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Hugo Rossi Lecture Series: Dr. Natasha Holmes

Dr. Natasha Holmes, Cornell University Abstract: Generative Al is transforming science education by reshaping how we teach, learn, and assess student understanding. While concerns about academic integrity and student writing are front and center, genAl also creates unprecedented opportunities for research. For the first time, education researchers can evaluate open-ended student responses at scale, enabling large, multi-institutional studies that capture the richness of student thinking beyond multiple-choice formats. I will present what I think it means to conduct research on STEM teaching and learning in the age of genAl. We will consider both opportunities and challenges: integrating genAl into classroom practice and responsibly analyzing student work at scale. Instead of trying to fight it, we'll consider how to work with it-harnessing genAl to advance science education research in ways that are both innovative and responsible. Campus Locations: Crocker Science Center (CSC). Room Name/Number: CSC 206. Contact Name: David Stroupe, Director of the Center for Science and Mathematics Education. Contact Email: david.stroupe@utah.edu. Campus Wide Event: Yes. Monday, January 12, 2026, 4:00 PM – 5:00 PM.

Special Interest Group: Community & Civil Society Engagement

For more information on the One-U Responsible AI Initiative (RAI) special interest group (SIG) on AI Community Engagement, visit our webpage at https://rai.utah.edu/opportunities/community-consortium/sig-community/ Meeting ID: 913 0980 6279 Passcode: 202315 An overview of the Community Engagement SIG  A slide deck introducing the SIG  . Alternate Location: https://utah.zoom.us/j/91309806279?pwd=VdhAf1Ee62dRa20EEKvpaNiIjaHpq9.1&from=addon. Room Name/Number: Meeting ID: 913 0980 6279 Passcode: 202315. Campus Wide Event: Yes. Tuesday, January 13, 2026, 12:00 PM – 1:00 PM.

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data! When: Thursdays | 12pm to 1pm Where: Digital Matters, J. Willard Marriott Library (Level 2) Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians Need help organizing, describing, or sharing your research data? , Wondering what FAIR data means? , Struggling to write a Data Management & Sharing Plan? What We Can Help With: Writing Data Management and Sharing Plans (DMSPs) , Organizing data and file structures for active projects , Finding and accessing research data , Curating and sharing your research data , Understanding funder and publisher data requirements , Making your data more FAIR (Findable, Accessible, Interoperable, Reusable), No appointment needed—just drop in! Can’t make it? Email us to schedule a consultation. Campus Locations: Marriott Library - J. Willard (M LIB). Room Name/Number: Level 2, Digital Matters. Contact Email: mlib-data@lists.utah.edu. Campus Wide Event: Yes. Thursday, January 15, 2026, 11:00 AM – 12:00 PM. For more info visit lib.utah.edu.

AI Office Hours

Questions or comments about AI at the U? Drop into AI office hours University of Utah faculty, staff, and students with questions or suggestions about the use of artificial intelligence (AI) at the U are encouraged to attend virtual office hours held by the AI leadership team every other Friday from noon to 1 pm. Join the meeting now Meeting ID: 237 174 996 299 Passcode: Mm9L6hw7 These meetings give the entire campus community informal access to the U’s top AI research and policy experts. Attendees can use the time to brainstorm use cases, discuss best practices, understand what’s allowed, find collaborators, suggest new tools, and more. Office hours are one way the U is working to strengthen AI literacy—the most relevant discussions will be shared with the campus community, including via an FAQ webpage. Feedback may also shape future AI strategy and tool procurement. Each meeting is led by at least two members of the AI leadership team, which includes research, AI, IT, and compliance officials from acro… Event Categories: Info Sessions. Campus Locations: Microsoft Teams. Campus Wide Event: Yes. Friday, January 16, 2026, 12:00 PM – 1:00 PM. For more info visit teams.microsoft.com.

Martin Luther King, Jr. Day

University Observed Holidays Campus Wide Event: Yes. Monday, January 19, 2026.

Applied AI for Entrepreneurs Summit

We welcome students, alumni, faculty, staff, and interested community members to attend the Applied AI for Entrepreneurs Summit at the David Eccles School of Business at the University of Utah, hosted by the Lassonde Entrepreneur Institute. If you are a current or aspiring entrepreneur, operator, or investor in Utah, or if you’re exploring paths to use AI in your existing business, the Applied AI for Entrepreneurs Summit is for you. Register to attend this one-day event and hear from local and national experts in AI and entrepreneurship in keynote and panel conversations. Learn the basics of how entrepreneurs are approaching AI and explore how you might utilize this new and powerful technology. Meet fellow students, alumni, faculty, and community members to network and build community. Registration is free and includes meals. Campus Locations: Eccles Business Building - Spencer Fox (SFEBB). Campus Wide Event: Yes. Thursday, January 22, 2026, 9:00 AM – 2:00 PM. For more info visit lassonde.utah.edu.

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data! When: Thursdays | 12pm to 1pm Where: Digital Matters, J. Willard Marriott Library (Level 2) Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians Need help organizing, describing, or sharing your research data? , Wondering what FAIR data means? , Struggling to write a Data Management & Sharing Plan? What We Can Help With: Writing Data Management and Sharing Plans (DMSPs) , Organizing data and file structures for active projects , Finding and accessing research data , Curating and sharing your research data , Understanding funder and publisher data requirements , Making your data more FAIR (Findable, Accessible, Interoperable, Reusable), No appointment needed—just drop in! Can’t make it? Email us to schedule a consultation. Campus Locations: Marriott Library - J. Willard (M LIB). Room Name/Number: Level 2, Digital Matters. Contact Email: mlib-data@lists.utah.edu. Campus Wide Event: Yes. Thursday, January 22, 2026, 11:00 AM – 12:00 PM. For more info visit lib.utah.edu.

ChatGPT Essentials Virtual Training

The University of Utah is partnering with OpenAI to offer a campus-wide ChatGPT essentials virtual training at noon on Friday, January 23. Click to register. Request the tool via the University IT Service Catalog , Read about the tool's launch and general resources , Watch for the training recording on ai.utah.edu. Campus Locations: Zoom. Campus Wide Event: Yes. Friday, January 23, 2026, 12:00 PM – 1:00 PM. For more info visit openai.zoom.us.

Hugo Rossi Lecture Series: Dr. Victor Lee

Dr. Victor Lee, Stanford University Abstract: Al is driving schools and disciplines to re-examine not only how they teach, but what they teach so that Al is represented as a topic in and of itself. One way this has been encouraged is through the promotion of Al literacy—a contagious shorthand term for understandings about the uses, mechanisms, and areas of concern we should have as individuals and societally with respect to Al that is less technical than would be expected of a professional software engineer. In this talk, I discuss specific strategies my group has taken with respect to promoting Al literacy with an eye toward STEM disciplines - specifically with examples from projects such as Al Quests and CRAFT (Classroom-Ready Resources about Al for Teaching). A key argument is that we should draw from the prior premises and processes developed in the learning sciences, although when we do focus on moving innovations into practice, there are pragmatic compromises we must still make. Campus Locations: Stewart Building - William (ST). Room Name/Number: E2125. Contact Name: David Stroupe, Director of the Center for Science and Mathematics Education. Contact Email: david.stroupe@utah.edu. Campus Wide Event: Yes. Friday, January 23, 2026, 1:00 PM – 2:00 PM.

Data Science & AI Lecture Series

Utah Center for Data Science's lecture series covers technical developments in data science and AI, as well as applications to different domains, industry, and policy. It is intended for a wide audience. Everyone is welcome to attend. Talks will be held every other Friday in WEB L112 and streamed via Zoom: https://utah.zoom.us/j/85983626630 Visit the Utah Center for Data Science for the latest details, including confirmed dates/times, speakers, and topics. Spring 2026 Seminar Dates January 9: One-U Responsible AI Initiative faculty fellow Marina Kogan January 23 February 6 February 27 March 20 April 3 April 17. Event Categories: Seminars. Campus Locations: Language & Communication Bldg (LNCO). Room Name/Number: WEB L112. Campus Wide Event: Yes. Friday, January 23, 2026, 1:30 PM – 2:30 PM. For more info visit datascience.utah.edu.

Center for Science and Mathematics Education Exchange: AI in Education

The Center For Science and Mathematics Education (CSME) presents its 2025–2026 Exchange series, which will continue to explore the evolving role of AI in education. Each session will be held from noon to 1 pm in CSC 206.  The series is an opportunity for colleagues in the College of Science and the College of Education to talk about ongoing issues of teaching and learning. It's not limited to STEM scholars—everyone is welcome! Please mark your calendars for the following dates: October 27, 2025—Chenglu Li (College of Education): GenAI 101—Potential tools and time for tinkering , November 17, 2025—Michael Gruenwald (College of Science): ChatGPT and teaching , December 8, 2025—TBD: Assessments and AI , January 26, 2026—Yao Mao (College of Science): Students’ use of AI during class , February 23, 2026—Tuba Yilmaz (College of Education): AI and multilingual learners , March 23, 2026—Nancy Songer (College of Education): National Academy Report on AI and data science in STEM classrooms , April 27, 2026—TBD: Online… Event Categories: Seminars. Lectures. Campus Locations: Crocker Science Center (CSC). Room Name/Number: CSC 206. Contact Name: David Stroupe, Director of the Center for Science and Mathematics Education. Contact Email: david.stroupe@utah.edu. Campus Wide Event: Yes. Monday, January 26, 2026, 12:00 PM – 1:00 PM.

AI Community of Practice Meeting

Meeting for the AI Community of Practice,   _, Microsoft Teams  Join the meeting now, Meeting ID: 256 264 709 089, Passcode: iY4Ymn. Campus Locations: Microsoft Teams. Campus Wide Event: Yes. Tuesday, January 27, 2026, 11:00 AM – 12:00 PM.

Huntsman Cancer Institute Hackathon

The Huntsman Cancer Institute (HCI) will be hosting its first-ever Hackathon on January 29–30, 2026, and have six great project proposals from our research community. A hackathon is a 1–2 day collaborative event where participants come together to tackle a focused challenge, develop creative solutions, and build useful tools or approaches. Participation is open to all members of the U of U data science community, including faculty, scientists, trainees, staff, and students. Hackathon Theme, 🎯 Leveraging Locally Implemented Large Language Models (LLMs) to Advance Cancer Research, Projects should explore innovative ways to use locally deployed LLMs to support cancer research, clinical data analysis, visualization, automation, or infrastructure. Team Structure & Format, Hackathon teams are organized around specific projects , Each team will be overseen by a Team Leader (the project submitter) , Participants will rank project options from most to least interesting , Team Leaders are responsible for… Campus Locations: HCI Cancer Research South - Huntsman (HCI IV). Alternate Location: Research South Auditorium, Huntsman Cancer Institute. Campus Wide Event: Yes. Thursday, January 29, 2026 – Friday, January 30, 2026. For more info visit uofutah.sharepoint.com.

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data! When: Thursdays | 12pm to 1pm Where: Digital Matters, J. Willard Marriott Library (Level 2) Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians Need help organizing, describing, or sharing your research data? , Wondering what FAIR data means? , Struggling to write a Data Management & Sharing Plan? What We Can Help With: Writing Data Management and Sharing Plans (DMSPs) , Organizing data and file structures for active projects , Finding and accessing research data , Curating and sharing your research data , Understanding funder and publisher data requirements , Making your data more FAIR (Findable, Accessible, Interoperable, Reusable), No appointment needed—just drop in! Can’t make it? Email us to schedule a consultation. Campus Locations: Marriott Library - J. Willard (M LIB). Room Name/Number: Level 2, Digital Matters. Contact Email: mlib-data@lists.utah.edu. Campus Wide Event: Yes. Thursday, January 29, 2026, 11:00 AM – 12:00 PM. For more info visit lib.utah.edu.

AI Office Hours

Questions or comments about AI at the U? Drop into AI office hours University of Utah faculty, staff, and students with questions or suggestions about the use of artificial intelligence (AI) at the U are encouraged to attend virtual office hours held by the AI leadership team every other Friday from noon to 1 pm. Join the meeting now Meeting ID: 237 174 996 299 Passcode: Mm9L6hw7 These meetings give the entire campus community informal access to the U’s top AI research and policy experts. Attendees can use the time to brainstorm use cases, discuss best practices, understand what’s allowed, find collaborators, suggest new tools, and more. Office hours are one way the U is working to strengthen AI literacy—the most relevant discussions will be shared with the campus community, including via an FAQ webpage. Feedback may also shape future AI strategy and tool procurement. Each meeting is led by at least two members of the AI leadership team, which includes research, AI, IT, and compliance officials from acro… Event Categories: Info Sessions. Campus Locations: Microsoft Teams. Campus Wide Event: Yes. Friday, January 30, 2026, 12:00 PM – 1:00 PM. For more info visit teams.microsoft.com.

Registration Deadline: Data CommUnication Challenge

Register by February 1 to participate in the Data CommUnication Challenge, celebrating the close of Love Data Week (Feb. 9–13)!  This challenge is a chance for undergraduate and graduate students in any discipline to show how data can be turned into stories that inform, engage, and inspire. Data need not be purely academic; we're looking for students to engage with any dataset that they find interesting, whether original or previously published.  We're also here to support you as you prepare submissions! We encourage anyone interested to stop by our weekly Data Drop-in Hours on Thursdays from 12pm to 1pm in the Marriott Library (room 1751) if they need help finding or organizing their data. We can also advise on how to approach the challenge, whether that's helping to find data, picking out the best software, or finding sources of inspiration.  To participate in the challenge or attend the awards luncheon, please be sure to register by February 1. Registering for the challenge also counts as your… Campus Locations: Marriott Library - J. Willard (M LIB). Campus Wide Event: Yes. Sunday, February 1, 2026.

Special Interest Group: AI Policy and Frameworks

This is the new recurring meeting for the Responsible AI Special Interest Group (SIG) on policy and frameworks. This meeting will occur on Zoom at from 12:00-1:00pm MT on the first Wednesday of each month.  November 5, 2025 December 3, 2025 January 7, 2026 February 4, 2026 March 4, 2026 April 1, 2026 May 6, 2026 June 3, 2026 July 1, 2026 August 5, 2026 September 2, 2026 October 7, 2026 November 4, 2026 December 2, 2026    ​________________________________ Penny Atkins is inviting you to a scheduled Zoom meeting. Join Zoom Meeting https://utah.zoom.us/j/85437186979?pwd=qhGf1WlwS4uVJVn6JaKYpQxbBVOvdt.1&from=addon Meeting ID: 854 3718 6979 Passcode: 974947. Room Name/Number: Zoom. Campus Wide Event: Yes. Wednesday, February 4, 2026, 12:00 PM – 1:00 PM.

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data! When: Thursdays | 12pm to 1pm Where: Digital Matters, J. Willard Marriott Library (Level 2) Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians Need help organizing, describing, or sharing your research data? , Wondering what FAIR data means? , Struggling to write a Data Management & Sharing Plan? What We Can Help With: Writing Data Management and Sharing Plans (DMSPs) , Organizing data and file structures for active projects , Finding and accessing research data , Curating and sharing your research data , Understanding funder and publisher data requirements , Making your data more FAIR (Findable, Accessible, Interoperable, Reusable), No appointment needed—just drop in! Can’t make it? Email us to schedule a consultation. Campus Locations: Marriott Library - J. Willard (M LIB). Room Name/Number: Level 2, Digital Matters. Contact Email: mlib-data@lists.utah.edu. Campus Wide Event: Yes. Thursday, February 5, 2026, 11:00 AM – 12:00 PM. For more info visit lib.utah.edu.

Tricks, Tips, and Ideas for Implementing AI into Your Teaching

Register here! Campus Locations: Zoom. Campus Wide Event: Yes. Thursday, February 5, 2026, 11:00 AM – 12:00 PM.

Submission Deadline: Data CommUnication Challenge

Submit your best work to the Data CommUnication Challenge by February 6 for the chance to showcase your skills, network with judges, and celebrate with your peers of lunch and awards! This challenge is a chance for undergraduate and graduate students in any discipline to show how data can be turned into stories that inform, engage, and inspire. Data need not be purely academic; we're looking for students to engage with any dataset that they find interesting, whether original or previously published.  Find participation details and instructions here: https://lib.utah.edu/apiary/events  Please feel free to reach out to us at mlib-rdm@utah.edu with any questions. Campus Locations: Marriott Library - J. Willard (M LIB). Campus Wide Event: Yes. Friday, February 6, 2026.

Special Interest Group: AI Infrastructure

For more information on the One-U Responsible AI Initiative (RAI) special interest group (SIG) on AI Infrastructure, visit our webpage at rai.utah.edu/sig-ai-infrastructure/. Join Zoom Meeting https://utah.zoom.us/j/96482452441 Meeting ID: 964 8245 2441 Passcode: 812113. Campus Wide Event: Yes. Friday, February 6, 2026, 9:00 AM – 10:00 AM. For more info visit utah.zoom.us.

Data Science & AI Lecture Series

Utah Center for Data Science's lecture series covers technical developments in data science and AI, as well as applications to different domains, industry, and policy. It is intended for a wide audience. Everyone is welcome to attend. Talks will be held every other Friday in WEB L112 and streamed via Zoom: https://utah.zoom.us/j/85983626630 Visit the Utah Center for Data Science for the latest details, including confirmed dates/times, speakers, and topics. Spring 2026 Seminar Dates January 9: One-U Responsible AI Initiative faculty fellow Marina Kogan January 23 February 6 February 27 March 20 April 3 April 17. Event Categories: Seminars. Campus Locations: Language & Communication Bldg (LNCO). Room Name/Number: WEB L112. Campus Wide Event: Yes. Friday, February 6, 2026, 1:30 PM – 2:30 PM. For more info visit datascience.utah.edu.

Forum: AI at the U

The University of Utah community is invited to attend a virtual AI Forum at noon on Wednesday, February 11, to hear updates from the AI Office and ask questions about AI use at the U. Registration is required—RSVP for the Zoom webinar.  Forums typically follow this format:  Announcements  , Upcoming events  , Tools and technologies  , Policy/regulation updates , Education and outreach  , Q&A  These forums are typically held every other month. AI Office Hours are held every other week. The office also holds virtual monthly meetings, called AI Community of Practice, featuring short presentations from university researchers using AI. View all upcoming events.  If you have an urgent question not covered by the FAQ page or answered elsewhere on ai.utah.edu, please submit it via the support form (university login required). Campus Locations: Zoom. Campus Wide Event: Yes. Wednesday, February 11, 2026, 12:00 PM – 1:00 PM.

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data! When: Thursdays | 12pm to 1pm Where: Digital Matters, J. Willard Marriott Library (Level 2) Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians Need help organizing, describing, or sharing your research data? , Wondering what FAIR data means? , Struggling to write a Data Management & Sharing Plan? What We Can Help With: Writing Data Management and Sharing Plans (DMSPs) , Organizing data and file structures for active projects , Finding and accessing research data , Curating and sharing your research data , Understanding funder and publisher data requirements , Making your data more FAIR (Findable, Accessible, Interoperable, Reusable), No appointment needed—just drop in! Can’t make it? Email us to schedule a consultation. Campus Locations: Marriott Library - J. Willard (M LIB). Room Name/Number: Level 2, Digital Matters. Contact Email: mlib-data@lists.utah.edu. Campus Wide Event: Yes. Thursday, February 12, 2026, 11:00 AM – 12:00 PM. For more info visit lib.utah.edu.

Data CommUnication Challenge Showcase

Join us for the Data CommUnication Challenge showcase and judging! 10 AM to 12 PM Awards lunch directly following the showcase. 12 PM You do not need to register to attend the public showcase. The awards luncheon is open to University of Utah students, faculty, and staff. Please feel free to reach out to us at mlib-rdm@utah.edu with any questions. Campus Locations: Gould Auditorium (M LIB). Campus Wide Event: Yes. Friday, February 13, 2026, 10:00 AM – 12:00 PM.

AI Office Hours

Questions or comments about AI at the U? Drop into AI office hours University of Utah faculty, staff, and students with questions or suggestions about the use of artificial intelligence (AI) at the U are encouraged to attend virtual office hours held by the AI leadership team every other Friday from noon to 1 pm. Join the meeting now Meeting ID: 237 174 996 299 Passcode: Mm9L6hw7 These meetings give the entire campus community informal access to the U’s top AI research and policy experts. Attendees can use the time to brainstorm use cases, discuss best practices, understand what’s allowed, find collaborators, suggest new tools, and more. Office hours are one way the U is working to strengthen AI literacy—the most relevant discussions will be shared with the campus community, including via an FAQ webpage. Feedback may also shape future AI strategy and tool procurement. Each meeting is led by at least two members of the AI leadership team, which includes research, AI, IT, and compliance officials from acro… Event Categories: Info Sessions. Campus Locations: Microsoft Teams. Campus Wide Event: Yes. Friday, February 13, 2026, 12:00 PM – 1:00 PM. For more info visit teams.microsoft.com.

Presidents' Day

University Observed Holidays Campus Wide Event: Yes. Monday, February 16, 2026.

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data! When: Thursdays | 12pm to 1pm Where: Digital Matters, J. Willard Marriott Library (Level 2) Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians Need help organizing, describing, or sharing your research data? , Wondering what FAIR data means? , Struggling to write a Data Management & Sharing Plan? What We Can Help With: Writing Data Management and Sharing Plans (DMSPs) , Organizing data and file structures for active projects , Finding and accessing research data , Curating and sharing your research data , Understanding funder and publisher data requirements , Making your data more FAIR (Findable, Accessible, Interoperable, Reusable), No appointment needed—just drop in! Can’t make it? Email us to schedule a consultation. Campus Locations: Marriott Library - J. Willard (M LIB). Room Name/Number: Level 2, Digital Matters. Contact Email: mlib-data@lists.utah.edu. Campus Wide Event: Yes. Thursday, February 19, 2026, 11:00 AM – 12:00 PM. For more info visit lib.utah.edu.

Center for Science and Mathematics Education Exchange: AI in Education

The Center For Science and Mathematics Education (CSME) presents its 2025–2026 Exchange series, which will continue to explore the evolving role of AI in education. Each session will be held from noon to 1 pm in CSC 206.  The series is an opportunity for colleagues in the College of Science and the College of Education to talk about ongoing issues of teaching and learning. It's not limited to STEM scholars—everyone is welcome! Please mark your calendars for the following dates: October 27, 2025—Chenglu Li (College of Education): GenAI 101—Potential tools and time for tinkering , November 17, 2025—Michael Gruenwald (College of Science): ChatGPT and teaching , December 8, 2025—TBD: Assessments and AI , January 26, 2026—Yao Mao (College of Science): Students’ use of AI during class , February 23, 2026—Tuba Yilmaz (College of Education): AI and multilingual learners , March 23, 2026—Nancy Songer (College of Education): National Academy Report on AI and data science in STEM classrooms , April 27, 2026—TBD: Online… Event Categories: Seminars. Lectures. Campus Locations: Crocker Science Center (CSC). Room Name/Number: CSC 206. Contact Name: David Stroupe, Director of the Center for Science and Mathematics Education. Contact Email: david.stroupe@utah.edu. Campus Wide Event: Yes. Monday, February 23, 2026, 12:00 PM – 1:00 PM.

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data! When: Thursdays | 12pm to 1pm Where: Digital Matters, J. Willard Marriott Library (Level 2) Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians Need help organizing, describing, or sharing your research data? , Wondering what FAIR data means? , Struggling to write a Data Management & Sharing Plan? What We Can Help With: Writing Data Management and Sharing Plans (DMSPs) , Organizing data and file structures for active projects , Finding and accessing research data , Curating and sharing your research data , Understanding funder and publisher data requirements , Making your data more FAIR (Findable, Accessible, Interoperable, Reusable), No appointment needed—just drop in! Can’t make it? Email us to schedule a consultation. Campus Locations: Marriott Library - J. Willard (M LIB). Room Name/Number: Level 2, Digital Matters. Contact Email: mlib-data@lists.utah.edu. Campus Wide Event: Yes. Thursday, February 26, 2026, 11:00 AM – 12:00 PM. For more info visit lib.utah.edu.

AI Office Hours

Questions or comments about AI at the U? Drop into AI office hours University of Utah faculty, staff, and students with questions or suggestions about the use of artificial intelligence (AI) at the U are encouraged to attend virtual office hours held by the AI leadership team every other Friday from noon to 1 pm. Join the meeting now Meeting ID: 237 174 996 299 Passcode: Mm9L6hw7 These meetings give the entire campus community informal access to the U’s top AI research and policy experts. Attendees can use the time to brainstorm use cases, discuss best practices, understand what’s allowed, find collaborators, suggest new tools, and more. Office hours are one way the U is working to strengthen AI literacy—the most relevant discussions will be shared with the campus community, including via an FAQ webpage. Feedback may also shape future AI strategy and tool procurement. Each meeting is led by at least two members of the AI leadership team, which includes research, AI, IT, and compliance officials from acro… Event Categories: Info Sessions. Campus Locations: Microsoft Teams. Campus Wide Event: Yes. Friday, February 27, 2026, 12:00 PM – 1:00 PM. For more info visit teams.microsoft.com.

Special Interest Group: AI Policy and Frameworks

This is the new recurring meeting for the Responsible AI Special Interest Group (SIG) on policy and frameworks. This meeting will occur on Zoom at from 12:00-1:00pm MT on the first Wednesday of each month.  November 5, 2025 December 3, 2025 January 7, 2026 February 4, 2026 March 4, 2026 April 1, 2026 May 6, 2026 June 3, 2026 July 1, 2026 August 5, 2026 September 2, 2026 October 7, 2026 November 4, 2026 December 2, 2026    ​________________________________ Penny Atkins is inviting you to a scheduled Zoom meeting. Join Zoom Meeting https://utah.zoom.us/j/85437186979?pwd=qhGf1WlwS4uVJVn6JaKYpQxbBVOvdt.1&from=addon Meeting ID: 854 3718 6979 Passcode: 974947. Room Name/Number: Zoom. Campus Wide Event: Yes. Wednesday, March 4, 2026, 12:00 PM – 1:00 PM.

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data! When: Thursdays | 12pm to 1pm Where: Digital Matters, J. Willard Marriott Library (Level 2) Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians Need help organizing, describing, or sharing your research data? , Wondering what FAIR data means? , Struggling to write a Data Management & Sharing Plan? What We Can Help With: Writing Data Management and Sharing Plans (DMSPs) , Organizing data and file structures for active projects , Finding and accessing research data , Curating and sharing your research data , Understanding funder and publisher data requirements , Making your data more FAIR (Findable, Accessible, Interoperable, Reusable), No appointment needed—just drop in! Can’t make it? Email us to schedule a consultation. Campus Locations: Marriott Library - J. Willard (M LIB). Room Name/Number: Level 2, Digital Matters. Contact Email: mlib-data@lists.utah.edu. Campus Wide Event: Yes. Thursday, March 5, 2026, 11:00 AM – 12:00 PM. For more info visit lib.utah.edu.

Special Interest Group: AI Infrastructure

For more information on the One-U Responsible AI Initiative (RAI) special interest group (SIG) on AI Infrastructure, visit our webpage at rai.utah.edu/sig-ai-infrastructure/. Join Zoom Meeting https://utah.zoom.us/j/96482452441 Meeting ID: 964 8245 2441 Passcode: 812113. Campus Wide Event: Yes. Friday, March 6, 2026, 9:00 AM – 10:00 AM. For more info visit utah.zoom.us.

Special Interest Group: Community & Civil Society Engagement

For more information on the One-U Responsible AI Initiative (RAI) special interest group (SIG) on AI Community Engagement, visit our webpage at https://rai.utah.edu/opportunities/community-consortium/sig-community/ Meeting ID: 913 0980 6279 Passcode: 202315 An overview of the Community Engagement SIG  A slide deck introducing the SIG  . Alternate Location: https://utah.zoom.us/j/91309806279?pwd=VdhAf1Ee62dRa20EEKvpaNiIjaHpq9.1&from=addon. Room Name/Number: Meeting ID: 913 0980 6279 Passcode: 202315. Campus Wide Event: Yes. Tuesday, March 10, 2026, 12:00 PM – 1:00 PM.

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data! When: Thursdays | 12pm to 1pm Where: Digital Matters, J. Willard Marriott Library (Level 2) Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians Need help organizing, describing, or sharing your research data? , Wondering what FAIR data means? , Struggling to write a Data Management & Sharing Plan? What We Can Help With: Writing Data Management and Sharing Plans (DMSPs) , Organizing data and file structures for active projects , Finding and accessing research data , Curating and sharing your research data , Understanding funder and publisher data requirements , Making your data more FAIR (Findable, Accessible, Interoperable, Reusable), No appointment needed—just drop in! Can’t make it? Email us to schedule a consultation. Campus Locations: Marriott Library - J. Willard (M LIB). Room Name/Number: Level 2, Digital Matters. Contact Email: mlib-data@lists.utah.edu. Campus Wide Event: Yes. Thursday, March 12, 2026, 11:00 AM – 12:00 PM. For more info visit lib.utah.edu.

AI Office Hours

Questions or comments about AI at the U? Drop into AI office hours University of Utah faculty, staff, and students with questions or suggestions about the use of artificial intelligence (AI) at the U are encouraged to attend virtual office hours held by the AI leadership team every other Friday from noon to 1 pm. Join the meeting now Meeting ID: 237 174 996 299 Passcode: Mm9L6hw7 These meetings give the entire campus community informal access to the U’s top AI research and policy experts. Attendees can use the time to brainstorm use cases, discuss best practices, understand what’s allowed, find collaborators, suggest new tools, and more. Office hours are one way the U is working to strengthen AI literacy—the most relevant discussions will be shared with the campus community, including via an FAQ webpage. Feedback may also shape future AI strategy and tool procurement. Each meeting is led by at least two members of the AI leadership team, which includes research, AI, IT, and compliance officials from acro… Event Categories: Info Sessions. Campus Locations: Microsoft Teams. Campus Wide Event: Yes. Friday, March 13, 2026, 12:00 PM – 1:00 PM. For more info visit teams.microsoft.com.

Tech Tips Tuesday: ChatGPT Edu Quick Start

Every other week features Canvas, Accessibility, AI, or Adobe related tools. Check out the schedule and drop in for the topics that inspire you! Register here. Campus Wide Event: Yes. Tuesday, March 17, 2026, 12:00 PM – 1:00 PM.

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data! When: Thursdays | 12pm to 1pm Where: Digital Matters, J. Willard Marriott Library (Level 2) Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians Need help organizing, describing, or sharing your research data? , Wondering what FAIR data means? , Struggling to write a Data Management & Sharing Plan? What We Can Help With: Writing Data Management and Sharing Plans (DMSPs) , Organizing data and file structures for active projects , Finding and accessing research data , Curating and sharing your research data , Understanding funder and publisher data requirements , Making your data more FAIR (Findable, Accessible, Interoperable, Reusable), No appointment needed—just drop in! Can’t make it? Email us to schedule a consultation. Campus Locations: Marriott Library - J. Willard (M LIB). Room Name/Number: Level 2, Digital Matters. Contact Email: mlib-data@lists.utah.edu. Campus Wide Event: Yes. Thursday, March 19, 2026, 11:00 AM – 12:00 PM. For more info visit lib.utah.edu.

Center for Science and Mathematics Education Exchange: AI in Education

The Center For Science and Mathematics Education (CSME) presents its 2025–2026 Exchange series, which will continue to explore the evolving role of AI in education. Each session will be held from noon to 1 pm in CSC 206.  The series is an opportunity for colleagues in the College of Science and the College of Education to talk about ongoing issues of teaching and learning. It's not limited to STEM scholars—everyone is welcome! Please mark your calendars for the following dates: October 27, 2025—Chenglu Li (College of Education): GenAI 101—Potential tools and time for tinkering , November 17, 2025—Michael Gruenwald (College of Science): ChatGPT and teaching , December 8, 2025—TBD: Assessments and AI , January 26, 2026—Yao Mao (College of Science): Students’ use of AI during class , February 23, 2026—Tuba Yilmaz (College of Education): AI and multilingual learners , March 23, 2026—Nancy Songer (College of Education): National Academy Report on AI and data science in STEM classrooms , April 27, 2026—TBD: Online… Event Categories: Seminars. Lectures. Campus Locations: Crocker Science Center (CSC). Room Name/Number: CSC 206. Contact Name: David Stroupe, Director of the Center for Science and Mathematics Education. Contact Email: david.stroupe@utah.edu. Campus Wide Event: Yes. Monday, March 23, 2026, 12:00 PM – 1:00 PM.

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data! When: Thursdays | 12pm to 1pm Where: Digital Matters, J. Willard Marriott Library (Level 2) Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians Need help organizing, describing, or sharing your research data? , Wondering what FAIR data means? , Struggling to write a Data Management & Sharing Plan? What We Can Help With: Writing Data Management and Sharing Plans (DMSPs) , Organizing data and file structures for active projects , Finding and accessing research data , Curating and sharing your research data , Understanding funder and publisher data requirements , Making your data more FAIR (Findable, Accessible, Interoperable, Reusable), No appointment needed—just drop in! Can’t make it? Email us to schedule a consultation. Campus Locations: Marriott Library - J. Willard (M LIB). Room Name/Number: Level 2, Digital Matters. Contact Email: mlib-data@lists.utah.edu. Campus Wide Event: Yes. Thursday, March 26, 2026, 11:00 AM – 12:00 PM. For more info visit lib.utah.edu.

AI Office Hours

Questions or comments about AI at the U? Drop into AI office hours University of Utah faculty, staff, and students with questions or suggestions about the use of artificial intelligence (AI) at the U are encouraged to attend virtual office hours held by the AI leadership team every other Friday from noon to 1 pm. Join the meeting now Meeting ID: 237 174 996 299 Passcode: Mm9L6hw7 These meetings give the entire campus community informal access to the U’s top AI research and policy experts. Attendees can use the time to brainstorm use cases, discuss best practices, understand what’s allowed, find collaborators, suggest new tools, and more. Office hours are one way the U is working to strengthen AI literacy—the most relevant discussions will be shared with the campus community, including via an FAQ webpage. Feedback may also shape future AI strategy and tool procurement. Each meeting is led by at least two members of the AI leadership team, which includes research, AI, IT, and compliance officials from acro… Event Categories: Info Sessions. Campus Locations: Microsoft Teams. Campus Wide Event: Yes. Friday, March 27, 2026, 12:00 PM – 1:00 PM. For more info visit teams.microsoft.com.

Special Interest Group: AI Policy and Frameworks

This is the new recurring meeting for the Responsible AI Special Interest Group (SIG) on policy and frameworks. This meeting will occur on Zoom at from 12:00-1:00pm MT on the first Wednesday of each month.  November 5, 2025 December 3, 2025 January 7, 2026 February 4, 2026 March 4, 2026 April 1, 2026 May 6, 2026 June 3, 2026 July 1, 2026 August 5, 2026 September 2, 2026 October 7, 2026 November 4, 2026 December 2, 2026    ​________________________________ Penny Atkins is inviting you to a scheduled Zoom meeting. Join Zoom Meeting https://utah.zoom.us/j/85437186979?pwd=qhGf1WlwS4uVJVn6JaKYpQxbBVOvdt.1&from=addon Meeting ID: 854 3718 6979 Passcode: 974947. Room Name/Number: Zoom. Campus Wide Event: Yes. Wednesday, April 1, 2026, 12:00 PM – 1:00 PM.

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data! When: Thursdays | 12pm to 1pm Where: Digital Matters, J. Willard Marriott Library (Level 2) Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians Need help organizing, describing, or sharing your research data? , Wondering what FAIR data means? , Struggling to write a Data Management & Sharing Plan? What We Can Help With: Writing Data Management and Sharing Plans (DMSPs) , Organizing data and file structures for active projects , Finding and accessing research data , Curating and sharing your research data , Understanding funder and publisher data requirements , Making your data more FAIR (Findable, Accessible, Interoperable, Reusable), No appointment needed—just drop in! Can’t make it? Email us to schedule a consultation. Campus Locations: Marriott Library - J. Willard (M LIB). Room Name/Number: Level 2, Digital Matters. Contact Email: mlib-data@lists.utah.edu. Campus Wide Event: Yes. Thursday, April 2, 2026, 11:00 AM – 12:00 PM. For more info visit lib.utah.edu.

Special Interest Group: AI Infrastructure

For more information on the One-U Responsible AI Initiative (RAI) special interest group (SIG) on AI Infrastructure, visit our webpage at rai.utah.edu/sig-ai-infrastructure/. Join Zoom Meeting https://utah.zoom.us/j/96482452441 Meeting ID: 964 8245 2441 Passcode: 812113. Campus Wide Event: Yes. Friday, April 3, 2026, 9:00 AM – 10:00 AM. For more info visit utah.zoom.us.

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data! When: Thursdays | 12pm to 1pm Where: Digital Matters, J. Willard Marriott Library (Level 2) Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians Need help organizing, describing, or sharing your research data? , Wondering what FAIR data means? , Struggling to write a Data Management & Sharing Plan? What We Can Help With: Writing Data Management and Sharing Plans (DMSPs) , Organizing data and file structures for active projects , Finding and accessing research data , Curating and sharing your research data , Understanding funder and publisher data requirements , Making your data more FAIR (Findable, Accessible, Interoperable, Reusable), No appointment needed—just drop in! Can’t make it? Email us to schedule a consultation. Campus Locations: Marriott Library - J. Willard (M LIB). Room Name/Number: Level 2, Digital Matters. Contact Email: mlib-data@lists.utah.edu. Campus Wide Event: Yes. Thursday, April 9, 2026, 11:00 AM – 12:00 PM. For more info visit lib.utah.edu.