Opportunities for Researchers Studying Labor Market Impacts of AI

The labor market implications of recent developments in AI, particularly generative AI systems or foundation models, are important but under-studied. To promote research on these issues, the National Bureau of Economic Research (NBER) will integrate researchers, particularly early-career scholars, studying these issues into its ongoing activities focused on Digitization and AI. In particular:

• The 2023 and 2024 Digitization Tutorials for PhD Students will expand and include five slots for students who are studying, or interested in studying, the labor market impacts of AI. Details on applying for the tutorial may be found in the "Open Calls" section of the NBER website each December.
• The 2023 meeting on IT and Digitization, held in July at the NBER Summer Institute, will feature a session on Digitization, AI, and Knowledge Work. Researchers who have completed papers on this topic and would like to submit them for program consideration can do so by visiting the Summer Institute submission page, also available as part of "Open Calls" on the NBER website, in February or early March of 2023.
• The NBER's September 2023 conference on the Economics of AI, which will be held in Toronto, will also include a session on Digitization, AI, and Knowledge Work. Researchers with completed papers who would like them considered for the program should visit the call for papers that will be posted under "Open Calls" on the NBER website in May and June 2023.

GitHub is proud to support research on this important set of issues as generative AI systems transform the way that software is made. We hope that further study will inform community and policy discussions on how to ensure beneficial impacts of new technologies to augment human capabilities. We intend to develop a community of researchers studying these issues. Anyone interested in discussing research ideas or data needs should please get in touch, in this issue or by emailing @pcihon at pcihon@github.com.