Writing Workshop for Junior Researchers 2025 - Day 3 In-Person at JSM Nashville

Sunday, August 3, 2025 - Day 3 In-Person at JSM 2025 in Nashville, TN

All Writing Workshop Dates:

Prior to JSM On-Line via Zoom: In-person at JSM in Nashville, TN:
  • Sunday, August 3, 2025 

TO PARTICIPANTS OF DAY 1 & 2 OF THE WRITING WORKSHOP:

Please note that Day 3 is not required for those participating in the 2-days of the Writing Workshop in order to receive your Certificate of Completion for the Writing Workshop (we know not everyone plans to attend JSM in-person). If you are attending JSM and participated in the 2-days of the Writing Workshop, you are automatically registered for this Short Course and do not have to pay another fee. You do not need to re-register. Again, not attending Day 3 does not effect course completion. Course completion is considered the completion of both Fridays, July 18 & 25, only.

TO JSM PARTICIPANTS THAT ARE NOT REGISTERED FOR THE WRITING WORKSHOP:

NISS Affiliates can register with a discount code. Please ask officeadmin@niss.org for the code.

Non-NISS Affiliates attending JSM are welcome to take the course. If you are ONLY interested in taking the short course and are not a NISS Affiliate, then click here to register (fee $70). (opening soon)

To everyone, the registration for the short course on ChatGPT will remain open up to the time of the start of the short course on Sunday, August 3. Once the doors close to start the class, the registration will close.

If you have any questions, please reach out to officeadmin@niss.org.

Short Course on Day 3

This short course introduces statisticians to the practical use of Generative AI tools (with focus on ChatGPT) to streamline and enhance the academic writing process. Designed for efficiency, the session walks participants through key applications of Gen-AI in research communication, including: generating manuscript outlines, summarizing existing papers, improving draft writing, and assisting with technical tasks such as LaTeX formatting and R scripting. The session will also briefly address common pitfalls and ethical considerations surrounding AI-assisted writing. No prior experience with AI tools is required.

Linjun Zhang

Linjun Zhang is an Associate Professor in the Department of Statistics, at Rutgers University. He obtained his Ph.D. in Statistics at the Wharton School, the University of Pennsylvania in 2019, and received J. Parker Bursk Memorial Prize and Donald S. Murray Prize for excellence in research and teaching, respectively upon graduation. He also received the NSF CAREER Award, and Rutgers Presidential Teaching Award in 2024. His current research interests include algorithmic fairness, privacy-preserving data analysis, deep learning theory, and high-dimensional statistics.

SUNDAY AGENDA  (subject to change)

Sunday, August 3, 2025 (in-person at JSM)

8:00 am – 8:30 am

Coffee, and Introductions

 

Piaomu Liu, Bentley University

8:30 am – 10:15 am

Short Course 6: An Introduction to ChatGPT

Linjun Zhang, Rutgers University-New Brunswick

10:15 am – 11:45 am

Panel 3: Speaking from Experiences and Career Development

Moderator: David S. Matteson, NISS & Cornell University

David Banks, Duke University

Edsel Peña, University of South Carolina

Kathy Ensor, Rice University

Bin Yu, University of California, Berkeley

11:45 am – noon

Discussion, Evaluation and Certificates

 

 

Organizers

Piaomu Liu, Bentley University (Chair)
Toryn Schafer, Texas A&M University
Dan Kowal, Cornell University
Wei Vivian Li, University of California, Riverside
David S. Matteson, NISS/Cornell University
Randy Freret, NISS.org

 

Sponsors for Writing Workshop 2025!

Organizers for Writing Workshop 2025!

Event Type

Sponsor

National Science Foundation (NSF)
American Statistical Association (ASA)
Canadian Statistical Sciences Institute (CANSSI)
Caucus for Women in Statistics and Data Science (CWS)
Institute of Mathematical Statistics (IMS)

Location

Linjun Zhang, Associate Professor, Department of Statistics, Rutgers University; Winner, The Presidential Fellowship for Teaching Excellence Award