If you will be attending JSM in Boston, I hope to see you at the following sessions.
Best,
H. Dean Johnson
Invited Panel Session
Addressing Unethical and Unprofessional Practices in Statistical Collaboration
Mon, Aug 3, 2:00 PM - 3:50 PM
Room CC-107B
Thomas M. Menino Convention & Exhibition Center
H. Dean Johnson Organizer
Manisha Desai Chair
About this session
As statistical consultants and collaborators, we unfortunately can encounter practices in our interactions with clients that we judge to be unethical or unprofessional. Given that most of us have probably never received much guidance or training on how to respond in such situations, it is hard to know how to proceed in addressing the issue. This is especially true for those who are relatively new to the field of statistical consulting and collaboration. In this session, experienced collaborators will provide some examples of problematic practices they have observed in their own work and discuss what they did to address the matter. The personal experiences presented in this session will prove extremely value to all practicing consultants and collaborators.
3 Panelists
Kimberly Love
K. R. Love Quantitative Consulting & Collaboration
Xiaoying Yu
University of Texas Medical Branch at Galveston
Claire Kelling
Carleton College
Topic-Contributed Panel Session☆
The Most Essential Statistical and Non-statistical skills in 2026: How to Effectively use LLMs in Statistical Collaboration Settings
Wed, Aug 5, 8:30 AM - 10:20 AM
Room CC-107B
Thomas M. Menino Convention & Exhibition Center
H. Dean Johnson Organizer
Kimberly Love Chair
About this session
As large language models (LLMs) become increasingly capable of mimicking statistical reasoning, performing data cleaning and standard analyses and assisting in data interpretation, statistical consulting faces a transformative opportunity. In this session, experienced statistical consultants will discuss the ways in which AI has impacted their work. This will include the utilization of private LLMs to enhance efficiency of services, the changes in how we train our consultants and interact with clients, and the innovations in statistical communication. In addition, important ethical considerations will be discussed. Each panelist will give a 10 to 15-minute overview highlighting one of these impacts and the remainder of the session will be devoted to a panel discussion with the audience.
5 Panelists
Bruce Craig
Purdue University
Ryan Peterson
University of Iowa
Christopher Franck
Virginia Tech
Swarnita Chakraborty
Johnson & Johnson
Soumojit Das
Washington State University
Topic-Contributed Panel Session☆
They Never Taught Me That in School!
Mon, Aug 3, 2:00 PM - 3:50 PM
Room CC-103
Thomas M. Menino Convention & Exhibition Center
H. Dean Johnson Organizer
Julia Sharp Chair
About this session
Moving into the real world after graduation is quite a shock, and you will be asked to do things that no one taught you while you were in graduate school. Our panel will discuss the greatest challenges that they faced as consultants after graduation and what they did to overcome those challenges. We will encourage members of the audience to ask questions and share their experiences.
4 Panelists
Reka Howard
University of Nebraska-Lincoln
Elaine Eisenbeisz
Omega Statistics
Terrie Vasilopoulos
University of Florida, College of Medicine
Maria Montez-Rath
Stanford University
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H. Dean Johnson
Scholarly Professor
Department of Mathematics and Statistics
Washington State University
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