NewsPatterns - visualisation layer of news feed miningSimon Price
Presentation to ILRT staff about the data visualisation layer for a multilingual news feed (blogs) data analytics pipeline developed in the Artificial Intelligence group in Engineering Maths and Computer Science at the University of Bristol.
The challenge of the intelligent libraryJames Clay
There has been plenty of hype over artificial intelligence and the internet of things. Is it time to put aside the cynicism that this kind of hype generates and look seriously at how we can take advantage of these emerging technologies to improve the student experience and build an intelligent library?
The internet of things makes it possible for us to gather real-time data about the environment and usage of our library spaces. It is easy to imagine using this data to ensure the library is managed effectively, but could we go further and monitor environmental conditions in the library, or even, using facial recognition software, student reactions as they use the library so that we can continually refine the learning experience?
Most smartphones now make use of artificial intelligence to make contextual recommendations based on an individual’s location and interests. Could libraries take advantage of this technology to push information and learning resources to students? If we could, it offers some interesting possibilities. On-campus notifications could nudge students to make best use of the available services such as the library. Off-campus notifications could encourage them to take advantage of the learning opportunities all around them. Could we use approaches like this to turn student’s smartphones into educational coaches, nudging students towards the choices that lead to higher grades and prompting them to expand their learning horizons.
As we start to use a range of tracking technologies, smart cards, beacons, sensors we are facing a deluge of data in the use of buildings, spaces and equipment across a college or university campus. We are faced with a breadth and depth of data which can be challenging to use effectively and have greatest impact. These tracking technologies are already widespread in environments such as airports and retail. Often using wifi tracking to track users via their wifi enabled devices and smartphones. In addition sensors are used to track space utilisation and occupancy. Interpreting the data is fraught with challenges and difficulties, as well as potential ethical and legal issues. However this wealth of data does offer the potential to deliver more satisfying experiences for students and staff as well as ensuring the library is used as effectively as possible.
An introduction to the Semantic Web and Semantic Technologies for Learning an...Katy Jordan
Jordan, K. (2011) An introduction to the Semantic Web and Semantic Technologies for Learning and Teaching. Lunchtime seminar presentation at City University, London, 15th February 2011.
International Journal of Computer Science, Engineering and Information Techno...ijcseit
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Engineering and Information Technology. The Journal looks for significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Digital fabrication as a library integrated serviceMatt Bernhardt
This was a presentation to Liberact 2014 on the possibilities for digital fabrication in the context of not only a library, but at MIT (where some fabrication technologies were developed, and access to new technology is not always lacking)
NewsPatterns - visualisation layer of news feed miningSimon Price
Presentation to ILRT staff about the data visualisation layer for a multilingual news feed (blogs) data analytics pipeline developed in the Artificial Intelligence group in Engineering Maths and Computer Science at the University of Bristol.
The challenge of the intelligent libraryJames Clay
There has been plenty of hype over artificial intelligence and the internet of things. Is it time to put aside the cynicism that this kind of hype generates and look seriously at how we can take advantage of these emerging technologies to improve the student experience and build an intelligent library?
The internet of things makes it possible for us to gather real-time data about the environment and usage of our library spaces. It is easy to imagine using this data to ensure the library is managed effectively, but could we go further and monitor environmental conditions in the library, or even, using facial recognition software, student reactions as they use the library so that we can continually refine the learning experience?
Most smartphones now make use of artificial intelligence to make contextual recommendations based on an individual’s location and interests. Could libraries take advantage of this technology to push information and learning resources to students? If we could, it offers some interesting possibilities. On-campus notifications could nudge students to make best use of the available services such as the library. Off-campus notifications could encourage them to take advantage of the learning opportunities all around them. Could we use approaches like this to turn student’s smartphones into educational coaches, nudging students towards the choices that lead to higher grades and prompting them to expand their learning horizons.
As we start to use a range of tracking technologies, smart cards, beacons, sensors we are facing a deluge of data in the use of buildings, spaces and equipment across a college or university campus. We are faced with a breadth and depth of data which can be challenging to use effectively and have greatest impact. These tracking technologies are already widespread in environments such as airports and retail. Often using wifi tracking to track users via their wifi enabled devices and smartphones. In addition sensors are used to track space utilisation and occupancy. Interpreting the data is fraught with challenges and difficulties, as well as potential ethical and legal issues. However this wealth of data does offer the potential to deliver more satisfying experiences for students and staff as well as ensuring the library is used as effectively as possible.
An introduction to the Semantic Web and Semantic Technologies for Learning an...Katy Jordan
Jordan, K. (2011) An introduction to the Semantic Web and Semantic Technologies for Learning and Teaching. Lunchtime seminar presentation at City University, London, 15th February 2011.
International Journal of Computer Science, Engineering and Information Techno...ijcseit
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Engineering and Information Technology. The Journal looks for significant contributions to all major fields of the Computer Science and Information Technology in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Digital fabrication as a library integrated serviceMatt Bernhardt
This was a presentation to Liberact 2014 on the possibilities for digital fabrication in the context of not only a library, but at MIT (where some fabrication technologies were developed, and access to new technology is not always lacking)
Knowledge Architecture: Graphing Your KnowledgeNeo4j
Ask any project manager and they will tell you the importance of reviewing lessons learned prior to starting a new project. The lesson learned databases are filled with nuggets of valuable information to help project teams increase the likelihood of project success. Why then do most lesson learned databases go unused by project teams? In my experience, they are difficult to search through and require hours of time to review the result set.
Recently I had a project engineer ask me if we could search our lessons learned using a list of 22 key terms the team was interested in. Our current keyword search engine would require him to enter each term individually, select the link, and save the document for review. Also, there was no way to search only the database, the query would search our entire corpus, close to 20 million URLs. This would not do. I asked our search team if they would run a special query against the lesson database only, using the terms provided. They returned a spreadsheet with a link to each document containing the terms. The engineer had his work cut out for him: over 1100 documents were on the list;.
I started thinking there had to be a better way. I had been experimenting with topic modeling, in particular to assist our users in connecting seemingly disparate documents through an easier visualization mechanism. Something better than a list of links on multiple pages. I gathered my toolbox: R/RStudio, for the topic modeling and exploring the data; Neo4j, for modeling and visualizing the topics; and Linkurious, a web front end for our users to search and visualize the graph database.
In this presentation, Ghansham introduces SMAC and associated trends. Having learnt nosql databases, his interest area is Big Data Analytics. He is interested to work on influencer identification and Visualization of Temporal Big Data.
Pendekatan untuk riset big data di bidang sosial dan politik:
1. Data governance dan privacy
2. Media Analysis
3. Social Network Analysis
4. Complex System Analysis
This roundtable presentation was provided by Heidi Becker of Digital Science, Todd Digby of the University of Florida, Amanda Ferrante of EBSCO, Tim Lloyd of Liblynx, Jennifer Leffler of The University of Northern Colorado and Tracy Tolliver of The University of Illinois Urbana-Champaign, during the NISO event "Talking to Your Organization’s IT Group When You’re Not an IT Person, Part Two," held on January 22, 2020.
Abstract:
Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.
International Journal of Database and Analytics(IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics . The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
EDF2013: Invited Talk Bríd Dooley: Cross-archival content discovery in the di...European Data Forum
Invited talk of Bríd Dooley, Head of RTÉ Archives, RTÉ Digital, at the European Data Forum 2013, 9 April 2013 in Dublin, Ireland: Cross-archival content discovery in the digital landscape.
Your digital humanities are in my library! No, your library is in my digital ...Rebekah Cummings
A presentation on the intersection of libraries and digital humanities presented at the Utah Digital Humanities Symposium at Utah Valley University on February 26, 2016.
International Journal of Database and Analytics(IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics . The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas
AI Lab at a Library? Why Artificial Intelligence Matters & What Libraries Can DoBohyun Kim
A talk given at the American Libraries Association Annual Conference, June 25, 2018 by Bohyun Kim, Chief Technology Officer, University of Rhode Island Libraries.
Taking on a New Leadership Challenge: Student-Focused Learning in Artificial ...Bohyun Kim
A conference talk given at the Internet Librarian International, London, UK. October 16, 2018 by Bohyun Kim, Chief Technology Officer & Associate Professor at the University of Rhode Island Libraries, USA.
Knowledge Architecture: Graphing Your KnowledgeNeo4j
Ask any project manager and they will tell you the importance of reviewing lessons learned prior to starting a new project. The lesson learned databases are filled with nuggets of valuable information to help project teams increase the likelihood of project success. Why then do most lesson learned databases go unused by project teams? In my experience, they are difficult to search through and require hours of time to review the result set.
Recently I had a project engineer ask me if we could search our lessons learned using a list of 22 key terms the team was interested in. Our current keyword search engine would require him to enter each term individually, select the link, and save the document for review. Also, there was no way to search only the database, the query would search our entire corpus, close to 20 million URLs. This would not do. I asked our search team if they would run a special query against the lesson database only, using the terms provided. They returned a spreadsheet with a link to each document containing the terms. The engineer had his work cut out for him: over 1100 documents were on the list;.
I started thinking there had to be a better way. I had been experimenting with topic modeling, in particular to assist our users in connecting seemingly disparate documents through an easier visualization mechanism. Something better than a list of links on multiple pages. I gathered my toolbox: R/RStudio, for the topic modeling and exploring the data; Neo4j, for modeling and visualizing the topics; and Linkurious, a web front end for our users to search and visualize the graph database.
In this presentation, Ghansham introduces SMAC and associated trends. Having learnt nosql databases, his interest area is Big Data Analytics. He is interested to work on influencer identification and Visualization of Temporal Big Data.
Pendekatan untuk riset big data di bidang sosial dan politik:
1. Data governance dan privacy
2. Media Analysis
3. Social Network Analysis
4. Complex System Analysis
This roundtable presentation was provided by Heidi Becker of Digital Science, Todd Digby of the University of Florida, Amanda Ferrante of EBSCO, Tim Lloyd of Liblynx, Jennifer Leffler of The University of Northern Colorado and Tracy Tolliver of The University of Illinois Urbana-Champaign, during the NISO event "Talking to Your Organization’s IT Group When You’re Not an IT Person, Part Two," held on January 22, 2020.
Abstract:
Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.
International Journal of Database and Analytics(IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics . The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas.
EDF2013: Invited Talk Bríd Dooley: Cross-archival content discovery in the di...European Data Forum
Invited talk of Bríd Dooley, Head of RTÉ Archives, RTÉ Digital, at the European Data Forum 2013, 9 April 2013 in Dublin, Ireland: Cross-archival content discovery in the digital landscape.
Your digital humanities are in my library! No, your library is in my digital ...Rebekah Cummings
A presentation on the intersection of libraries and digital humanities presented at the Utah Digital Humanities Symposium at Utah Valley University on February 26, 2016.
International Journal of Database and Analytics(IJDA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Database and Analytics . The journal focuses on all technical and practical aspects of Database and Analytics. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Database and Analytics and establishing new collaborations in these areas
AI Lab at a Library? Why Artificial Intelligence Matters & What Libraries Can DoBohyun Kim
A talk given at the American Libraries Association Annual Conference, June 25, 2018 by Bohyun Kim, Chief Technology Officer, University of Rhode Island Libraries.
Taking on a New Leadership Challenge: Student-Focused Learning in Artificial ...Bohyun Kim
A conference talk given at the Internet Librarian International, London, UK. October 16, 2018 by Bohyun Kim, Chief Technology Officer & Associate Professor at the University of Rhode Island Libraries, USA.
CHRISTINA NGUYEN, University of Toronto Mississauga Library
In the world of digital literacies, liaison and instructional librarians are increasingly coming to terms with a new term: algorithmic literacy. No matter the liaison or instruction subjects – computer science, sociology, language and literature, chemistry, physics, economics, or other – students are grappling with assignments that demand a critical understanding, or even use, of algorithms. Over the course of this session, we’ll discuss the term ‘algorithmic literacies,’ explore how it fits into other digital literacies, and see why it as a curriculum might belong at your library. We’ll also look at some examples of practical pedagogical methods you can implement right away, depending on what types of AL lessons you want to teach, and who your patrons are. Lastly, we’ll discuss how librarians should view themselves as co-learners when working with AL skills. This session seeks to bring together participants from across the different libraries, with diverse missions/vision/mandates, to explore ways we can all benefit from teaching AL. If time permits, we may discuss how text and data librarians (functional specialists) can support the development of this curriculum.
This presentation was provided by Amanda Wheatley and Sandy Hervieux of McGill University, during the NISO Webinar "Discover and Online Search, Part Two: Personalized Content, Personal Data," which was held on June 19, 2019.
Can’t Pay, Won’t Pay, Don’t Pay: Delivering open science, a Digital Research...Carole Goble
Invited talk, PHIL_OS, March 30-31 2023, Exeter
https://opensciencestudies.eu/whither-open-science. Includes hidden slides.
FAIR and Open Science needs Digital Research Infrastructure, which is a federated system of systems and needs funding models that are fit for purpose
Culture change needed for paying for Open Science’s infrastructure and funding support for data driven research needs more reality and less rhetoric
Planning and Implementing a Digital Library ProjectJenn Riley
Riley, Jenn. "Planning and Implementing a Digital Library Project," Indiana LSTA Digital Project Planning Workshop, December 15, 2006, Peabody Public Library, Columbia City, IN and December 16, 2006, Porter County Public Library, Valpairaiso, IN.
Twist is an Open World Information Sharing Network which provides a platform to the users searching information on the same project that directly publishes the new updates for a desired category or group of categories to the people who had enrolled as that category for their Personal interest.
Objectives The objectives of the webinar are to:
• introduce AI in libraries
• describe the IDEA Institute on AI and its contribution to providing professional, innovative training in AI to library and other information professionals
• understand challenges and opportunities in implementing AI in libraries based on real-world experiences of the first cohort of Institute Fellows
• consider equity, diversity, inclusion and accessibility issues, and ethical questions, in AI implementation.
Speakers
Prof. Dr. Dania Bilal
Professor, School of Information Sciences at the University of Tennessee in Knoxville, TN.
Researcher, scholar and educator in Human Information Behavior, Human–Computer Interaction (HCI), User Experience and Design (UXD), Human–AI Interaction, and Information Science Theory.
Research focus is on user information interaction and behavior (children, teenagers and adults) with information systems, products and interfaces; and on user-centered design for better user engagement and experiences.
Principal Investigator and co-developer, IDEA Institute on Artificial Intelligence.
Clara M. Chu
Director and Mortenson Distinguished Professor, Mortenson Center for International Library Programs, University of Illinois at Urbana-Champaign, IL.
• Expert in developing appropriate and strategic solutions to deliver equitable and relevant library services in culturally diverse and dynamic libraries.
• Studies the information needs of culturally diverse communities in a globalized and technological society.
• Co-developer, IDEA Institute on Artificial Intelligence.
Artificial Intelligence AI in Libraries Training for Innovation WebinarSaid Ali Said
Objectives The objectives of the webinar are to:
• introduce AI in libraries
• describe the IDEA Institute on AI and its contribution to providing professional, innovative training in AI to library and other information professionals
• understand challenges and opportunities in implementing AI in libraries based on real-world experiences of the first cohort of Institute Fellows
• consider equity, diversity, inclusion and accessibility issues, and ethical questions, in AI implementation.
Speakers
Prof. Dr. Dania Bilal
Professor, School of Information Sciences at the University of Tennessee in Knoxville, TN.
Researcher, scholar and educator in Human Information Behavior, Human–Computer Interaction (HCI), User Experience and Design (UXD), Human–AI Interaction, and Information Science Theory.
Research focus is on user information interaction and behavior (children, teenagers and adults) with information systems, products and interfaces; and on user-centered design for better user engagement and experiences.
Principal Investigator and co-developer, IDEA Institute on Artificial Intelligence.
Clara M. Chu
Director and Mortenson Distinguished Professor, Mortenson Center for International Library Programs, University of Illinois at Urbana-Champaign, IL.
• Expert in developing appropriate and strategic solutions to deliver equitable and relevant library services in culturally diverse and dynamic libraries.
• Studies the information needs of culturally diverse communities in a globalized and technological society.
• Co-developer, IDEA Institute on Artificial Intelligence.
Target Audience
• Staff in any type of library and information center or information environment.
• Library and information science students, educators and researchers.
LInternational Journal of Artificial Intelligence in Education(IJAIE) ijfcst journal
International Journal of Artificial Intelligence in Education(IJAIE) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications Artificial Intelligence in Education. The Journal looks for significant contributions to all major fields of Artificial Intelligence in Education in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas Artificial Intelligence in Education.
Next Steps for IMLS's National Digital PlatformTrevor Owens
This keynote, at the Upper Midwest Digital Collections Conference, provides and update on the National Digital Platform and 20 projects supported to enhance it. The national digital platform is a way of thinking about and approaching the digital capability and capacity of libraries across the US. In this sense, it is the combination of software applications, social and technical infrastructure, and staff expertise that provide library content and services to all users in the US. As libraries increasingly use digital infrastructure to provide access to digital content and resources, there are more and more opportunities for collaboration around the tools and services that they use to meet their users’ needs. It is possible for each library in the country to leverage and benefit from the work of other libraries in shared digital services, systems, and infrastructure.
We need to bridge gaps between disparate pieces of the existing digital infrastructure, for increased efficiencies, cost savings, access, and services. To this end, IMLS is focusing on the national digital platform as an area of priority in the National Leadership Grants to Libraries program and the Laura Bush 21st Century Librarian program. We are eager to explore how this way of thinking and approaching infrastructure development can help states make the best use of the funds they receive through the Grants to States program. We’re also eager to work with other foundations and funders to maximize the impact of our federal investment
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The NFAIS Foresight Webinar - Artificial Intelligence: Weighing the Value for the Information Community, given by Bohyun Kim.
https://www.niso.org/events/2019/09/nfais-foresight-artificial-intelligence-weighing-value-information-community
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http://librarylinknj.org/MentorNJ/programs/networking-event-2018
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From Virtual Reality to Blockchain: Current and Emerging Tech TrendsBohyun Kim
Webinar given for the LibraryLinkNJ, The New Jersey Library Cooperative on May 8, 2018. http://librarylinknj.org/
CC-BY-NC 4.0
[https://creativecommons.org/licenses/by-nc/4.0/]
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While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
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- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
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Interdisciplinary Learning through Libraries on Artificial Intelligence
1. INTERDISCIPLINARY LEARNING THROUGH LIBRARIES ON
ARTIFICIAL INTELLIGENCE
Bohyun Kim, University of Rhode island
2018 Code4Lib Conference, Washington D.C., Feb. 13-16, 2018.
Goals for the AI Lab @ URI*
• “Learning-by-doing” in three
different AI Learning Zones: Beginner,
Learning, and Advanced.
• “Each zone provides opportunities
where projects on robotics, natural
language processing, smart cities, smart
homes, the Internet of Things, and big
data can be explored and designed;
and will consist of guided tutorials,
starting with beginner level.”
• Affiliated Faculty will also develop new
General Education courses in the Grand
Challenge and Integrative categories
around the AI Theme.**
• Boosts the URI’s Big Data Initiative***
• Contribute to the RI State’s plan to
develop a smart economy.
* Lindsay McKenzie, “A New Home for AI: The Library,”
Inside Higher Ed, January 17, 2018,
https://www.insidehighered.com/news/2018/01/17/rho
de-island-hopes-putting-artificial-intelligence-lab-library-
will-expand-ais-reach.
** “Guidelines for Submission of a Grand Challenge
Course,” University of Rhode Island, accessed January 22,
2018, https://web.uri.edu/general-
education/files/Grand_Challenge_Criteria.pdf
*** “URI Hiring Faculty, Investing in High Performance
Computing to Boost Research, Teaching with ‘Big Data,’”
URI Today, March 3, 2016,
https://today.uri.edu/news/uri-hiring-faculty-investing-in-
high-performance-computing-to-boost-research-teaching-
with-big-data/.
Disciplines & Courses on Campus
• Data science
• Computer science
• Engineering (Internet of Things, sensors, wearables, robots etc.)
• Statistics
• Oceanography
• Digital Forensics
• Philosophy
AI’s Impact on Libraries
• Boost the discovery relevancy?
• Cross-language search?
• Automated decision-making on collection development etc. … ?
• Improved library UX through speech recognition, computer vision,
digital assistants, personalized learning experience, and so on.
• Intelligent machines will be the new consumer of the library’s
information resources; They are likely to drive changes in the
traditional library services and operation.
• What does Information, Knowledge, Learning, Intelligence mean in
the era of Big Data and Artificial Intelligence (AI)?
AI Lab @ URI - Implementation in Progress
• Promotion through the e-mail listserv and Meet-Up events
• Purchase relevant ML software / hardware for the AI Lab
• Identify relevant AI datasets*
• Tutorials & Scenarios development for learning/teaching
• Convene the interested faculty for brainstorming
• Plan for ongoing support and continuing engagement
• Foster more AI-related projects
* Examples include “Datasets,” Kaggle, accessed January 22, 2018,
https://www.kaggle.com/datasets ; ImageNet, http://image-net.org/index ; “UCI Machine
Learning Repository: Data Sets,” UCI Center for Machine Learning and Intelligent Systems,
accessed January 22, 2018, https://archive.ics.uci.edu/ml/datasets.html.
Why Artificial Intelligence (AI) at a Library?
• AI is a field of technology that closely connects with topics and
concepts that libraries care a great deal and directly relate to.
: Information / Knowledge / Learning / Intelligence
• AI will have a far-reaching impact on our users.
• Demystify AI and promote wider discussion.
• Raise the awareness about AI developments and issues.
• A Library is a crossroads for learning and teaching in many
different disciplines; a central location on campus.
• High student demand for AI-related learning opportunities at URI
• Synergy with the makerspace & DataSpark at the URI libraries
• Planned focus on learning & teaching activities
• A hub for creative thinking, debates, and collaboration
• Grant from the Champlin Foundation in Dec. 2017.*
* “URI to Launch Artificial Intelligence Lab,” URI Today, December 20,
2017,https://today.uri.edu/news/uri-to-launch-artificial-intelligence-lab/.