This grant to the Council on Library and Information Resources funds a fellowship program for four, two-year postdocs interested in working at the intersection of energy economics and data science.
As large, complex datasets on energy production, transportation, and use become increasingly available, demand has emerged for a new type of scholar with one foot firmly in energy economics—the data it uses, the questions it asks, the methodologies it deploys—and one foot in data science. These fellowships aim to fill some of that need by creating postdoctoral positions that provide such training. Supported fellows will work on a diverse array of projects such as energy data visualization, integrating multiple datasets, and establishing university-wide energy data storage and access platforms.
Fellows will be placed at four energy research centers that are existing grantees in the Foundation’s Energy and Environment program: University of California Berkeley’s Energy Institute at Haas, the Energy Institute at the University of Texas at Austin, Duke University’s Energy Data Analytics Lab, and the Energy Policy Institute at the University of Chicago. Fellows will be selected in close cooperation with researchers at each institute, ensuring that candidates have both the skills and research interests each institute needs. As a signal of demand for the fellows, participating Centers have agreed to cover 50% of each fellow’s stipend and benefits costs.
The fellowship program will be administered by the Council on Library and Information Resources, which has experience running several successful fellowship programs and has well-established recruitment, selection, mentoring, and professional development processes, including annual network-building workshops and the provision of micro-grants to selected fellows for collaborative projects.