Calendar
View the calendar below to explore all upcoming events sponsored by the Institute and its affiliate centers and initiatives. Browse events by date, or select an event topic to narrow your search.
View past events on our YouTube channel here.
All Topics (July 6 through September 30)
Monday, August 19
- 2:00 PM
SHIELD Webinars
The Human Spirit Can Make The ‘Impossible’ Possible: What space exploration can learn about passion, persistence, and resilience from a groundbreaking athlete.
A conversation between Diana Nyad
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Monday, August 26
- All Day
2nd Neuroscience of the Everyday World Conference
Hosted by Boston University and Chen Institute, This event is an excellent platform for researchers, academics and students in the fields of computer science, biomedical engineering, cognitive science, neurology,
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Tuesday, August 27
- All Day
2nd Neuroscience of the Everyday World Conference
Hosted by Boston University and Chen Institute, This event is an excellent platform for researchers, academics and students in the fields of computer science, biomedical engineering, cognitive science, neurology,
[…]
Thursday, September 5
- 12:00 PM
BU Health Data Science Poster Session
The goal of this event is to bring together health data science scholars, trainees, and industry leaders from various disciplines across BU and beyond. We will feature a diverse range
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Friday, September 13
- 3:00 PM
CISE/Hariri Distinguished Speaker Marc Raibert, Executive Director, AI Institute; Founder, Boston Dynamics
Making Robots Smarter in Body in Mind
Robot hardware is getting better and better, robot perception improves on almost a daily basis, and their athletic skills are advancing
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Friday, September 27
- 1:00 PM
CLASSES SUSPENDED - Dr. Melissa Gilliam Inauguration
On Friday, September 27, at 2 pm, Dr. Melissa Gilliam will be inaugurated as Boston University’s 11th president at Agganis Arena. Recognizing the historic nature of this occasion and to […]
- 3:00 PM
CISE Seminar: Mohsen Bayati, Stanford University
Causal Message Passing: A Method for Experiments with Unknown and General Network Interference
Randomized experiments are a powerful methodology for data-driven evaluation of deci- sions or
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