With the availability of data and information from multiple sources and domains, the past two decades have witnessed an explosive evolution on statistical methodologies for model transportability, generalizability, data exploitation, integration, and fusion. Concurrently, the machine learning community has also forged ahead with the creation of algorithms and approaches for transfer learning, out-of-distribution prediction, semi-supervised learning, and federated learning. While many research concepts and proposals share a pertinent and akin nature, they have not yet garnered unanimous recognition.
A primary objective of this workshop is to convene statisticians, biostatisticians, computer scientists, epidemiologists, social scientists, and industry researchers. The aim is twofold: firstly, to showcase the most recent advancements in this expansive realm of research; and secondly, to cast a visionary gaze towards new horizons that lie ahead.
Poster Session
This workshop will include a poster session for early career researchers (including graduate students). In order to propose a poster, 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. The registration form should not be used to propose a poster.
The deadline for proposing is Sunday, April 12, 2026. If your proposal is accepted, you should plan to attend the event in-person.
Funding
There is limited funding for participants, and funding is not guaranteed. Funding requests received by Sunday, April 12, 2026 will have priority.
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. Please use one of the buttons below to login or create an account.