The science of complex systems provides the framework for understanding patterns of behavior, and their emergence, at multiple scales in social and other types of systems. The analytical toolsets provided by AI and Machine Learning are good to recognize and measure such patterns in the data. The combination of pattern recognition and generation mechanisms provides an opportunity to advance our understanding of the complexity of real systems. Ultimately, we could benefit from such complexity, rather than being endangered by it, design better technologies, decisions and strategies.
- Show new ways to model complex and social systems by means of big data analysis, machine learning and AI.
- Explore new ways to analyze the data, taking into account the complexity of underlying systems.
- We would like to address how to formulate the right questions and retrieve the relevant information.
The opportunities available from big data and machine learning could solve challenging problems but we must analyze and interpret the data properly. Wrong assumptions and simplified views could separate modeling from reality. We expect to raise awareness about interventions in complex systems, the risk we face when societies become global, the opportunities that are created, and the role of complexity in data analytics.
IEEE SSCI is a flagship annual international conference on computational intelligence sponsored by the IEEE Computational Intelligence Society, promoting all aspects of theory, algorithm design, applications and related emerging techniques. As a tradition, IEEE SSCI 2019 will co-locate a large number of exciting symposiums, each dedicated to a special topic within or related to computational intelligence, thereby providing a unique platform for promoting cross-fertilization and collaboration. IEEE SSCI 2019 will be featured by keynote speeches, panel discussions, oral presentations and poster sessions.
Xiamen, China December 6-9, 2019
15-17 July 2019
Max Planck Institute for the Physics of Complex Systems, Dresden, Germany
Approaches and techniques from Physics, Mathematics and Computational Science are increasingly becoming critical for understanding and modelling the brain, and also for designing and interpreting experiments. Modeling is an essential tool to cut through the vast complexity of neurobiological systems and their many interacting elements.
ConTaMiNEURO 2019 wants to convey central ideas, methods, and practices of modern computational neuroscience through a combination of lectures, tutorials, and seminars. During the course’s mornings, distinguished international faculty deliver lectures and seminars on selected topics in computational neuroscience (see below). For the remainder of the time, students work on research projects in teams of 3-4 people under close supervision of expert tutors and faculty. Research projects will include data analyses and the development of theories to explain experimental observations.
Thanks to the support of our sponsor, the early bird registration fee for Ph.Ds students and Post Docs is 200 Euro, the deadline is 30 June 2019. MAX 40 participants.
An amazing line uo of Invited Speakers:
Ken Miller, Columbia University, USA. Yiota Poirazi, IMBB-FORTH, Creta. Nicolas Brunel*, Duke University, USA. Andrea Brovelli, University of Marsille. Jordi Soriano, University of Barcellona Mazzuccato Luca, University of Oregon Stefano Panzeri, IIT Rovereto Jesus Cortes, IKERBASQUE: The Basque Foundation for Science Lucilla De Arcangelis, University of Campania Raffaella Burioni, University of Parma Gustavo Deco, Pompeu Fabra University, Barcelona Jonathan Touboul, Brandeis University (USA) Susanne Ditlevsen, University of Copenaghen Alessandro Treves, Trieste SISSA Misha Tsodyks, Weizmann Institute of Science Eleni Vasilaki, University of Shieffield Marcello Pelillo, European Center of Living Techonology & University of Venice Tommaso Fellin, IIT Genova Maria Victoria Sánchez Vives , ICREA-IDIBAPS (Barcelona) Marco dal Maschio, University of Padova Serena del Santo, University of Granada Lorenzo Fontolan, Janelia Research Campus
NetSci-X, the Network Science Society‘s signature winter conference, will visit Tokyo, Japan in 2020. Bringing together leading researchers and innovators, NetSci-X 2020 will connect Japanese culture of innovation and hospitality with the novel perspectives of Network Science.
NetSci-X 2020 will include
- Main conference (plenary and parallel sessions, poster sessions) on January 20th — 22nd
- One-day network science school on January 23rd