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SS20 - Trust in Fused Information

The volumes of information streamed and collected from disparate sources have increased dramatically in recent years. Fusing such multimodal information have increased the decision maker's ability to make informed decision in rapidly changing and complex environments which otherwise would not have been possible if the information were taken individually. Whilst such approaches have drawn a considerable attention from the community, the trustworthiness of the fused information stands as a critical issue yet to be addressed.

Following a successful session in Fusion 2013, this special session will focus on how different strands of knowledge can be processed, analysed, and combined to model trust in information and how such models can be exploited to improve the trustworthiness of the fused information. The purpose of this special session is to highlight different aspects of information fusion and trust research from coalition's (or decision maker's) perspectives and to discuss about the interesting topics in trust and information fusion in the wider context.

Topics of interest

  • Data-to-Decision frameworks
  • Modelling trust in information and sources
  • Stream reasoning and trust
  • Detecting and reasoning about conflicts in information
  • Trust-based fusion in Dempster-Shafer Theory, Transferable Belief Model, Subjective Logic, etc.


Trust estimation and modelling, Trust-based fusion, Trust and evidential reasoning, Trust metrics for reliable fusion, Conflict detection and resolution, Reliability in information fusion

Special Session Organizers

  • Murat Sensoy, Ozyegin University (Turkey)
  • Geeth de Mel, IBM T J Watson Research Center (USA)
  • Lance Kaplan, U.S. Army Research Laboratory, Adelphi, MD (USA)
  • Tien Pham, U.S. Army Research Laboratory, Adelphi, MD (USA)

Special Session Contact

  • Murat Sensoy ()