Participants

Currently at UPM, Madrid and IVIC, Caracas.

Juan C. Rocha is a research scientist at the Stockholm Resilience Centre (Stockholm University). His research questions are oriented to understanding critical transitions: from regime shifts in ecological systems, to collective action in society. Currently he is focusing on the idea of cascading effects, this is how a critical transition in an ecosystem in the world can impact the likelihood of other ecosystems tipping over.

Associate Professor of Complexity Science, University of Bristol, U.K.

Author of "What is a complex system", Yale University Press (2020). https://yalebooks.yale.edu/book/9780300251104/what-complex-system

My research focuses on the use of information theory in the study of formation, maintenance and stability of complex systems. Examples are vitrification, protein dynamics, stem cell differentiation, and democracy. This research is part of a long-term project of building a quantitative framework for the dynamics of complex systems, firmly rooted in mathematics, physics, and philosophy of science. Current topics are: philosophical and mathematical foundations of complexity, information theoretic measures of complex systems, complexity in climate change adaptation and mitigation interventions, stability of democracy.

Postdoc at University at Buffalo, State University of New York, USA.
My research interests lie in network science approaches to transportation networks.
Please visit my personal webpage: https://www.kashinsugishita.com/

I am interested in understanding how to use our knowledge of networks to design expert systems in practical settings. As the heart of my research, I've been driven by several basic questions, such as what we can do to promote effective decision-making that is consistent with our goals in social settings and how we can help managers learn from previous experiences and use them effectively to make decisions or solve problems in new situations. My research has a strong interdisciplinary focus that combines theory and practice in the areas of network science, data structures, and machine learning.

I plan to expand my current work in several directions. Based on my interest in network science, I desire to explore the relationship between complex networks and artificial intelligence. Similarly, I will thoroughly study advances in machine learning and data mining. An understanding of machine learning and data structures is crucial for obtaining knowledge about complex networks. In addition, guiding students through their intellectual development has been one of the most rewarding aspects of my academic career. My future research will engage undergraduate and graduate students in interdisciplinary research on using complex networks to model real-world problems and then attempt to apply social media analysis and machine learning techniques to solve them.

Overall, the intersection of network science and artificial intelligence provides a timely new research area teeming with unexplored and well-motivated research directions, which will remain a central theme of my research. In addition to addressing the pressing issues of modeling real-world problems in a machine learning world, I am passionate about pursuing new concepts that expand the spectrum of networks. Meanwhile, I am eager to extend my primary zone and reach out for exciting collaborations with other fields.

Twitter: @KavehKadkhoda
Website: https://kavehkadkhoda.info

I am a PhD student in applied mathematics at the MACSI in the Department of Mathematics and Statistics of the University of Limerick, Ireland. Our group investigate the mathetmatical modelling of social spreading phenomena, often dealing with many aspects of how information spreads in social networks. I would usually focus myself on the computational side of dealing with data and experiments around it, but I don't feel uncomfortable studying models from either the analytical side or the behaviour in simulated settings.

Research Group Leader "Physics of Social Systems" at Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.

Hello there! I'm glad to participate in this conference. It's my very first touch with Complex Systems. I'm an Undergraduate Student in the Physics Department at the AUTh. My "Research Intrest" focus on "Social Physics / Human Dynamics", and I still want to learn more about these areas. I have collected all the required ECTS and I'm working on an extra project, a thesis, related to the mentioned above areas. I aspire to continue my studies (MSc/Ph.D.) in the USA. Τhe rest of the time I'm fascinated by Cosmology.

I'm a Senior Research Scientist at SINTEF Ocean, a maritime and biomarine technology research institute based in Trondheim, Norway. My research encompasses modelling, simulation, and analysis of multiphysical systems, and the applications of such methods to fisheries, ship design, marine operations, and more.

I'm rather new to the field of complex systems science as such, but I'm diligently trying to work my way into it. I believe that the methods of complex systems science can be instrumental in solving several of the research challenges we face in my field.

My background is in theoretical physics. I attained a PhD at the Norwegian University of Science and Technology in 2011 on the topic of strongly interacting matter in extreme conditions (specifically, effective models for QCD at high temperature and density). Though theoretical physics is no longer my day job, I retain a deep interest and passion for it.

PhD Candidate at SEES:lab - Universitat Rovira i Virgili, Tarragona, Catalonia http://seeslab.info/.

Physicist in network science, PhD student at http://seeslab.info

I'm a PhD student under the Complexity Institute at Nanyang Technological University, Singapore. My background is physics and now I work on complex systems applied to transportation models.

Ludmila Deute Ribeiro is a graduate in Physics by the University of Brasilia and she holds a Master's Degree in Complex Systems Modeling from University of São Paulo. Now she is a non-degree student at the PhD Program in Information Systems from University of São Paulo.

I am a Professor of Data Analytics and Machine Learning and Director of Data to Intelligence Research Centre and Data Analytics research Lab at Deakin University, Melbourne Burwood Campus. My expertise is in data driven modelling of complex systems which includes hybrid models based on dynamical systems and machine learning. I am interested in the following domains of application: health and wellbeing, ageing, sport and team performance, defence, energy, decision making and smart materials.

Associate Professor at AGH University of Science and Technology,
Faculty of Physics and Applied Computer Science,
Department of Applied Informatics and Computational Physics,
Complex Systems Group

Head of Complex Multilayer Networks Lab at Fondazione Bruno Kessler, Italy.

Personal website: http://manliodedomenico.com/
Lab website: https://comunelab.fbk.eu/

Satellite MIXNEXT2020: https://manliodedomenico.com/MIXNEXT2020/

I am a theoretical physicist currently focusing on the structure of food webs (trophic networks) in natural ecosystems. I am looking for collaborators.
I work at the Systems Research Institute of Polish Academy of Sciences in Warsaw. I have recently finished a postdoc at the International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.
My talk on Friday, 18 GMT, Room 4: http://ccs2020.web.auth.gr/mass-cycling-weighted-real-world-food-webs-an...
http://www.ibspan.waw.pl/~miskrzyn/

Matthew O. Jackson is the William D. Eberle Professor of Economics at Stanford University and an external faculty member of the Santa Fe Institute and a senior fellow of CIFAR. He was at Northwestern University and Caltech before joining Stanford, and received his BA from Princeton University in 1984 and PhD from Stanford in 1988. Jackson's research interests include game theory, microeconomic theory, and the study of social and economic networks, on which he has published many articles and the book `Social and Economic Networks'. He also teaches an online course on networks and co-teaches two others on game theory. Jackson is a Member of the National Academy of Sciences, a Fellow of the American Academy of Arts and Sciences, a Fellow of the Econometric Society, a Game Theory Society Fellow, and an Economic Theory Fellow, and his other honors include the von Neumann Award, a Guggenheim Fellowship, the Social Choice and Welfare Prize, the B.E.Press Arrow Prize for Senior Economists, and teaching awards. He has served as co-editor of Games and Economic Behavior, the Review of Economic Design, and Econometrica.

Melvyn obtained his master degree and PhD in Theoretical Physics at the Swiss Federal Institute of Technology in Lausanne (EPFL) respectively in 2016 and 2020. Since February 2020 he is working as postdoc researcher at the University of Applied Sciences of Western Switzerland (HES-SO) in Sion. His research focuses on complex network-coupled dynamical systems and the identification of their local/global vulnerability against external perturbations, network inference, opinion dynamics. Tuesday, 17:15 Room 4.

PhD student working on complexity science in clinical psychology
Radboud University, Nijmegen, The Netherlands
Poster presentation on thursday 12:00 GMT

PhD Candidate at The Pennsylvania State University, United States

Michelle Cirunay is currently a Doctor of Philosophy in Physics student in the De La Salle University - Manila. She obtained her B.S. Applied Physics and M.S. Physics degrees from the National Institute of Physics in the University of the Philippines Diliman. Her research interests include city science and the complexity of urban dynamics.