The IEEE Life Members History Fellowship supports either one year of full-time graduate work in the history of electrical science and technology at a college or university of recognized standing or up to one year of post-doctoral research. The award carries a stipend of US$25,000 plus research budget up to US$3000.

David Dunning headshotDavid E. Dunning, 2022-23 IEEE Life Member History Fellowship Winner

Study Topic: To Program Language: A History of What We Talk with in the Age of Computing

David E. Dunning is a historian of science, mathematics, and computing in modern Europe and North America. His research explores the material and social dimensions of abstract knowledge. He is currently launching a project that explores the early history of programming languages in tandem with conceptions of language more broadly, investigating how different visions of human language shaped and were shaped by the evolution of programming practices. Dunning holds a Ph.D. in History of Science from Princeton University. He is currently a Postdoctoral Research Associate at the University of Oxford and in 2022-23 will be affiliated with the University of Pennsylvania as a Lecturer in the Integrated Studies Program.


Giickman 1Susanna Glickman, 2021-22 IEEE Life Member History Fellowship Winner

Study Topic: Quantum Computing and Information

Susannah Glickman is a Ph.D. candidate in the American History track at Columbia University. She has a background in mathematics and anthropology and works between the fields of science and technology studies and history, mixing archival and ethnographic methods. Specifically, she is interested in how institutions deal with the category of the future. Most of her research focuses on the history of quantum computation and information through the transformations in global American science that occurred at the end of the Cold War. She also sometimes writes about risk and uncertainty in other fields (for example, in history of economics) where those topics intersect theoretically with her interest in forecasting and speculative futures.

Before Columbia, she got her B.A. from Reed College (2015) in mathematics and anthropology.  She worked as an RA at Harvard researching the history of biomarkers (2013-2016) and continued her thesis research (2015-2016) on quantum algorithms (specifically, on optimal queries for algorithms like the dihedral hidden subgroup problem) with her undergraduate advisor Jamie Pommersheim.

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