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Empowering those that don't "speak" data

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(Slides from my workshop at the 2018 UN World Data Forum)
Data is too often used “about” people, rather than “with” people. Are you looking for novel ways to engage and empower populations that don’t “speak” the language of data? This workshop session will introduce the Data Culture Project – our suite of hands-on, arts-based, activities that bring people together around data with a goal of empowerment. We’ll do two of our participatory hands-on activities in this workshop – building data sculptures and brainstorming questions to ask a dataset. These activities can be run individually within a project scope to involve various low-data-literacy stakeholders, or can be strung together to do things such as design and paint community-driven data murals. You will walk away with concrete approaches to engaging constituents at various points within your data lifecycle, and inspirational examples of how to empower those that don’t otherwise “speak” data. Only through collaborative outreach, engagement, and capacity building can we truly “leave no-one behind” in the data revolution.

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Empowering those that don't "speak" data

  1. 1. Empowering Those That Don’t “Speak” Data
  2. 2. Recognizing Data as an Asset improve operations spread the message bring people together
  3. 3. Learning to Speak Data
  4. 4. Barriers technical jargon lack of confidence technical expertise IT-centric thinking perceived irrelevance organizational silos budgetary constraints boring https://medium.com/@rahulbot/building-a-data-culture-4f5c116448fc
  5. 5. Separate Technology from Process Excel doesn’t help you learn to ask better questions. R won’t pick the most appropriate chart for telling your story. Tableau doesn’t tell you which narrative arc will convince your audience.
  6. 6. Putting it Into Practice
  7. 7. Opportunities for Engagement Asking questions Gathering data Finding a story Telling your story Trying it out Group brainstorming Participatory collection Inclusive analysis Collaborative creation Realistic evaluation
  8. 8. Meet People Where They Are Sketching a Data Story Building a Data Sculpture D’Ignazio, C., & Bhargava, R. (2016). DataBasic: Design Principles, Tools and Activities for Data Literacy Learners. The Journal of Community Informatics, 12(3). Bhargava, R., & D’Ignazio, C. (2017). Data Sculptures as a Playful and Low-Tech Introduction to Working with Data. Presented at the Designing Interactive Systems, Edinburgh, Scotland. Making Arguments with Data
  9. 9. Paper Spreadsheets Introduce people to data, data cleaning, data-types, and each other
  10. 10. Data Sculptures Use physical craft materials to quickly find and tell a story in 3D
  11. 11. A Case Study - WFP Maryna Taran
  12. 12. WFP Data Literacy Maryna Taran, Field Data Coordinator
  13. 13. The World Food Programme (WFP) is the world's largest humanitarian agency fighting hunger worldwide, delivering food assistance in emergencies and working with communities to improve nutrition and build resilience. WFP is funded entirely by donations from governments, companies and private individuals. 4
  14. 14. WFP is headquartered in Rome. We have a global presence that includes: • 83 Country Offices worldwide • 6 Regional Bureaux (Bangkok, Cairo, Dakar, Johannesburg, Nairobi and Panama) • 14 offices in world capitals • A vast supply chain logistics network that enables us to quickly deliver life-saving food assistance anywhere in the world • Specialist centres for innovation and development of sustainable solutions to hunger. GLOBAL PRESENCE 6
  15. 15. Data Literacy in WFP 16 Started in 2017 Building a Community of Practice • Role of the Data Coordinators • Data Fellows Community Operationalizing the Concept • Data Literacy Sessions • Data Week 2017 • Data Mapping Missions: assessment, literacy, tools • Data Viz Challenges
  16. 16. Data Literacy in WFP 17
  17. 17. Applying what we’ve learned 18
  18. 18. Speaking Data
  19. 19. Opportunities for Engagement Asking questions Gathering data Finding a story Telling your story Trying it out Group brainstorming Participatory collection Inclusive analysis Collaborative creation Realistic evaluation
  20. 20. Empowering Those That Don’t “Speak” Data Rahul Bhargava rahulb@mit.edu @rahulbot datacultureproject.org datatherapy.org databasic.io

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