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In turn, these models will allow for a better understanding of disease progression, and the development of new decision support systems for diagnosis, prognosis and design of clinical trials. Key methodological domains: Statistical and machine learning, Medical image processing, Morphometry, statistical shape analysis, Complex networks theory, Graph analysis, Longitudinal models.

Mission: The functioning of cellular processes, the organization of a biological organism, social dynamics and the behavior of many materials are complex phenomena emerging in a non trivial way from the interaction of an ensemble of elementary elements. To tackle the scientific and technological challenges posed by complex systems we need a new interdisciplinary approach that can help us to interpret the growing amount of data in all these fields of research.

The CPT is currently the largest theoretical physics laboratory in France, with more than 50 permanent researchers in 10 teams. The current research carried out at CPT covers a vast area of topics, ranging from the study of fundamental interactions, of many body systems, to that of rigorous mathematical physics in various aspects. CPT develops interdisciplinary research activities is such diverse areas as: fundamental sciences high energy physics and cosmology , nanosciences, hydrodynamics, plasma physics, complex systems with interdisciplinary applications , mathematics both pure and applied , and biophysics.

The C3 is a meeting place for interdisciplinary researchers to use the scientific study of complex systems for addressing national and global problems. Our research is at the edge of statistical physics, applied math and computer science. We use mostly network and data science to study structure, dynamics and resilience of real-world complex systems. We are interested in the mathematical description and modelling of the architecture and dynamics of complex systems. Our main goal is to understand how a complex system self-organizes and how various collective behaviours emerge when a large number of units or dynamical systems interact through non-trivial networks.

We make use of mathematical tools from graph theory, statistical mechanics and nonlinear dynamics, and large-scale numerical simulations.

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We are interested in applications to biology, social systems, and man-made networks, where we address both fundamental problems as well as applied research with some industrial collaborators. Yamir Moreno. The core of our research activity is aimed at investigating the laws governing the structure and dynamics of complex networked systems. You will find more specific information about all the previous research lines in our webpage. Study the mechanisms of information processing and control in Complex Systems, such as the living systems, human systems, social systems and technological systems.

In particular, study the detection, processing and transmission of information in such systems as well as measurement, automation and control of their internal processes. Perform conceptual, theoretical, methodological and technological contributions to solve problems related with Complex Systems. Philosophical, theoretical and methodological fundamentals about the analysis and synthesis of Complex Systems.

It is used by the following research groups:. Instant information and social media are game changers for future urban applications. We investigate the interplay of mobility and social dynamics. Social ties move similarly.

We extract Origin—Destinations at urban scale based on mobile phone data. Congested roads can be connected to their driver sources where the users live. The major usage of a road segment can be linked to surprisingly few driver sources. A new classification of roads for mobility analysis of road systems. As an institute for advanced studies, IMT hosts researchers who carry out methodological research, held to high scientific standards, leading to the development of new knowledge. IMT's specially designed campus fosters the continual presence of visiting scholars that contribute to creating a stimulating and intellectually lively environment.

At the same time, IMT is also an institute of technology where numerous research projects are undertaken to apply cutting-edge scientific results to solve problems of economic, industrial, and societal interest. The pillars of the institute's research model are its thematic research units, highly specialized in a specific field, that often cooperate in interdisciplinary projects. IMT's institutional role is also that of a graduate school where knowledge is transmitted to young PhD students.

The multidisciplinary PhD program of IMT, organized into thematic curricula, promotes the full integration of research and education. An appropriate balance of methodological rigor and applicative relevance is emphasized to best prepare IMT's PhDs in finding key appointments in research centers, companies, and public institutions. Research is therefore organized in terms of research lines, rather than research groups.

Introducing the 2018/19 ‘Cutting Edge Issues in Development’ Lecture Series

The Institute for New Economic Thinking at the Oxford Martin School INET Oxford is a multidisciplinary research institute dedicated to applying leading-edge thinking from the social and physical sciences to global economic challenges. INET Oxford is unique in its ability to bring these multiple perspectives to bear on problems that include:.

INET Oxford researchers work closely with policy-makers and leaders in business and civil society to bring new economic ideas and thinking into debates and practice in the public, private and non-profit sectors. In addition to its applied work, INET Oxford conducts theoretical and empirical research on economic issues using innovative approaches and tools ranging from complex systems theory and agent-based modelling, to network analysis, novel econometric techniques, behavioural and experimental economics, and "big data" techniques.

INET is a philanthropic foundation based in New York that was founded in in the wake of the financial crisis to promote innovative, cross-disciplinary, policy-relevant economic research. Its core mission is the promotion of scientific research within the international cooperation, fostering the creation of research groups and of innovative and interdisciplinary labs, with a special focus on the science of complex systems.

The science of complexity pursues, among others, the aim of creating a new connection between basic and applied science in helping to face and solve some of the essential issues of contemporary society. The challenge of complexity has now become a sort of paradigm of modernity, and Torino and Piemonte have nowadays become one of the most important international locations in such fundamental research. Thanks to the support of the public founding members and to the continuous cooperation with the CRT Foundation in particular with the Lagrange Project and the Compagnia di San Paolo, the ISI Foundation was able to tackle, by new frontiers research projects, bold paths, settling itself among the main research centres for complexity.

The Institute of Economics at Scuola Superiore Sant'Anna Pisa, Italy carries out research and training activities in the field of empirical and theoretical economics. Its main lines of research include: - Economics of innovation and technical change - Decision making and change in organizations - Industrial dynamics - Complex systems and economic networks - Evolutionary foundations of macro-economics - Evolutionary finance - Technological change and economic history - Industrial and technological policies in industrialized and developing countries - Welfare and environmental economics The Institute of Economics welcomes and favors dialogue between empirical investigations, theoretical developments and normative contributions - concerning both corporate management and public policies - offering an interdisciplinary environment in which different research interests and competencies, ranging from Economics, to Mathematics and Physics meet and can be fruitfully integrated.

Due to the participation to various national and international research projects, its researchers are well nested in an international network. The MoBS laboratory is home to research projects aiming at developing innovative mathematical models and computational tools to better understand, anticipate and control large-scale complex networks and systems. In the spirit of the motto "interdisciplinarity is dialog" the aim of the Lab is to face biological and ecological problems in collaboration with experts of the field.

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Our programs challenge participants to think about global issues from a new perspective, to expand their network outside their normal fields, and seek solutions to real world data-rich problems informed by cutting-edge scientific research. No background in science or mathematics is required. We aim for this course to be an intimate experience, space is very limited and is available first-come-first-served.

Our Ethos: The University of Vermont Complex Systems Center is a highly collaborative, open, and playful space that embraces intellectual curiosity, kindness, and rigor. Our educational programs are meant to be an idea collider. They bring together faculty and participants from many fields and spark new collaboration. Our aim is to foster a community of complexity researchers and practitioners who are open, collaborative, and hungry for rigorous solutions to complex problems.

Symposium Faculty. I am also interested in increasing the use of technology in behavioral interventions to increase their attractiveness and their reach.

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Alongside the treatment research, I am also interested in studying alternative tobacco product use among women of reproductive age using publicly available national datasets, as well as in how broader public health efforts or regulatory policies might reduce tobacco use among this population. He has applied principles of chaos theory to improve weather forecasts as a member of the Mathematics and Climate Research Network, and developed a real-time remote sensor of global happiness using messages from Twitter: the Hedonometer.

Joshua M. She has a long-standing interest in behavioral science and has focused her career on measuring and changing a variety of behaviors. Her current research interests include motivating health-related behavior change and the use of tobacco in vulnerable populations such as those with chronic medical conditions. His research involves network theory, statistical physics and nonlinear dynamics along with their applications in epidemiology, ecology, biology, and sociology.

  • The University of Vermont Complex Systems Center.
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  • Recent projects include comparing complex networks of different nature, the coevolution of human behavior and infectious diseases, understanding the role of forest shape in determining stability of tropical forests, as well as the impact of echo chambers in political discussions. Previous to this, he lived and worked with Partners In Health in Rwanda for five years. One of his main research interests is in Reverse Engineering the Human Brain A detailed characterization of the human brain, its structural and functional underpinnings, remains on the frontier of modern science.

    The University of Vermont Complex Systems Center

    Neurological research is important not only for its intrinsic interest, but for the purpose of better understanding diagnosing and treating neurological disorder as well. Happily, along with many other fields, neuroscience is entering an era of "Big Data" in which a new approach is possible: analyze the data, using some new and exciting computational methods, to generate hypotheses about brain function, which can then be tested on independent data.

    Using data from functional Magnetic Resonance Imaging fMRI , and computational techniques inspired by biological evolution, we attempt to discover interactions among regions of the brain while a subject is either at rest, or performing certain tasks. This approach allows the discovery of meaningful information about brain function that an MRI researcher might not hypothesize directly. Futhermore, the method makes no linear assumption, and can thus uncover brain function not discoverable by standard analytic techniques. Paula M.

    Additionally, she has been awarded a five year NIH K award grant focusing on CAM use, stress, and dietary supplement in the inner city under served medical patients.

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    Her research concentration is patient-oriented research regarding chronic pain and evidenced based integrative medicine access in low income patients. Her research focuses on innovative technologies such as Embodied Conversational Agents and Our Whole Lives; a Holistic online toolkit that teaches mind body techniques. Gardiner lectures nationally and internationally.

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    She has published over 78 reviewed papers on chronic pain, technology, dietary supplements, pregnancy, preconception care, stress, and complementary medicine in under served patients. Peter Dodds Happiness and the Hedonometer Director, Vermont Complex Systems Center Dodds's research focuses on system-level, big data problems in many areas including language and stories, sociotechnical systems, Earth sciences, biology, and ecology.

    Obesity from a complex systems perspective Ross A.