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 […]
CNSTAT Report Emphasizes the Need for a National Data Infrastructure
In the recent report, “Toward a 21st Century National Data Infrastructure: Mobilizing Information for the Common Good,” by the Committee on National Statistics (CNSTAT) of the National Academies of Sciences, Engineering, and Medicine, the importance of national data infrastructure is emphasized.
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.
Event: Value of Science: Data, Products and Use
Join the National Center for Science and Engineering Statistics and the Coleridge Initiative for a two-day conference to advance understanding of the […]
Why Social Science? Leaders Need to Know How to Lead with Evidence
Being bad at math can kill people. Even experts who should understand medical science and help us make good health decisions sometimes […]
Event: APDU 2021 Annual Conference
With economic, public health, and governance challenges arising from COVID-19 and political polarization, trustworthy public data is vital to open and honest […]
Confidentiality and Data Access: Webinar Series
The Federal Committee on Statistical Methodology and Council of Professional Associations on Federal Statistics are hosting an eight-session webinar series on confidentiality […]
How Data Empowered the Individual (and Won a Nobel)
Angus Deaton called for the applied microeconomists not to abandon economic theory in favor of experiments but instead to think more deeply about the consequences of economic theories and how they can be tested using real-world data. This is the approach he has followed throughout his career and what has led to him win a Nobel Prize.
