Social Science Space

In the Ithaka S+R report “Fostering Data Literacy: Teaching with Quantitative Data in the Social Sciences,” authored by Dylan Ruediger and Danielle Miriam Cooper, examined the use and teaching of data analysis in the social sciences. Ithaka S+R is the research arm of the ITHAKA not-for-profit which aims to help “the academic community use digital technologies to preserve the scholarly record and to advance research and teaching in sustainable ways.

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.

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.

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. 

Join the National Center for Science and Engineering Statistics and the Coleridge Initiative for a two-day conference to advance understanding […]

Being bad at math can kill people. Even experts who should understand medical science and help us make good health […]

With economic, public health, and governance challenges arising from COVID-19 and political polarization, trustworthy public data is vital to open […]

The Federal Committee on Statistical Methodology and Council of Professional Associations on Federal Statistics are hosting an eight-session webinar series […]

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.

The value of sharing research data is widely recognised by the research community and funders are setting in place stronger policy requirements for researchers to share data. But the costs to researchers in sharing their data can be considerable and the incentives are sometimes few and far between. A recent report from the cross-disciplinary Expert Advisory Group on Data Access highlights the need for a shift in cultures to provide greater support for researchers in sharing data and greater recognition for those who do it well.

This how-to by information designer Stephanie Evergreen first appeared at SAGE Connection. *** Why even present data at all? Why […]

Survey researchers are increasingly unable to get people to respond to surveys. This is a real worry because nonresponse can lead to biased research and because nonresponse poses a significant threat to the federal statistical system in its entirety.