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Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldaba

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How can we take UX and Data Storytelling out of the tech context and use them to change the way government behaves?

Showcasing the truth is the highest goal of data storytelling. Because the design of a chart can affect the interpretation of data in a major way, one must wield visual tools with care and deliberation. Using quantitative facts to evoke an emotional response is best achieved with the combination of UX and data storytelling.

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Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldaba

  1. How UX&Data Storytelling Can Shape Policy
  2. Thinking Machines is a full stack data science consultancy, with offices in Manila Philippines, and San Francisco, California. We solve business problems with data.
  3. About Me SCALE: 1 circle = 1 hour 1 column = 1 week Graphic Design Data Visualization UX Design Web Design Motion Graphics
  4. Today: 01 Meet the Policy Makers 02 The Long Journey of Design Policy in the Philippines 03 How UX Fits Into Data Storytelling 04 Case Study 1: Road Safety Designing as a Citizen 05 Case Study 2: Road Budget Tracking Designing with the Government
  5. 01 Meet the Policy Makers
  6. David Yap
  7. The road to hell is paved with bad data.
  8. Reina Reyes
  9. 02 The Long Journey of Design Policy In the Philippines
  10. Design
  11. Design "A way of thinking and a problem- solving process that is user- centered, collaborative, multi- disciplinary and makes ideas tangible, whether in the form of products, services or experiences."
  12. RA 10557
  13. The City of Good Design 1239 km
  14. The road to good design is full of red tape
  15. 03 How UX Fits Into Data Storytelling
  16. =
  17. =
  18. It’s not just about making it pretty
  19. People feel threatened by very large numbers
  20. Facts + Feelings = Data Storytelling
  21. Visualization Analysis Framework problem driven work Anthropology/ Ethnography/ Psychology Design Computer Science Tamara Munzner, Information Visualization
  22. What kind of data is relevant to our users?
  23. 04 Case Study: Road Safety Designing as a Citizen
  24. Get the most bang for your data
  25. 02 Road Danger Story Part 1 Road Danger Story Part 1
  26. 02 Road Danger Story Part 1
  27. 02 Road Danger Story Part 1
  28. 02 Road Danger Story Part 1
  29. 02 Road Danger Story Part 1
  30. 02 Road Danger Story Part 1
  31. 02 Road Danger Story Part 1
  32. Road Danger Story Part 2 02 Road Danger Story Part 2
  33. 02 Road Danger Story Part 2
  34. 02 Road Danger Story Part 2
  35. 02 Road Danger Story Part 2
  36. 02 Road Danger Story Part 2
  37. 02 Road Danger Story Part 3 Road Danger Story Part 3
  38. 02 Road Danger Story Part 3
  39. 02 Road Danger Story Part 3
  40. 02 Road Danger Story Part 3
  41. It’s not just a graph, it’s a graphic NATHAN YAU
  42. 05 Case Study: Road Budget Tracking Designing with the Government
  43. Roads are the arteries of a country
  44. The Philippines will spend P766.5 billion on roads this year
  45. Are the roads being built?
  46. Multiple Agencies + Multiple Databases + No Unique ID
  47. How do you follow 
 one project from the first database to the last?
  48. algorithm
  49. The Matching Algorithm ✦ Text Normalization the process of transforming text into a single canonical form that it might not have had before ✦ Text Vectorization an algebraic model for representing text documents as vectors of identifiers, such as, for example, index terms ✦ tf-idf short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a
  50. Your idea is only as good as how you present it
  51. The Matching Algorithm
  52. The Matching Algorithm
  53. The Matching Algorithm
  54. Initial User Testing
  55. Insights ✦ Personas: Government Officials, Employees, 
 Accountants, Journalists ✦ Officials: Importance of Budget Integrity and Faithfulness Feature: Dashboard to look at the big picture ✦ Employees: Checking on Individual Projects Feature: More pictures ✦ Journalists: Looking for stories for their beat Feature: Maps
  56. The City of Good Design 1239 km
  57. In Summary ✦ Data Visualisation isn’t just about making pretty charts, 
 it has its own language. ✦ Making your visualisation more accessible and seen by more people is good. But if it miscommunicates, it can be worse than not being seen at all. ✦ Data can be cold, add emotion to humanise your story. ✦ Design should happen before data is processed. ✦ Who, What, Why, How?
  58. #makefactscoolagain
  59. Read more data stories on our blog stories.thinkingmachin.es Follow Us /thinkdatasci @thinkdatasci ✦ ✦

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