860-0022-00L  Complexity and Global Systems Science

SemesterFrühjahrssemester 2021
DozierendeD. Helbing, S. Mahajan
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch
KommentarNumber of participants limited to 50.

Prerequisites: solid mathematical skills.

Particularly suitable for students of D-ITET, D-MAVT and ISTP



Lehrveranstaltungen

NummerTitelUmfangDozierende
860-0022-00 SComplexity and Global Systems Science2 Std.
Di18:15-20:00RZ F 21 »
D. Helbing, S. Mahajan

Katalogdaten

KurzbeschreibungThis course discusses complex techno-socio-economic systems, their counter-intuitive behaviors, and how their theoretical understanding empowers us to solve some long-standing problems that are currently bothering the world.
LernzielParticipants should learn to get an overview of the state of the art in the field, to present it in a well understandable way to an interdisciplinary scientific audience, to develop models for open problems, to analyze them, and to defend their results in response to critical questions. In essence, participants should improve their scientific skills and learn to think scientifically about complex dynamical systems.
InhaltThis course starts with a discussion of the typical and often counter-intuitive features of complex dynamical systems such as self-organization, emergence, (sudden) phase transitions at "tipping points", multi-stability, systemic instability, deterministic chaos, and turbulence. It then discusses phenomena in networked systems such as feedback, side and cascading effects, and the problem of radical uncertainty. The course progresses by demonstrating the relevance of these properties for understanding societal and, at times, global-scale problems such as traffic jams, crowd disasters, breakdowns of cooperation, crime, conflict, social unrests, political revolutions, bubbles and crashes in financial markets, epidemic spreading, and/or "tragedies of the commons" such as environmental exploitation, overfishing, or climate change. Based on this understanding, the course points to possible ways of mitigating techno-socio-economic-environmental problems, and what data science may contribute to their solution.
Skript"Social Self-Organization
Agent-Based Simulations and Experiments to Study Emergent Social Behavior"
Helbing, Dirk
ISBN 978-3-642-24004-1
LiteraturPhilip Ball
Why Society Is A Complex Matter
Link

Globally networked risks and how to respond
Nature: Link

Global Systems Science and Policy
Link

Managing Complexity: Insights, Concepts, Applications
Link

Further links:

Link

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Link

Further literature will be recommended in the lectures.
Voraussetzungen / BesonderesMathematical skills can be helpful

Leistungskontrolle

Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte3 KP
PrüfendeD. Helbing, S. Mahajan
Formbenotete Semesterleistung
PrüfungsspracheEnglisch
RepetitionRepetition nur nach erneuter Belegung der Lerneinheit möglich.
Zusatzinformation zum PrüfungsmodusStudents are expected to actively contribute to the lectures if there are sufficiently few participants, each one will have to give a 20 minute presentation on a scientific paper selected together with the lecturer. These papers are typically about mathematical derivations and models related to the lecture.

Lernmaterialien

Keine öffentlichen Lernmaterialien verfügbar.
Es werden nur die öffentlichen Lernmaterialien aufgeführt.

Gruppen

Keine Informationen zu Gruppen vorhanden.

Einschränkungen

PlätzeMaximal 50
WartelisteBis 09.03.2021

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GESS Wissenschaft im Kontext (Science in Perspective)D-MAVTWInformation
Science, Technology, and Policy MasterWahlfächerWInformation
Staatswissenschaften BachelorWahlfächerWInformation
Umweltnaturwissenschaften MasterTheoretische Grundlagen der UmweltpolitikWInformation