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Presentation #2:Open/Big Urban Data

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Presentation #2:Open/Big Urban Data Lessons Learned from the Programmable City Project Mansion House, Dublin, May 9th, 2018 10am-2pm http://progcity.maynoothuniversity.ie/2018/03/lessons-for-smart-cities-from-the-programmable-city-project/

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Presentation #2:Open/Big Urban Data

  1. 1. progcity.maynoothuniversity.ie Presentation #2:Open/Big Urban Data Lessons Learned from the Programmable City Project Mansion House, Dublin, May 9th, 2018 10am-2pm http://progcity.maynoothuniversity.ie/2018/03/lessons-for-smart-cities-from-the- programmable-city-project/ Dr Tracey P. Lauriault Assistant Professor, Critical Media and Big Data School of Journalism and Communication Carleton University @TraceyLauriault
  2. 2. 1. Summary of research 3 Case studies • Open Data (Canada, Ireland) • Homelessness Intake Systems (Dublin, Ottawa, Boston) • Data Model Ordnance Survey Ireland
  3. 3. 1.1 Socio-technological Assemblage (Kitchin 2014) Material Platform (infrastructure – hardware) Code Platform (operating system) Code/algorithms (software) Data(base) Interface Reception/Operation (user/usage) Systems of thought Forms of knowledge Finance Political economies Governmentalities legalities Organisations and institutions Subjectivities & communities Marketplace System/process performs a task Context frames the system/task Digital socio-technical assemblage HCI, Remediation studies Software studies New media studies Game studies Critical Social Science Science Technology Studies Platform studies Places Practices Flowline/Lifecycle Surveillance Studies Critical data studies Critical code studies AI/Machine Learning
  4. 4. 1.2 Modified Dynamic Nominalism (Hacking)
  5. 5. 1.3 Genealogies (Foucault)
  6. 6. 2. Key findings 2.1 Data cultures and technologies shape open data practices
  7. 7. 2.2 Political Economy of Homelessness Ottawa, Canada Homeless Individuals & Families Information System (HIFIS) Dublin, Republic of Ireland Pathway Accommodation and Support System (PASS) Boston, US, Homelessness Management Information Systems (HMIS)
  8. 8. 2.3 OSi Data models • GeoData models represent material reality but that is mediated by people and their knowledge
  9. 9. 2.3 OSi Data models GeoData Models – echo the past, reflect each other and are built on earlier models and new features in the world
  10. 10. 3. Key lessons • 3.1 Open Data as a institutional practices is not mapped across institutions and practices, esp. the smart city
  11. 11. 3.2 Homelessness Intake Systems • Counting needs to be integrated into larger political and economic processes, smart cities do not see these kinds of administrative data
  12. 12. 3.3 OSi Data Model • The change over between old and new technologies have social and material effects
  13. 13. 4. Conclusion Data and Technology are social, technical and political artifacts, than are more than the unique arrangement of objective and politically neutral facts & things that do not exist independently of ideas, techniques, technologies, systems, people and contexts regardless of them being presented in that way.
  14. 14. We live in a technological society that is data driven, and to be responsible technological citizens we need to know about socio-technological assemblages so that we may act as agents to better mobilize data and technologies when warranted in an ethical, accountable and transparent way to govern cities as a fair, viable and liveable commons and balance economic development, social progress and environmental responsibility for all of us.
  15. 15. Tracey.Lauriault@Carleton.ca @TraceyLauriault https://carleton.ca/sjc/profile/lauriault-tracey/ progcity.maynoothuniversity.ie