Database Report: Twin-2K-500: A Data Set for Building Digital Twins of over 2,000 People Based on Their Answers to over 500 Questions
- Olivier Toubia ,
Corresponding Author
Olivier Toubia
[email protected]https://orcid.org/0000-0001-7493-9641
Marketing Division, Columbia Business School, Columbia University, New York, New York 10027
- George Z. Gui ,
George Z. Gui
[email protected]https://orcid.org/0000-0001-9399-649X
Marketing Division, Columbia Business School, Columbia University, New York, New York 10027
- Tianyi Peng,
Tianyi Peng
[email protected]Decision, Risk & Operations Division, Columbia Business School, Columbia University, New York, New York 10027;
- Daniel J. Merlau,
Daniel J. Merlau
[email protected]Marketing Division, Columbia Business School, Columbia University, New York, New York 10027
- Ang Li,
Ang Li
[email protected]Department of Computer Science, Columbia University, New York, New York 10025
- Haozhe Chen
Haozhe Chen
[email protected]Department of Computer Science, Columbia University, New York, New York 10025
Corresponding Author
Olivier Toubia
[email protected]https://orcid.org/0000-0001-7493-9641
Marketing Division, Columbia Business School, Columbia University, New York, New York 10027
George Z. Gui
[email protected]https://orcid.org/0000-0001-9399-649X
Marketing Division, Columbia Business School, Columbia University, New York, New York 10027
Tianyi Peng
[email protected]Decision, Risk & Operations Division, Columbia Business School, Columbia University, New York, New York 10027;
Daniel J. Merlau
[email protected]Marketing Division, Columbia Business School, Columbia University, New York, New York 10027
Ang Li
[email protected]Department of Computer Science, Columbia University, New York, New York 10025
Haozhe Chen
[email protected]Department of Computer Science, Columbia University, New York, New York 10025
Supplemental Material
The replication files for this article are available HERE.
