Database, Methodological Tools, and Research Opportunities: Creative Destruction Lab and Early-Stage Technology Ventures
Amir Sariri,
Evgenia Gatov,
Geneva Neal,
Kyle Robinson,
Sonia Sennik,
Wei Yang Tham,
Michael Vertolli and
Avi Goldfarb
No 34127, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
We introduce a new dataset built from a global non-profit startup program for early-stage high-technology startups called Creative Destruction Lab (CDL). The early stages of startup formation remain one of the least understood aspects of firm growth. The nature of this program and the data collected from its operations are well suited to investigate open questions in entrepreneurial strategy, entrepreneurial finance, advice, and technology transfer. This dataset combines three critical features for rigorous empirical research. First, the large, multi-year sample includes roughly 15,000 applicants, 9,000 founders in admitted startups, and nearly 2,000 mentors. Second, CDL recognized the academic value from the outset and built enterprise IT linking venture-level characteristics, structured longitudinal records of firm development and operations, and unstructured verbatim transcripts of mentor–founder discussions. Third, the data cover 27 technological domains such as therapeutics and quantum computing. This paper provides an overview of the setting from which data is collected, a high-level description of available data, and information on how to access these data for research.
JEL-codes: G24 L26 O3 (search for similar items in EconPapers)
Date: 2025-08
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