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PINPOINT - A multidisciplinary framework for semi-automatic risk assessment in military operations and civilian missions

6 pagesPublished: July 12, 2024

Abstract

We present the PINPOINT project aimed at designing a semi-automated risk assess- ment framework to support decision-making for military operations and civilian missions. These missions typically take place in critical international areas of remote countries with little infrastructure and require specific technical and operational support. To effectively plan and execute risk mitigation strategies, decision-makers require approaches for sys- tematic, comprehensive risk analysis and proposals for measures. During the planning and execution phases, risk analysis must be updated regularly based on available informa- tion derived from Open Source data in combination with reliable and accurate Position-, Navigation- and Timing-Data (PNT) monitoring. The proposed framework focuses on in- novations in the areas of a systematic risk analysis with derived mitigation actions, Open Source Intelligence (OSINT) related to these areas, Artificial Intelligence (AI) technologies for multiple types of sources (sensors, news, social media) and PNT monitoring based on GNSS-data analysis.

Keyphrases: civilian missions, military operations, OSINT, PNT, risk analysis

In: Kenneth Baclawski, Michael Kozak, Kirstie Bellman, Giuseppe D'Aniello, Alicia Ruvinsky and Candida Da Silva Ferreira Barreto (editors). Proceedings of Conference on Cognitive and Computational Aspects of Situation Management 2023, vol 102, pages 172--177

Links:
BibTeX entry
@inproceedings{CogSIMA2023:PINPOINT__multidisciplinary_framework,
  author    = {Gerhard Backfried and Dorothea Thomas-Aniola and Diego Pilutti and Martin Boyer and R\textbackslash{}"udiger Hein and Amir Tatabaei and Michael Zinkanell and Michael Suker and Philipp Agathonos},
  title     = {PINPOINT - A multidisciplinary framework for semi-automatic risk assessment in military operations and civilian missions},
  booktitle = {Proceedings of Conference on Cognitive and Computational Aspects of Situation Management 2023},
  editor    = {Kenneth Baclawski and Michael Kozak and Kirstie Bellman and Giuseppe D'Aniello and Alicia Ruvinsky and Candida Da Silva Ferreira Barreto},
  series    = {EPiC Series in Computing},
  volume    = {102},
  pages     = {172--177},
  year      = {2024},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {https://easychair.org/publications/paper/NwLz},
  doi       = {10.29007/vnzb}}
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