Breakout: Citizen Response and Social Networking
Facilitator: Jeannie Stamberger
Scribe: Terry Fong
Rapporteur: Trey Smith
The theme of this session is "tools to empower citizen responders". We will present some issues or challenges that could drive future DMI research, and group discussions will ensue to help triage the list and suggest ways to study these issues. For example, we'd like to know about organizations and exercises in the responder community that could support good case studies. Here's a preliminary list of presentation topics:
* Engagement (Luke Beckman , InSTEDD)
* Key: system-utility = utility-per-user * number-of-users
* What key factors cause some tools to "go viral" while others are not adopted?
* How to minimize install effort so system is there when needed?
* How to encourage users to become contributors?
* Usefulness (Trey Smith, NASA)
* Do social networks need to incorprate control of who knows what information to increase data utility? (information needs may vary by community and disaster type)
* How do people find actionable information for their situation?
* How do we maximize value-per-effort for contributors?
* Social Networks (Randi Zuckerberg, Facebook)
* How to give active users a sense of trust and community ownership, when social tools are creating information that needs to be shared outside the social network?
* How to avoid surprising / upsetting users? (e.g. data disclosure)
* How can disaster response aspects of social networks increase social trust?
* What unique inftrastructure and support requirements are necessary for relying on social networking tools during disasters?
* Information Streams (Brent Woodworth, Sahana)
* How to merge potentialy conflicting data streams from different social networks?
* What are the sociopolitical and technical difficulties with integrating citizen generated data into professional responder decision making?
* How can common operating pictures become tools as a social tool?
* Accuracy of information (Jeannie Stamberger, Carnegie Mellon Silicon Valley)
* How to increase the accuracy of the data reported from the ground?
* How to analyze reliability? (end-to-end: training, tools, comms...)
* How to test tools, given infrequent disasters?