WEBVTT 00:00:00.000 --> 00:00:30.000 All right. Hello, everybody, and welcome to this this Month's University Scholars Series, really excited to have Dr. 00:02:28.000 --> 00:02:33.000 Kristen Ratsliffe, redman from the school of information here. 00:02:33.000 --> 00:02:52.000 But before we begin we always start a our University Scholar series with our land acknowledgment. While we gather at San Jose State University, we are gathered on the Ethanol historic Tribal Territory of 00:02:52.000 --> 00:03:04.000 Gapmen Aloney, who were direct ancestors of the lineages and roads in the Moekmalony tribe, and who were missionized into Mission Santa Clara San Jose and the Lotus 00:03:04.000 --> 00:03:13.000 the land on which San Jose State University is established, and continues to be of significance to the mock Maloney tribe. 00:03:13.000 --> 00:03:19.000 We also recognize that the ancestors of the mock Malone constructed and maintained the 3 Bay Area missions. 00:03:19.000 --> 00:03:31.000 Our campus extends to surrounding areas that held up, and Daca traditional roadhouse which were once located at the historic lobbying Eagle, Nan Grant Rancho Bosomi 00:03:31.000 --> 00:03:34.000 Bosal solemnly imposit us. 00:03:34.000 --> 00:03:40.000 The Lasanimas, little wells of souls, and also Marcelo Pio, and Crystal balls. 00:03:40.000 --> 00:03:49.000 Land Grand Rancho, Holy Stack, which were places of celebration, and really jeers, ceremonies, as well as nearby ancestral heritage. 00:03:49.000 --> 00:03:55.000 Shell mount that served as the tribes traditional cemetery sites and territorial monuments. 00:03:55.000 --> 00:04:00.000 The San Jose State University also desires to honor the military service of the war. 00:04:00.000 --> 00:04:04.000 My men and women who have honorably served overseas during World War. 00:04:04.000 --> 00:04:12.000 One World War Ii. Korea vietnam Desert Storm Iraq, and we're still serving in the United Armed Forces today. 00:04:12.000 --> 00:04:28.000 Thank you. So before we jump in a couple of quick announcements and practical issues with live captioning is enabled you can hit the Cc. 00:04:28.000 --> 00:04:35.000 Button, and we are recording the webinar so that it can be posted later for those who might not be able to make it. 00:04:35.000 --> 00:04:39.000 I also encourage you to ask questions throughout. Please use the Q. 00:04:39.000 --> 00:04:54.000 And a function don't use the chat function and i'll be monitoring those and helping the the speaker manage through some of those questions after after the presentation is done with that I also want to be able to thank and 00:04:54.000 --> 00:04:58.000 acknowledge all the parts of the organization that have stepped into support. 00:04:58.000 --> 00:05:02.000 This event today which includes all the people in the office of the Provost. 00:05:02.000 --> 00:05:14.000 That work with all the amazing folks in the King Library. to put this event together, as well as support from the Spartan bookstore the division of research and innovation, and the school of information. 00:05:14.000 --> 00:05:29.000 So with that I want to turn now to a brief introduction of our speaker today, and i'm really excited to hear from Dr. Ratslith Redmond about equity focused data analytics for libraries for those who 00:05:29.000 --> 00:05:38.000 don't know Our speaker started with a degree a Bachelor of Science degree in biology, with a minor in chemistry at University of St. 00:05:38.000 --> 00:05:48.000 Joseph in Connecticut found her way into the master of Library and Information Science program here at San Jose State, and eventually completed a PHD. 00:05:48.000 --> 00:05:51.000 In communication in 2,007 from Uc. 00:05:51.000 --> 00:06:03.000 San Diego and in and of itself. i'm curious to hear how that should emerge It's just a really interesting story from a research and teaching perspective. 00:06:03.000 --> 00:06:16.000 Dr. Ratsliff Rebon works on issues related to equity, diversity, inclusion, practices, and thinking about the important ways in which libraries play a political critical role In that work. 00:06:16.000 --> 00:06:23.000 She has been successful in over $700,000 worth of scholar grants and contracts. 00:06:23.000 --> 00:06:38.000 She advanced the rank of full professor, in 2,019, and she has worked on a number of amazing projects, including 2 recent ones, Federal ones, who, the first of which she's collaborating with people at Harvard Berkeley 00:06:38.000 --> 00:06:49.000 Kent State and some corporate partners. The first one, planning neural systems and inclusion for inclusion focused moocs and guides, and a second one on implementation of an equity fluent leaders language 00:06:49.000 --> 00:06:54.000 clearinghouse for librarianship, data, analytics, and archival science. 00:06:54.000 --> 00:07:00.000 With that. It is very exciting for me to introduce our speaker and turn it over to her. 00:07:00.000 --> 00:07:07.000 So that she can engage us in a deeper conversation about equity, focused data analytics for libraries. 00:07:07.000 --> 00:07:10.000 So thank you for doing this thing. really. appreciate it. Wow! 00:07:10.000 --> 00:07:21.000 What a welcome! Thank you so much for that wonderful introduction i'm gonna go ahead and share my screen and hopefully. 00:07:21.000 --> 00:07:30.000 Everyone can see my presentation here my little puzzy here so we'll go ahead and get started. 00:07:30.000 --> 00:07:36.000 I I had my own little land acknowledgment. 00:07:36.000 --> 00:07:43.000 Which is really about, you know, sovereignty and respecting sovereignty in our communities. 00:07:43.000 --> 00:07:56.000 I also wanted to acknowledge the sovereignty of the Ukrainian nation, and the people there, and and just to acknowledge what they're experiencing and those geopolitical 00:07:56.000 --> 00:08:03.000 challenges, and so that's something that's the forefront of my mind, and and others as well. 00:08:03.000 --> 00:08:11.000 I also wanted, just as Provost El Casino son has wonderful introduction. 00:08:11.000 --> 00:08:15.000 I just want to acknowledge the risk of Advisory Council. 00:08:15.000 --> 00:08:27.000 I want to acknowledge his work, the office of research faculty affairs, the university library, the the university library, the events happen. 00:08:27.000 --> 00:08:39.000 The early. I enrich our community. So thank you to all of them for the invitation and for making these events happen all right. 00:08:39.000 --> 00:08:46.000 So today I just want to talk a little bit about myself. We'll be talking more about equity focused data analytics. 00:08:46.000 --> 00:09:01.000 We'll use a recent project of mine as a springboard to enter in that into that conversation. we'll talk about Tv whitespace, which is a new networking technology that i've been deploying for the past I 00:09:01.000 --> 00:09:10.000 would say, since 2,016 I started working on related project I'll talk about the intersection of Tv whitespace technology and libraries. 00:09:10.000 --> 00:09:21.000 Some of the obstacles that we face that have created a context where data analytics is a relevant approach to just addressing some challenges that we that have emerged. 00:09:21.000 --> 00:09:39.000 Then i'll talk more about data storytelling and how projects like the Tv White Space Project and other data focused and equity focused projects can help libraries accomplish accomplish their missions and their 00:09:39.000 --> 00:09:50.000 goals, and how data storytelling is part of that and then we'll just use you know we'll talk about a couple of other projects that I'm excited about and directions new directions. 00:09:50.000 --> 00:09:56.000 I think libraries can go in as they told their own data story story. 00:09:56.000 --> 00:10:00.000 So what's go ahead and just jump in a little bit about me? 00:10:00.000 --> 00:10:06.000 I I probably don't even need to see anymore proposal casinos that's so many nice things about me. 00:10:06.000 --> 00:10:15.000 But I you know i'm our actually from san diego I come from a navy family, and i'm a multi-ethnic person. 00:10:15.000 --> 00:10:23.000 So I have early experience with being a multi-ethnic multiracial person in in California a long time ago. 00:10:23.000 --> 00:10:35.000 And so that really, as informed a lot of my my professional and personal experiences and perspectives on things, I was a library kid. 00:10:35.000 --> 00:10:39.000 I was one of those kids that had a dad who would actually take them. 00:10:39.000 --> 00:10:51.000 The library multiple times per week, and my dad, you know he is older now. He has Parkinson's and is really facing a lot of challenges with that. 00:10:51.000 --> 00:10:57.000 And that's been something that i've had to face I know many of you out there also facing similar challenges. 00:10:57.000 --> 00:11:07.000 But yeah, my dad was great took me to the library, and librarians are some of the first people that inspired me and really helped to shape my career. 00:11:07.000 --> 00:11:13.000 I was a student athlete. so I really enjoy athletics. 00:11:13.000 --> 00:11:22.000 I was a volleyball player in college, but in my first trade was actually I was not as a librarian, was actually as a preschool teacher. 00:11:22.000 --> 00:11:28.000 So i'm just stuff I like I like to talk people about the stuff I like. 00:11:28.000 --> 00:11:40.000 I. My favorite library is the guys a library. Ucsd. I first visited that when I was 6 years old with my older sisters, and I never wanted to leave and it was hard for me to leave. 00:11:40.000 --> 00:11:46.000 When I finished the PHD. I just love that place I love ice cream, so you can see all the other things I like as well. 00:11:46.000 --> 00:11:51.000 I'm a big sci-fi person and so I'm, also a tourist. 00:11:51.000 --> 00:11:53.000 I'm a tourist of libraries and i'm a terrorist upon that. 00:11:53.000 --> 00:11:58.000 Yes, I just love Mexican red, just like everybody in California. 00:11:58.000 --> 00:12:08.000 I love libraries and beach libraries are like combined, like some of the 2 best things in the planet, like Provost casinos on my species and communication. 00:12:08.000 --> 00:12:25.000 I did community-based research for a really long time there for about 6 7 years. And so I've always been focused on equity issues and community justice in my work, using a those frameworks as like a a way of thinking 00:12:25.000 --> 00:12:33.000 about learning design at the community level and supporting community members in ways that they find relevant. 00:12:33.000 --> 00:12:37.000 So that's something that i've been doing for really long time. 00:12:37.000 --> 00:12:45.000 I love it. I still do it today that's been kind of a common thread through my different educational experiences. 00:12:45.000 --> 00:12:51.000 My Rtp. journey for anybody out there that's a faculty member. 00:12:51.000 --> 00:12:55.000 I joined the high school back in 2,007. 00:12:55.000 --> 00:13:00.000 I earned tenure promotion back in 2,013, and I was promoted to full professor in 2,019. 00:13:00.000 --> 00:13:16.000 So the type of work that I do is just, I guess I try to achieve energies with research, teaching and service between some of these different areas, learning design a new literacies on community-based research. 00:13:16.000 --> 00:13:22.000 Of course, distance education, you know. the school of information, as you know, is like on all online shop. 00:13:22.000 --> 00:13:29.000 We have been for many years, and so many of us right about our our learning designs. 00:13:29.000 --> 00:13:41.000 But students and about the distance context and so that's been something that's very much in my career is to think about how to do design and really relevant ways for students. 00:13:41.000 --> 00:13:57.000 So how to create rich learning contexts and how to design them i'm just that thread just through my own live and my own life experiences and also my research community based research i've always been a very focused on justice 00:13:57.000 --> 00:14:09.000 diversity happening. inclusion as I as a foundation for my research and teaching, and that's something that continues today. 00:14:09.000 --> 00:14:14.000 So let's talk little bit more about today. so we want to talk about equity. 00:14:14.000 --> 00:14:19.000 Focused data analytics for library. So where do we start? 00:14:19.000 --> 00:14:31.000 You know there's some key definitions for today i'm thinking about libraries as spaces, whether in a library building or out in a community that serve community members. 00:14:31.000 --> 00:14:53.000 Information information needs So when we think about digital equity we're thinking about and libraries or thinking about how libraries can promote the access to information and equitable ways, so that access is distributed in ways across the community that don't leave folks 00:14:53.000 --> 00:15:04.000 out. You know that that support people that are traditionally under resource. And so libraries, librarians are very focused on digital equity. 00:15:04.000 --> 00:15:12.000 And so this issue of data analytics I is somewhere at New But we'll be talking more about those definitions. 00:15:12.000 --> 00:15:17.000 But for now I just want to talk about libraries as a community anchor institutions. 00:15:17.000 --> 00:15:24.000 So when you think about digital equity and i'll give you a more detailed definition of that in a second. 00:15:24.000 --> 00:15:37.000 But thinking about libraries as being community anchor institutions as institutions that are providing Internet access to community members similar to schools and other community information centers. 00:15:37.000 --> 00:15:47.000 And so some of the roles that libraries play as community anchors are as information access providers. 00:15:47.000 --> 00:15:56.000 They're promoted of digital equity they leverage and provide access to communications, infrastructures. 00:15:56.000 --> 00:16:07.000 They're also involved in disaster response. and So they have these important roles of social cohesion learning and research and cultural expression. 00:16:07.000 --> 00:16:12.000 So libraries as settings have a lot going on and a lot of missions. 00:16:12.000 --> 00:16:26.000 There's mission creep all the time for what libraries doing could be doing, and they're just really rich in environments to study. 00:16:26.000 --> 00:16:43.000 And I I guess, realized goals for helping people it's So when we think about digital equity, there's a bunch of other terms that are sort of connected to those contents like the last mile. 00:16:43.000 --> 00:16:47.000 If we would want to think about You know, how do we get all the people that are not connected right now? 00:16:47.000 --> 00:16:54.000 How do we get them connected? Well, the distance between those people that are connected right now, and those that aren't that's the last mile. 00:16:54.000 --> 00:17:01.000 Libraries are always trying to. They help us reach that last mile. 00:17:01.000 --> 00:17:10.000 Another key term is the homework app, and for those of you that have connections to schools and even higher education contacts. 00:17:10.000 --> 00:17:22.000 Some of our students don't necessarily have broadband in the home, or in there context, where they're working all the time. 00:17:22.000 --> 00:17:32.000 And so for them to complete their homework. they may not have the information and communication technology connections that they need to get done what they need to get done. 00:17:32.000 --> 00:17:42.000 And that's the big issue in k 12 as Well, usually I'm not talking about homework gap we're talking about K 12, but it also it's a big issue in higher ed context. 00:17:42.000 --> 00:17:47.000 As well. So we want to get everyone connected so that they can complete what they need to do. 00:17:47.000 --> 00:18:02.000 And so for data analytics. and libraries it's really about using data sets to help us accomplish our missions in more strategic ways. 00:18:02.000 --> 00:18:09.000 And so this is an infographic that I found from a business that's talking really about business analytics. 00:18:09.000 --> 00:18:24.000 But I think it's highly relevant when we're thinking about complex data science, or even like structured data sets things that are formalized data sets that have been cultivated or unstructured data sets that are things 00:18:24.000 --> 00:18:29.000 like. Maybe social media might be something that you come in contact with all the time that are unstructured. 00:18:29.000 --> 00:18:38.000 There's a lot of goals that we can achieve where these data sets and some of them are descriptive like what's happening in this case with this with this infographic It's really about what's going 00:18:38.000 --> 00:18:52.000 on in my business bever libraries it's like what's happening in my in my library, and so you might have a data set that talks about usage statistics combined with other data sets that communicate in information about 00:18:52.000 --> 00:18:56.000 maybe demographics or the the local economy. Things like that. 00:18:56.000 --> 00:19:07.000 We might use it for diagnostic purposes and What we're going to talk in a few minutes about how data sets help us understand the deployment. 00:19:07.000 --> 00:19:11.000 Of this new networking technology and some of the challenges there. 00:19:11.000 --> 00:19:23.000 And so diagnostic can definitely data us can tell us why something is happening, especially if you're facing challenges. Data sets can also be analyzed to make predictions. 00:19:23.000 --> 00:19:27.000 And so that's something that we'll talk about in a few minutes as well. 00:19:27.000 --> 00:19:35.000 So we wanted to know where we could most successfully deploy this technology because some of the context that we thought it would work and it didn't. 00:19:35.000 --> 00:19:45.000 And so data sets helped us explore how to predict future success. and then prescriptive like, what do I need to do. 00:19:45.000 --> 00:19:48.000 And so what do libraries need to do? I can say, Look at all these data sets. 00:19:48.000 --> 00:19:57.000 You can combine them, and you can come up with I projects and activities that libraries could do. 00:19:57.000 --> 00:20:04.000 That would be equity focused and would be promotive of justice. 00:20:04.000 --> 00:20:12.000 Inclusion improved access and so that's that's what libraries are up to, and data analysts can help. 00:20:12.000 --> 00:20:15.000 And we have, we actually have a new bachelor of science program. 00:20:15.000 --> 00:20:21.000 This is my little plug for our program, and our our new faculty member, and that's running that program. 00:20:21.000 --> 00:20:35.000 Dr. Shavit. Gosh! He has a great quote that I harvested from our website that says we want our students to learn how to analyze data, but through a social lens for the benefit of the system at large So our students will get the opportunity 00:20:35.000 --> 00:20:48.000 to influence lives and solve social issues and so that kind of really captures what I've tried to do I have done something really applied which is to deploy a new networking networking technology. 00:20:48.000 --> 00:21:05.000 But then i'm thinking more about data analytics and its relationship to improving my efforts, it's really about this goal of looking through a social ends and Ellen and equity lens how to benefit our community members and so i'm trying to 00:21:05.000 --> 00:21:10.000 do what we're trying to Teach our students so it sorry that that's, you know. 00:21:10.000 --> 00:21:28.000 If you want to think about how the skill of information distinguishes itself with regard to data analytics, That's how the social lens information, you know, information centers, community information centers as context stuff like that and So we've talked a 00:21:28.000 --> 00:21:33.000 lot about definitions. So we kind of know what libraries are doing what they want to do with digital equity. 00:21:33.000 --> 00:21:37.000 And now we're going to jump into this project that i've been working on for several years. 00:21:37.000 --> 00:21:46.000 I. in 2,008 the Fcc. released these channels that were associated with the old. 00:21:46.000 --> 00:21:52.000 I radio frequency spectrum for the old Tv channels. 00:21:52.000 --> 00:21:58.000 And so when they release them for public use, then all of a sudden, you could use those spectr. 00:21:58.000 --> 00:22:06.000 Are those frequencies to try transmit Internet information and data. 00:22:06.000 --> 00:22:19.000 And so there was this push to design cognitive radios that could propagate Internet signals on until you know geographic, new geographic spaces. 00:22:19.000 --> 00:22:23.000 If you had a broadband connection, then you could use these cognitive radios. 00:22:23.000 --> 00:22:31.000 That engineer so really brilliantly designed that's my plug for engineers to I propagate Internet signals. 00:22:31.000 --> 00:22:48.000 And so There's been lots of companies that have been involved in designing is radios and base stations and receivers and things like that that make the propagation possible. 00:22:48.000 --> 00:23:05.000 What has been powerful about Tv right? space and Why, it was attractive is that it's not like all the traditional line of sight like there are different types of radios that can transmit internet signals. 00:23:05.000 --> 00:23:16.000 But they're line of sight and so you can be like limited in terms of your ability to deploy things if you dependent on that line of site. 00:23:16.000 --> 00:23:31.000 Now Tv widespread. has some advantages along those lines we're talking about childs 14 through 51 those unused frequencies in the Tv band. So you can propagate those signals into new community spaces. 00:23:31.000 --> 00:23:47.000 And so if you're a library person you could have a base station in your library that has a broadband connection in so your back hall can be propagated to new community spaces using Tv widespread frequencies and channels 00:23:47.000 --> 00:24:00.000 Okay, And so this is what a community would look like that's lit up with Tv widespread, and it helps to you know, extend the library's mission as a community anchor institution in new and exciting 00:24:00.000 --> 00:24:17.000 ways. And so contexts like the covid context, demonstrate how critical it is that community members have Internet access across their communities, not just in the library. 00:24:17.000 --> 00:24:22.000 And you know the covid is like a special context in terms of it being a pandemic context. 00:24:22.000 --> 00:24:35.000 But there's other natural disasters. where libraries need community access points for populations in crisis, and so it could be anything from like a fire or a really bad storm. 00:24:35.000 --> 00:24:43.000 And so technolic equipment associated with Tb widespread space can be actually portable. 00:24:43.000 --> 00:24:49.000 So you could put a receiver on a trailer and move it around with populations. 00:24:49.000 --> 00:24:55.000 In crisis that they can access the Internet in places that are safe for them. 00:24:55.000 --> 00:25:01.000 Even if the wider community isn't safe then they might go to like a shelter or something, and still have access. 00:25:01.000 --> 00:25:12.000 And so here's an example of an Installation. that one of my projects funded, and Susan Beatrice, Nebraska, which is a rural part of Nebraska. 00:25:12.000 --> 00:25:24.000 Thus is the Basically, an antenna is broadcasting an Internet signal to a new community space. 00:25:24.000 --> 00:25:45.000 And then the community space can receive and this is an example of a community space that's receiving a signal in a park, and so that enables the community members to create a Wi-fi Hotspot in the community. 00:25:45.000 --> 00:25:49.000 So that people that visit the part can have access to Internet. 00:25:49.000 --> 00:25:59.000 Now you notice that mattress Nebraska. I mentioned is a really rural place, and it really is, and it's not just that we want to serve rural contexts. 00:25:59.000 --> 00:26:06.000 But when we talked before about the frequencies that were released by the Fcc. 00:26:06.000 --> 00:26:11.000 They're available to everyone but there's like in an urban area. 00:26:11.000 --> 00:26:21.000 There's a lot of independent broadcasters. that want access to those frequencies for their own activities, and so they were, have registered to use certain channels. 00:26:21.000 --> 00:26:26.000 And so there's not always you know channels available in an area. 00:26:26.000 --> 00:26:45.000 Now, rural spaces are more likely to have channels available, And so that has made Tv white space sort of like a happy scenario where the rural rural spaces need access, and they also have challenges or excuse me they also 00:26:45.000 --> 00:27:02.000 have challenge channels, and so it's great to be able to deploy team you entries, but not all spaces will work, and spaces that you thought should have availability and would be good scenarios for deployment are not 00:27:02.000 --> 00:27:20.000 always, and so we would find a place that was rural places in New Mexico that were for example, that we thought would not. That would have plenty of channels, and we found that they didn't or was competition we also found in 00:27:20.000 --> 00:27:24.000 some places that were rural. there was too much interference between the channels. 00:27:24.000 --> 00:27:34.000 Maybe there were channels that there weren't they weren't contiguous. and so there wasn't enough power from the Channel to really propagate signals in effective ways. 00:27:34.000 --> 00:27:40.000 And of course there's competition even in rural places there can be competition. 00:27:40.000 --> 00:27:55.000 So this is a figure of a community, in new mexico's a tribal community, and so what you see is this big blob of green surrounded by yellow and some purple. So green is what you really want to see it predicts 00:27:55.000 --> 00:28:06.000 good access to good ability to deploy Tv widespread network and that will be strong. 00:28:06.000 --> 00:28:25.000 There's channel availability. So this is what you want to see? But, like I said, lots of communities that you would think would look like Torians community and would be primed for a Tv white space are not and so data, 00:28:25.000 --> 00:28:29.000 analytics. You know I had lots of partners on my grounds. 00:28:29.000 --> 00:28:32.000 Some of them were like the State of New Mexico. 00:28:32.000 --> 00:28:40.000 Some of them were nonprofits, like national digital inclusion, aliens, school and health and libraries, broadband coalition. 00:28:40.000 --> 00:28:43.000 And you see Santa Barbara now my Uc. 00:28:43.000 --> 00:29:02.000 Santa Barbara partners really wonderful with data analytics. And they've taught me a lot about extending my thinking about how to deploy a new technologies, new information and communication technologies equity 00:29:02.000 --> 00:29:09.000 focused ways because they have their computer science colleagues. 00:29:09.000 --> 00:29:25.000 And so they have competencies that I don't and So with overcoming these challenges of saying that we're going to develop a project, and we're going to deploy this new technology, it's very 00:29:25.000 --> 00:29:34.000 unhelpful if you don't know ahead you can't predict it had like where the technology will work best. 00:29:34.000 --> 00:29:37.000 And so I wanted to collaborate with them to find out. 00:29:37.000 --> 00:29:48.000 You know, you know what the different data sets could tell us that are out there about the production of context, where it would work. 00:29:48.000 --> 00:29:57.000 I wanted to know where libraries should focus, because, like, you know, once you have this information, you can say, look, library. 00:29:57.000 --> 00:30:02.000 You should tell your community that we're an optimal contact to deploys new technology community. 00:30:02.000 --> 00:30:07.000 Please give us funds to help us do this for our community members. 00:30:07.000 --> 00:30:24.000 I'm: just as a reminder. so we wanted you descriptive exploration diagnostic exploration which we were able to do to understand why these communities weren't working, when we would try to deploy the technology, and then 00:30:24.000 --> 00:30:28.000 we want to predict. So then we want to predict where the technology will work the best. 00:30:28.000 --> 00:30:35.000 And then prescribe and be prescriptive in terms of library should be doing this in this area. 00:30:35.000 --> 00:30:43.000 It'll work here it's a good idea let's do it. And so, like I mentioned before, we had structured data sets that were geospatial. 00:30:43.000 --> 00:30:52.000 But we also have data sets that come from the Institute Museum and Library Services, which is a Federal agency, and the Fcc. 00:30:52.000 --> 00:31:02.000 Of course, about these licensed channels. We didn't work with unstructured data sets for this project, but I can imagine scenarios where libraries might do that. 00:31:02.000 --> 00:31:15.000 So this is an example. I showed you that that beautiful event of tore own that communicated on. 00:31:15.000 --> 00:31:30.000 You know the signals strength in that community, but I haven't shown you yet how you can search databases that communicate the availability of channels in an area, and so you can see that I have this these lists of community spaces with our 00:31:30.000 --> 00:31:38.000 geospatial coordinates which I can enter into a Tv white space data database to under channel availability. 00:31:38.000 --> 00:31:46.000 Now in this community which is in dulseay new Mexico we can see that there's a lot of channel availability. 00:31:46.000 --> 00:31:49.000 That's contiguous, and so when I look at that that tells me. Wow! 00:31:49.000 --> 00:31:55.000 This would be a great community to deploy the technology because the signal strength will be straight. 00:31:55.000 --> 00:32:12.000 You could even go like there are places even in California where you could engage with a database like a Tv white space Channel database, and find that there's channels like you might have channel 14 and then you have channel 30 and 00:32:12.000 --> 00:32:30.000 then you have channel 45 and you wouldn't know initially that until you went out there and ran a simulation to understand that there's too much noise in those channels that are just sitting there all by themselves because they're 00:32:30.000 --> 00:32:40.000 surrounded by broadcasters. you wouldn't so you wouldn't have the power that you need to really propagate Internet signals. 00:32:40.000 --> 00:32:42.000 And so this is an example that's just another piece of the puzzle. 00:32:42.000 --> 00:32:52.000 But it's a data set that can be combined with other datasets to tell a data story about the community and the library. 00:32:52.000 --> 00:32:59.000 That's connected to it, so i'm trying to move around my gallery here. 00:32:59.000 --> 00:33:06.000 This is an image of, so I have the partners at Uc. Santa Barbara, but I also have corporate partners. 00:33:06.000 --> 00:33:11.000 Adapterum. Corp is A. They make you equipment for Tv wise, but they also deploy it. 00:33:11.000 --> 00:33:28.000 They also do like installs and stuff like that one of the places that they, the the field and engineer that I've been with is in namibia, actually, and he does some great stuff in the African context, Its equity. 00:33:28.000 --> 00:33:43.000 Focused as well. And so he and other partners and adoption have worked with data sets that we have that are public libraries to give us this initial teaser map that gave us this teaser that said look at all 00:33:43.000 --> 00:33:50.000 the channels that are from like Fcc. data sets. 00:33:50.000 --> 00:34:01.000 That would be, you know, of available across the nation in library, you know, public library areas. 00:34:01.000 --> 00:34:21.000 And so which you can see are areas that are blue have more channels, more channel availability and things that are really dark have very little channel availability, and, as generally it says, urban areas that that don't have anything no availability 00:34:21.000 --> 00:34:35.000 And so this was kind of like a teaser to get me thinking about the issue of what data analytics could do to push the the projects forward. 00:34:35.000 --> 00:34:40.000 And so like I mentioned I had some key partners esther show Walter. it's a doctoral student there at Uc. Berkeley. 00:34:40.000 --> 00:34:43.000 She is great. she's computer science and doctoral student Dr. 00:34:43.000 --> 00:34:49.000 Elizabeth belding who's I think She's a dean now, but she was a full professor. 00:34:49.000 --> 00:35:00.000 She is a full professor in the community computer science department she's also very interested in equity focused networking technology deployment. 00:35:00.000 --> 00:35:11.000 But also she's very keen on understanding data usage. so she they just, you know, between them that have a lot of skills and competencies in this area of data analytics. 00:35:11.000 --> 00:35:16.000 And then, of course, my corporate partners adapter and core. Okay. 00:35:16.000 --> 00:35:22.000 And so for this project. when we started moving in the direction of data analytics we wanted to take. 00:35:22.000 --> 00:35:32.000 We took 4 data science when was a public library's survey data that came from Imls, which again is instituted museum and library services. 00:35:32.000 --> 00:35:47.000 And then we had Internet access data, We had Tv widespread channels available and geospatial information about census blocks and populations near libraries and surrounding neighborhoods, and so we've been able to 00:35:47.000 --> 00:36:01.000 communicate on continuous channels which make deployment of Tv white space networking technology more feasible and have a greater potential for success. 00:36:01.000 --> 00:36:08.000 We can look at the States that are primed with the the most channel availability. 00:36:08.000 --> 00:36:18.000 And you as you might expect rural states like I'll ask North Dakota South Dakota Montana. 00:36:18.000 --> 00:36:29.000 Places like that have lots of channel availability. The send it some of the tech tools that we used to analyze the data sets. 00:36:29.000 --> 00:36:33.000 Whereas Python, 3.9, with Pandas and Geo. 00:36:33.000 --> 00:36:37.000 Pandas and Qgi asked, is used to plot the libraries and census blocks as maps. 00:36:37.000 --> 00:36:48.000 And so some of there was some smoothing of the data science that needed to be done, as all of those data sets were brought in. 00:36:48.000 --> 00:36:54.000 And so that was something that was facilitated with those technology tools. 00:36:54.000 --> 00:37:04.000 So I think the story here, and just going back to that's slide here. 00:37:04.000 --> 00:37:14.000 The story is really about how you can have an awareness of a new technology in this case a new networking technology. 00:37:14.000 --> 00:37:30.000 But sometimes, as we know that technology doesn't always work as we plan it to I and oftentimes, you'd be surprised how many data sets are out there now in cultivating relationships is So important the with the corporate data 00:37:30.000 --> 00:37:36.000 set from a dab trum. that was not something that was easily available. 00:37:36.000 --> 00:37:49.000 And so it was something that was just all about relationships, all about partnership to cultivate that data set and connect it to the data sets from Imls and the Gs. 00:37:49.000 --> 00:38:12.000 Spatial data sets as well. So So, thinking more about data storytelling, I mean, as libraries think about which technologies will be primed or could be used most strategically to help their community members. 00:38:12.000 --> 00:38:19.000 I It sounds to reason that there's other data storytelling projects that libraries can tell. 00:38:19.000 --> 00:38:36.000 So a library can say, Look, we know from the data sets developed by this project that it'll work in our community, and you know It's just strongly evidence-based research. 00:38:36.000 --> 00:38:51.000 That we can take those data sets to make a compelling argument about libraries, communities, and and technology, and what we can do to support our community members along the lines of digital equity. 00:38:51.000 --> 00:39:04.000 But there's a library is you know are thinking more and more. And I think that data storytelling say that libraries can advocate for their their programs, services, and collections. 00:39:04.000 --> 00:39:10.000 I is really gaining momentum. Librarians are generally pretty good with data and data sets. 00:39:10.000 --> 00:39:19.000 And so this is an example of one I try to share things with people. If they want to find out more information. 00:39:19.000 --> 00:39:23.000 If you're a library person you're an ala member like most of us are. 00:39:23.000 --> 00:39:36.000 This is a free resource that will help you gain a strong foundation, with data storytelling as a component of advocacy for your library. 00:39:36.000 --> 00:39:40.000 So there's some fabulous people that have been working on this Kathleen Mcdowell. 00:39:40.000 --> 00:39:46.000 He's an associate professor at irvana Shamhane. she's a at their school of information science. 00:39:46.000 --> 00:39:56.000 Lauren Muller is the new York State Librarian which is a great person as well, Whoman Sabari Tim Sarco. 00:39:56.000 --> 00:40:00.000 They're both, you know, community technologists and urban planners. 00:40:00.000 --> 00:40:16.000 Lots of people are working on these issues the census bureau data sets are so powerful to combine with other information and have been inspiring to me. And so that's if you want to kind of get a a more 00:40:16.000 --> 00:40:19.000 structured foundation for data, storytelling for libraries. 00:40:19.000 --> 00:40:34.000 That would be a great place to start more stories. Public libraries using data science in novel lanes is also gaining me momentum with other Federal agencies. 00:40:34.000 --> 00:40:41.000 My work has been connected strongly to data sets that came from the Fcc. 00:40:41.000 --> 00:40:45.000 But also connected to the Institute of Museum and Library services. 00:40:45.000 --> 00:41:01.000 Their data sets on public libraries. But the National Center for data services of the network of the National Library of Medicine is also a gainian momentum with their own data analytics projects. 00:41:01.000 --> 00:41:22.000 To understand lots of lots of questions. They just came out this year with an internship for students that might be interested in pursuing this direction in their career, which what I think would be a fruitful avenue for any young professional I 00:41:22.000 --> 00:41:32.000 would say that that's one of the hottest parts of our field right now as health informatics, health librarianship stuff like that. 00:41:32.000 --> 00:41:40.000 So use data sets can help libraries to say, to analyze, you know, answer questions about okay? 00:41:40.000 --> 00:41:46.000 So what are our community members struggling with right now? you might find like, especially in the Kobe context. 00:41:46.000 --> 00:41:56.000 Unfortunately, I was talking with the student about this the other day about the increase of intimate partner violence in the covid context like, and it's like an unfortunate thing. 00:41:56.000 --> 00:42:07.000 If we have data sets that describe the challenges that our community members are facing, then we can know we can have an evidence based rationale for the programming that we want to run. 00:42:07.000 --> 00:42:23.000 If we know that that our community members, as a community, is struggling with intermittent partner, Violence and librarians can say to their to their community stakeholders, Look, we would really benefit from funding to I support the development of 00:42:23.000 --> 00:42:32.000 private spaces in the library for community members that are suffering from these challenges. 00:42:32.000 --> 00:42:41.000 So it's all evidence-based advocacy for your library in lots of different species for academic libraries. 00:42:41.000 --> 00:42:46.000 I'm really excited about the and so as a faculty member I sort of have 2 hats. 00:42:46.000 --> 00:42:49.000 I have like my field that I came from the library information. 00:42:49.000 --> 00:43:02.000 Science Field had. But I also have my faculty hat one of the fun things I've been able to do is work with the center of faculty development on their faculty training program for online teaching and they exposed me to the student success 00:43:02.000 --> 00:43:07.000 dashboard, which is a system-wide effort to chart a student. 00:43:07.000 --> 00:43:16.000 Success, retention, and persistence. and so libraries for now are not participating in this. 00:43:16.000 --> 00:43:21.000 But I have a doctoral student coming in to our Gaway PHD. 00:43:21.000 --> 00:43:27.000 Program which is a partnership with Manchester Metropolitan University in the Uk. 00:43:27.000 --> 00:43:31.000 And the student is also writing faculty Member Cal state Bakersfield. 00:43:31.000 --> 00:43:38.000 So we're talking about what we could possibly do touch try to understand the relationship between library services and student success. 00:43:38.000 --> 00:43:53.000 And so this is something I'm excited about if you're out there, and you're excited about that to please connect with me, and something new a new direction that that I and dral Student are going on So let me go back so 00:43:53.000 --> 00:43:58.000 Those are just 2 avenues where you can think about equity. 00:43:58.000 --> 00:44:13.000 Think about different data sets that are out there, and you novel questions about the field, ask novel questions about our community communities and try to answer them in really strong evidence-based ways. 00:44:13.000 --> 00:44:24.000 And so, as we embark on our next journey, I just want to thank everyone here today, but joined us today. 00:44:24.000 --> 00:44:37.000 As I mentioned before, I also want to, you know. Just think, San Jose, state the people I work with really informally, and the University has been a great place, really been good to me. 00:44:37.000 --> 00:44:46.000 I want to thank my new director at the neat child has been very supportive of my work. Sandy Hirsch has been a champion of my work. 00:44:46.000 --> 00:44:51.000 Linda Maine is another champion of my work, and my students have been champions of my work. 00:44:51.000 --> 00:44:55.000 I hope some of you are here today, and I just want to thank you for for attending. 00:44:55.000 --> 00:45:10.000 It means a lot to me. And so, thanks to everyone, and thanks to my partners, some of them are been copy and pasted here. I do look forward to any new connections I might have with people that are out There or would like to do 00:45:10.000 --> 00:45:18.000 similar stuff. So please connect with me and thank you again to everyone who made this day possible. 00:45:18.000 --> 00:45:30.000 I appreciate being here, so does anybody have any questions? Well, thank you for a really amazing and informative talk. 00:45:30.000 --> 00:45:43.000 There are a couple of questions right now in the Q and a the first of which it ties to Tv Ws, and the kind of costs those might their libraries might incur. 00:45:43.000 --> 00:45:50.000 As a result of some of that. Is it costly? is it what you know, what what are the things we need to be thinking about? 00:45:50.000 --> 00:45:53.000 Institutionally as we go in a direct if we go in a direction like that. 00:45:53.000 --> 00:45:57.000 Yeah, that's actually a great question I seen or saw to go near. 00:45:57.000 --> 00:46:15.000 Alice was asking that with the when we did our first round of budgets, we for our first deployment, which was in main Nebraska, Georgia, and salt, that code we budgeted about 15,000 for deployment of a 00:46:15.000 --> 00:46:32.000 network, and it's still kind of in that range it depends a lot on what you're trying to achieve in your community, and how many new community spaces you would want to deploy to and whether you want a dedicated Internet 00:46:32.000 --> 00:46:37.000 connections to propagate to new spaces, but you know somewhere in that $15,000 range. 00:46:37.000 --> 00:46:42.000 It's it's cost effective because once you have the equipment. 00:46:42.000 --> 00:46:59.000 You don't have to necessarily pay for an additional monthly fee, for example, to do, because the the frequencies, you know the channels are in the public domain, and some of you know some of the libraries that are doing 00:46:59.000 --> 00:47:05.000 Cdma resources. it's more expensive because each unit has a monthly fee. 00:47:05.000 --> 00:47:09.000 I, so it can be cost-effective for libraries. 00:47:09.000 --> 00:47:25.000 There was another question actually popped in the chat. That, I think, is also really interesting, which is, how can libraries get grants to add access to for communities to get greater Internet availability and information availability? 00:47:25.000 --> 00:47:43.000 I think, would expand that question. i think that you know the there's been. there was a huge groundswell of funding that came through during the you know the pandemic that was Cares act grants you know that give and there's also a lot of 00:47:43.000 --> 00:47:48.000 funding that goes to the States directly for projects like this. 00:47:48.000 --> 00:47:57.000 So I would say that the the State Library is have their own funds that they distribute for projects like this. 00:47:57.000 --> 00:48:03.000 There was, you know, the Cares act, Grant that came down. 00:48:03.000 --> 00:48:07.000 That was sort of like for a cut like one year, just to get, you know. 00:48:07.000 --> 00:48:16.000 Try to gain some momentum with Internet access. And now you know, the E rate has an expansion right now. 00:48:16.000 --> 00:48:22.000 That also might provide some funding for new Internet connections. 00:48:22.000 --> 00:48:27.000 Lots of libraries. Use E rate funding to get basic broadband. 00:48:27.000 --> 00:48:33.000 But e rate has expanded some of its mission So that you can actually propagate some of those signals. 00:48:33.000 --> 00:48:44.000 As well that's really interesting. there's a whole I had a doctoral student. I was at Arizona do an entire thing on technological sovereignty in the way in which people are actually creating their own networks, 00:48:44.000 --> 00:48:49.000 and Barcelona Spain I mean there's a lot of that is a very different sort of take 00:48:49.000 --> 00:48:59.000 There's another question here, on looking at some examples that you might give for novel questions to ask, when examining these kind of data sets. 00:48:59.000 --> 00:49:04.000 So someone was. John Evans was just asking like, how might we think about that? 00:49:04.000 --> 00:49:10.000 But other projects might you know you can't get to maybe even you know that are out there that you're thinking about. 00:49:10.000 --> 00:49:18.000 So you know about that question about how something that like intimate partner violence. 00:49:18.000 --> 00:49:35.000 We it's something that there it's in a database somewhere like in the social services kind of like Federal database somewhere about rates of this that is tied to some sort of you know geospatial location which also can be tied 00:49:35.000 --> 00:49:40.000 to library Geospatially location, so that we can understand. 00:49:40.000 --> 00:49:55.000 How library can strategically support community members? So the question there is, How can we do more of our community for community members that are extremely in Thus, how can we be more supportive? 00:49:55.000 --> 00:50:12.000 Well, an activity like this would would say, Well, we know that these areas are experiencing this more than other areas, And so that can be just sort of a seed of evidence that you use when you work with stakeholders in your community some 00:50:12.000 --> 00:50:21.000 other questions might be with the with the student success. dashboard, you might just say. 00:50:21.000 --> 00:50:25.000 Well which classes right now in the Csu system. 00:50:25.000 --> 00:50:33.000 Have I coarse guides and outreach materials that have been developed for them? 00:50:33.000 --> 00:50:41.000 And so what can we say about the student achievement that have courses with these robust materials? 00:50:41.000 --> 00:50:51.000 Or you can say, Well, what course here's another question what courses do Have have the most students that are struggling. 00:50:51.000 --> 00:51:08.000 So what can the library do strategically? to support courses that with with known problems like if my course my students aren't doing well, and i'm a faculty member, i'm might want to know you know what can I do to help 00:51:08.000 --> 00:51:18.000 my students succeed. Well, maybe I should be partnering with the library that can create some some innovative materials to help them succeed, and that's something that I would I would love to do. 00:51:18.000 --> 00:51:28.000 I think that one that that really captures my imagination and that role that libraries can play in the students success and movement. 00:51:28.000 --> 00:51:35.000 You know, nationwide across all of the other's universities so many. 00:51:35.000 --> 00:51:45.000 You know the csu system isn't the only system with student success dashboards and data analytics that are focusing on students success. 00:51:45.000 --> 00:51:51.000 And so I want libraries to be part of that conversation, and that gets me excited, Awesome? 00:51:51.000 --> 00:52:00.000 Well, you had me a geospatial. I am a geographer, so I will say, the savvy center out of urban regional planning in San Jose State. 00:52:00.000 --> 00:52:02.000 One of the projects they did was actually on broadband access. 00:52:02.000 --> 00:52:15.000 You might want to connect with them there's an interesting set. of connections of geographic information and other types of information, and how it moves around the world. I would explore this a lot. but I want to make sure we get to the 00:52:15.000 --> 00:52:24.000 question from the student who really wanted to ask you says yes, I'm. interested in this type of the work, and how, as an Mis student, can I begin? 00:52:24.000 --> 00:52:33.000 What could I do now? aside from looking into the Ncds Internship So once a little insight, what to do? 00:52:33.000 --> 00:52:36.000 I love that question. I love E. J. I know A. J. 00:52:36.000 --> 00:52:51.000 Is my student. I think anything started I mean students always say, Oh, I don't want to do an internship. i'm too busy. But that is a great way to get started, because these fields that are data analytic focused in 00:52:51.000 --> 00:52:58.000 libraries are very you know they're just crying for candidates and their internship programs. 00:52:58.000 --> 00:53:03.000 I mean, we got an email saying, Please send the students to us. You know. 00:53:03.000 --> 00:53:18.000 We want. So internships are important i'm not going to minimize that there are a faculty that would love to be writing and publishing in this area, and the school of information you know, we're used to doing distributed research. 00:53:18.000 --> 00:53:25.000 And so a 289 is a special project that we can collaborate with students on a publication. 00:53:25.000 --> 00:53:34.000 That would be wonderful. we have courses also that are informatics focused and data analytics focus. 00:53:34.000 --> 00:53:38.000 And so I think that would be a great opportunity for students as well. 00:53:38.000 --> 00:53:46.000 Awesome. Well, I want to thank you so much for this talk, and for contributing to this lecture series. 00:53:46.000 --> 00:53:55.000 It's absolutely fantastic to see what you're working on and also get a sense of of all the different intersections that you bring. 00:53:55.000 --> 00:54:04.000 I mean what's so interesting about libraries and information science in general is you're working at the hub of all these interconnections, and that's clearly laid out in your work. 00:54:04.000 --> 00:54:12.000 And there's so much more opportunity and it's really great to have you working with our colleagues and our and our students. 00:54:12.000 --> 00:54:21.000 So really appreciate it. Thank you. Again, I mean, libraries are rich settings because they are crossroads for so many of these issues that have the like. 00:54:21.000 --> 00:54:27.000 Their robust, technologically speaking, to execute some of these activities, which is fun too. absolutely. 00:54:27.000 --> 00:54:35.000 So I will thank You on behalf of all the participants who came today as well as everybody in the office of the Provost in a library. 00:54:35.000 --> 00:55:05.000 There's lots of thank yous coming in through the chat right now, but really appreciate the fact that you were that you were able to share what you're working on right now with this audience.