Join a faculty development program to support instructors across campus with navigating/integrating AI in their courses. We're inviting interested faculty to participate in the grant project called Fostering Writing-to-Learn Skills with Critical AI Literacy: A Faculty Development and Student Support Program (funded through the AI3 Institute).

Time commitment and completion requirements :

  • Attend four sessions and a final symposium on the following dates/times:

    • Friday, September 12 from 11am - 12:30pm over Zoom

    • Friday, September 26 from 11am - 12:30pm over Zoom

    • Friday, October 10 from 11am - 12:30pm over Zoom

    • Friday, October 24 from 11am - 12:30pm over Zoom

    • Friday, November 14 from 10am - 1pm in Wang 201 - please note that this is an in person session only

  • Engage with online materials in Brightspace prior to each of the sessions (mainly to update a syllabus, assignment, or teaching strategy that you can share and discuss at the workshop)

Contact: Shyam Sharma, Christine Fena, and Rose Tirotta-Esposito with questions.

https://docs.google.com/document/d/1b51tvfK0HSOkCW7cwYq2nyyeeHtvBZYC7_XHv7Av8wQ/edit?tab=t.0
Zoom Like a Pro! Unlock Whiteboard, Polls, AI Companion, and more to supercharge student participation. This hands-on workshop explores innovative ways to use Zoom's built-in tools to enhance active learning activities in your classes. Learn how to utilize the Whiteboard feature to make collaborative work more engaging, use Polling and Quizzes for instant feedback, AI Companion for summary, and Breakout Sessions for group activities. Register here: https://stonybrook.zoom.us/meeting/register/tJckf--rpj4pGdRV0ItgTW8Lk7gn_RuykByO#/registration
Join the Center of Excellence in Wireless and Information Technology (CEWIT) and their co-host IEEE-USA for a livestream panel discussion on Generative Artificial Intelligence (Gen AI). In this engaging livestream, we will dive into the technologies that continue to transform what is possible and explore the dynamic intersection of innovation, creativity, ethics, and Gen AI.

CEWIT is joined by Stony Brook University experts who will provide their insights and perspectives on this rapidly changing technology.

Meet the Panel

Laura Lindenfeld, PhD
Executive Director
Alan Alda Center for Communicating Science®
Dean
School of Communication & Journalism
BIO

Margaret Schedel, PhD
Associate Professor
Composition and Computer Music
Co-Founder
Lyrai
BIO

Steven Skiena, PhD
Interim Director
AI Innovation Institute
Distinguished Professor
Computer Science
BIO

Vivian Zhang
CTO/School Director
NYC Data Science Academy
Chief Data Officer
GoDental.ai
BIO


Register here.

This virtual presentation series is designed to inform the Stony Brook University research community about the Research Funding Landscape of key topic areas. Our Strategic Research Initiatives team will provide insight into the rapidly shifting funding environment using policy briefs, budgetary priorities, and relevant legislation. We will highlight federal and state priorities in the current and upcoming years to help Stony Brook researchers develop strategies for pursuing funding in a rapidly shifting environment. This series is moderated by Mónica Bugallo, Interim Vice President for Research & Innovation.

Join us for the third in the series, focused on the artificial intelligence landscape:


Translating the Funding Landscape for Stony Brook Researchers: Artificial Intelligence
Presented by Catherine Chen, Ph.D., Research Development Associate
Faculty Respondent: Assistant Professor Nav Nidhi Rajput, Department of Materials Science and Chemical Engineering
Wednesday, April 22, 2026 at 2 pm to 3 pm

Registration is Required

AI + Music Seminar - The meeting will consist of introductions and organizational discussions, aimed at understanding participants' interests. We'll discuss what the seminars can focus on going forward.
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025 will be held from June 11th to June 15th, 2025, at the Music City Center, Nashville, TN. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers. Register here.