RSS feed Add to your Facebook page LinkedIn Watch us on Youtube

ICT Challenges for military operations in contested urban environment & disinformation detection in social media

IST Call for Papers and AI Challenge: "ICT Challenges for military operations in contested urban environment" & "disinformation detection in social media" - 12-13 May 2020, NLD

Information is crucial for military operations, and situational awareness or even understanding leads to better decisions and actions, which lead to successful missions. However, information provisioning in military operations is always challenging. Civil communications systems are either not available, not trusted or subject to hostile activities, which results in a disadvantaged infrastructure with limited or interrupted resources such as bandwidth, processing and storage capacity. Military operations in urban environment are amongst the most dangerous and challenging. Whilst protecting the civilian population, opposing forces are difficult to locate, identify and track, and communications are hampered by structures and manmade noise. A smart city provides multiple means that can be exploited by the military, such as: use of civil infrastructures for communication, use of social media for information and communication, use of present sensors (Internet of Things).

The International Conference on Military Communications and Information Systems (ICMCIS) has released the Call for Papers for its 2020 event, under the theme "Information and Communications Technology (ICT) Challenges for military operations in contested urban environment". The aim of the conference is to provide a forum for networking and exchanging of ideas on development and implementation of advanced information and communications technologies and services into military systems. In addition to the call for papers, the ICMCIS will introduce a challenge for the first time. The theme will be disinformation detection in social media, in which the participants will be challenged to develop misinformation detection algorithms that can automatically classify these tweets as related to misinformation or trusted information. For further details, do not hesitate to contact the IST Panel Office.

Published by IST