Operationalizing a medical intelligence platform for humanitarian security in protracted crises

Walter David*, Michelle King-Okoye, Gianluca Sensidoni, Alessandro Capone, Irene Mugambwa, Stanislava Kraynova, Beatriz Garmendia-Doval

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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
Original languageEnglish
Title of host publicationModelling and Simulation for Autonomous Systems. MESAS 2021
EditorsJan Mazal, Adriano Fagiolini, Petr Vasik, Michele Turi, Agostino Bruzzone, Stefan Pickl, Vlastimil Neumann, Petr Stodola
Number of pages20
ISBN (Electronic)9783030982607
ISBN (Print)9783030982591
Publication statusPublished - 2 Apr 2022

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords / Materials (for Non-textual outputs)

  • protracted crises
  • humanitarian security
  • medical intelligence
  • artificial intelligence
  • machine learning
  • modelling & simulation
  • natural language understanding
  • cognitive algorithms
  • digital disease detection
  • deep semantic analysis
  • social media
  • situational awareness
  • decision-making


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