May 27–28, 2021
Illustration : background map of Paris and illustration provided by Victor Gay.
Background and objective
The recent decade has witnessed a rise in the availability of large datasets or “Big Data” in economics, and social sciences more generally. The field of economic history is no exception: The recent and rapidly growing availability of Big Data from digitized historical sources is comparable in importance and magnitude to the Cliometric revolution. Big Data in economic history pose specific challenges, though: How can economic history make use of the new wealth of available data? Does it pose the threat of the understudy of areas and periods that are much less rich with respect to data availability? Does the abundance of Big Data induce economic historians to pay less attention to how the data have been created in the first place, which is a traditional strength of economic historians?
This conference will gather leading scholars in the field of economic history and other related social sciences and humanities who have general interest in Big Data in History.
The workshop will have four sessions:
1. Micro-level data. Population, manufacturing, and agricultural censuses; vital and inheritance records; geolocated micro-level data.
2. Textual data. Printed material (books, newspapers, . . . ) and speeches.
3. Georeferenced data. Geographically located network data (transportation, urban, water infrastructures)
4. Ancient and medieval data. Archeological, papyrological, paleontological, and soil data.
Katherine A Eriksson (UC Davis)
Shari Eli (Toronto)
Lionel Kesztenbaum (INED)
Steven Ruggles (Minnesota)
Ewen Gallic (AMSE)
Leigh Shaw-Taylor (Cambridge)
Guillaume Blanc (Brown Unviersity)
Michela Giorcelli (UCLA)
Elliott Ash (Zurich)
Rémi Jedwab (George Washington)
Eric Melander (University of Namur)
Thomas Thévenin (Université de Bourgogone)
Ancient and medieval data
Mattia Fochesato (Bocconi)
Yossef Rapoport (Queen Mary)
May 27-28, 2021
To mitigate the time difference between participants, the conference will run from 3pm to 8 or 9pm Toulouse time with breaks in-between sessions
Online registration is required to attend the workshop. Details on how to register will be posted by April 30th
For further information, please send an email to: firstname.lastname@example.org
This event is funded by a French government subsidy managed by the Agence Nationale de la Recherche under the framework of the investissements d'avenir programme reference ANR-17-EURE-0010.
Big Data in Economic History Conference, May 27–28, 2021.