Join the Association for Public Policy Analysis and Management (APPAM) for a webinar focused on on data access and what researchers who rely on federal datasets for their work might expect in the future from the Trump administration.
The webinar will explore the availability of data on agency websites, access to confidential data, interaction with agency staff, and data continuity and quality. Panelists will assess what has changed and where efforts to get answers from the administration stand. The panel will also discuss the next steps in the pursuit against missing public information that underpins the research all our members engage in. Time will be reserved for audience questions. This webinar is free and open to all. Learn more and register here.
Speakers: Jed Kolko (Former Undersecretary for Economic Affairs at the Department of Commerce), Amy O’Hara (Director, Georgetown Federal Statistical Research Data Center), Steve Pierson (Director of Science Policy, American Statistical Association)
Moderator: Erica L. Groshen (Senior Economic Advisor, Cornell ILR School and Former Commissioner of the US Bureau of Labor Statistics)
The new, NIA-funded GECC has pilot project funding available. The GECC facilitates research on the environmental determinants of Alzheimer’s Disease (AD) and AD-Related Dementials (ADRD) risk, resilience, and disparities, and emphasizes six environmental domains including climate and the physical environment.
Application deadline is March 1.
The American Sociological Association’s Sociology of Population section is accepting nominations for the best student paper in the sociology of population. This award consists of a certificate and $500 award. The paper must use a sociological perspective to address an issue of relevance to contemporary demography, broadly construed; purely technical papers are not eligible. The paper can be published or unpublished and should be article-length (approximately 40 pages including tables and figures). Papers can be sole-authored or have multiple student authors. All authors must be currently enrolled in graduate school or have completed their Ph.D. degrees on or after January 1, 2024. No faculty co-authors are allowed.
Please send a letter of nomination with author name(s), title, date of publication, and a brief statement explaining the significance of the work and its contribution to the sociology of population. Self-nominations are welcome. Nominations and a copy of the article should be emailed to all committee members by March 1, 2025. Membership in the Sociology of Population Section of the ASA is not a requirement for the award but is encouraged.
Karen Benjamin Guzzo (Chair), University of North Carolina at Chapel Hill, karen.guzzo@unc.edu
Zoya Gubernskaya, University at Albany, zgubernskaya@albany.edu
Ohjae Gowen, Singapore Management University, ohjaegowen@smu.edu.sg
Sophia Chae, University of Montreal, sophia.chae@umontreal.ca
Won-tak Ju, University of Florida, wjoo@ufl.edu
On Wednesday 2/19 from 9-10 AM, CDWG will host Dr. Kivan Polimis for a research talk. Kivan Polimis is a Data Scientist at Karna and a lecturer in the Sociology Department at the University of Washington. Dr. Polimis is a computational demographer specializing in the use of non-traditional data such as social media to analyze population dynamics, with a focus on migration patterns. Dr. Polimis’ research leverages statistical frameworks that fuse novel and traditional demographic data to explore how digital interactions reflect demographic trends. The presentation will be entitled “Restoring Trust in Scholarly Research: Using Data-Driven Analysis of Retractions to Enhance Transparency and Accountability.”
Eroding trust in institutions across fields such as academia, journalism, public health, and government poses a significant threat to personal well-being and the integrity of knowledge production. While academia already relies on evaluations like peer-reviewed research, it can further enhance accountability by adopting tools that promote greater researcher accountability. For example, implementing tools to identify articles likely to be retracted due to critical errors or misconduct would help restore public trust in scholarly work. This project integrates data from multiple scholarly databases, including withdrarXiv, Scopus, and Google Citations, to track and analyze metrics of retracted academic articles. By using Natural Language Processing (NLP) and machine learning techniques, the project aims to predict features of withdrawn articles, such as patterns in author behavior, publication fields, and citation dynamics. Additionally, an investigation into how problematic research spreads within academic communities by analyzing publication networks, author movement, and citation relationships is ongoing. The findings presented here are preliminary.