851-0467-00L  From Traffic Modeling to Smart Cities and Digital Democracies

SemesterHerbstsemester 2020
DozierendeD. Helbing, S. Mahajan
Periodizitäteinmalige Veranstaltung
LehrspracheEnglisch
KommentarNumber of participants limited to 30.


KurzbeschreibungThis seminar will present speakers who discuss the challenges and opportunities arisinig for our cities and societies with the digital revolution. Besides discussing questions of automation using Big Data, AI and other digital technologies, we will reflect on the question of how democracy could be digitally upgraded to promote innovation, sustainability, and resilience.
LernzielTo collect credit points, students will have to give a 30-40 minute presentation in the seminar, after which the presentation will be
discussed. The presentation will be graded.
InhaltThis seminar will present speakers who discuss the challenges and opportunities arisinig for our cities and societies with the digital revolution. Besides discussing questions of automation using Big Data, AI and other digital technologies, we will also reflect on the question of how democracy could be digitally upgraded, and how citizen participation could contribute to innovation, sustainability, resilience, and quality of life. This includes questions around collective intelligence and digital platforms that support creativity, engagement, coordination and cooperation.
LiteraturMartin Treiber and Arne Kesting
Traffic Flow Dynamics: Data, Models and Simulation
Link

Dirk Helbing
Traffic and related self-driven many-particle systems
Reviews of Modern Physics 73, 1067
Link

Dirk Helbing
An Analytical Theory of Traffic Flow (collection of papers)
Link

Michael Batty, Kay Axhausen et al.
Smart cities of the future

Books by Michael Batty
Link

How social influence can undermine the wisdom of crowd effect
Link

Evidence for a collective intelligence factor in the performance of human groups
Link

Optimal incentives for collective intelligence
Link

Collective Intelligence: Creating a Prosperous World at Peace
Link

Big Mind: How Collective Intelligence Can Change Our World
Link

Programming Collective Intelligence
Link

Urban architecture as connective-collective intelligence. Which spaces of interaction?
Link

Build digital democracy
Link

How to make democracy work in the digital age
Link

Digital Democracy: How to make it work?
Link

Proof of witness presence: Blockchain consensus for augmented democracy in smart cities
Link

Iterative Learning Control for Multi-agent Systems Coordination
Link

Decentralized Collective Learning for Self-managed Sharing Economies
Link

Further literature will be recommended in the lectures.