Red Teaming the Biological Sciences for Deliberate Threats
Lisa Zhang and
Gigi Kwik Gronvall
Terrorism and Political Violence, 2020, vol. 32, issue 6, 1225-1244
Abstract:
This article describes the use of “red teaming” to analyze and forecast biological threats to U.S. national security. Red teaming is a method whereby participants adopt an adversarial perspective, and is used to stimulate critical and creative thinking without some of the flaws of other types of threat assessments, including mirror-imaging. Red team analysis is prevalent in the military, security, and commercial realms. There have been widespread calls from government and private organizations to analyze biological threats with a red teaming approach, in order to prioritize resources and to counter a wide array of biological agents. This paper includes a timeline of historical examples of both biological red team simulations and vulnerability probes, and discusses the challenges of conducting realistic, cost-effective modeling of biological agents. Finally, we propose additional analytical tools to the UK Ministry of Defense’s red team framework for the future development of structured, biological red team exercises, and discuss other existing future-oriented threat assessments in this realm.
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/09546553.2018.1457527 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:ftpvxx:v:32:y:2020:i:6:p:1225-1244
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/ftpv20
DOI: 10.1080/09546553.2018.1457527
Access Statistics for this article
Terrorism and Political Violence is currently edited by James Forest
More articles in Terrorism and Political Violence from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().