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Operationalizing a Medical Intelligence Platform for Humanitarian Security in Protracted Crises

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Modelling and Simulation for Autonomous Systems (MESAS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13207))

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Abstract

Most of present humanitarian crises are protracted in nature and their average duration has increased. Climate change, environmental degradation, armed conflicts, terrorism, and migration are producing exponentially growing needs to whom humanitarian organizations are struggling to respond. Novel infectious diseases such as COVID-19 add complexity to protracted crises. Planning to respond to current and future medical threats should integrate terrorist risk assessment, to safeguard population and reduce risks to aid workers. Technologies such as Artificial Intelligence (AI), and Modelling and Simulation (M&S) can play a crucial role. The present research has included the conduct of the United Nations HNPW 2021 session on AI and Medical Intelligence and an exercise on a real scenario. Focusing on medical and terror threats in North East Nigeria operating environment, authors have successfully deployed and tested the Expert.ai Medical Intelligence Platform (MIP) jointly with the MASA SYNERGY constructive simulation, with the aim to improve situational awareness to support decision-making in the context of a humanitarian operation.

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Author information

Authors and Affiliations

  1. Ronin Institute, Montclair, NJ, 07043, USA

    Walter David & Michelle King-Okoye

  2. University of Edinburgh, Edinburgh, EH8 9YL, UK

    Michelle King-Okoye

  3. Expert.ai, 41123, Modena, Italy

    Gianluca Sensidoni & Alessandro Capone

  4. International Organization for Migration, 1211, Geneva, Switzerland

    Irene Mugambwa

  5. Crisis Management and Disaster Response Centre of Excellence, 1606, Sofia, Bulgaria

    Stanislava Kraynova

  6. Masa Group SA, Group, 75002, Paris, France

    Beatriz Garmendia-Doval

Authors
  1. Walter David
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  2. Michelle King-Okoye
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  3. Gianluca Sensidoni
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  4. Alessandro Capone
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  5. Irene Mugambwa
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  6. Stanislava Kraynova
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  7. Beatriz Garmendia-Doval
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Corresponding author

Correspondence to Walter David .

Editor information

Editors and Affiliations

  1. NATO M&S COE, Rome, Italy

    Jan Mazal

  2. University of Palermo, Palermo, Italy

    Adriano Fagiolini

  3. Brno University of Technology, Brno, Czech Republic

    Petr Vasik

  4. NATO M&S COE, Rome, Italy

    Michele Turi

  5. Savona Campus, University of Genoa, Savona, Italy

    Agostino Bruzzone

  6. Bundeswehr University Munich, Neubiberg, München, Germany

    Stefan Pickl

  7. University of Defence, Brno, Czech Republic

    Vlastimil Neumann

  8. University of Defence, Brno, Czech Republic

    Petr Stodola

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David, W. et al. (2022). Operationalizing a Medical Intelligence Platform for Humanitarian Security in Protracted Crises. In: Mazal, J., et al. Modelling and Simulation for Autonomous Systems. MESAS 2021. Lecture Notes in Computer Science, vol 13207. Springer, Cham. https://doi.org/10.1007/978-3-030-98260-7_25

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  • DOI: https://doi.org/10.1007/978-3-030-98260-7_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98259-1

  • Online ISBN: 978-3-030-98260-7

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