Second International Workshop on Social Sensing (SocialSens 2017), Pittsburgh, USA


Social sensing has emerged as a new paradigm for collecting sensory measurements by means of “crowd-sourcing” sensory data collection tasks to a human population. Humans can act as sensor carriers (e.g., carrying GPS devices that share location data), sensor operators (e.g., taking pictures with smart phones), or as sensors themselves (e.g., sharing their observations on Twitter). The proliferation of sensors in the possession of the average individual, together with the popularity of social networks that allow massive information dissemination, heralds an era of social sensing that brings about new research challenges and opportunities in this emerging field.

The second international workshop on social sensing will bring together researchers and engineers from academia, industry, and government to present recent advances in both theoretical and experimental research. The scope of the workshop includes social sensing, ubiquitous, mobile and pervasive sensing, participatory and opportunistic sensing, urban sensing, social signal processing, information and coding theory, information processing and knowledge discovery from sensor data, data reliability, privacy and security issues, cyber-physical-systems with human-in-the-loop. We invite two types of contributions: (i) technical papers describing original ideas, exciting results, and/or real-world experiences involving the social sensing paradigm, and (ii) position abstracts describing innovative future visions for research directions in the field of social sensing. Please refer to submission guidelines for details on format.

Topics of interest include but are not limited to the following:

  • Social sensing
  • Ubiquitous, mobile and pervasive sensing
  • Participatory and opportunistic sensing
  • Urban sensing
  • Data reliability in social sensing
  • Privacy and security in social sensing
  • Social networks as sensor networks
  • Social signal processing
  • Information and coding theory
  • Information processing and knowledge discovery from sensor data
  • Sensing unstructured data
  • Cyber-physical-systems with human-in-the-loop
  • Machine learning on social sensing data