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Dissertation 4.5

Impact Investing for Data Science Teams: Equity And Access | Evidence from Benelux

22
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~ 23–32 mins
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Finance AI Education
Abstract

This dissertation investigates “Impact Investing for Data Science Teams: Equity And Access | Evidence from Benelux” using a topic modeling on open datasets. Through a institutional lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Impact Investing for Data Science Teams: Equity And Access | Evidence from Benelux

ABSTRACT
Impact Investing for Data Science Teams: Equity And Access | Evidence from Benelux is unpacked across themes: KPIs, costs, ethics, and usability. Limitations and future research paths are noted.
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