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Case Study 4.3

Cross-Border Trade for EU Startups: Data Quality And Bias | 2023–2029 Trends

18
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Chicago
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~ 19–28 mins
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Logistics DEI Cold Chain
Abstract

This case study investigates “Cross-Border Trade for EU Startups: Data Quality And Bias | 2023–2029 Trends” using a agent-based simulation. Through a socio-technical lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Cross-Border Trade for EU Startups: Data Quality And Bias | 2023–2029 Trends

ABSTRACT
Cross-Border Trade for EU Startups: Data Quality And Bias | 2023–2029 Trends is unpacked across themes: ethics, risks, equity, and costs. Limitations and future research paths are noted.
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