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Data Government & & Open Public Policy Innovation Negotiation & Strategy <a framework> Politics Key Roles Administration Policy & Regulation (campaigning/NGO) Politics Key Roles Administration Policy &


  1. Data Government & & Open Public Policy Innovation Negotiation & Strategy

  2. <a framework>

  3. Politics Key Roles Administration Policy & Regulation (campaigning/NGO)

  4. Politics Key Roles Administration Policy & Regulation (campaigning/NGO) Persona: Persona: Persona: Politician Deputy Cabinet Secretary Policy Director Personas Political Staffer Chief Operations Officer Head of Regulatory Affairs Public Advocate Director of Services Lobbyist Teaching Elections, media and democratic Operations and the machinery of Policy and regulatory regimes focus institutions government • accountability, operations & • co-creating between the public, • New policy options (bitcoin, efficiency politicians and officials transparency) • new models for collaboration within Key questions • impact of social media & data on • regulating digital industries and & across government governance, social movements and platforms • new models of service delivery society • nature of privacy and security • agile program development • #blacklivesmatters • GDS & USDS • Uber & AirBnB Sample Cases • Arab Spring • healthcare.gov disaster • WhatsApp in Brazil • Obama/Trump Campaign • OPM Hack • FBI vs Apple

  5. Key Concepts Code & Social Media Platforms Machine Learning Open Source (illustrative) Code Law Wiki Open Data Fake News A/B Testing Git Algorithmic Unit Testing Blockchain API Online Bullying Transparency

  6. Culture & Agile: Iteration, Learning & Tolerance for Failure Norms

  7. Security Privacy Foundational Data Disciplines Design User Needs Culture & Agile: Iteration, Learning & Tolerance for Failure Norms

  8. Key Concepts Code & Machine Open Source & Platforms Social Media Code Law Learning co-creation (illustrative) Security Privacy Foundational Data Disciplines Design User Needs Culture & Agile: Iteration, Learning & Tolerance for Failure Norms

  9. Politics Career Paths Administration Policy & Regulation (campaigning/NGO) Key Concepts Code & Machine Open Source & Platforms Social Media Code Law Learning co-creation (illustrative) Security Privacy Foundational Data Disciplines Design User Needs Culture & Agile: Iteration, Learning & Tolerance for Failure Norms

  10. Surveillance Society? The Big What does a digital Wealth Distribution in a Questions state look like logarithmic society Ethics & Data AI & Humanity Politics Career Paths Administration Policy & Regulation (campaigning/NGO) Key Concepts Code & Machine Open Source & Platforms Social Media Code Law Learning co-creation (illustrative) Security Privacy Foundational Data Disciplines Design User Needs Culture & Agile: Iteration, Learning & Tolerance for Failure Norms

  11. Surveillance Society? The Big What does a digital Wealth Distribution in a Questions state look like logarithmic society Ethics & Data AI & Humanity Politics Career Paths Administration Policy & Regulation (campaigning/NGO) Key Concepts Code & Machine Open Source & Platforms Social Media Code Law Learning co-creation (illustrative) Security Privacy Foundational Data Disciplines Design User Needs Culture & Agile: Iteration, Learning & Tolerance for Failure Norms

  12. Three Myths on your Journey

  13. Myth 1

  14. One can build a national EHR system

  15. Only 9% of projects in large companies were successful. - Standish Group, 2014

  16. 61.5% of all large company projects were challenged - Standish Group, 2014

  17. 53% Have 51%+ Cost overruns 68% Have 50%+ Cost overruns In large companies only 42% of the features and functions existed in the end product

  18. Myth 2

  19. Coding Skills are your most important asset

  20. Don’t let enterprise needs trump users needs

  21. We are not users

  22. I believe the most important digital skill is empathy

  23. Your senior public servants often don’t want to engage users. Ever.

  24. Engaging users means having to confront failure or suboptimal outcomes.

  25. Myth 3

  26. Open Source Will Make It Free

  27. What you should do

  28. 1. You need digital infrastructure, not EHR

  29. What Government looks like today, digitally .

  30. Department

  31. Department Application Database

  32. Department Tax Dept DMV Social Services HR Intranet

  33. Department Tax Dept DMV Social Services HR Intranet Sign On Sign On Sign On Sign On Address Search Address Search Address Search Address Search Application SIN request SIN request SIN request SIN request Form Form Form Form

  34. Department Tax Dept DMV Social Services HR Intranet Sign On Sign On Sign On Sign On Address Search Address Search Address Search Address Search Application SIN request SIN request SIN request SIN request Form Form Form Form Database Database Database Database Database

  35. Duplication, Few standards, etc… Department Tax Dept DMV Social Services HR Intranet Sign On Sign On Sign On Sign On Address Search Address Search Address Search Address Search Application SIN request SIN request SIN request SIN request Form Form Form Form Database Database Database Database Database

  36. Where should you be going?

  37. Core Public Works for the 21st century

  38. Department Tax Dept Passport Work Permit Security Clearance Sign On Sign On Sign On Sign On Address Search Address Search Address Search Address Search Application Sin Sin Sin Sin Form Form Form Form Database Database Database Database Database

  39. Digital Services Tax Dept Passport Work Permit Security Clearance Sign On Address Search Application Sin Form Database Database Database Database Database SIN Database Common Address Database Database Business License Database

  40. 2. Start Small and Experiment

  41. Chilean Government

  42. Example 2

  43. “And we wondered — exactly how do people make choices when deciding on college? Instead of guessing, we decided to go out and ask them.” - USDS team, via Medium

  44. Sir Arthur Sir Frank Eddington Watson Dyson

  45. 1919

  46. LOW COST Experiment

  47. Sir Arthur Sir Frank Eddington Watson Dyson

  48. 3. Focus on Standards

  49. User Journey

  50. Aware Screen ?% loss Apply 12% loss 31% loss Interview Verify 10% loss Get EBT 12% loss Use EBT 4% loss

  51. Low cost learning & experiments

  52. Key Questions • Who is accountable for: • Deciding which users to focus on? • User experience/journey? • What culture do your questions promote: • rewarding experiments (MVP) or implementation? • Single complaints or data?

  53. Could this type of innovation take place in your city?

  54. What conditions would be required?

  55. Key Questions • What political cover can you provide? • Demand Value in exchange for cover

  56. @daeaves david_eaves@hks.harvard.edu

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