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2025 AOM Annual Meeting

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17187: Tracking Talent: Using Career Data to Study Innovation and Entrepreneurship

Saturday, July 26, 2025
10:45 - 12:45 CEST (GMT+2)
Location: Bella Center: Hall B- B0-m4
Session Type: PDW (workshop)
Orientation: Research
Shareable link: https://cdmcd.co/d6nMYA
The recent widespread availability of career data derived from social networks (LinkedIn and others) brings about exciting opportunities also for scholars of innovation and entrepreneurship. From fine-grained tracing of PhD holders’ careers to understanding the origins and destinations of high-growth founders, the new databases promise precision and widespread coverage to unlock a myriad of new opportunities for researchers. Yet, questions about the contexts of appropriate use and limitations remain. How does social network data compare to gold standard datasets derived from administrative records or to the traditional methods of disambiguated secondary data (e.g., patents, startup databases)? How can social network data be linked to such other data sources? What types of social network data serve as indicators for specific phenomena (e.g., job postings, skill reports, public posts)? In this PDW, we plan on showcasing both opportunities and challenges and bringing the community together to discuss best practices.

To participate in the roundtables, please fill in this registration form: https://docs.google.com/forms/d/e/1FAIpQLSeTXxIo9QdSaf5czePh5Lakm_ZvxAyTcJ6KB0cWmOtRWShFgA/viewform?usp=dialog Thank you! For further information, please reach out to: elisabeth.hofmeister@ip.mpg.de