Rohit Kumar Dubey: Catalogue data in Autumn Semester 2023

Name Dr. Rohit Kumar Dubey
Address
Computational Social Science
ETH Zürich, STD F 7
Stampfenbachstrasse 48
8092 Zürich
SWITZERLAND
E-mailrohit.dubey@gess.ethz.ch
DepartmentHumanities, Social and Political Sciences
RelationshipLecturer

NumberTitleECTSHoursLecturers
851-0467-00LFrom Traffic Modeling to Smart Cities and Digital Democracies Information Restricted registration - show details 3 credits2SD. Helbing, R. K. Dubey
AbstractThis seminar will present speakers who discuss the challenges and opportunities arising for our cities and societies with the digital revolution.
Learning objectiveTo 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.
ContentThis 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.
LiteratureDirk 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 / NoticeStudents 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.
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Decision-makingfostered
Media and Digital Technologiesassessed
Problem-solvingassessed
Project Managementfostered
Social CompetenciesCommunicationassessed
Cooperation and Teamworkfostered
Customer Orientationfostered
Leadership and Responsibilityfostered
Self-presentation and Social Influence fostered
Sensitivity to Diversityfostered
Negotiationfostered
Personal CompetenciesAdaptability and Flexibilityfostered
Creative Thinkingassessed
Critical Thinkingassessed
Integrity and Work Ethicsassessed
Self-awareness and Self-reflection assessed
Self-direction and Self-management assessed