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

Courses

Catalogue data

Abstract	This seminar will present speakers who discuss the challenges and opportunities arising for our cities and societies with the digital revolution.
Learning objective	To collect credit points, students will have to actively contribute and give an individual presentation for around 30 minutes in the seminar on a subject agreed with the lecturer, after which the presentation will be discussed (could be 20 or 40 min, depending on available time). The presentation will be graded.
Content	This seminar will present speakers who discuss the challenges and opportunities arising 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	Dirk Helbing An Analytical Theory of Traffic Flow (collection of papers) Michael Batty, Kay Axhausen et al. Smart cities of the future Books by Michael Batty: How social influence can undermine the wisdom of crowd effect Evidence for a collective intelligence factor in the performance of human groups Optimal incentives for collective intelligence Collective Intelligence: Creating a Prosperous World at Peace Big Mind: How Collective Intelligence Can Change Our World Programming Collective Intelligence Urban architecture as connective-collective intelligence. Which spaces of interaction? Build digital democracy How to make democracy work in the digital age Digital Democracy: How to make it work? Proof of witness presence: Blockchain consensus for augmented democracy in smart cities Iterative Learning Control for Multi-agent Systems Coordination Decentralized Collective Learning for Self-managed Sharing Economies
Prerequisites / Notice	Students need to present a new subject, for which they have not earned any credit points before. Good scientific practices, in particular citation and quotation rules, must be properly complied with. Chatham House rules apply to this course. Materials may not be shared without previous written permission.
Competencies	Subject-specific Competencies Concepts and Theories assessed Techniques and Technologies assessed Method-specific Competencies Analytical Competencies assessed Decision-making fostered Media and Digital Technologies assessed Problem-solving assessed Project Management fostered Social Competencies Communication assessed Cooperation and Teamwork fostered Customer Orientation fostered Leadership and Responsibility fostered Self-presentation and Social Influence fostered Sensitivity to Diversity fostered Negotiation fostered Personal Competencies Adaptability and Flexibility fostered Creative Thinking assessed Critical Thinking assessed Integrity and Work Ethics assessed Self-awareness and Self-reflection assessed Self-direction and Self-management assessed

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, R. K. Dubey
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

Groups

Restrictions

Offered in

Programme	Section	Type
Science, Technology, and Policy Master	Electives	W
Science in Perspective	D-ARCH	W
Science in Perspective	Sociology	W
Science in Perspective	D-INFK	W
Science in Perspective	D-ITET	W