.920 --> 01:28:38.960
and we appreciate

1016
01:28:40.679 --> 01:28:46.159
you there are some folks at imls who are
kind of behind the scenes doing great

1017
01:28:46.159 --> 01:28:50.159
stuff for us and of course we had our
acting director here in person so thank

1018
01:28:50.159 --> 01:28:53.760
you to them

1019
01:28:55.520 --> 01:29:01.000
and lastly just a thank you to all of
you you survived our boot camp you're

1020
01:29:01.000 --> 01:29:05.199
still standing and now we're going to
send you out to be the best stewards of

1021
01:29:05.199 --> 01:29:10.320
federal funds that you can be we know
you can do it um you have stayed engaged

1022
01:29:10.320 --> 01:29:15.719
throughout these two days you have been
supportive and fun and laughed with us

1023
01:29:15.719 --> 01:29:20.600
and we know that you support each other
in helping navigate not only the federal

1024
01:29:20.600 --> 01:29:24.920
layers of Grants management but the
state layers you are in valuable

1025
01:29:24.920 --> 01:29:30.040
Community to us and to each other and we
love seeing you and we're sad to say

1026
01:29:30.040 --> 01:29:35.320
goodbye but we look forward to being
together in person perhaps in Puerto

1027
01:29:35.320 --> 01:29:42.080
Rico next year we'll see we'll see until
next year until next year be well and

1028
01:29:42.080 --> 01:29:46.339
safe travels
[Applause]