Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.

Automating Homelessness

254 vues

Publié le

Conference of Irish Geographies 2018
The Earth as Our Home
Automating Homelessness May 12, 2018
The research for these studies is funded by a European Research Council Advanced Investigator award ERC-2012-AdG-323636-SOFTCITY.

Publié dans : Logiciels
  • Identifiez-vous pour voir les commentaires

  • Soyez le premier à aimer ceci

Automating Homelessness

  1. 1. Conference of Irish Geographies 2018 The Earth as Our Home Automating Homelessness May 12, 2018 Dr. Tracey P. Lauriault Assistant Professor of Critical Media and Big Data School of Journalism and Communication Carleton University, Ottawa, ON, Canada Tracey.Lauriault@Carleton.ca ORCID: orcid.org/0000-0003-1847-2738
  2. 2. TOC 1. Critical Data Studies 2. Theoretical Framework 3. Methodology 4. Intake System Case Studies 5. Next Steps 6. Acknowledgements Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
  3. 3. 1. Critical Data Studies Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
  4. 4. Research and thinking that applies critical social theory to data to explore the ways in which: Data are more than the unique arrangement of objective and politically neutral facts & It is understood that data do not exist independently of ideas, techniques, technologies, systems, people and contexts regardless of them being presented in that way 1.1 Critical Data Studies Tracey P. Lauriault, 2012, Data, Infrastructures and Geographical Imaginations. Ph.D. Thesis, Carleton University, Ottawa, http://curve.carleton.ca/theses/27431
  5. 5. 1.2 Framing Data 1. Technically 2. Ethically 3. Politically & economically 4. Spatial/Temporal 5. Philosophically 6. Technological Citizenship + Engaged Scholarship Rob Kitchin, 2014, The Data Revolution, Sage. Andrew Feenberg, 2011, Agency and Citizenship in a Technological Society, https://www.sfu.ca/~andrewf/copen5-1.pdf
  6. 6. 1.3 Critical Data Studies Vision • Unpack the complex assemblages that produce, circulate, share/sell and utilise data in diverse ways; • Chart the diverse work they do and their consequences for how the world is known, governed and lived-in; • Survey the wider landscape of data assemblages and how they interact to form intersecting data products, services and markets and shape policy and regulation. Kitchin and Lauriault, 2015
  7. 7. 2. Theoretical Framework Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
  8. 8. 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 and communities Marketplace System/process performs a task Context frames the system/task Digital socio-technical assemblage HCI, Remediation studies Critical code studies / Software studies Media studies Critical Social Science Science Technology Studies Platform studies Places Practices Flowline/Lifecycle Surveillance Studies Critical data studies 2.1 Socio-Technological Assemblage (Kitchin 2014) Algorithm Studies AI / Machine Learning Game Studies
  9. 9. 1. Classification 2. Object of Study 3. Institutions4. Knowledge 5. Experts Looping Effect a. Counting b. Quantifying c. Creating Norms d. Correlation e. Taking Action f. Scientification g. Normalization h. Bureaucracy i. Resistance Engines of Discovery Derived Engines 2.2 Dynamic Nominalism Modified Dynamic Nominalism Hacking (Lauriault 2012)
  10. 10. 2.3 Reassembling the Data Person / Subject from Intake Systems • Data Double (Virilio, 2000) • Digital doppelgänger (Robinson, 2008) • Data Ghost (Sports analytics) • Data Trails / Traces / Shadows / Footprints • Data (statistical) Person (Dunne & Dunne, 2014) • Dataveillance (Clarke, 1988)
  11. 11. 20101990 1995 2000 20051985 2015 Data Liberation Initiative (DLI) Geogratis Data Portal GeoBase Canadian Internet Public Policy Clinic Maps Data and Government Information Services (MADGIC) Carleton U GeoConnections GeoGratis Census Data Consortium Canadian Association of Research Libraries (CARL) Atlas of Canada Online (1st) CeoNet Discovery Portal Research Data Network How'd they Vote CivicAccess.ca Campaign for Open Government (FIPA) Canadian Association of Public Data Users Datalibre.ca VisibleGovernment.ca I Believe in Open Campaign Change Camps Start Nanaimo BC Toronto Open Data Portals Edmonton Mississauga launches open data Citizen Factory B.C.'s Climate Change Data Catalogue Open Parliament DatadotGC.ca Ottawa Ottawa, Prince George, Medicine Hat Data.gc.ca Global TV Hansard in XML Langley Let the Data Flow GovCamp Fed. Expenses Montreal Ouvert Fed.Gov. Travel and Hospitality Expenses London Hamilton Windsor Open Data Hackfest Aid Agency Proactive.ca DataBC Hacking Health 14 Cities Quebec Ontario OGP 3 Cities Alberta G8 Community Data Program FCM Quality of Life Reporting System Geographic and Numeric Information System (GANIS) Int. Open Data Charter ODX/PSD CODS VancouverG4+1 GO Open Data Census E4D First Nations Information Governance OCAP 2.4 Genealogy
  12. 12. 1. Inventory 2. Assessment Use & Implications 3. Governance Citizen & Private Sector Engagement 4. Accountability Transparency, Rights, Auditing 5. Mobilization Plain Language 2.5 Un-blackboxing technology
  13. 13. 2.6 Social-shaping qualities of data (Rob Kitchin, 2012)
  14. 14. 3. Methodology Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
  15. 15. 3.1 Ethnography of data collection practices and digital objects • Semi-Structured & Transcribed Interviews with: • Developers • Creators • Policy advisors and analysts • Users – Agencies • Dublin • Grey literature in Boston and Ottawa • Engaged research • Participation in Rough Sleeper / Street Counts / Point in Time Counts • Ireland CSO Census Working Group on Homelessness • Member of the Dublin Regional Homelessness Initiative • Attend 2 Calgary Homeless Foundation Homelessness Research Symposium Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
  16. 16. 3.2 Modified Walkthrough • Downloading & using the software • Observing users • Call for Tender • Specification Manuals • Training Manuals • Examining data models • Screen captures of interfaces Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University DOI: 10.1177/1461444816675438DOI: 10.1080/1369118X.2016.1168471 DOI: 10.1177/1461444815589702
  17. 17. 3.3 Grey Literature • Policies, directives, strategies • Laws, regulation • Performance indicators, metrics • Reports • Community literature • Funding mechanisms Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
  18. 18. 4. Intake System: 3 Case Studies Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
  19. 19. 4.1 Programmable City Translation: City into code & data Transduction: Code & data reshape city Understanding the city (Knowledge) How are digital data materially & discursively supported & processed about cities & their citizens? How does software drive public policy development & implementation? Managing the city (Governance) How are discourses & practices of city governance translated into code? How is software used to regulate & govern city life? Working in the city (Production) How is the geography & political economy of software production organised? How does software alter the form & nature of work? Living in the city (Social Politics) How is software discursively produced & legitimated by vested interests? How does software transform the spatiality & spatial behaviour of individuals? Creating the smart city Dublin Dashboard Rob Kitchin, National University of Ireland, Maynooth
  20. 20. 4.2 Making up Homelessness Object of Study: A. Dublin Ireland: • Pathway Accommodation and Support System (PASS) • Dublin Street Count • Central Statistics Office (CSO) national census enumeration of the homeless. B. Boston, MA, USA: • Homelessness Data Exchange (HDX) Housing and Urban Development (HUD) Housing Inventory Count (HIC) • Boston Health Commission Annual Street/Point- in-Time (PIT) Count of Homelessness • US Census Bureau National Survey of Homeless Assistance Providers and Clients (NSHAPC) C. Ottawa, ON, Canada: • National Homelessness Information System (HIFIS) • Ottawa Street Count • Statistics Canada national census enumeration of the homeless. • Federation of Canadian Municipalities (FCM) Municipal Data Collection Tool (MDCT) indicators on Homelessness Funding • Programmable City Project • P.I. Prof. Rob Kitchin • NIRSA, Maynooth University • European Research Council Advanced Investigator Award • ERC-2012-AdG-323636-SOFTCITY
  21. 21. 4.3 Homeless case study outputs A. 3 site specific city case studies for comparative analysis • 3 CS reports with accompanying data, information and literature including: • 3 national homeless shelter intake software systems • 3 city specific point in time street counts • 3 national statistical agency censuses which enumerated people who are homeless • Interview recordings and transcripts from key informants • Repository of related grey literature • B. Data Assemblages • Data assemblage for each intake data system, street count and homeless census • Comparative analysis of these data assemblages • C. Construction of homeless people and homelessness • Application of the modified Ian Hacking framework to the making up of homeless people and spaces • 3 homelessness data classification genealogies • Comparative analysis of genealogies • D. Academic Papers
  22. 22. 4.4 3 Homelessness Intake Systems Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University Ottawa, Canada Homeless Individuals and Families Information System (HIFIS) Dublin, Republic of Ireland Pathway Accommodation and Support System (PASS) Boston, US, Homelessness Management Information Systems (HMIS)
  23. 23. 4.5 Intake System Objectives • HIFIS • Comprehensive and comparative data collection • ESDC will grant a licence in return for non-identifiable personal information related to the Service Provider and its clientele ("Personal Information"). • PASS • Provision of 'real-time' information in terms of homeless presentation and bed occupancy • Dublin local authorities, Health Service Executive and all homeless services • Improve service delivery • Monitor the delivery of services • Coordinate services • Planning and development of services Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University • HUD HMIS Coordinated housing and services funding for homeless families and individuals with: • Outreach, • Intake and assessment, • Emergency shelter, • transitional housing and • permanent supportive housing.
  24. 24. 4.6 Intake System Interface Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
  25. 25. 4.7 Intake System Governance • HIFIS • 1999 • 1st Developed by Canada Housing Mortgage Corporation (CHMC) • 2004? Ongoing dev. by Homelessness Secretariat, Employment Social Development Canada ( ESDC Fed) • Community Coordinators • Deployed in independent shelters and other service points • +/- 500 service points • Not complete coverage • PASS • 2013 • Developed & Coordinated by Dublin Region Homeless Executive (DRHE) • In collab. w/Office of the Data Protection Commissioner (ODPC) • Regional PASS Coordinator • Deployed in all service points in Ireland that receive state funding • Multiple agencies, including local authorities and Voluntary Organizations • Complete Coverage Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University • HUD HMIS • 2004 • US Dept. of Housing & Urban Development (HUD), w/ the Dept. of Health and Human Services (HHS), Dept. of Veterans Affairs (VA), of the Data Standards • Neighborhood Development Supportive Housing Division, w/ direction from Continuum of Care Board the Boston Continuum of Care Leadership Council • Coverage?
  26. 26. 4.8 Intake System Design • HIFIS • In collaboration with service providers • National consensus Bldg. • National User Group • Joint Application Design • In house developers • HIFIS 4 web based • PASS • w/Service Providers • Open Sky • Cloud based MS BI Platform • Cloud based • Proprietary • Intake and case management Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University • HUD HMIS • Social Solutions’ Efforts to Outcomes (ETO®) HMIS • Platform, SaaS w/TouchPoint CMS • Cloud based • Open Path Warehouse developed by GreenRiver • Intake Social Solutions Inc.
  27. 27. 4.9 Intake System Policy & Regulation • HIFIS • PIPEDA • Data Provision Agreements • Homelessness Partnering Strategy (HPS) • National Homeless Information System (NHIS) • PASS • Data Protection Acts 1988 & 2003 and fulfils the role of certified Data Controller. • Health Act, 1953 • Childcare Act, 1991, • Housing Act 1988 • Housing (Miscellaneous Provisions) Act 2009 Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University • HUD HMIS • Housing First • US Dept. of HUD awards Homeless Assistance Program funding through Continuum of Care (CoC)
  28. 28. 4.10 Intake System Data Output & Reporting • HIFIS • PASS Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University • HUD HMIS
  29. 29. 4.11 Data Model Open Path Wharehouse Boston Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
  30. 30. 5. Next Steps Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
  31. 31. 5.1 Next Steps • Installation and trial • Data fields, flow line & model • Data - Decision making processes • Mapping governance model to the data fields • Licencing • Comparative analysis • What does a person who experiences homelessness look like in data? And do the data make a difference? Do the data affect them? Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
  32. 32. 6. Acknowledgements Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
  33. 33. 6.1 Acknowledgements The research for these studies is funded by a European Research Council Advanced Investigator award ERC-2012- AdG-323636-SOFTCITY. http://progcity.maynoothuniversity.ie/ I would like to express my gratitude to Officials at Dublin City Council, Officials at Employment and Social Development Canada, and Boston Foundation & Metropolitan Area Planning Council (MAPC) and all those who shared their knowledge and time.
  34. 34. Thank you!@TraceyLauriault Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University

×