TY - GEN
T1 - Operationalizing a medical intelligence platform for humanitarian security in protracted crises
AU - David, Walter
AU - King-Okoye, Michelle
AU - Sensidoni, Gianluca
AU - Capone, Alessandro
AU - Mugambwa, Irene
AU - Kraynova, Stanislava
AU - Garmendia-Doval, Beatriz
PY - 2022/4/2
Y1 - 2022/4/2
N2 - 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
AB - 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
KW - protracted crises
KW - humanitarian security
KW - medical intelligence
KW - artificial intelligence
KW - machine learning
KW - modelling & simulation
KW - natural language understanding
KW - cognitive algorithms
KW - digital disease detection
KW - deep semantic analysis
KW - social media
KW - situational awareness
KW - decision-making
U2 - 10.1007/978-3-030-98260-7_25
DO - 10.1007/978-3-030-98260-7_25
M3 - Conference contribution
SN - 9783030982591
T3 - Lecture Notes in Computer Science
SP - 397
EP - 416
BT - Modelling and Simulation for Autonomous Systems. MESAS 2021
A2 - Mazal, Jan
A2 - Fagiolini, Adriano
A2 - Vasik, Petr
A2 - Turi, Michele
A2 - Bruzzone, Agostino
A2 - Pickl, Stefan
A2 - Neumann, Vlastimil
A2 - Stodola, Petr
PB - Springer
ER -