Found 19 relevant results in 1.96s where lecturer="Dirk Helbing"
This course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. Students and other guests are welcome.
This course introduces mathematical and computational models to study techno-socio-economic systems and the process of scientific research.Students develop a significant project to tackle techno-socio-economic challenges in application domains of complex systems. They are expected to implement a model and communicating their results through a seminar thesis and a short oral presentation.
Blockchain and Internet of Things technologies hold the promise to transform our societies and economies. While IoT devices allow us to measure all kinds of activity by humans and machines, the blockchain allows us to securely time-stamp and value this data and even give it a price to trade it on (new) markets. We explore this potential with a specific focus on sustainable development.
This colloquium offers an opportunity to discuss recent and ongoing research and scientific ideas in the behavioral sciences, both at the micro- and macro-levels of cognitive, behavioral and social science.The colloquium features invited presentations from internal and external researchers as well as presentations of doctoral students close to submitting their dissertation research plan.
Colloquium Behavioral Studies
Kolloquium Behavioral Studies
Within the colloquium current research papers in the area of behavioral studies are presented. Student participants gain insight into practical research in social sciences and write an own paper on one of the topics presented in the colloquium.
This course introduces mathematical and computational models to study techno-socioeconomic systems and the process of scientific research. Students develop a significant project to tackle techno-socio-economic challenges in application domains of complex systems. They are expected to implement a model and to communicate their results through a project report and a short oral presentation.
This 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.
The seminar aims at three-fold integration: (1) bringing modeling and computer simulation of techno-socio-economic processes and phenomena together with related empirical, experimental, and data-driven work, (2) combining perspectives of different scientific disciplines (e.g. sociology, computer science, physics, complexity science, engineering), (3) bridging between fundamental and applied work.
The mini-course 'Controversies in Game Theory' consists of four course units that provide an in-depth introduction to issues in game theory motivated by real-world issues related to the tensions that may result from interactions in groups, where individual and collective interests may conflict. The course integrates theory from various disciplines.
This course introduces how techno-socio-economic systems in our complex society can be better understood with techniques and tools of data science. Students shall learn how the fundamentals of data science are used to give insights into the research of complexity science, computational social science, economics, finance, and others.
This seminar will address ethical challenges coming along with new digital technologies such as cloud computing, Big Data, artificial intelligence, cognitive computing, quantum computing, robots, drones, Internet of Things, virtual reality, blockchain technology, and more.
This seminar will present speakers who discuss the challenges and opportunities arising for our cities and societies with the digital revolution.
The course explores how digital tools and participatory methods (such as participatory budgeting, citizens’ assemblies, and remixing) can strengthen civic engagement. Students from diverse fields collaborate in teams of 3-5 people to design and prototype innovative open-source tools that enhance participation, deliberation, and transparency.
Introduction to Sociology: Concepts, Theory and Models
Einführung in die Soziologie: Konzepte, Theorien und Modelle
This lecture introduces fundamental problems of sociology. In this connection, I will discuss theoretical concepts of sociology, referring to ideas of its historical "godfathers". Where possible, simple mathematical models will be introduced.
The lectures present mathematical models of attitude formation, decision-making, and human behavior, in particular in situations of social interactions. Particular attention is paid to the emergent self-organization and breakdown of cooperative behavior.
The Participatory Resilience hackathon aims to discuss and create potential solutions to address problems related to urban resilience using open-source digital tools and participatory methods. It will allow participants from different backgrounds and expertise to exchange ideas, discuss best practices, and build innovative open-source solutions that promote participation and resilience.
This colloquium presents a collection of typical challenges addressed in the social sciences(e.g. interactive decision making, group dynamics, social networks, and strategic cooperation).A particular focus is laid on mathematical modeling and computer simulation approaches. The speakers are internationally well-known experts in the field.
This colloquium presents a collection of typical challenges addressed in the social sciences(e.g. interactive decision making, group dynamics, social networks, and strategic cooperation).A particular focus is laid on mathematical modeling and computer simulation approaches. The speakers are internationally well-known experts in the field.
The lectures present mathematical models of human coordination in space and time, addressing subjects like pedestrian motion, crowd dynamics, freeway traffic and material flows in networks. Particular attention is paid to the spontaneous formation (emergent self-organization) and breakdown of cooperative spatio-temporal patterns of motion.