851-0467-00L From Traffic Modeling to Smart Cities and Digital Democracies
| Semester | Autumn Semester 2021 |
| Lecturers | D. Helbing, S. Mahajan |
| Periodicity | yearly recurring course |
| Language of instruction | English |
| Comment | Number of participants limited to 50. |
Courses
| Number | Title | Hours | Lecturers | ||||
|---|---|---|---|---|---|---|---|
| 851-0467-00 S | From Traffic Modeling to Smart Cities and Digital Democracies Online seminar: This seminar will primarily take place online. Reserved rooms will remain blocked on campus for students to follow the seminar from there. | 2 hrs |
| D. Helbing, S. Mahajan |
Catalogue data
| Abstract | This 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. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | To 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. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | This 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. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Martin 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 https://journals.aps.org/rmp/abstract/10.1103/RevModPhys.73.1067 Dirk Helbing An Analytical Theory of Traffic Flow (collection of papers) https://www.researchgate.net/publication/261629187 Michael Batty, Kay Axhausen et al. Smart cities of the future Books by Michael Batty https://link.springer.com/article/10.1140/epjst/e2012-01703-3 How social influence can undermine the wisdom of crowd effect https://www.pnas.org/content/108/22/9020 Evidence for a collective intelligence factor in the performance of human groups https://science.sciencemag.org/content/330/6004/686.full Optimal incentives for collective intelligence https://www.pnas.org/content/114/20/5077.short Collective Intelligence: Creating a Prosperous World at Peace Link Big Mind: How Collective Intelligence Can Change Our World https://www.amazon.com/Big-Mind-Collective-Intelligence-Change/dp/0691170797/ Programming Collective Intelligence Link Urban architecture as connective-collective intelligence. Which spaces of interaction? https://www.mdpi.com/2071-1050/5/7/2928 Build digital democracy https://www.nature.com/news/society-build-digital-democracy-1.18690 How to make democracy work in the digital age Link Digital Democracy: How to make it work? http://futurict.blogspot.com/2020/06/digital-democracy-how-to-make-it-work.html Proof of witness presence: Blockchain consensus for augmented democracy in smart cities https://www.sciencedirect.com/science/article/pii/S0743731520303282 Iterative Learning Control for Multi-agent Systems Coordination Link Decentralized Collective Learning for Self-managed Sharing Economies https://dl.acm.org/doi/abs/10.1145/3277668 Further literature will be recommended in the lectures. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competencies |
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Performance assessment
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 3 credits |
| Examiners | D. Helbing, S. Mahajan |
| Type | graded semester performance |
| Language of examination | English |
| Repetition | Repetition possible without re-enrolling for the course unit. |
| Additional information on mode of examination | Students 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 link | http://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
| Places | 50 at the most |
| Waiting list | until 10.10.2021 |