Speakers & Lecture Topics:
Simon DeDeo | Cultural Data Science
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
Assigned reading:
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 | Computational Social Science
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 | Network Science
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
Assigned Reading:
Lecture 1 – please click here
Lecture 2 – please click here
Vittorio Loreto | Dynamics of novelties and innovation
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 | The beneficial role of randomness
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
For the detailed program and schedule please click here.