IMAGINE MORE: Racial Justice Begins with Us. The virtual series continues with Achieving Safe and Healthy Homes for All on Tuesday, April 26, from 6:00 p.m. to 7:15 p.m. ET. This session will explore how pathways to homeownership, investments, and community-building can repair inequities and create wealth and opportunities for…
Please come join us tonight at 5:15 PM in 430 Robertson Hall or Zoom: https://princeton.zoom.us/j/2116361444
for Krystal Cohen’s panel discussion on Domestic Policy.
BY INVITATION ONLY
The Center for the Study of Democratic Politics (CSDP) is again honored to host the Stennis Congressional Staff Fellows. In April 2022, CSDP will host the Stennis Congressional Staff Fellows for the 117th Congress.
In-Person event. Zoom registration.
This event will be held in hybrid format, both on Zoom and in person. Registration is required for either attendance option. In-person attendance is restricted to current Princeton University ID holders. Open to the public on Zoom.
The Scholars in the Nation's Service Initiative (SINSI) community invites you to participate in a series of panels featuring the work of SIN SI scholars in government over the last 15 years. If you are interested in a fully paid federal government summer internship or a Master in Public Affairs fellowship, or just want to be…
Seminar is open to graduate students, faculty, and staff.
Please contact ffdata@princeton.edu if you are interested in attending and have not received an email invitation.
Click here for a full schedule of Spring 2022 Working Groups. All seminars are on Thursdays and run from 12:00 noon to 1:00 p.m.
Join us for a talk by Dr. Ibrahim Assane Mayaki, Chief Executive Officer of the African Union Development Agency (AU-NEPAD) and Former Prime Minister and Foreign Minister of Niger. Dr. Mayaki will discuss his new book, Africa’s Critical Choices: A Call for a pan-African Roadmap.
Research on machine learning (ML) algorithms, as well as on their ethical impacts, has focused largely on mathematical or computational questions. However, for algorithmic systems to be useful, reliable, and safe for human users, ML research must also wrangle with how users’ psychology and social context affect how they…
