Designing for                 the Crowd                Designing apps that tap on the              dynamic interactions of...
Sum ofthe parts
1 single person      with enough time• Mapping• Categorizing• Describing
Greater than the sum?
Collective sum of time Emergent Dynamics
Prediction MarketsHollywood Stock Exchange“In 2006 HSX.comcorrectly predicted32 out of 39 big-category Oscarnominees and 7...
Forecasting      presidential elections    • All but 1 candidate predicted between 1868       and 1940    • Iowa Electroni...
Wisdom of the Crowd•   Jack Treynor’s Jelly Bean experiment•   Michael Mauboussin (2007) - 73    Columbia Business School ...
Collaborative Design     Quirky.com
Quirky.com
Quirky.com
Competitions- Fold.it
Alternate Reality Games    World Without Oil
Evolutionary Crowd
PicBreeder.org
Crowd-Apps Design          =    Game Design          +   Market Economy          +Evolutionary Computing          +  Behav...
Ideas?Nicolás di Tadanditada@instedd.org@nditada
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Designing for the crowd

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During most of it's history, software design has basically tackled the problem of creating tools that enable single users to perform a set of tasks in order to achieve a specific, predetermined goal. Though potentially large numbers of users could be using the same system, the process of getting to a result is reached through tasks performed by individual users. The advent of crowdsourcing (using the broad definition of the word), has so far mostly split large tasks in smaller pieces that can be then distributed among a big number of people, something also known as micro-tasking. Succesful examples like Amazon Mecahical Turk abound, but in almost all of the cases, the nature of the goal is directly de-composed into the tasks, meaning that the whole will never be greater than the sum of the parts. I suggest that by taking an interdisciplinary approach and learning from game design, system thinking, genetic programming, market economy and behavioural sciences a new breed of systems could emerge that would tap in the power of the crowd in interesting new ways. By designing systems built on rule-based models and allowing for emergent behaviours, the exploration of much more complex and less deterministic problems could be possible, including many of the world most pressing challenges. I propose to analyze a few preliminary examples and suggest ideas for further exploration.

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  • Designing for the crowd

    1. 1. Designing for the Crowd Designing apps that tap on the dynamic interactions of the crowdNicolás di Tadanditada@instedd.org@nditada
    2. 2. Sum ofthe parts
    3. 3. 1 single person with enough time• Mapping• Categorizing• Describing
    4. 4. Greater than the sum?
    5. 5. Collective sum of time Emergent Dynamics
    6. 6. Prediction MarketsHollywood Stock Exchange“In 2006 HSX.comcorrectly predicted32 out of 39 big-category Oscarnominees and 7 outof 8 top categorywinners”
    7. 7. Forecasting presidential elections • All but 1 candidate predicted between 1868 and 1940 • Iowa Electronic Market (IEM) (University of North Carolina)http://www.unc.edu/~cigar/papers/BettingPaper_10Nov2003_long2.pdf
    8. 8. Wisdom of the Crowd• Jack Treynor’s Jelly Bean experiment• Michael Mauboussin (2007) - 73 Columbia Business School students:• Guesses: 250 - 4,100• Average error: 700 (62%)• Actual number: 1,116.• Average guess:1,151 — just 3% off
    9. 9. Collaborative Design Quirky.com
    10. 10. Quirky.com
    11. 11. Quirky.com
    12. 12. Competitions- Fold.it
    13. 13. Alternate Reality Games World Without Oil
    14. 14. Evolutionary Crowd
    15. 15. PicBreeder.org
    16. 16. Crowd-Apps Design = Game Design + Market Economy +Evolutionary Computing + Behavioral Science
    17. 17. Ideas?Nicolás di Tadanditada@instedd.org@nditada

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