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Mastering Transformation - Massachusetts Institute of Technology (MIT)

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This science-driven work demystifies transformation by introducing:
• Transforming Wellbeing Theory (TWT) that explains the essentials of and the inevitable need for global transformations (Stibe et al. 2019),
• Typology of Change (TC) that clarifies the variety of changes and provides ways to consciously separate them (Stibe et al. 2019),
• Transforming Framework (TF) that contains 8 applicable tools for immediate use (Stibe et al. 2019), and
• Transforming Sociotech Design (TSD) that bends technological innovations with human nature to empower sustainable changes at scale (Stibe et al. 2018, Stibe & Larson 2016).

References:
• Stibe, A., Röderer, K., Reisinger, M., & Nyström, T. (2019). Empowering Sustainable Change: Emergence of Transforming Wellbeing Theory (TWT). Adjunct Proceedings of the 14th International Conference on Persuasive Technology.
• Stibe, A., Kjær Christensen, A.K., & Nyström, T. (2018). Transforming Sociotech Design (TSD). In: Ham J., Karapanos E., Morita P., Burns C. (eds) Adjunct Proceedings of Persuasive Technology.
• Stibe, A., & Larson, K. (2016). Persuasive Cities for Sustainable Wellbeing: Quantified Communities. In M. Younas et al. (eds.): Mobile Web and Intelligent Information Systems (MobiWIS 2016), LNCS 9847 (pp. 271–282)

Published in: Science
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Mastering Transformation - Massachusetts Institute of Technology (MIT)

  1. 1. MASTERING TRANSFORMATION NO MYSTIC SELF- CONTAINED SELF- DRIVEN JANUARY 1st MEDIATED ALGORITHMIC MODERATED USER BEHAVIOR USER CONTENT DYNAMIC DESIGN DYNAMIC CONTENT PERSUASIVE DESIGN TRIANGLE CURVE METRIC CIRCLES ARCHITECTURE SOCIUM MODERATION ETHICS CT COMPETITION SL LEARNING SC COMPARISON CR COOPERATION NI NORMATIVE SF FACILITATION RE RECOGNITION INVOLVEMENT ENGAGEMENT PARTICIPATION POSITIVENEGATIVE INTENDED UNINTENDED MAJOR MINOR HIGH LOW BACKFIRING TARGET SURPRISE DARK GREY INVISIBLE VISIBLE DARK 1 2 3 4 5 6 7 8 TRANSFORMING CHANGE CARE SOCIOTECH DESIGN INTELLIGENCE CLASSIFY UNDERSTAND ANALYTICS DATA READ FEEL SENSORS
  2. 2. 120 2014 € 30 000 000 FROM/VON 2010 — TO/BIS 2014 Highlights Radwege-Bauprojekte Wichtige Radprojekte, in den Jahren 2010 bis 2014 umgesetzt: 1: Ottakringer Straße, 2: Ring-Rund-Radweg, 3: Radwege rund um den Hauptbahnhof, 4: Landstraßer Gürtel, 5: Zentrum Meidling, 6: Kagraner Platz, 7: fahrradfreundliche Hasnerstraße Generelle Radverkehrsplanung und Studien Auswahl aus Konzepten und Studien: Radlangstrecken und Lückenschlüsse, befahrbare Haltestellenkaps für RadfahrerInnen, Piktogramme und Pfeile zur Erhöhung der Verkehrssicherheit, Radfahren gegen die Einbahn 1 2 4 5 6 3 7 Radfahren gegen die Einbahn +16% StVO-Novelle umgesetzt Fahrradstraße: 1.650 m Benutzungspflicht bei Radwegen aufgehoben: 1.970 m Begegnungszonen: 1.200 m Detailplanung Mehr als 600 Einzelmaßnahmen für den (fließenden und ruhenden) Radverkehr pro Jahr, unter breiter interdisziplinärer Beteiligung am Planungs- und Umsetzungsprozess: Dienststellen, Bezirke, Wirtschaftskammer, Polizei etc. (bis zu 30 Beteiligte) Radfahrnetz Citybike-Stationen +96 km 2010 Budget für die Radinfrastruktur Millionen Euro (6 Mio. p.a.) 30 79 2010 Winterdienst 266 km prioritär geräumte Radwege Errichtete Radabstellplätze 2010 +9.588 27.329 Stück 2014 36.917 Stück 2014 1.270 km 1.174 km Radinfrastruktur 2010–2014 Tempo-30-Zonen in Wien Befahrbare Haltestellenkaps für RadfahrerInnen Radlangstrecken Piktogramme und Pfeile zur Erhöhung der Verkehrs- sicherheit Radfahren gegen die Einbahn Modal Split Radverkehr Anteil des Radverkehrs an den zurückgelegten Wegen der Wienerinnen und Wienern 2010: 1.472 km 2014: 1.657 km 4,6% 7,1% 2010 2014 EINBAHN ausgen. 2010 208.790 m ausgen. 242.420 m EINBAHN 2014 Impressum: Magistrat der Stadt Wien, Rathaus, A-1082 Wien, www.verkehr.wien.at
  3. 3. https://scottbreslin.org/2016/08/transformation-vs-change/ DIET 1 DIET 2 DIET 3 175 lbs 190 lbs 180 lbs 200 lbs 185 lbs ???
  4. 4. 0.99365 = 0.03 1.01365 = 37.78
  5. 5. INTELLIGENT INSTINCTIVE 2 1 SOURCE: ONLINE
  6. 6. https://www.engageandprosper.com/approaches/the-carrothttps://www.engageandprosper.com/approaches/the-stick
  7. 7. TODAY ONLY %
  8. 8. TRANSACTION TRANSITION TRANSFORMATION DOT DURATION DIRECTION 1 PERIOD ENDLESS
  9. 9. TRANSACTION TRANSITION TRANSFORMATION DOT DURATION DIRECTION 1 PERIOD ENDLESS 2 1 PERSUASION ?
  10. 10. SOURCE: ONLINE SOCIAL INFLUENCE
  11. 11. 2019 Empowering Sustainable Change: Emergence of Transforming Wellbeing Theory Agnis Stibe1 , Kathrin Röderer2 , Michaela Reisinger2 , and Tobias Nyström3 1 ESLSCA Business School Paris, France agnis@transforms.me 2 Austrian Institute of Technology, Austria {kathrin.roederer, michaela.reisinger}@ait.ac.at 3 Uppsala University, Sweden tobias.nystrom@im.uu.se Abstract. Majority of global problems and business challenges are byproducts
  12. 12. 1SOURCE: ONLINE 2
  13. 13. INSTINCTIVE 1 SOURCE: ONLINE
  14. 14. FRAGILE CAREFUL TV IMAGE 1
  15. 15. TRIANGLE 1
  16. 16. INSTINCTIVE 1 SOURCE: ONLINE
  17. 17. INTELLIGENT 2 SOURCE: ONLINE
  18. 18. INTELLIGENT ?
  19. 19. ATTITUDE BEHAVIOR ENVIRONMENT - + + 2
  20. 20. TRIANGLE CURVE 1 2
  21. 21. INTELLIGENT INSTINCTIVE ? ? SOURCE: ONLINE
  22. 22. SOURCE: ONLINE
  23. 23. https://www.piaggiofastforward.com/gitaSOURCE: ONLINE
  24. 24. SOURCE: MIT
  25. 25. SOURCE: MIT
  26. 26. SOURCE: ONLINE
  27. 27. SOURCE: ONLINE
  28. 28. SOURCE: MIT
  29. 29. SOURCE: ONLINE
  30. 30. SOURCE: MIT
  31. 31. PEOPLE METRIC BEHAVIOR TODAY TRANSFORMATION FUTURE 3
  32. 32. TRIANGLE CURVE METRIC 1 2 3
  33. 33. http://inspiration.goreapparel.com/cycling-to-work/
  34. 34. https://echristensen42.com/2016/10/07/creating-your-own-pathways-through-the-cloud/usesidewalks/ 10 0001
  35. 35. SELF- CONTAINED SELF- DRIVEN JANUARY 1st SELF- DRIVEN SELF- CONTAINED JANUARY 1st 4
  36. 36. SOURCE: ONLINE
  37. 37. SELF- CONTAINED SELF- DRIVEN JANUARY 1st TRIANGLE CURVE METRIC CIRCLES 1 2 3 4
  38. 38. WELLBEING IN MY CITY I SEE HOW MY CITY DEVELOPS IN LINE WITH NOVEL TECHNOLOGIES AND INNOVATIONS. I WILL HAVE A HEALTHY LIFE HERE. COMMUNITIES HAVE STRONG COLLABORATIVE SPIRIT TOWARDS WELLBEING. I WILL BE ABLE TO FULFIL MYSELF. I WOULD SPEND MORE TIME OUTSIDE OF MY HOME TO INTERACT WITH OTHERS. WE WILL HAVE NICELY DESIGNED PUBLIC SPACES FOR THE RESIDENTS OF ALL AGES.
  39. 39. TRANSFORMING CHANGE CARE SOCIOTECH DESIGN INTELLIGENCE CLASSIFY UNDERSTAND AI / BIG DATA DATA READ FEEL SENSORS 5
  40. 40. SELF- CONTAINED SELF- DRIVEN JANUARY 1st TRANSFORMING CHANGE CARE SOCIOTECH DESIGN INTELLIGENCE CLASSIFY UNDERSTAND AI / BIG DATA DATA READ FEEL SENSORS TRANSFORMING CHANGE CARE SOCIOTECH DESIGN SMART CLASSIFY UNDERSTAND AI / BIG DATA SENSING READ FEEL SENSORS TRIANGLE CURVE METRIC CIRCLES ARCHITECTURE 1 2 3 4 5
  41. 41. Persuasive Cities for Sustainable Wellbeing: Quantified Communities Agnis Stibe(&) and Kent Larson MIT Media Lab, Cambridge, USA {agnis,kll}@mit.edu Abstract. Can you imagine a city that feels, understands, and cares about your wellbeing? Future cities will reshape human behavior in countless ways. New strategies and models are required for future urban spaces to properly respond to2016
  42. 42. https://vimeo.com/287397858SOURCE: ONLINE
  43. 43. https://techcrunch.com/2016/07/22/bad-ux-kills/
  44. 44. http://www.thisiscolossal.com/2014/10/lets-bike-it-bamboo-car-skeletons/
  45. 45. SOURCE: ONLINE
  46. 46. SOURCE: ONLINE
  47. 47. 1000 640 790 430 820
  48. 48. SOURCE: MIT
  49. 49. CT COMPETITION SL LEARNING SC COMPARISON CR COOPERATION NI NORMATIVE SF FACILITATION RE RECOGNITION SOCIAL INFLUENCE Downward Upward Injunctive Descriptive Goal Gain Goal Together Participants Onlookers INVOLVEMENT PARTICIPATION ENGAGEMENT
  50. 50. Towards a Framework for Socially Influencing Systems: Meta-analysis of Four PLS-SEM Based Studies Agnis Stibe( ) MIT Media Lab, Cambridge, MA, USA agnis@mit.edu Abstract. People continuously experience various types of engagement through social media, mobile interaction, location-based applications, and other tech- nologically advanced environments. Often, integral parts of such socio- 2015
  51. 51. SELF- CONTAINED SELF- DRIVEN JANUARY 1st TRANSFORMING CHANGE CARE SOCIOTECH DESIGN SMART CLASSIFY UNDERSTAND AI / BIG DATA SENSING READ FEEL SENSORS TRIANGLE CURVE METRIC CIRCLES ARCHITECTURE SOCIUM CT COMPETITION SL LEARNING SC COMPARISON CR COOPERATION NI NORMATIVE SF FACILITATION RE RECOGNITION INVOLVEMENT ENGAGEMENT PARTICIPATION 1 2 3 4 5 6
  52. 52. SOURCE: ONLINE
  53. 53. 0 1 2 3 4 5 6 7 8 Sunny Andrew Gerbert Leen Isabel Rosa Ingrid Anita Albert George Gina Rita Nov-13 Nov-14 Nov-20 Nov-27 Nov-28 Dec-01 Dec-05
  54. 54. 0% 20% 40% 60% 80% 100% 120% Nov-13 Nov-14 Nov-20 Nov-27 Nov-28 Dec-01 Dec-05
  55. 55. MOTIVATED COLLEAGUES HESITANT DEMOTIVATED 0 1 2 3 4 5 6 7 8 Sunny Andrew Gerbert Leen Isabel Rosa Ingrid Anita Albert George Gina Rita Nov-13 Nov-14 Nov-20 Nov-27 Nov-28 Dec-01 Dec-05
  56. 56. Advancing Typology of Computer-Supported Influence: Moderation Effects in Socially Influencing Systems Agnis Stibe( ) MIT Media Lab, Cambridge, MA, USA agnis@mit.edu Abstract. Persuasive technologies are commonly engineered to change beha- vior and attitudes of users through persuasion and social influence without us- ing coercion and deception. While earlier research has been extensively focused 2015
  57. 57. SELF- CONTAINED SELF- DRIVEN JANUARY 1st TRANSFORMING CHANGE CARE SOCIOTECH DESIGN SMART CLASSIFY UNDERSTAND AI / BIG DATA SENSING READ FEEL SENSORS MEDIATED ALGORITHMIC MODERATED USER BEHAVIOR USER CONTENT DYNAMIC DESIGN DYNAMIC CONTENT PERSUASIVE DESIGN TRIANGLE CURVE METRIC CIRCLES ARCHITECTURE SOCIUM MODERATION CT COMPETITION SL LEARNING SC COMPARISON CR COOPERATION NI NORMATIVE SF FACILITATION RE RECOGNITION INVOLVEMENT ENGAGEMENT PARTICIPATION 1 2 3 4 5 6 7
  58. 58. SOURCE: ONLINE
  59. 59. POSITIVENEGATIVE INTENDED UNINTENDED MAJOR MINOR HIGH LOW BACKFIRING TARGET SURPRISE DARK GREY INVISIBLE VISIBLE DARK 8
  60. 60. Persuasive Backfiring: When Behavior Change Interventions Trigger Unintended Negative Outcomes Agnis Stibe1(&) and Brian Cugelman2,3 1 MIT Media Lab, Cambridge, MA, USA agnis@mit.edu 2 Statistical Cybermetrics Research Group, University of Wolverhampton, Wolverhampton, UK brian@alterspark.com 3 AlterSpark, Toronto, ON, Canada 2016
  61. 61. SELF- CONTAINED SELF- DRIVEN JANUARY 1st TRANSFORMING CHANGE CARE SOCIOTECH DESIGN SMART CLASSIFY UNDERSTAND AI / BIG DATA SENSING READ FEEL SENSORS MEDIATED ALGORITHMIC MODERATED USER BEHAVIOR USER CONTENT DYNAMIC DESIGN DYNAMIC CONTENT PERSUASIVE DESIGN TRIANGLE CURVE METRIC CIRCLES ARCHITECTURE SOCIUM MODERATION ETHICS CT COMPETITION SL LEARNING SC COMPARISON CR COOPERATION NI NORMATIVE SF FACILITATION RE RECOGNITION INVOLVEMENT ENGAGEMENT PARTICIPATION POSITIVENEGATIVE INTENDED UNINTENDED MAJOR MINOR HIGH LOW BACKFIRING TARGET SURPRISE DARK GREY INVISIBLE VISIBLE DARK 1 2 3 4 5 6 7 8
  62. 62. SOURCE: HIGI
  63. 63. 0 0,5 1 1,5 2 2,5 TOTAL WEIGHT +20% +32%

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