Support the ‘Prince’

Please disable ad blockers for our domain. Thank you!

Katie Tam



Sibley ’19 reflects on eye health, U. accommodations

In February of this year, Sibley sent an email to residential college listservs with the subject line “Don’t Be Me. Graduate on Time!” Sibley warned readers about the dangers of too much screen time and offered suggestions for preserving your vision, including inverting the display colors on your computer and following the 20-20-20 rule: for every twenty minutes of staring at a screen, look twenty feet away for twenty seconds.

AAS department grows rapidly, adds more interdisciplinary courses

With its first cohort of concentrators graduating in June 2018, the African American Studies (AAS) Department is looking to continue its work in education and research. In the past seven years, the department has hired a large number of faculty, growing rapidly to the six fully-appointed and eight jointly-appointed faculty members they have today. The new hires shaped the team, adding their own unique insights, backgrounds, and visions.  Currently, the AAS department is focused on its academic offerings, developing its curricula and opening courses to a broader swath of the University community. Upcoming classes will continue to cut across traditional disciplines, attracting students in many departments.  

University students collaborate with town for sustainability efforts

Since fall 2018, University students have been collaborating with the town of Princeton on a Climate Action Plan to reduce greenhouse gas emissions.  The Climate Action Plan (CAP) was initiated as part of the town Council’s 2017 goals and objectives. A major aim of the CAP is to reduce greenhouse gas (GHG) emissions in Princeton from a 2010 baseline of approximately 433,000 metric tons of CO2 emissions.

Google, U. partner to create AI lab at Palmer Square

As part of the ongoing partnership between the University and Google, a new Google AI lab will open next week at 1 Palmer Square under the leadership of computer science professors Elad Hazan and Yoram Singer, focusing primarily on machine learning.