data power

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Dr Tracey P. Lauriault Communication and Media Studies School of Journalism and Communication [email protected] @TraceyLauriault Data Power March 2, 2016 Faculty of Public Affairs Bagels and Banter B454 Loeb Carleton University , 24 APRIL 2015 Data Power

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Page 1: Data Power

Dr Tracey P. LauriaultCommunication and Media StudiesSchool of Journalism and [email protected]@TraceyLauriault

Data Power

March 2, 2016Faculty of Public Affairs

Bagels and BanterB454 Loeb

Carleton University, 24 APRIL 2015

Data Power

Page 2: Data Power

Dr Tracey P. Lauriault, Communication and Media Studies, Carleton University

TOC1. Data and Every Day Life2. Data Power3. Critical Questions

Page 3: Data Power

Dr Tracey P. Lauriault, Communication and Media Studies, Carleton University

DATA AND EVERYDAY LIFE

Page 4: Data Power

Dr Tracey P. Lauriault, Communication and Media 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

Page 5: Data Power

Dr Tracey P. Lauriault, Communication and Media Studies, Carleton University

DATA POWER

Cover Popular Science

Page 6: Data Power

Dr Tracey P. Lauriault, Communication and Media Studies, Carleton University

RESEARCH & DEVELOPMENT

Contemporary data analytics reflect a worldview, a way of seeing, a way to make

sense of the world, and it is a manifestation of a particular epistemology

“Technical and philosophical research is urgently required with respect to emerging analytics in order to make sense with the scaled and big data to make sense of

scaled and big data” The Data Revolution, Kitchin 2014 p.112

Page 7: Data Power

Dr Tracey P. Lauriault, Communication and Media Studies, Carleton University

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

Contextframes the system/task

Digital socio-technical assemblage

HCI, remediation studies

Critical code studiesSoftware studies

Critical data studies

New media studiesgame studies

Critical Social ScienceScience Technology

Studies

Platform studies

Places

Practices

Flowline/Lifecycle

The Data Revolution (2014) Sage

Page 8: Data Power

Dr Tracey P. Lauriault, Communication and Media Studies, Carleton University

CRITICAL QUESTIONS ABOUT DATA POWER

Is data power analogous to the notion of a technological unconsciousness that obscures the imagination of other possibilities?  Is datism the new technocratic ideology? Is there the possibility of agency in the face of data power?  What would technological citizenship look like in a data based world? What kind of knowledge/power is required and when is the appropriate occasion to act? Which data theories, cultures and types of expertise are required? And can data science and data studies contribute to living well in times of datafication?

Page 9: Data Power

Dr Tracey P. Lauriault, Communication and Media Studies, Carleton University

CU DATA SCIENCE INSTITUTEMaster’s Program

Communication Studies (Thesis or Research Essay)

Biology* (thesis) Biomedical Engineering* (thesis) Business (concentration) Communications 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 – March 29, 2016 Research Groups IBM CasCon