Historical Analysis for Defence and Security Symposiums (HADSS), 8 – 11 July in York, England

Dr. Niall MacKay, University of York, has organized a historical analysis symposium in York, England, 8 – 11 July 2024. The announcement is below and in this link: Historical Analysis for Defence and Security Symposium | ICMS – International Centre for Mathematical Sciences.

I will be presenting at that conference and would like to think that our Historical Analysis Annual Conference (HAAC) last year was the inspiration for this effort. See last year’s schedule here: Schedule for the Historical Analysis Annual Conference (HAAC), 27-29 September 2022 – update 16 | Mystics & Statistics (dupuyinstitute.org) and this year’s schedule here: Schedule for the Second Historical Analysis Annual Conference (HAAC), 17 – 19 October 2023 | Mystics & Statistics (dupuyinstitute.org).

The announcement:

Historical Analysis for Defence and Security Symposium

 08 – 11 Jul 2024
 

ICMS @ York

Details regarding participation will appear here shortly

Scientific Committee

  • Colin Irwin, DSTL
  • Niall MacKay, University of York
  • Richard Underwood, RED Scientific Ltd

Local Organisers

  • Ian Horwood, York St John University
  • Niall MacKay, University of York
  • Chris Price, York St John University
  • Jamie Wood, University of York

About:

The theme of this meeting, which links academia, industry and government, is historical analysis (HA), the sub-discipline of operational research which conducts quantitative studies of historical warfare and other operations to learn lessons for contemporary defence and security. In addition to attendees from industry and government already familiar with the area, the meeting aims to attract academic operational researchers, mathematicians and statisticians with a strong interest in history, and historians sympathetic to quantitative approaches. Talks and discussions will be accessible to all, with the aim of the meeting being to seed innovative technique and analysis both directly in HA and across the traditional academic divide between history and the mathematical sciences.

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Christopher A. Lawrence
Christopher A. Lawrence

Christopher A. Lawrence is a professional historian and military analyst. He is the Executive Director and President of The Dupuy Institute, an organization dedicated to scholarly research and objective analysis of historical data related to armed conflict and the resolution of armed conflict. The Dupuy Institute provides independent, historically-based analyses of lessons learned from modern military experience.

Mr. Lawrence was the program manager for the Ardennes Campaign Simulation Data Base, the Kursk Data Base, the Modern Insurgency Spread Sheets and for a number of other smaller combat data bases. He has participated in casualty estimation studies (including estimates for Bosnia and Iraq) and studies of air campaign modeling, enemy prisoner of war capture rates, medium weight armor, urban warfare, situational awareness, counterinsurgency and other subjects for the U.S. Army, the Defense Department, the Joint Staff and the U.S. Air Force. He has also directed a number of studies related to the military impact of banning antipersonnel mines for the Joint Staff, Los Alamos National Laboratories and the Vietnam Veterans of American Foundation.

His published works include papers and monographs for the Congressional Office of Technology Assessment and the Vietnam Veterans of American Foundation, in addition to over 40 articles written for limited-distribution newsletters and over 60 analytical reports prepared for the Defense Department. He is the author of Kursk: The Battle of Prokhorovka (Aberdeen Books, Sheridan, CO., 2015), America’s Modern Wars: Understanding Iraq, Afghanistan and Vietnam (Casemate Publishers, Philadelphia & Oxford, 2015), War by Numbers: Understanding Conventional Combat (Potomac Books, Lincoln, NE., 2017) and The Battle of Prokhorovka (Stackpole Books, Guilford, CT., 2019)

Mr. Lawrence lives in northern Virginia, near Washington, D.C., with his wife and son.

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