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Critical Data Studies in the Academy

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Published on

November 4, 2015
Faculty of Public Affairs
Bagels and Banter
B454 Loeb
Carleton University

Published in: Data & Analytics
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Critical Data Studies in the Academy

  1. 1. Dr Tracey P. Lauriault Communication Studies School of Journalism and Communication Tracey.Lauriault@carleton.ca @TraceyLauriault Critical Data Studies in the Academy November 4, 2015 Faculty of Public Affairs Bagels and Banter B454 Loeb Carleton University , 24 APRIL 2015
  2. 2. Dr Tracey P. Lauriault, Communication Studies, Carleton University TOC 1. Critical Data Studies 2. Data Science 3. Reasoning 4. In the Academy
  3. 3. Dr Tracey P. Lauriault, Communication Studies, Carleton University DATA AND EVERYDAY LIFE
  4. 4. Dr Tracey P. Lauriault, Communication Studies, Carleton University DATA ARE EVEN A PLATFORM!
  5. 5. Dr Tracey P. Lauriault, Communication Studies, Carleton University Research and thinking that applies critical social theory to data to explore the ways in which they are never  simply neutral  objective  independent  raw representations of the world Data are instead understood to be:  situated  contingent  relational  contextual and  do active work in the world CRITICAL DATA STUDIES Image Source: A data culture for everyone, Official Microsoft Blog, Posted April 15, 2014 By Satya Nadella - Chief Executive Officer, Microsoft, http://blogs.microsoft.com/blog/2014/04/15/a-data-culture-for-everyone/
  6. 6. Dr Tracey P. Lauriault, Communication Studies, Carleton University 1. Situate data regimes in time and space 2. Expose data as inherently political and whose interests they serve 3. Unpack the complex, non-deterministic relationship between data and society 4. Illustrate the ways in which data are never raw 5. Expose the fallacies that data can speak for themselves and that big data will replace small data 6. Explore how new data regimes can be used in socially progressive ways 7. Examine how academia engages with new data regimes and the opportunities of such engagement. 7 PROVOCATIONS Craig Dalton and Jim Thatcher, 2014, What does a critical data studies look like, and why do we care? Seven points for a critical approach to ‘big data’, The Society and Space, Environment and Planning D: Society and Space (The government is ready with a roadmap to capture interstate trade data, considered as essential for the proposed Goods and Service Tax regime, ) Image Source: Economic Times, Indicators page, 2013 http://articles.economictimes.indiatimes.c om/2013-03- 13/news/37683866_1_trade-data- interstate-trade-inter-state-trade
  7. 7. Dr Tracey P. Lauriault, Communication Studies, Carleton University 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. CRITICAL DATA STUDIES VISION Image Source: General Dynamics IT Publish Health Data Whitepapers, 2014, http://www.itwnetworks.com/blog/view/general-dynamics-it-publish-health-data-whitepapers Rob Kitchin and Tracey P. Lauriault, Forthcoming, Toward a Critical Data Studies: Charting and Unpacking Data Assemblages and their Work, in J. Eckert,, A. Shears & J. Thatcher, Geoweb and Big Data, University of Nebraska Press , Pre-Print http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2474112
  8. 8. Dr Tracey P. Lauriault, Communication Studies, Carleton University KITCHIN’S DATA ASSEMBLAGE 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 Critical data studies New media studies game studies Critical Social Science Science Technology Studies Platform studies Places Practices Flowline/Lifecycle The Data Revolution (2014) Sage
  9. 9. Dr Tracey P. Lauriault, Communication Studies, Carleton University Are more than the unique arrangement of objective and politically neutral facts & they do not exist independently of ideas, techniques, technologies, systems, people and contexts regardless of them being presented in that way DATA – BIG OR SMALL Tracey P. Lauriault, 2012, Data, Infrastructures and Geographical Imaginations. Ph.D. Thesis, Carleton University, Ottawa, http://curve.carleton.ca/theses/27431
  10. 10. Dr Tracey P. Lauriault, Communication Studies, Carleton University DATA SCIENCE Master’s Program  Communication Studies (Thesis or Research Essay)  Biology* (thesis)  Biomedical Engineering* (thesis)  Business (concentration)  Computer Science* (thesis)  Economics (thesis or coursework)  Electrical and Computer Engineering* (thesis, project or coursework)  Geography (MSc thesis) *These are part of the joint institutes with the University of Ottawa Institute The aim is to support interdisciplinary research and graduate studies in Data Science through research seminars, interdisciplinary research groups, joint events with industry and our joint Masters program in Data Science.  Seminars  Data Day  Research Groups  IBM CasCon
  11. 11. Dr Tracey P. Lauriault, Communication Studies, Carleton University  Another quantitative revolution is taking place – reification of data at the expense of other forms of knowing  Concurrently there is an aversion to evidence informed decision making  Renaissance of probability – neo-liberal version  How we know about ourselves and where we live is mediated and narrated with data  The datafication of people and the geocoding of everything is producing new subjects to govern, a powerful biopolitics  Uneven social and political relations - there are blank spots on the map, there are invisible people, and there are data shadows  Along with methodological issues, access to the means of counting and the production of numbers is uneven  To adapt we need new synthesis and political sophistication A NEW KIND OF NUMERACY IS REQUIRED
  12. 12. Dr Tracey P. Lauriault, Communication Studies, Carleton University PUBLIC AFFAIRS African Studies (UG + MA) Arthur Kroeger College of Public Affairs  Public Affairs and Policy Management (UG)  Global and International Studies (UG)  Political Management (MA) Criminology and Criminal Justice (UG) Economics (UG + MA + PhD) European, Russian and Eurasian Studies (UG + MA) International Affairs (MA)  Infrastructure Protection & International Security Journalism and Communication (UG + MA + Phd) Law and Legal Studies (Grad)  Conflict Resolution Political Economy (MA?) Political Science (UG +MA + PhD) Public Policy and Administration (MA)  Indigenous Policy and Administration (MA + Diploma)  Philanthropy and Nonprofit Leadership (MA + Diploma)  Public Administration (MA + PhD)  Public Policy (PhD)  Sustainable Energy Policy (MA) Social Work
  13. 13. Dr Tracey P. Lauriault, Communication Studies, Carleton University QUESTIONS Data Science Program? Faculty of Public Affairs? Research Methods? Statistics? Research Methods? Library & Data Management?

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