Managing Social Dynamics for Collective Intelligence
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Managing Social Dynamics for Collective Intelligence

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Presentation for Collective Intelligence conference at MIT, 4/19-20/2012, File name:...

Presentation for Collective Intelligence conference at MIT, 4/19-20/2012, File name:
Collective intelligence 2012-shneiderman-v2
Covers policy issues for social media research, mention of our work and intro to NodeXL

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Managing Social Dynamics for Collective Intelligence Managing Social Dynamics for Collective Intelligence Presentation Transcript

  • Managing the Social Dynamics of Collective Intelligence Ben Shneiderman ben@cs.umd.edu Twitter: @benbendc Founding Director (1983-2000), Human-Computer Interaction Lab Professor, Department of Computer Science Member, Institute for Advanced Computer Studies
  • Apply social media to transform society • Improve medical care, health/wellness • Promote energy & water conservation • Prevent disasters & terrorism • Increase community safety • Improve education • Facilitate good government • Resolve conflicts
  • Challenges • Malicious attacks • Privacy violations • Not trusted • Fails to be universal • Unreliable when needed • Misuse by • Terrrorists & criminals • Promoters of racial hatred • Political oppressers View slide
  • Early Steps Informal Gathering College Park, MD, April 2009 Article: Science March 2009BEN SHNEIDERMAN http://iparticipate.wikispaces.com View slide
  • NSF Workshops: Academics, Industry, Gov’t Jenny Preece (PI), Peter Pirolli & Ben Shneiderman (Co-PIs) www.tmsp.umd.edu
  • Cyberinfrastructure for Social Action on National Priorities - Scientific Foundations - Advancing Design of Social Participation Systems - Visions of What is Possible With Sharable Socio-technical Infrastructure - Participating in Health 2.0 - Educational Priorities for Technology Mediated Social Participation - Engaging the Public in Open Government: Social Media Technology and Policy for Government Transparency
  • Aspen Institute: Networks and Citizenship
  • Summer Social Webshop: August 23-26, 2011
  • Summer Social Webshop: August 23-26, 2011
  • Collective Intelligence 2012
  • Collective Intelligence 2012
  • International Efforts Community Informatics Research Network
  • UN Millennium Development GoalsTo be achieved by 2015 and hunger• Eradicate extreme poverty • Achieve universal primary education • Promote gender equality and empower women • Reduce child mortality • Improve maternal health • Combat HIV/AIDS, malaria and other diseases • Ensure environmental sustainability • Develop a global partnership for development
  • Vision: Social Participation 1) National Priorities • Disaster response, community safety • Health, energy, education, e-government • Environmental awareness, biodiversity 2) Deep Science • How do social media networks evolve? • How can participation be increased? 3) Extreme Technology • Scalable, reliable, universal, manageable • Protect privacy, stop attacks, resolve conflicts
  • 911.gov: Internet & mobile devices Sending SMS message to 911,• Residents report information includes your phone number, location and time• Professionals disseminate instructions• Resident-to-Resident assistance Professionals in control while working with empowered residents Shneiderman & Preece, Science (Feb. 16, 2007) www.cs.umd.edu/hcil/911gov
  • 911.gov: Internet & mobile devices Sending SMS message to 911,• Residents report information includes your phone number, location and time• Professionals disseminate instructions• Resident-to-Resident assistance Professionals in control while working with empowered residents Shneiderman & Preece, Science (Feb. 16, 2007) www.cs.umd.edu/hcil/911gov
  • Reporting: Community Safetywatchjeffersoncounty.net  nationofneighbors.net
  • Biodiversity: Encyclopedia of Life eol.org
  • From Reader to Leader:Motivating Technology-Mediated Social Participation AllUsers Reader Contributor Collaborator ` Leader Preece & Shneiderman, AIS Trans. Human-Computer Interaction1 (1), 2009 aisel.aisnet.org/thci/vol1/iss1/5/
  • NodeXL:Network Overview for Discovery & Exploration in Excel www.codeplex.com/nodexl
  • NodeXL: Import Dialogs www.codeplex.com/nodexl
  • Tweets at #WIN09 Conference: 2 groups
  • Twitter discussion of #GOP Red: Republicans, anti-Obama, mention Fox Blue: Democrats, pro-Obama, mention CNN Green: non-affiliated Node size is number of followers Politico is major bridging group
  • WWW2010 Twitter Community
  • WWW2011 Twitter Community: Grouped
  • #Healthcare Tweets www.codeplex.com/nodexl/
  • Twitter networks: #SOTU
  • Twitter networks: #ci2012 (10:30am)
  • Twitter networks: #ci2012 (3:15pm)
  • CHI2010 Twitter Community www.codeplex.com/nodexl/
  • Figure 7.11. : Lobbying Coalition Network connecting organizations (vertices) that have jointly filed comments on US Federal Communications Commission policies (edges). Vertex Size representsnumber of filings and color represents Eigenvector Centrality (pink = higher). Darker edges connect organizations with many joint filings. Vertices were originally positioned using Fruchterman-Rheingold and hand-positioned to respect clusters identified by NodeXL’s Find Clusters algorithm.
  • No Location Philadelphia Patent Tech Navy SBIR (federal) PA DCED (state) Related patent 2: Federal agencyPharmaceutical/Medical 3: EnterprisePittsburgh Metro 5: Inventors 9: Universities 10: PA DCED 11/12: Phil/Pitt metro cnty 13-15: Semi-rural/rural cnty 17: Foreign countries 19: Other statesWestinghouse Electric
  • No Location Philadelphia Innovation Clusters: People, Locations, Companies Patent Tech Navy SBIR (federal) PA DCED (state) Related patent 2: Federal agencyPharmaceutical/Medical 3: EnterprisePittsburgh Metro 5: Inventors 9: Universities 10: PA DCED 11/12: Phil/Pitt metro cnty 13-15: Semi-rural/rural cnty 17: Foreign countries 19: Other statesWestinghouse Electric
  • Analyzing Social Media Networks with NodeXL I. Getting Started with Analyzing Social Media Networks 1. Introduction to Social Media and Social Networks 2. Social media: New Technologies of Collaboration 3. Social Network Analysis II. NodeXL Tutorial: Learning by Doing 4. Layout, Visual Design & Labeling 5. Calculating & Visualizing Network Metrics 6. Preparing Data & Filtering 7. Clustering &Grouping III Social Media Network Analysis Case Studies 8. Email 9. Threaded Networks 10. Twitter 11. Facebook 12. WWW 13. Flickr 14. YouTube 15. Wiki Networkshttp://www.elsevier.com/wps/find/bookdescription.cws_home/723354/description
  • Leaders Matter: Community Safety Groups 25 communities, 5-72 registered membersActive leaders were necessary for growth and survival Sopan, Rey, et al. HCIL Tech Report
  • Conference Monitoring & Intervention 3000+ tweets with #Ttw12 from 447 unique IDs Sopan, Rey, et al. HCIL Tech Report
  • Social Discovery: Create Capacity & Seek Solutions Social Create Seek Discover Capacity Solutions y Assemble Ask questions Initiate thesauri Offer challenge Requests Collate catalogs Desire Aggregate info collaboration Curate collections Seek experts Tag/taxonomize Give answers Provide Comment/annotat Respond to Respons e challenge es Rank/rate/review Discuss Summarize alternatives Offer advice Information Services & Use 31 (2011)
  • 29th Annual Symposium May 22-23, 2012 www.cs.umd.edu/hcil
  • Vision: Social Participation 1) National Priorities • Disaster response, community safety • Health, energy, education, e-government • Environmental awareness, biodiversity 2) Deep Science • How do social media networks evolve? • How can participation be increased? 3) Extreme Technology • Scalable, reliable, universal, manageable • Protect privacy, stop attacks, resolve conflicts
  • Let’s get to work!• Do great research!!!!  Inspirational• Government • National Initiative for Social Participation • Develop Federal & Local applications• Universities • Add courses & degree programs • Help Federal & Local governments• Industry • Offer researchers access to data • Develop infrastructure and analysis tools