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ReNepal Hackathon 2015 - Info session slides


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ReNepal Hackathon 2015 - Info session slides

  1. 1. Information and collaboration session May 27, 2015 Prof. Omprakash Gnawali (University of Houston) on behalf of the entire organizing team
  2. 2. Theme of this Hackathon • Role of technology and technologists during disaster relief and post-disaster rebuilding, recovery, and reconstruction • Relief = Immediate • Rebuild = Long term
  3. 3. Hackathon Compress your learning and execution in a short 12 or 24 hour session Demo or working prototype is key to learning
  4. 4. Hackathon after Earthquake • Open Street Map • Ushahidi • Crowdsource Reporting • Conjunction with Call Center • Real time view of crisis spots and resources to guide connection Source: -gather-port-au-prince-haitis-first-hackathon
  5. 5. Example: Atlanta Govathon • Polls for Government: Each person has a voice • Adopt a school: Crowdshare the cost • SkillMatch: Match employees and employers with specific skills • Many more … Source:
  6. 6. Ideas from hack4nepal •
  7. 7. Take Aways • Meet your colleagues: This is our community working together to make a better Nepal • Review the example projects for inspiration • Make diverse teams
  8. 8. Logistics Reminders • Remember to form your teams • Remember to research and read about project ideas • Come to the Hackathon 15 minutes early • Bring your sleeping bags (OR NOT)
  9. 9. Team Forming • Try to have a diverse team. • Registrant statistics: o42% Frontend Developers o23% Backend Developers o11% Mobile Developers o10% Designers o13% Other (Hacker, Idea Generator, Python)
  10. 10. Prizes to the Winning Ideas • Cash Prizes o1st place: Rs. 35,000 o2nd place: Rs. 25,000 o3rd place: Rs. 15,000
  11. 11. Ideas • Your idea has to be usable by users (government, relief organizations, volunteers, etc.) • It might be a cool idea, but if there are no users, it does not add value to the community.
  12. 12. Simplicity of Ideas • E.g. Google spreadsheet, Google forms was very useful in coordinating the efforts during the relief efforts. Make no mistake, these are complex tools (technologically speaking) but are tools that are readily available and are intuitive and easy to use • This means do not go for some complicated solution just because it is technologically sophisticated. E.g. advanced machine learning system, computer vision system, etc.
  13. 13. Ecosystem • Identify risks for adoption (this is a startup perspective) • Technical risk is usually not that risky • Is your product usable? • Is your product serving a need? • Will the users adopt your product? • Does the model work?
  14. 14. Few Last Tips… • Don’t reinvent • Specialize instead of targeting a broad category • E.g. Uber: it is a USD 40 billion dollar company, it specializes on one need: get you a ride, it is usable. It does one thing and does it well! • Don’t think about creating a broad category of products