Full Calendar

Get the who, what, where, and when of BU research.

This calendar is a round-up of events related to research from around BU. Browse all upcoming events by date, or select an event topic to narrow your search.

All Topics (February 27 through April 30)

Thursday, February 27

Friday, February 28

  • 3:00 PM
    CISE Seminar: Yushan Chen, Cofounder and COO, Artly AI
    Talk Title: Artly AI: Blending Automation with Craftsmanship Abstract:How can AI and robotics transform industries that rely on human skill and craftsmanship? In this talk, I will share the journey behind Artly AI and Artly Coffee, where cutting-edge automation meets artisanal expertise to redefine how we experience handcrafted products. From solving labor shortages to enhancing…

Monday, March 3

Wednesday, March 5

  • 8:30 AM
    Green Industrial Policy in the Global South
    As countries struggle to meet existing global and national development goals, and as the costs of climate inaction mount, there is a surge in policy discourse and experimentation with green industrial policy. While investment-led strategies toward just, green structural transformations will vary country to country - dependent on the economy and climate risk exposure -…

Thursday, March 6

  • 4:00 PM
    Accelerating Change in the Mobility Sector: Trends, Cutting Edge Technology, and How Cities Can Proactively Engage and Participate
    Join the Boston University Initiative on Cities and the City Planning & Urban Affairs Program for a panel discussion on how innovations and the latest in infrastructure delivery, materials, AI, electrification, data, and autonomy impact our built environment. The panel will examine the differences between private and public sector approaches to technological advances and discuss…
  • World Statistics Day Seminar
    Speaker:Youssef Marzouk, Professor in the Department of Aeronautics and Astronautics at MIT and co-director of the MIT Center for Computational Science and Engineering Talk Title: “Scaling up the black box: simulation-based inference, transport, and dimension reduction” Abstract: Many practical Bayesian inference problems fall into the simulation-based or “likelihood-free” setting, where evaluations of the likelihood function…

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