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Summer Social Webshop:
Technology-Mediated Social Participation

         Jennifer Preece   Ben Shneiderman
          preece@umd.edu   ben@cs.umd.edu
             @jenpre          @benbendc
Interdisciplinary research community
  - Computer Science & Info Studies
    - Socio, Psych, Poli Sci & MITH
         (www.cs.umd.edu/hcil)
HCI Pride: Serving 5B Users

Mobile, desktop, web, cloud
 Users: novice/expert, young/old, literate/illiterate,
   abled/disabled, cultural, ethnic & linguistic diversity, gender,
   personality, skills, motivation, ...

 Applications: E-commerce, law, health/wellness,
   education, creative arts, community relationships, politics,
   IT4ID, policy negotiation, mediation, peace studies, ...

 Interfaces: Ubiquitous, pervasive, embedded, tangible,
    invisible, multimodal, immersive/augmented/virtual, ambient,
    social, affective, empathic, persuasive, ...
Goal: Next 50 years

Apply social media to transform society

•   Reduce medical errors, obesity & smoking
•   Promote resource & biodiversity 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
Early Steps

                  Informal Gathering
          College Park, MD, April 2009


  Article: Science March 2009



BEN SHNEIDERMAN




                                         http://iparticipate.wikispaces.com
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
International Efforts


  Community Informatics
    Research Network




              intlsocialparticipation.net
UN Millennium Development Goals

To be achieved by 2015
  • Eradicate extreme poverty and hunger
  • 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
Social Participation: Webshop Goals

1) Clarify national priorities
2) Develop deep science questions
   motivation, trust, empathy, responsibility, identity, etc.
3) Promote novel research methodologies
   large-scale interventions, ethnographic methods,
   big data analysis & visualization
4) Identify extreme technology challenges
   security, privacy, scalability, universality, etc.
5) Influence national policy
6) Increase educational opportunities
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: Earthquakes & Storms




earthquake.usgs.gov/eqcenter/dyfi   weather.kimt.com
Reporting: Local incidents




watchjeffersoncounty.net
  nationofneighbors.net
Disaster Response: Wildfires
Community Safety: Abducted Children




   www.ncmec.org
www.missingkids.com

                      www.amberalert.gov
Healthcare & Wellness
Doctor-to-Doctor Networks
Energy Sustainability




           Energystar.gov
Serve.gov: Voluntary service




   Register Your Project & Recruit Volunteers
   Find a Volunteer Opportunity
   Read Inspiring Stories of Service & Share Your Own Story
Open Data.gov + Recovery.gov
Network Theories: Evolution models


 •   Random, preferential attachment,…
 •   Monotonic, bursty,…
 •   Power law for degree (hubs & indexes)
 •   Small-world property
 •   Forest fire, spreading activation,…
 •   Matures, decays, fragments, …


     Watts & Strogatz, Nature 1998; Barabasi, Science 1999, 2009;
                   Newman, Phys. Rev. Letters 2002
                  Kumar, Novak & Tomkins, KDD2006
             Leskovec, Faloutsos & Kleinberg, TKDD2007
NodeXL:
Network Overview for Discovery & Exploration in Excel




            www.codeplex.com/nodexl
         casci.umd.edu/NodeXL_Teaching
NodeXL:
    Network Overview for Discovery & Exploration in Excel




www.codeplex.com/nodexl
NodeXL: Import Dialogs




  www.codeplex.com/nodexl
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 Networks




http://www.elsevier.com/wps/find/bookdescription.cws_home/723354/description
Social Media Research Foundation




               Social Media Research Foundation
                       smrfoundation.org


     We are a group of researchers who want to create
     open tools, generate and host open data, and
     support open scholarship related to social media.



                    smrfoundation.org
Extreme Technology

• Mobile, Desktop, Web, Cloud
• 100% uptime, 100% secure
• Giga-collabs, Tera-contribs
• Universal accessibility & usability
• Trust, empathy, responsibility, privacy
• Leaders can manage usage
• Designers can continuously improve
Network Theories: Social science

 • Relationships & roles
 • Strong & weak ties
 • Motivations: egoism, altruism, collectivism,
      principlism
 •   Collective intelligence
 •   Collective action & governance
 •   Social information foraging


     Moreno, 1938; Granovetter, 1971; Burt, 1987; Ostrom, 1992;
          Wellman, 1993; Batson, Ahmad & Tseng, 2002;
        Malone, Laubaucher & Dellarocas, 2009; Pirolli, 2009
Network Theories: Stages of participation

Wikipedia, Discussion & Reporting
• Reader
• First-time Contributor
        (Legitimate Peripheral Participation)
•    Returning Contributor
•    Frequent Contributor



                  Preece, Nonnecke & Andrews, CHB2004
             Forte & Bruckman, SIGGROUP2005; Hanson, 2008
                 Porter: Designing for the Social Web, 2008
    Vassileva, 2002, 2005; Ling et al., JCMC 2005; Rashid et al., CHI2006
Biodiversity: Encyclopedia of Life




                 eol.org
The biodiversity crisis
A crisis in science
Citizen science




                                                      Photo credit: Mary

                                       NA Butterfly Association
                                        Fourth of July Count


         Photo credit: Cornell Univ.

Audubon Christmas Bird Count
The Encyclopedia of Life


Imagine an electronic page for each
species of organism on Earth.
EOL is a content curation community


Content providers
         Databases               Curating
          Journals
         LifeDesks
    Public contributions          Commenting
                                    Tagging




                    http://www.eol.org
EOL statistics

•   100+ partner databases
    700 curators/1000s contributors/46,000 members
•   2.8 million pages
    500 thousand pages with Creative Commons content
•   Over 2 million data objects and >1 million pages with
    links to research literature
•   Traffic in past year: 1.7 million unique users, 6.2 million
    page views
BioTracker system architecture


   Mobile Devices                   Community                           Computational
with BioTracker app      upload       Portal             user              Tools                      Possible
         Camera                      Profiles, groups,   input             Image database
                         image                                                                          new
   Internet connection              and species pages                    Shape descriptors
 Match recommendations                                                                                species
                                          Images,        accuracy   Image segmentation algorithm
     Q&A component                Identifications, Maps, estimate    Image recognition algorithm
      Biotracks map                Threaded discussion                    Inference system

      Photos,
     Biocaching                       answers
        and
    commentary                          information collection, clarification questions
                                                                                                                 identification
                                                                                                                 and upload


                  Enthusiasts                                                                      Scientists
Research questions

•   Q1 How can a socially intelligent system be
    used to direct human effort and expertise to the
    most valuable collection and classification
    tasks?

•   Q2 What are the most effective strategies for
    motivating enthusiasts and experts to voluntarily
    contribute and collaborate?
Scientists and volunteers

    "Scientists often have an aversion to what
     nonscientists say about science” (Salk, 1986)

Collaboration is based on several factors:
• Shared vocabulary, practices, and meanings
• Mutual recognition of knowledge, competency,
  and prestige
• Motivation to collaborate
From Reader to Leader:
 Motivating Technology-Mediated Social Participation




 All                                                         Collaborator
Users                Reader               Contributor                       `    Leader




        Preece & Shneiderman, AIS Trans. Human-Computer Interaction1 (1), 2009
                      aisel.aisnet.org/thci/vol1/iss1/5/
Social Participation: Webshop Goals

1) Clarify national priorities
2) Develop deep science questions
   motivation, trust, empathy, responsibility, identity, etc.
3) Promote novel research methodologies
   large-scale interventions, ethnographic methods,
   big data analysis & visualization
4) Identify extreme technology challenges
   security, privacy, scalability, universality, etc.
5) Influence national policy
6) Increase educational opportunities
Let’s get to work!
•   Do great research!!!!  Inspirational

•   Universities
     • Add courses & degree programs
     • Help Federal & Local governments
•   Industry
     • Offer researchers access to data
     • Develop infrastructure and analysis tools
•   Government
     • National Initiative for Social Participation
     • Develop Federal & Local applications
Wikipedia

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Summer Social Webshop: Technology-Mediated Social Participation

  • 1. Summer Social Webshop: Technology-Mediated Social Participation Jennifer Preece Ben Shneiderman preece@umd.edu ben@cs.umd.edu @jenpre @benbendc
  • 2. Interdisciplinary research community - Computer Science & Info Studies - Socio, Psych, Poli Sci & MITH (www.cs.umd.edu/hcil)
  • 3. HCI Pride: Serving 5B Users Mobile, desktop, web, cloud  Users: novice/expert, young/old, literate/illiterate, abled/disabled, cultural, ethnic & linguistic diversity, gender, personality, skills, motivation, ...  Applications: E-commerce, law, health/wellness, education, creative arts, community relationships, politics, IT4ID, policy negotiation, mediation, peace studies, ...  Interfaces: Ubiquitous, pervasive, embedded, tangible, invisible, multimodal, immersive/augmented/virtual, ambient, social, affective, empathic, persuasive, ...
  • 4. Goal: Next 50 years Apply social media to transform society • Reduce medical errors, obesity & smoking • Promote resource & biodiversity conservation • Prevent disasters & terrorism • Increase community safety • Improve education • Facilitate good government • Resolve conflicts
  • 5. Challenges • Malicious attacks • Privacy violations • Not trusted • Fails to be universal • Unreliable when needed • Misuse by • Terrrorists & criminals • Promoters of racial hatred • Political oppressers
  • 6. Early Steps Informal Gathering College Park, MD, April 2009 Article: Science March 2009 BEN SHNEIDERMAN http://iparticipate.wikispaces.com
  • 7. NSF Workshops: Academics, Industry, Gov’t Jenny Preece (PI), Peter Pirolli & Ben Shneiderman (Co-PIs) www.tmsp.umd.edu
  • 8. 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
  • 9. International Efforts Community Informatics Research Network intlsocialparticipation.net
  • 10. UN Millennium Development Goals To be achieved by 2015 • Eradicate extreme poverty and hunger • 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
  • 11. Social Participation: Webshop Goals 1) Clarify national priorities 2) Develop deep science questions motivation, trust, empathy, responsibility, identity, etc. 3) Promote novel research methodologies large-scale interventions, ethnographic methods, big data analysis & visualization 4) Identify extreme technology challenges security, privacy, scalability, universality, etc. 5) Influence national policy 6) Increase educational opportunities
  • 12. 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
  • 13. Reporting: Earthquakes & Storms earthquake.usgs.gov/eqcenter/dyfi weather.kimt.com
  • 16. Community Safety: Abducted Children www.ncmec.org www.missingkids.com www.amberalert.gov
  • 19. Energy Sustainability Energystar.gov
  • 20. Serve.gov: Voluntary service Register Your Project & Recruit Volunteers Find a Volunteer Opportunity Read Inspiring Stories of Service & Share Your Own Story
  • 21. Open Data.gov + Recovery.gov
  • 22. Network Theories: Evolution models • Random, preferential attachment,… • Monotonic, bursty,… • Power law for degree (hubs & indexes) • Small-world property • Forest fire, spreading activation,… • Matures, decays, fragments, … Watts & Strogatz, Nature 1998; Barabasi, Science 1999, 2009; Newman, Phys. Rev. Letters 2002 Kumar, Novak & Tomkins, KDD2006 Leskovec, Faloutsos & Kleinberg, TKDD2007
  • 23. NodeXL: Network Overview for Discovery & Exploration in Excel www.codeplex.com/nodexl casci.umd.edu/NodeXL_Teaching
  • 24. NodeXL: Network Overview for Discovery & Exploration in Excel www.codeplex.com/nodexl
  • 25. NodeXL: Import Dialogs www.codeplex.com/nodexl
  • 26. 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 Networks http://www.elsevier.com/wps/find/bookdescription.cws_home/723354/description
  • 27. Social Media Research Foundation Social Media Research Foundation smrfoundation.org We are a group of researchers who want to create open tools, generate and host open data, and support open scholarship related to social media. smrfoundation.org
  • 28. Extreme Technology • Mobile, Desktop, Web, Cloud • 100% uptime, 100% secure • Giga-collabs, Tera-contribs • Universal accessibility & usability • Trust, empathy, responsibility, privacy • Leaders can manage usage • Designers can continuously improve
  • 29. Network Theories: Social science • Relationships & roles • Strong & weak ties • Motivations: egoism, altruism, collectivism, principlism • Collective intelligence • Collective action & governance • Social information foraging Moreno, 1938; Granovetter, 1971; Burt, 1987; Ostrom, 1992; Wellman, 1993; Batson, Ahmad & Tseng, 2002; Malone, Laubaucher & Dellarocas, 2009; Pirolli, 2009
  • 30. Network Theories: Stages of participation Wikipedia, Discussion & Reporting • Reader • First-time Contributor (Legitimate Peripheral Participation) • Returning Contributor • Frequent Contributor Preece, Nonnecke & Andrews, CHB2004 Forte & Bruckman, SIGGROUP2005; Hanson, 2008 Porter: Designing for the Social Web, 2008 Vassileva, 2002, 2005; Ling et al., JCMC 2005; Rashid et al., CHI2006
  • 31.
  • 34. A crisis in science
  • 35. Citizen science Photo credit: Mary NA Butterfly Association Fourth of July Count Photo credit: Cornell Univ. Audubon Christmas Bird Count
  • 36. The Encyclopedia of Life Imagine an electronic page for each species of organism on Earth.
  • 37. EOL is a content curation community Content providers Databases Curating Journals LifeDesks Public contributions Commenting Tagging http://www.eol.org
  • 38. EOL statistics • 100+ partner databases 700 curators/1000s contributors/46,000 members • 2.8 million pages 500 thousand pages with Creative Commons content • Over 2 million data objects and >1 million pages with links to research literature • Traffic in past year: 1.7 million unique users, 6.2 million page views
  • 39. BioTracker system architecture Mobile Devices Community Computational with BioTracker app upload Portal user Tools Possible Camera Profiles, groups, input Image database image new Internet connection and species pages Shape descriptors Match recommendations species Images, accuracy Image segmentation algorithm Q&A component Identifications, Maps, estimate Image recognition algorithm Biotracks map Threaded discussion Inference system Photos, Biocaching answers and commentary information collection, clarification questions identification and upload Enthusiasts Scientists
  • 40. Research questions • Q1 How can a socially intelligent system be used to direct human effort and expertise to the most valuable collection and classification tasks? • Q2 What are the most effective strategies for motivating enthusiasts and experts to voluntarily contribute and collaborate?
  • 41. Scientists and volunteers "Scientists often have an aversion to what nonscientists say about science” (Salk, 1986) Collaboration is based on several factors: • Shared vocabulary, practices, and meanings • Mutual recognition of knowledge, competency, and prestige • Motivation to collaborate
  • 42. From Reader to Leader: Motivating Technology-Mediated Social Participation All Collaborator Users Reader Contributor ` Leader Preece & Shneiderman, AIS Trans. Human-Computer Interaction1 (1), 2009 aisel.aisnet.org/thci/vol1/iss1/5/
  • 43.
  • 44.
  • 45.
  • 46.
  • 47. Social Participation: Webshop Goals 1) Clarify national priorities 2) Develop deep science questions motivation, trust, empathy, responsibility, identity, etc. 3) Promote novel research methodologies large-scale interventions, ethnographic methods, big data analysis & visualization 4) Identify extreme technology challenges security, privacy, scalability, universality, etc. 5) Influence national policy 6) Increase educational opportunities
  • 48. Let’s get to work! • Do great research!!!!  Inspirational • Universities • Add courses & degree programs • Help Federal & Local governments • Industry • Offer researchers access to data • Develop infrastructure and analysis tools • Government • National Initiative for Social Participation • Develop Federal & Local applications

Editor's Notes

  1. Todd Beamer – United 93
  2. five stages of emotional response: (1) denial, (2) bargaining, (3) anger, (4) despair, (5) acceptance. ...
  3. The United Nations has declared 2010 the International Year of Biodiversity in recognition of the importance of biological diversity and the looming biodiversity crisis. Biological diversity provides ecosystem services critical to our planet. As much as 90% of the needs of the world’s poorest people depend directly on biodiversity for food, fuel, medicine, etc. [1]. Each species represents a volume in a “living library,” as each has evolved solutions to nature’s challenges, solutions that can benefit human society. For example, the genomics revolution and half of our synthetic drugs were made possible by understanding the characteristics of particular species [2]. Yet the rate of species loss is currently 100 to 1,000 times estimates of historical extinction rates, and these rates are increasing with climate change [2]. Recent assessments indicate that, for example, nearly 25% of mammals and one-third of amphibians are endangered or threatened [3].Scientists alone cannot end the biodiversity crisis. Progress in the conservation and sustainable use of biodiversity will depend on the interface of science with both policy and the public. This is not only because the public must appreciate and understand biodiversity in order to be motivated to conserve it. There are nearly 2 million known species and potentially millions more are still undocumented. Without help, professional biologists will be unable to describe many of these species before they disappear from the planet, especially those in biodiversity-rich but economically poorer countries [4].Public participation can address the biodiversity crisis in several areas. One area is assembling existing knowledge on the 1.9 million species known to science. Doing so can accelerate the pace of research and new species description by making freely available, searchable, and re-usable the information currently in libraries or in local databases inaccessible to most of the world’s scientists. Addressing this need is the primary mission of the Encyclopedia of Life (EOL, http://www.eol.org), an international project headquartered at the Smithsonian’s National Museum of Natural History. In addition to mash-ups of existing scientific databases, we are combining a crowd-sourcing approach with expert review to achieve a high-quality central clearinghouse for species information.
  4. So, the approach of EOL is rather different than many other sites. EOL is a giant mashup that creates pages, that are then available for curators (mostly credentialed scientists) to assess and rate, or for anybody to provide comments or tags.