Could Distributed Peer Review Better Decide Grant Funding?
The landscape of academic grant funding is notoriously competitive and plagued by lengthy, bureaucratic processes, exacerbated by difficulties in finding willing reviewers. Distributed […]
On Measuring Social Science Impact: An Excerpt and Responses
On Measuring Social Science Impact: An Excerpt and Responses The following essay by Ziyad Marar is adapted from “On Measuring Social Science […]
Another COVID Casualty: Pew Examines Americans’ View of Science
How has the COVID-19 pandemic impacted science research itself, but also how Americans view science in their daily lives? The Pew Research […]
Patients Can Benefit When Psychologists Open Up About Their Own Mental Illnesses
the authors’ research finds that, far from being immune to the conditions they treat in others, psychologists grapple with mental health difficulties or illnesses just as much as their patients do.
Maybe You Can Judge a Journal by Its Cover: What Titles and Mission Statements Tell Us
Using a dataset of journals from the field of business, management, and accounting research, Julián D. Cortés explores how the title and aims and purposes varies across journal, prestige, geography and publication model.
Weighing the Benefits from New Data-Sharing Rules from the National Institutes of Health
Starting on Jan. 25, 2023, many of the 2,500 institutions and 300,000 researchers that the U.S. National Institutes of Health supports will need to provide a formal, detailed plan for publicly sharing the data generated by their research.
Collateral Damage: Russia’s War Damages its Academic Ties with West
Arik Burakovsky, an expert on relations between the U.S. and Russia, shines light on the future of cooperation between Russia and the West in the realm of higher education.
America’s DataHub Consortium: Seeing — and Understanding — the Entire Elephant
We live in the information age. So where are all the answers? A new data science consortium led by NSF’s National Center for Science and Engineering Statistics wants to reveal the answers and evidence hidden in a sea of federally compartmentalized data.
NIST Report: There’s More to AI Bias Than Biased Data
According to NIST’s Reva Schwartz, bias manifests itself not only in artificial intelligence algorithms and the data used to train them, but also in the societal context in which AI systems are used.
