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Discovery Informatics Workshop Social Computing Challenges DRAFT

Discovery Informatics Workshop Social Computing Challenges DRAFT. Social Computing Challenges (I). Developing a taxonomy of human computation approaches Develop theory of augmented distributed cognition Develop incentives to encourage scientists to adopt social computing techniques

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Discovery Informatics Workshop Social Computing Challenges DRAFT

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  1. Discovery Informatics WorkshopSocial Computing Challenges DRAFT

  2. Social Computing Challenges (I) • Developing a taxonomy of human computation approaches • Develop theory of augmented distributed cognition • Develop incentives to encourage scientists to adopt social computing techniques • Develop techniques to make social computing methods reliable and trustworthy • Expand the use of social computing methods to include new ways of producing, communicating, and ‘reviewing’ scientific results

  3. Social Computing Challenges (II) • Create more effective ‘augmented human-computer teams’ • Track / understand goals, beliefs of people and systems • Develop catalog of incentives that motivate people to participate in various circumstances • Effective communication among the team members • Visualization • Shared representations • Diversity • Norms of behavior • Sanctions for bad behavior • One approach: partnering human creativity and brute force computational (4-color problem)

  4. Social Computing Challenges (III) • Collaborative Knowledge Creation – new affordances • Citizen Science / Human Computation – understand motivations and roles and possible types of contributions • Social activity monitoring and data mining (ala Google Flu Trends) • Build a design science for human computation systems for scientific discovery • Need to analyze lots of data points, success and failure stories • Create techniques to engage retired scientists and engineers in ongoing work • Make sure we analyze what scientists actually do

  5. Social Computing: Discussion Topics (II) • Defining workflows with more elaborate processes that mix human processing with computer processing • Humans to do more complex tasks • Can facilitate reproducibility • Enticing people to participate while ensuring quality • Some existing systems should be revisited to be designed as social systems • Workflow libraries and reuse tools • Data curation tools • Open software

  6. Social Computing: Discussion Topics (III) • Systems that enable collaborations that are not deliberate but ad-hoc • Opportunistic partnerships • Unexpected uses of data • Systems that support a marketplace of ideas and track credit • New ideas/discoveries are often seen as a threat to the status quo, how do we facilitate integration • Empower people to share ideas on a problem while credited • Incentive structures for new models of scholarly communication, such as blogs

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