Mar 22, 2021—Mar 25, 2021
As the annual CSH Winter School is still on hold due to the ongoing COVID-19 pandemic, we are thrilled to announce our first
taking place from March 22 to March 25, 2021 via Zoom.
While we are of course sad that we have to pause the gathering in the mountains for another year, we are excited that moving the event online allows us to open it up to the public and offer you the opportunity to join excellent lectures by first class scientists.
Simon DeDeo is assistant professor of Social and Decision Sciences at Carnegie Mellon University, and external faculty at the Santa Fe Institute as well as the Complexity Science Hub Vienna. He leads the Laboratory for Social Minds, whose collaborative work appears in journals ranging from Physical Review and Journal of the Royal Society Interface to Cognition and PLoS Computational Biology.
Lecture 1 – Cultural Data Science 1: Pattern Making, Pattern Breaking
Lecture 2 – Cultural Data Science 2: Sense-Making at Scale
Before joining lecture 1, please read this short “crash course” in Information Theory as well as this article.
We recommend you also complete a short “quiz” that will test your knowledge on information theory.
For lecture 2, please read this article.
Fariba Karimi is the Hub’s newest group leader in Computational Social Science. She is also an assistant professor at the Department of Network and Data Science at Central European University. Her current research focuses on computational and network approaches for addressing societal challenges such as gender disparities in collaboration and citation networks, visibility of minorities in social and technical systems, algorithmic biases, and sampling hard-to-reach groups.
Lecture – Current advances in Computational Social Science: Where Network Science meets Computational Social Science
Assigned Reading:
Social Physics: How Social Networks Can Make Us Smarter by Alex Pentland
Experimental evidence for tipping points in social convention. Science (2018) – click here
Homophily influences ranking of minorities in social networks. Scientific reports 8.1 (2018): 1-12. – click here
Computational social science: Obstacles and opportunities. Science, (2020) – click here
Renaud Lambiotte is professor of networks and nonlinear systems at the University of Oxford and a member of the CSH External Faculty. His research interests include network science, data mining, stochastic processes, social dynamics and neuroimaging. He has published around 130 peer-reviewed articles and one book on temporal networks. He is also the co-founder of L’Arbre de Diane, a publishing company at the interface between science and literature.
Lecture 1 – Higher-Order Networks
Lecture 2 – Dynamics and Modularity
Lecture 1 – please click here
Lecture 2 – please click here
Vittorio Loreto has been a member of the CSH Faculty since May 2017. He is also full professor of physics of complex systems at Sapienza University of Rome. Presently he is Director of the SONY Computer Science Laboratories in Paris where he heads the team on “Innovation, Creativity and Artificial Intelligence”. His scientific activity is focused on the statistical physics of complex systems and its interdisciplinary applications.
Lecture 1 – Dynamics of novelties and innovation I
The statistics of the new: Zipf’s, Heaps’ and Taylor’s laws.
Lecture 2 – Dynamics of novelties and innovation II
The notion of Adjacent Possible and its implementation in advanced modelling schemes.
Andrea Rapisarda is professor of theoretical physics at the University of Catania, Italy. He is also the coordinator of a PhD program in Complex Systems for Physical, Socio-economic and Life Sciences, co-director of the International School on Complexity of the Ettore Majorana Foundation in Erice and member of the Council of the Complex Systems Society. His main interests are complex systems, statistical mechanics, deterministic chaos, nonlinear dynamics, complex networks and agent-based models.
Lecture 1 – The beneficial role of randomness: from physics to socio-economic systems: How to face the Peter principle and improve democracy by lot
Lecture 2 – The beneficial role of randomness: from physics to socio-economic systems: How to tame financial markets and improve success in science
By registering for this event, you will be granted access to join all live online lectures and discussion blocks as a listener.
The active participation is reserved to our successful winter school applicants.
We invite graduate students, PostDocs and interested people of any other profession from all countries to join the event. Proficiency in English and a background in science or mathematics will be required.
When registering to the Zoom event as a listener, a EUR 100,– tuition fee will be charged to you via PayPal.
By clicking the button below, you will automatically be taken through the registration steps and receive an email confirmation including the access details to the event.
Should you have any questions about the event or experience any difficulties with registration, please contact us by sending an email to office@csh.ac.at