Workshop Quasimodo for Communication, Orienteering and Research
Quantitative Models for Complex Systems
Quantitative Models for Complex Systems is a two-days’ workshop aiming to bring under one umbrella a wide variety of researchers and stakeholders with direct interest in using cutting-edge methodologies and technologies to study and predict the behavior of different types of complex systems. We target an interdisciplinary audience that goes from physics to computer science, neuroscience, social sciences, computational chemistry, economics, and so on. Technological advance is making ever more pressing the necessity to produce quantitative methods and models to manage and analyze data of complex systems and great cardinality (Big Data). Machine learning techniques, explainable artificial intelligence, innovative methods based on graph theory, upcoming quantum technologies and numerical tools, like tensor networks, are strategical to achieve this aim. In the proposed workshop, we will explore how these quantitative models and methods can be used in different fields: early diagnosis, evaluation of therapy and treatment efficacy, recognition of toxicity in chemicals, genomics, personalized medicine, optimization problems and computational complexity reduction. The workshop will host international experts, researchers and scholars in the exploitation of new approaches to study different complex systems with the aim of improving worldwide healthcare and providing versatile tools and models which can be easily optimized and exploited in other important fields: environment politics, economy, education and so on.
Venue:
Aula B
Dipartimento Interateneo di Fisica
Via Giovanni Amendola 173 – Bari
realized within projects:
