4.7
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25 ratings

Antoine Courmont +1 more instructor

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Data and Urban Governance

Sciences Po

About this Course

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Since the beginning of the 2000s, cities have witnessed a massive influx of data, transforming how cities are governed. Data has an impact on how city life is structured, as it influences coalitions, actors, instruments, policies, and forms of regulation.
In this MOOC, we will look at this shift more closely: what has the advent of big data done to urban governance? Have platforms disrupted local authorities? How has big data changed local politics? How do we govern using algorithms? What is the place of citizens in the digital city? Is it still possible to be anonymous in the city?

At the end of this course, you will be able to navigate the landscape of urban governance in the digital era, including its myriad actors and instruments; to decipher what drives ongoing transformations in how local governments are structured and operate; to analyze the contemporary changes in municipal service markets; and to understand what is at stake in terms of the creation and implementation of public policies when data comes to town.

This MOOC is offered by the Digital Cities Chair of the Urban School of SciencesPo, funded by La Poste, RTE and the Caisse des Dépôts.

Videos are in creative commons license BY NC

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Beginner Level

A familiarity with digital issues and some knowledge of urban governance are recommended for this course. No technical skills are required.

Approx. 10 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Beginner Level

A familiarity with digital issues and some knowledge of urban governance are recommended for this course. No technical skills are required.

Approx. 10 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

3.85/5 (7 Ratings)

Antoine Courmont

Scientific Director

Digital Cities Chair of SciencesPo

2,726 Learners

2 Courses

Jean-Baptiste Chambon

Phd Student

Sciences Po CEE

2,726 Learners

2 Courses

Offered by

Sciences Po

Founded in 1872, Sciences Po is France's leading university in the social sciences. For over 140 years, Sciences Po has educated decision-makers of the public and private sectors.

Sciences Po is differentiated by its strongly international character: of the 13,000 students in the institution, 46% are international students originating from 150 countries. Sciences Po also holds a high standard of social responsibility and continues to play a pioneering role in the promotion of diversity and equal opportunity in higher education. 30% of the student body receive financial aid at Sciences Po. In 2000, this number was 6%. Over the last decade, Sciences Po has integrated digital tools into its programmes (shared work spaces, eCourses, Moodle, online map library, Controversy Mapping, Forccast Project, etc.) and has naturally migrated towards MOOC teaching platforms as well as other innovative teaching methods.

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Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

When Data Comes to Town

3 hours to complete

8 videos (Total 42 min), 7 readings, 1 quiz

8 videos

General course introduction 4mIntroduction to the session: When data comes to town 1mData: Socio-technical infrastructures5mConsensus, then measurement4mThe political stakes of urban reductionism5mData and the reconfiguration of power7mThe semantic power of public institutions is challenged5mInterview with Pierre Emmanuel Brunet - Rouen Respire7m

7 readings

Digital Cities Chair: partners and credits10mWhat is data? 10mThe environmental impact of digital technologies 10mPractical exercise (optional) – Spotting digital technologies in public spaces10mPractical exercise: Comparing two similar data sets 10mCase study: GTFS10mCase study: Google Maps and conflicting representations of the urban environment10m

1 practice exercise

Week1 Quiz30m

Week2

Week 2

3 hours to complete

Data and urban capitalism

3 hours to complete

5 videos (Total 31 min), 8 readings, 1 quiz

5 videos

The city versus the digital economy1mFrom the sharing economy to digital labor7mCreating the smart cities market 8mInterview with Vincent Vendenberge - Engie Digital6mThe platform model: The algorithm as middleman6m

8 readings

Is data the new black gold for city actors?10mReading guide - Shoshana Zuboff - The Age of Surveillance Capitalism10mCase study – IBM and the smart city in Rio10mWhat are the effects of platforms on local municipalities? 10mUngovernable platforms?10mCase study: Airbnb and the city of Paris10mReading guide - Langley P., Leyshon A. - Platform capitalism: the intermediation and capitalization of digital economic circulation.10mPractical exercise: Processing Airbnb data10m

1 practice exercise

Week2 Quiz30m

Week3

Week 3

3 hours to complete

Data and territorial administration

3 hours to complete

5 videos (Total 20 min), 9 readings, 1 quiz

5 videos

Introduction to the session: Data and local administration1mUnderstanding and implementing open data4mData and local governments5mInterview with Martha Norrick - MODA - NY Analytics6mData-driven local policies and the reconfiguration of relationships between governments and the people and territories they govern2m

9 readings

The state of open data10mReading guide - Antoine Courmont - Denis J., Goëta S.10mCase study – Accessing platform data: Los Angeles and the fight against free-floating data10mGovernments and the impacts of data10mReading guide - Kitchin, R. - Jeannot Gilles, Maghin Victor - Vogl, T. M., et al.10mData as the digital side of the relationship with users10mWhat are the impacts for the public and the urban space?10mReading guide- Nam T., Pardo T.A - Malomo, F., & Sena, V. - Fourcade, M., & Gordon, J.10mPractical exercise – Reporting-system data and the geography of maintenance operations 10m

1 practice exercise

Week3 Quiz30m

Week4

Week 4

3 hours to complete

Data and Algorithmic Governmentality

3 hours to complete

4 videos (Total 21 min), 10 readings, 1 quiz

4 videos

Digital footprints, algorithmic governmentality, and the safe city1mGDPR and the protection of personal data4mGoverning the city with algorithms: What’s the difference?7mInstitutional, commercial, and citizen surveillance7m

10 readings

Digital footprints and personal data in the city10mPractical exercise (optional): Downloading your personal data from social networks10mCase study: The Sidewalk Labs controversy in Toronto, a data protection issue?10mCase study: Waze and the regulation of road traffic10mThe limits of AI and algorithmic systems10mCitizens and algorithmic black boxes10mReading guide: Virginia Eubanks - Automating inequality: How high-tech tools profile, police, and punish the poor10mThe safe city: Centralizing data flows for surveillance purposes10mReading guide: Sarah Brayne - Predict and surveil: Data, discretion, and the future of policing10mPractical exercise: Policing data, predictions, and algorithmic bias10m

1 practice exercise

Week4 Quiz30m

Reviews

4.7

5 reviews

5 stars
76%
4 stars
20%
3 stars
4%

TOP REVIEWS FROM DATA AND URBAN GOVERNANCE

by DCMay 10, 2022

This course was excellent - fascinating content, really well written and presented.

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Data and Urban Governance

Data and Urban Governance

About this Course