Stochastic network models appear in various applications, including genetics, proteomics, medical imaging, international relationships, brain science, and many more. For example, they can help identify cybersecurity threats and make power grids more robust. However, all these applications rely on mathematical and statistical formulations designed to model underlying processes. In the past two decades, the modeling of networks and subsequent statistical analysis have become more sophisticated. Research has moved beyond studying individual networks to investigating time-varying and multilayer networks, to addressing privacy issues, and to expanding areas of applications. Often, these research threads are pursued separately, but could benefit from consideration collectively. In addition, limitations have become apparent, for example in the study of optimal likelihood-based algorithms that require impractically lengthy and expensive computations.
With this in mind, this workshop will provide a platform for interdisciplinary collaboration, to identify urgent problems facing the field, and to facilitate the exchange of advanced research methodologies for collection and analysis of diverse network data.
By bringing together mathematicians, statisticians, computer scientists, computational biologists, and machine learning researchers, the program aims to foster the development of new interdisciplinary research and education at the intersection of all these fields.
Poster Session and Lightning Talks
This workshop will include a poster sessionand lightning talks for early career researchers (including graduate students). In order to propose a poster or a lightning talk, you must first register for the workshop, and then submit a proposal using the form that will become available on this page after you register. You can request to do one, or both. The registration form should not be used to propose a posteror a lightning talk.
The deadline for proposing is Sunday, December 14, 2025. If your proposal is accepted, you should plan to attend the event in-person.
Joshua Agterberg
University of Illinois Urbana-Champaign
A
A
Avanti Athreya
John Hopkins University
H
C
Huimin Cheng
Boston University
X
D
Xiucai Ding
UC Davis
C
D
Claire Donnat
University of Chicago
D
D
David Dunson
Duke University
J
J
Jiashun Jin
Carnegie Mellon University
E
L
Elizaveta Levina
University of Michigan
S
L
Shuangning Li
University of Chicago
Z
L
Zachary Lubberts
University of Virginia
C
M
Cheng Mao
Georgia Tech
T
M
Tyler McCormick
University of Washington
M
R
Miklos Racz
Northwestern University
P
S
Purna Sarkar
University of Texas at Austin
M
S
Michael Schweinberger
Pennsylvania State University
S
S
Srijan Sengupta
North Carolina State University
J
X
Jiaming Xu
Duke University
Y
Y
Yi Yu
Warwick University
Registration
IMSI is committed to making all of our programs and events inclusive and accessible.
Contact [email protected] to request
disability-related accommodations.
In order to register for this workshop, you must have an IMSI account and be logged in.