JDST 2020 : JDST: Big Data Challenges – Situation Awareness and Decision Support
Call For Papers
Big Data Challenges – Situation Awareness and Decision Support
The NATO Science and Technology Organization (STO) recently organized a multi-national workshop on “Big Data Challenges – Situation Awareness and Decision Support”. The aims of the workshop were to raise awareness of: common and different problems; available and foreseen technologies; capabilities and efforts; and also, to support the development of research collaborations.
The themes of the workshop explored how the availability of big data, as well as technologies to exploit big data, may assist the military in understanding the situations they currently encounter and will encounter, and how these may support them in making better decisions. The challenges for the development and opportunities for the exploitation of Big Data are likely to vary from domain to domain. The workshop was composed of presentations and discussions relating to a broad spectrum of potential (military) domains.
To reflect and build on these developments, the Journal of Defence & Security Technologies (JDST) issues this Call for Papers for an Issue on “Big Data Challenges – Situation Awareness and Decision Support”. This Issue intends to continue discussing views, challenges, and work on the use of big data to support the military with obtaining situation awareness and informed decision making.
Interested authors are invited to submit an original contribution addressing (but not limited to) one or more of the following topics:
Challenges in Big Data exploration / exploitation
Cyber defence and security
Human cognition and perception
Medicine / Genomics
Modelling and simulation
Sensors and electronic technology
Dr. Margaret Varga, University of Oxford, United Kingdom.
Ms. Valérie Lavigne, from Defence Research and Development Canada / Government of Canada.
Publication charges: Publication of the accepted paper in the JDST journal is free of charge.
Deadline: Authors are invited to submit full texts (using the JDST template in ODT format or JDST template in DOCX format) by the end of October 2020. We accept articles in English language only.
Expected date of publication: The online publication of this special issue is scheduled for the end of November 2020, and the printed version – for December 2020.