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

SemesterAutumn Semester 2020
LecturersD. Helbing, S. Mahajan
Periodicitynon-recurring course
Language of instructionEnglish
CommentNumber of participants limited to 30.



Courses

NumberTitleHoursLecturers
851-0467-00 SFrom Traffic Modeling to Smart Cities and Digital Democracies2 hrs
Mon18:00-20:00ON LI NE »
D. Helbing, S. Mahajan

Catalogue data

AbstractThis 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.
ObjectiveTo 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.
ContentThis 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.
LiteratureMartin 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.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersD. Helbing, S. Mahajan
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition possible without re-enrolling for the course unit.
Additional information on mode of examinationStudents have to actively contribute to the Seminar and give a presentation of 15 minutes minimum and a maximum of 30 minutes on a subject agreed with the lecturer.

Learning materials

 
Main linkhttp://www.vvz.ethz.ch/Vorlesungsverzeichnis/lerneinheit.view?lerneinheitId=142480&semkez=2020W&ansi
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places30 at the most
Waiting listuntil 04.10.2020

Offered in

ProgrammeSectionType
GESS Science in PerspectiveD-ARCHWInformation
GESS Science in PerspectiveD-INFKWInformation
GESS Science in PerspectiveD-ITETWInformation
Integrated Building Systems MasterGESS Science in PerspectiveWInformation
Science, Technology, and Policy MasterElectivesWInformation