Description

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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 session and 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 poster or 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.

Organizers

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J C
Joshua Cape University of Wisconsin, Madison
C G
Chao Gao University of Chicago
T K
Tracy Ke Harvard University
E K
Eric Kolaczyk McGill University
M P
Marianna Pensky University of Central Florida

Speakers

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J A
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.