ASA Fellowships and Grants

ASA/ACM/AMS/IMS/MAA/SIAM Science and Technology Policy Fellowship

The ASA/ACM/AMS/IMS/MAA/SIAM 2019–2020 Science and Technology Policy Fellowship 2019–2020 Science and Technology Policy Fellowship focuses on data science and related expertise such as machine learning, data visualization, and causal inference to meet legislative and policymaking challenges. Fellows serve one year in a federal agency or on the staff of a senator, representative, or congressional committee beginning September 2019 (pending funding). Learn about the executive and legislative processes and lend statistical and scientific expertise to public policy issues.

Individuals who are US. citizens and have a PhD in statistics, data science, mathematics, or a closely related field are encouraged to apply. The ASA seeks candidates reflecting the diversity of our society. Applications (http://bit.ly/ScienceTechnologyPolicyFellow) are due by January 15, 2019, and require a candidate statement, biographical sketch, and three letters of reference.

ASA/AAAS Mass Media Fellowship

This 10-week summer program places science, engineering, and mathematics students at media organizations nationwide. Fellows use their academic training as they research, write, and report today’s headlines, sharpening their abilities to communicate complex scientific issues to the public.

ASA/NSF Federal Statistics Fellowship Program

The ASA/NSF/Federal Statistics Fellowship program is jointly supported by the National Science Foundation, U.S. Census Bureau, Bureau of Economic Analysis, and the Bureau of Labor Statistics. The general objective of the program is to foster collaborative and interdisciplinary research efforts that will continue to stimulate the development and advancement of methodology and social science research relevant to issues on which federal statistical agencies seek to provide information. The program accomplishes this by bringing academic researchers to work with statisticians and social scientists in the following three federal agencies for up to one year:

ASA/NSF/BEA Fellowship Program
The American Statistical Association, in cooperation with the Bureau of Economic Analysis, created the ASA & BEA Research Fellowship Program designed to improve the collaboration between government and academic research. The program allows research fellows to come to the Bureau of Economic Analysis, one of the world's leading statistical agencies, to use BEA data and interact with agency staff.

ASA/NSF/Census Bureau Research Program
The ASA/NSF/Census Bureau Research Program helps bridge the gap between government and academic science by bringing researchers closer to the production of data sets relevant to their research. The program allows for senior statisticians, social scientists, computer scientists, geographers, and others to come to the U.S. Census Bureau as research fellows for 6–12 months to use bureau data sets and interact with bureau staff.

ASA/NSF/BLS Fellowship Program
The ASA/NSF/BLS Fellowship Program is designed to improve the collaboration between government and academic research. The program allows research fellows to come to the Bureau of Labor Statistics to use agency data and interact with agency staff.

ASA & NCHS Research Fellowship Program

The American Statistical Association, in cooperation with the National Center for Health Statistics, created the ASA & NCHS Research Fellowship Program to bridge the gap between academic scholars and government health research programs. Fellows work to solve methodological problems and study analytical issues relevant to NCHS programs, data, and facilities.

ASA/NASS Research Fellow & Associate Program

This program is designed to provide the selected fellows and associates with research opportunities or experience in the application of statistical theory in all phases of large-scale agricultural survey operations, including design, collection, quality control, forecasting, estimation, and analysis. Participants engage in research that is of mutual interest to them and NASS in residence at NASS, gaining unique opportunities for use of extensive NASS data and interaction with NASS staff.