KGLM 2175 - Computational Methods and Data Science for Urban Governance

This seminar revolves around the recent contributions of so-called "urban computing" on city governance. It will propose both a theoretical and a hands-on practical training on data-intensive and computational methods aimed at understanding mobility, transport networks, and territorial dynamics – at the interface between large and small datasets, quantitative and qualitative methods, and, in fine, between scientific results and citizen-oriented applications. We will notably review the broad variety of theoretical and practical prospects that the analysis of urban data offers. Based on this, students will be invited along the course of the semester to build an exploratory study around a question of their choice, relying essentially on open data, in small-sized workgroups.

Camille ROTH

Séminaire

English

Participants are expected to attend the seminar regularly and work from a session to the other, both on the collective project of their choice as well as on a short coding exercise that will have to be submitted before the beginning of each session.

Basic notions of statistics and/or cartography/GIS

Autumn 2021-2022

Validation will be based on : • the achievement of a collective project gathering about 3-5 students around an exploratory study connected to the seminar topics. • the regular submission of the solution to a coding exercise given during the previous session.

The seminar mixes a classical format of lectures discussing recent contributions to urban computing in all generality, and practical, hands-on working sessions aimed at getting familiar with data science methods and the corresponding techniques.