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

We introduce a public data set for building digital twins of more than 2,000 people based on their answers to more than 500 questions.

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Publication Details

Journal
Marketing Science
Published
2025-08-20
DOI
https://doi.org/10.1287/mksc.2025.0262
Citations
5
Primary Topic
Cognitive Science and Mapping
Type
article
Field-Weighted Citation Impact
12.40
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article

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

Tianyi Peng, Daniel J. Merlau, Olivier Toubia, George Gui et al.
5 citations
Marketing Science
Cognitive Science and Mapping
12.40
article

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

Tianyi Peng, Daniel J. Merlau, Olivier Toubia, George Gui, Ang Li, Haozhe Chen
article en
5 citations

Abstract

We introduce a public data set for building digital twins of more than 2,000 people based on their answers to more than 500 questions.

Marketing ScienceVol. 44(6)
Columbia University (US)
Openalex Percentile: Top 2%
Cognitive Science and Mapping
12.40
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