Crowdsourcing data - strategies, tools, and stories.

Outline

  1. The idea of crowdsourcing - what and why. 5
  2. Key questions -
    1. What data to collect?
    2. Whom to collect from?
    3. How to collect?
    4. How to verify?
  3. Stories - 20
    1. Akshara Foundation.
      • Background -
        • 98% of children attend a primary school (and 85% attend a preschool), sadly, however, more than 50% of students in class 5 cannot read a class 2 text and more than 80% of students cannot do simple division in math.
        • creating a new, collective, model of impact between multiple agencies – public, private and governmental – to solve complex challenges in public education.
      • Need for data - understand the situation, make process transparent, hold authorities accountable.
      • What data - infrastructure, academic.
      • Tools - paper forms, IVR, OMR, web.
      • Verification - double entry, randomisation.
      • Cost
    2. Humanitarian OpenStreetMap Team. Typhoon Haiyan
      • Background -
        • OpenStreetMap
        • bridge between the traditional Humanitarian Responders and the OpenStreetMap Community.
      • Need for data - preparing data before a crisis is better than panicking after it.
      • What data - geographic.
      • From whom - volunteers all over the world.
      • Tools - OpenStreetMap, GPS, Satellite imagery, Social media.
      • Verification - validation in the editors, moderation, communication channels.
  4. Discussion. 20

Goodies

  1. Tools
    1. OpenDataKit
    2. FrontlineSMS
    3. Asterisk
    4. Ushahidi
    5. Fulcrum
    6. PyBossa
    7. OpenStreetMap
  2. Reading list
    1. Verification Handbook
    2. OldWeather
    3. Verification Junkie

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