Collaborating Frontiers

Description

The recent breakthroughs in biology, engineering, and mathematics, from innovative targeted therapies to advanced artificial intelligence, promise fundamental transformation to healthcare. Yet, these advancements also shine a light on the broad spectrum of pressing challenges, such as the lengthy and expensive drug development process, soaring healthcare expenses against the backdrop of stagnant life expectancies, the fragility of healthcare systems amidst crises, and the disparities and fragmentation in care delivery. These, and many more important challenges, require a collaborative approach among scientists, practitioners, policymakers, and academics. IMSI’s unique environment is ideally suited to transcend disciplinary silos, enabling interdisciplinary collaboration across mathematics, statis-tics, biology, medicine, machine learning, economics, and operations research to address these pivotal healthcare challenges effectively.

This initiative aims to create an active research community that will work together to solve the many current challenges of healthcare systems worldwide. The program will be centered around four primary pillars of the healthcare journey: (1) Drug Discovery and Clinical Trials, (2) Diagnostics, Screening, and Preventive Care, (3) Precision and Personalized Medicine, and (4) Digital Healthcare Delivery. The program will comprise a series of workshops dedicated to each pillar and a long-term residential component that will allow participants to form new research collaborations as part of the IMSI community.

General Information on Long Programs

Long program participants spend time (generally, anywhere from a few days up to the full length of the program) in-person at IMSI with other researchers, creating new collaborations and generating new research in the program’s focus area. Participants who are only intending to apply for a workshop should not apply for the long program but should apply for the relevant workshop(s) instead. Long program participants can be PhD students, postdocs, faculty, or researchers outside of academia such as national labs, industry, government, etc. There is some funding available, and funding can be requested in the application.