data and technological citizenship: principled public interest governing
TRANSCRIPT
Data and Technological Citizenship:
Principled Public Interest Governing
GovMaker Conference Fredericton, New Brunswick
November 20, 2017
Dr. Tracey P. LauriaultCritical Media and Big DataSchool of Journalism and CommunicationCarleton University, Ottawa, ON, [email protected]@TraceyLauriaultORCID: orcid.org/0000-0003-1847-2738
Databased & Technological Society
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
Are more than the unique arrangement of objective and politically neutral facts & things
&
they do not exist independently of ideas, techniques, technologies, systems, people and contexts regardless of them being presented
in that way
&
data are inseparable from their technological enablers – storage, computational power, network, ID, ubicomp/IOT –
infrastructure
Data & Technology are social constructions
Tracey P. Lauriault, 2012, Data, Infrastructures and Geographical Imaginations. Ph.D. Thesis,
Carleton University, Ottawa, http://curve.carleton.ca/theses/27431
Data & technology are an assemblage
Kitchin’s Data Assemblage, 2015
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
Algorithm 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
Surveillance studies
HCI, remediation studies
Framing Data
1. Technically
2. Ethically
3. Politically & economically
4. Spatial/Temporal
5. Philosophically
Data & technological citizenship
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
Agency
“Citizenship implies agency, but what is agency and how is agency possible in a technologically advanced society where so much of life is organized around technological systems commanded by experts?”
Andrew Feenberg, (2011)
Data & Technological Citizenship
• Agency = Capacity to act
• Capacity to act implies 3 conditions:
1. Knowledge
2. Power
3. Appropriate occasion to act
Politics – Citizen agency is the legitimate right and power to influence political events
Data & Technological politics
Feenberg (2011)
Data & technological context in government
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
Open Data Definitions
• 1959 Antarctic Treaty• 1992 - UNCED – Agenda 21 Chapter 40,
Information for Decision Making • 1996 Global Map• 2002 – UNCED – Ageda 21 + 10 Down To Earth • 2005 - Open Knowledge Foundation (OKNF) -
11 Principles (Licence specific) • 2007 GEOSS - Data Sharing Principles for the
Global Earth Observing System of Systems• 2007 - US Open Government Working Group -
8 principles of Open Government Data • 2007 Science Commons Protocol for
Implementing Open Access Data• 2007 Sunlight Foundation - 10 Principles for
Opening Up Government Information• 2007 OECD, Principles and Guidelines for
Access to Research Data from Public Funding
• 2008 OECD, Recommendations on Public Sector Information
• 2009 W3C - Publishing Open Government Data• 2010 Tim Berners-Lee 5 Star of Open Data• 2010 Panton Principles for Open Data in
Science• 2010 Ontario Information Privacy
Commissioner - 7 Principles• 2013 Open Economics Principles• US Association of Computing Machinery
(USACM) – Recommendations on Open Government
• American Library Association (ALA) – Access to Government Information Principles
• 2013 G8 Open Data Charter• 2015 International Open Data Charter
Earth Summit 1992, 2002
Agenda 21 – Chapter 40
INFORMATION FOR DECISION-MAKING
40.1. In sustainable development, everyone is a user and provider of information considered in the broad sense. That includes data, information, appropriately packaged experience and knowledge. The need for information arises at all levels, from that of senior decision makers at the national and international levels to the grass-roots and individual levels. The following two programme areas need to be implemented to ensure that decisions are based increasingly on sound information:
a. Bridging the data gap;
b. Improving information availability.
Data Communities
Research/scientific
Data
GovData
GeoDataPhysical
Sciences
AdminData
Public Sector Data
NGOs
Access to Data Open Data
Social
Sciences
2005
Operations Data
Infrastructural Data
Sensor Data
Social Media Data
AI/Machine Learning Data
Smart Open Data?2015
Private Sector
IOT
- Smart Cities
- Precision Agriculture
- Autonomous Cars
SM Platforms
Algorithms
P2P – Sharing Economy
Predictive Policing
Surveillance
Digital Labour
Drones
5GPublic/Private Sector Data?
Crowdsourcing
Citizen Science
Civic Teck
OCAP
Local and
Traditional
Knowledge
Digital Strategies
• Delivering faster, better and ‘consistently good’ • government services online to citizens • web bases government enterprise services for public
servants/administrators• Providing greater and easier access to government information
and resources on the multiple devices and platforms
• Enterprise-wide alignment and cost-effective use of information resources, and to promote and sustain a culture of innovation
Open
Platform
Open
data
Open
Source Open
Government
Digital Strategies
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
YesNo Maybe LikelyUnlikely
Digital
StrategiesOpen
Science
Smart Cities/
Precision Ag/
IoT Web
Services
Open Government
• “is about making government more accessible to everyone. This means giving greater access to government data and information to the …public and the businesses community”
• “is about creating a more open and transparent government for the people of…”
• “foster a global culture of open government that empowers and delivers for citizens, and advances the ideals of open and participatory 21st century government.
Digital
Strategies
Open
Platform Openness
Policy
Law
Open Government
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
YesNo MaybeUnlikely
Open
dataOpen
Science
Smart Cities/
Precision Ag/
IoT
Open
Government
Likely
Open Data
“is digital data that is made available with the technical and legal characteristics necessary for it to be freely used, reused, and redistributed by anyone, anytime, anywhere”
1. Access
2. Redistribution
3. Reuse
4. Absence of Technological Restriction
5. Attribution
6. Integrity
7. No Discrimination Against Persons or Groups
8. No Discrimination Against Fields of Endeavor
9. Distribution of License
10. License Must Not Be Specific to a Package
11. License Must Not Restrict the Distribution of Other Works
(Inernational Charter)
Digital
Strategies
Open
Platform
Open
Source
Open
Government
Open Data
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
YesNo MaybeUnlikely
Open
Science
Smart Cities/
Precision Ag/
IoT
Open
Data
Likely
Open Science
“Open Science is the practice of science in such a way that others can collaborate and contribute, where research data, lab notes and other research processes are freely available, under terms that enable reuse, redistribution and reproduction of the research and its underlying data and methods.”
https://www.fosteropenscience.eu
Digital
Strategies
Open
Science
Open
Platform
Open Source
Open
Government
Open Science
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
YesNo MaybeUnlikely
Smart Cities/
Precision Ag/
IoT
Open Data
Likely
Open Platform
Federal Geographic Data Platform
• Comprehensive collection & sharing of authoritative data
• Search, discovery, access, & visualization tools built once & reused many times, search once and find everything
• Common web-based environment enabling data integration, analysis, & visualization to support informed decision-making
• Shared governance & management of geospatial assets and capabilities, through operational standards & policies
2015…
http://www.nrcan.gc.ca/earth-sciences/geomatics/canadas-spatial-data-
infrastructure/geospatial-communities/federal
Open Data
Open
ScienceOpen
Platform
Open Source
Open
Government
Open Platforms
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
YesNo MaybeUnlikely
Digital
Strategies
Smart Cities/
Precision Ag/
IoT
Likely
Digital
Strategies
Open
Data
Open
Science
Open
Platform
Open SourceOpen
Government
Smart Cities / Precision Ag. /IoT
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
YesNo MaybeUnlikely
Smart Cities/
Precision Ag/
IoT
Likely
Open DataDigital
Strategy
Open
Science
IoT Smart
City /
Prec. Ag.
Open
Platforms
Open
Source
Open
Gov’t
Integration
of
data and
TechnologiesAll levels
of
govern
ment
Data Brokers
They are consuming government open data & fuse them with big
data, and HQ may not be here!
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
Convergence of corporate surveillance & government
Dataveillance
What will be encoded?
Can food security & ecosystem farming be encoded locally?
Can we improve the quality of life of city residents?
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
Can we equalize access to transportation & have shared
ownership? What of the loss of autonomy and anonymity?
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
Reducing waste & recycling, energy efficiency, fair Labour
practices, mining in the congo, ability and right to repair.
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
What does predictive policing look like in a paramilitary context?
Who’s future is being managed & which bodies are being
managed? Should the smart city & predictive policing converge?
Who watches the watchers & the algorithm makers?
Labour, Robotics, AI
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
Data invisibilities, counting choices, data politics.
Rights & Principles
1. The right to remain natural, i.e. ‘merely’ biological and organic
2. The right to be inefficient if, when and where it defines our basic humanness
3. The right to disconnect4. The right to be, or remain anonymous5. The right to employ or engage people instead of
machines6. The right to data sovereignty7. Technological citizenship
What kind of technological society do
we want?
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
What kind of data based technological society do we want?
How do we act as a community of data and technological citizens for the public good?
What does data & technological governance look like?
How are open data & corporate responsibility related?
What do open & ecosystem based & local ‘smart’ sensored cities/farms look like?
Asking hard questions & debating critically & doing data politics about data & technological issues
Open
Data
Digital
Strategy
Open
Science
IoT
Smart
City /
Prec. Ag.
Open
Platforms
Open
Source
OpenGov’t
Civil Society
Private Sector
Academia
Journalism
All levels
of
govern
ment
General Data Protection Regulation
• Data Subjects
• Breach Notification
• Data Sovereignty
• Data Portability
• Right to Access
• Right to Explanation – Algorithms
• Right to Repair????
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
Capacity to act in a technological society?
Knowledge We do, but especially those of us who work with data, technology, policy, law and governance.PowerWe do, but especially those of us who have jobs, pensions, live in a safe country, who are educated, … Appropriate occasion to act (when & where)Here now!
Abstract
Canada is a data and technological society. There is no sector that is uninformed by data or unmediated by code, algorithms, software and infrastructure. Consider the Internet of Things (IoT), smart cities, and precision agriculture; or smart fisheries, forestry, and energy and of course governing. In a data based and technological society, leadership is the responsibility of all citizens, a parent, teacher, scholar, administrator, public servant, nurse and doctor, mayor and councillor, fisher, builder, business person, industrialist, MP, MLA, PM, and so on. In other words leadership is distributed and requires people power. This form of citizenship, according to Andrew Feenberg, Canada Research Chair in Philosophy of Technology, requires agency, knowledge and the capacity to act or power. In this GovMaker Keynote I will introduce the concept of technological citizenship, I will discuss what principled public interest governing might look like, and how we might go about critically applying philosophy in our daily practice. In terms of practice I will discuss innovative policy and regulation such as the right to repair movement, EU legislation such as the right to explanation, data subjects and the right to access and also data sovereignty from a globalization and an indigenous perspective.
Dr Tracey P. Lauriault, School of Journalism and Communication, Carleton University
CGDI Principles
1. Open:
enables better decision making, the CGDI is based on open, barrier-free data sharing and standards that allow users to exchange data.
2. Accessible:
allows users to access data and services seamlessly, despite any complexities of the underlying technology.
3. Evolving:
the network of organizations participating in the CGDI will continue to address new requirements and business applications for information and service delivery to their respective users.
4. Timely:
the CGDI is based on technologies and services that support timely or real-time access to information.
5. Sustainable:
is sustained by the contributions of the participating organizations and broad user community and through the infrastructure’s relevance to these groups.
6. Self-organizing
the CGDI enables various organizations to contribute geospatial information, services and applications, and guide the infrastructure’s development.
7. User and community driven
emphasizes the nurturing of and service to a broad user community. These users, including Canadians in general, will drive the CGDI’s development based on user requirements.
8. Closest to source
maximizes efficiency and quality by encouraging organizations closest to source to provide data and services. Thereby eliminating duplication and overlap.
9. Trustworthy
is continually enhanced to protect sensitive and proprietary data. The CGDI offers this protection through policies and mechanisms that enable data to be assessed for quality and trusted by users.
Source: : 2012, Canadian Geospatial Data Infrastructure Vision, Mission and Roadmap - The Way Forward DOI:10.4095/292417