The Kennedy College of Science, Department of Chemistry, invites you to attend a Ph.D. Research Proposal defense by Kithma Sajini entitled “Computational Investigation of Ligand-Protected Gold ...

Nearly half of Utah’s K-3 students are reading behind their grade level, even though almost five years ago Utah lawmakers set ...

This article explores how New York courts are addressing the use of AI in litigation. While no statewide rules currently ...

The 2026 issue of the AAUP's Journal of Academic Freedom seeks submissions on initiatives that have been pursued, strategies that have been deployed, coalitions that have been built, and work that ...

Please register for the conference and see workshop registration for signing up. This workshop is in-person only and requires pre-registration, as well as registration to the main conference. Abstract ...

Foreign tourists to the U.S. could be required to disclose the past five years of their social media activity if a Tuesday rule proposed by Customs and Border Protection (CBP) is approved. “In order ...

Shifting toward merit-based selection of public university board members can better protect academic freedom than politically appointed boards, which have increasingly exerted influence over state ...

A new report from Springer Nature, in partnership with Overton, offers the most comprehensive picture yet of how academic research is influencing real-world policy tied to the Sustainable Development ...

The Department of Education is once again in the spotlight, and this time it is for proposed changes on how professional career fields will be categorized and defined as it relates to education loans.

Volha Chykina has received funding from Mellon Foundation / Scholars at Risk to support her research on academic freedom. David P. Baker has received funding for research on higher education and ...

AAPA President Dr Todd Pickard called the restrictive proposal as "a dangerous setback for patients,” as “fewer PAs in the workforce means fewer providers available when they’re needed most.” The US ...

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...