About this Event
CAUSALab is thrilled to invite you to the 22nd Kolokotrones Symposium at Harvard T.H. Chan School of Public Health, presented in collaboration with the Zhu Family Center for Global Cancer Prevention!
Causal Inference in Cancer: Informing Decisions from Prevention to Survivorship will explore how causal inference can inform cancer research and decision-making across the continuum of cancer prevention, detection, treatment, and survivorship. The symposium will feature expert talks and conclude with a panel discussion addressing a central question: Where do we go from here?
Speakers and panelists to be announced.
The symposium is free and open to the public, with both in-person and online attendance options. Space is limited, so please register now to reserve your spot. A Zoom link will be distributed to virtual attendees during the week leading up to the event.
For more information about the Kolokotrones Symposium, visit causalab.org.
Speakers’ remarks are based on their own scholarship and experience. As such, they speak for themselves, and not for Harvard University.
Persons with disabilities who would like to request accommodations or have questions about physical access may contact [email protected] in advance of the program.
By registering for the symposium, I acknowledge that photographs will be taken that I may be in. By registering, I hereby grant Harvard University permission to use my likeness in a photograph for promoting CAUSALab events or for any other lawful purpose without payment or other consideration. In addition, I authorize Harvard University permission to edit, alter, copy, exhibit, publish, or distribute photographs of myself. I understand and agree that all photographs will become the property of Harvard University. If I have any concerns or questions, I will directly contact [email protected] immediately following my registration.
Event venue & nearby stays
Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, United States
Concerts, fests, parties, meetups — all the happenings, one place.