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Policy Brief 4.5

Cybersecurity for Agritech Startups: Data Quality And Bias | Post-Pandemic Lessons

8
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IEEE
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~ 8–12 mins
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AIOps MLOps Esports
Abstract

This policy brief investigates “Cybersecurity for Agritech Startups: Data Quality And Bias | Post-Pandemic Lessons” using a agent-based simulation. Through a socio-technical lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Cybersecurity for Agritech Startups: Data Quality And Bias | Post-Pandemic Lessons

ABSTRACT
Cybersecurity for Agritech Startups: Data Quality And Bias | Post-Pandemic Lessons is unpacked across themes: change enablement, interoperability, scalability, and usability. Limitations and future research paths are noted.
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