Big data and smart cities: Key data issues
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Prof. Rob Kitchin
NIRSA , Maynooth University
[email protected] @robkitchin
Big data and smart citiesKey data issues
Government Data Forum, 14 July 2015
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Urban big data
• Directedo Surveillance: CCTV,
drones/satelliteo Scaled public admin records
• Automatedo Automated surveillanceo Digital deviceso Sensed and scanned data o Interaction and transactional datao IoT (Internet of things) and M2M
(machine to machine)
• Volunteered o Social mediao Sousveillance/wearableso Crowdsourcingo Citizen science
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Data-driven urbanism
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Single systems
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Integrated, city & sector wide
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Smart ...
• Economy • entrepreneurship, innovation, productivity, competiveness
• Government• e-gov, open data, transparency, accountability, evidence-
informed decision making, better service delivery• Mobility • intelligent transport systems, multi-modal inter-op, efficiency
• Environment• green energy, sustainability, resilience
• Living• quality of life, safety, security, manage risk
• People• more informed, creativity, inclusivity, empowerment,
participation
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Seven critiques of smart cities
• Ahistorical, aspatial and homogenizing• The politics of urban data• Technocratic governance and solutionism• Corporatisation of governance• Buggy, brittle, hackable urban systems• Serve certain interests and reinforce
inequalities• Social, political, ethical effects
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The politics of urban data
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
Data assemblage
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Data concerns
• Corporatisation of governance• Data ownership• Data control
• Buggy, brittle, hackable urban systems• Data security, data integrity
• Social, political, ethical effects• Data protection and privacy• Dataveillance/surveillance (anonymous vs
personalised data – ANPR, CCTV, facial recognition, travel card & bluetooth tracking, smart metering, etc)
• Data uses: Social sorting, control creep, dynamic pricing, anticipatory governance, official statistics
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Technical data concerns
• Data coverage and access (openness)
• Data integration and interoperability (data standards)
• Data quality and provenance: veracity (accuracy, fidelity), uncertainty, error, bias, reliability, calibration, lineage
• Quality, veracity and transparency of data analytics
• Ecological fallacy and interpretation issues
• Skills and organisational capabilities and capacities
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[email protected]@robkitchin
http://www.nuim.ie/progcity@progcity
Kitchin, R., Lauriault, T. and McArdle, G. (2015) Knowing and governing cities through urban indicators, city benchmarking and real-time dashboards. Regional Studies, Regional Science 2: 1-28
Kitchin, R. (2014) The real-time city? Big data and smart urbanism. GeoJournal 79(1): 1-14.