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Open-source intelligence for conservation biology.

Todd Katzner1, Eve Thomason2, Karrin Huhmann3

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Conservation Biology : the Journal of the Society for Conservation Biology
|August 18, 2022
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Summary

Open-source intelligence (OSINT) offers valuable frameworks for conservation biology, enhancing research on wildlife crime, behavior, and habitat. Recognizing OSINT

Keywords:
INTFAOSINTbig dataciencia ciudadanacitizen sciencecrimen ambientalenvironmental crimemacrodatosmercado de faunawildlife trade公民科学大数据开源情报(OSINT)环境犯罪野生动物贸易

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Area of Science:

  • Conservation Biology
  • Open-Source Intelligence (OSINT)

Background:

  • OSINT, originating in intelligence agencies, is increasingly influencing diverse scientific fields.
  • Conservation biology currently underutilizes OSINT, despite its existing application in wildlife crime and behavior studies.

Purpose of the Study:

  • To highlight the unrecognized conceptual foundations of OSINT tools within conservation biology.
  • To advocate for the adoption of an OSINT perspective to enrich conservation research and practice.

Main Methods:

  • Conceptual analysis of OSINT principles and their application in conservation.
  • Review of current and potential uses of OSINT in ecological research.

Main Results:

  • OSINT frameworks can significantly expand conservation biology's scope, including habitat use and change analysis.
  • Adopting an OSINT perspective offers advancements in data and privacy management for conservation efforts.

Conclusions:

  • Integrating OSINT conceptually can overcome limitations in current conservation research framing and implementation.
  • A broader OSINT perspective enriches biological understanding and biodiversity knowledge beyond "big data" approaches.