DATA AWARDS
Data Awards
Engerman-Goldin Prize
The EHA Committee on Research Archives and Databases invites nominations for the Engerman-Goldin Prize for creating, compiling, and sharing data and information with scholars. It is awarded in even numbered years (beginning in 2018) for contributions made in the previous six years.
The Committee’s criteria for determining the recipient are as follows:
– The prize may be awarded to an individual or up to five individuals, but not an organization. It can be awarded to an individual outstanding contributor in a group effort, but the size of the group will be considered when comparing candidates.
– Candidates should be in their early or mid-career and thus should not be in consideration for or have previously won the Gallman-Parker Prize, which celebrates lifetime data contributions.
– All else equal, the prize will be awarded for data contributions that have broader potential for researchers across locations, time periods, and fields.
– The recipient must still be living at the time of the vote.
Nominations along with a brief (2- to 3-page) description of the data set, its significance, and its dissemination should be sent to the committee chair Dan Fetter at daniel.k.fetter@dartmouth.edu with “Engerman-Goldin Prize Nomination” in the subject line.
DEADLINE FOR ENTRIES: March 15, 2026
Committee Chair:
Dan Fetter, daniel.k.fetter@dartmouth.edu
Other Committee Members:
Timothy Guinanae
Katherine Eriksson
Michael Haupert, ex officio
Congratulations to the 2024 Engerman-Goldin Prize Winners
The following were recognized for their contributions in the past six years for creating, compiling, and sharing data and information with scholars.
Winners: for “The Census Linking Project”
Ran Abramitzky, Stanford University
Leah Boustan, Princeton University
Katherine Eriksson, University of California, Davis
Santiago Perez, University of California, Davis
Myera Rashid, Northwestern University
Engerman-Goldin Prize Recipients
| YEAR | RECIPIENT | TITLE |
|---|---|---|
| 2022 | Alan Taylor | Contributions in the past six years in creating, compiling, and sharing data in the JST Macrohistory Dataset |
| 2020 | Sam Williamson | Measuring Worth |
| 2018 | Jeremy Atack | Vanderbilt University |