The document discusses collaboration in disease surveillance and response. It describes InSTEDD's hybrid approach to disease surveillance which combines various data sources to identify health risks. It also discusses tools developed by InSTEDD like GeoChat and Mesh4x that enable real-time information sharing and collaboration between organizations responding to disease outbreaks. The document emphasizes that collaboration is critical for effective outbreak containment and humanitarian response.

1. Collaboration In Disease Surveillance & Response Dennis Israelski, M.D. Dir. of Programs Eduardo Jezierski, Dir. of Engineering

3. After the tsunami in Banda Aceh: A city leveled, and only one bar of cell signal

4. In our view, collaboration , in outbreak containment and humanitarian action, is THE critical task Refugee management Cholera outbreak Katrina response

5. Economic Impact of Recent Epidemics (12 listed, and all but one zoonotic) Avian Flu, EU $500m 1996 1997 1998 1999 2000 2001 2002 2003 $50bn $40bn $30bn $20bn $10bn Estimated costs BSE, UK $10-13bn Foot & Mouth Disease Taiwan, $5-8bn 1992 1993 1994 1995 Foot-and-Mouth Disease UK $30bn Avian Flu Asia, US, Canada $10bn (2004-now) 2004 BSE, US $3.5bn BSE, Canada $1.5bn Lyme disease US $2.5bn SARS China, Hong Kong, Singapore, Canada… $50bn+ Nipah, Malaysia $350-400m Swine Flu, Netherlands $2.3bn BSE, Japan 1.5bn © Graphic from "SARS and the New Economics of Bio-Security", by James Newcomb, Managing Director, Research for Bio Economic Research Associates, LLC or bio-era in 2003.

7. Steung Treng Province, northern Cambodia May 2008

8. From a faint signal to collective action Merge & Analyze Media Journals ICS Operations Collective understanding Event Characterization Response initiation Realtime feedback Immediate analysis & Decision making capacity Peer- to –peer information sharing and collaboration Informed collective action Realtime feedback and coordination Proactive education & preparation

16. Collaborative Analytics Article feature extraction Tags Content – in Riff Metadata Comments Location Flags/Alerts/Bookmarks Environment Factors Phylogenetics Remote Sensing Event Classification and Detection Previous Event Training Data Previous Event Control Data Metadata extraction Other reference information Machine Learning Show event characterizations Social network acting on item Other information Open Media Professional network feedback Professional Feedback Anomaly Detection Riff Spaces InSTEDD Event Characterization & Detection Bot

17. InSTEDD Field Lab Participatory ethnography meets natural selection We learn there by failing fast and failing often. In the end, we hope the tools we select will be: more robust, more reliable, and easier to use.

19. Don’t reinvent the wheel Develop & share Partner, influence & contribute Integrate & extend existing components Use & recommend Existing Solutions Examples KML, Feedsync, Open Street Maps, Integrate BT w21c SMS with Google Maps, SMSLib with Mesh4x, transformers & adapters Contribute to SMSLib, javaROSA, etc Platform components OSS project creation Scout, search, integrate & extend, before building. When building, share and actively involve adopters in the process

20. Innovation Lab in Phnom Penh Beyond Local Sustainability…. … to Sustainable Local Innovation Cross Discipline Experts Unforeseen ideas Cultural fit Global Public Health experience Human Factors & Design Innovative tools & services Epidemiologists Anthropologists Broader adoption Better cross sector coordination Research Developing Engineers Global applicability

21. Thank you! http://instedd.org [email_address] [email_address]

22. Requirements we’ve run into

23. Using consumer technologies in times of crisis Microblogging – post text messages, subscribe to friends and colleagues, real-time information Send text messages to all followers or directed to specific people, in the open or privately Social Networking – Graphs of people, trust and information Control who gets access to information and infer relevance based on that ‘who’ Mapping, imagery, and 2D / 3D map modeling Rapidly assess a situation, then add information that other tools can use to enhance an understanding of ‘where’ US & UK SMS Only Web signup required www.istwitterdown.com Web-only, not applicable to austere environments, privacy & security concerns, restrictive interop EULA Great for visualizing, hard to interact No offline mode When will it become OSS?

24. Using consumer technologies in times of crisis Microblogging – post text messages, subscribe to friends and colleagues, real-time information Used extensively by some fire departments, some journalists Social Networking – Graphs of people, trust and information Control who gets access to information and infer relevance based on that ‘who’ Mapping, imagery, and 2D / 3D map modeling Rapidly assess a situation, then add information that other tools can use to enhance an understanding of ‘where’ US & UK SMS Only Web signup required www.istwitterdown.com Web-only, not applicable to austere environments, privacy & security concerns Great for visualizing, hard to interact, Not OSS Area Commercial Systems Humanitarian & Health systems Privacy breach Annoying Life-threatening Usability Always a plus! Overworked, underpaid, untrained, and tired users Coordination & Process Integration Centralized Workflows No overarching authority; dynamic dependencies; collaborate in context of conflicting agendas Data Integration Hierarchical replication, high bandwidth Dynamic, whenever/however possible Infrastructure Central governance, slow-moving, slack capacity End-user driven, dynamic, no excess capacity Agility IT dictates user behavior. Long & expensive dev cycles Users can wait to get features from engineering Need to empower local users to innovate on & beyond existing solutions – Customization, Extensibility, Interoperable by design