Research Institute for Complexity
Science of complex economic, human and natural systems
The transdisciplinary study of complex systems offers innovative solutions to outstanding scientific questions and global societal challenges. It requires the work and contributions of mathematicians, computer and data scientists, physicists, linguists, historians, social scientists and researchers in the fields of humanities, economy, ecology and climatology. In complex systems, growth patterns and final structures are not predictable: no design is possible from a priori knowledge but design possibilties are experimented: it requires evolutionary algorithms to optimize complex systems.
Pattern identification and the study of dynamic interactions in complex systems allow the development of models and simulation tools that fit stylized facts and can be applied in a variety of fields, ranging from climate projections to the implementation of risk management and mitigation strategies and the understanding of behaviours in socio-economic, and natural systems.
Advanced and smart materials, Behavioural models, Big data, Climate science, Complex networks, Computational models, Computing, Data mining, Modelling, simulation and forecasting tools, Network modelling, Pattern identification and analysis, Risk assessment, Risk management, Smart cities and, communities, Systemic risk
High-impact and award-winning projects
GAIN - Green Aquaculture Intensification in Europe
Eco-intensification of European aquaculture is a transdisciplinary challenge that requires the integration of scientific and technical innovations, new policies and economic instruments, as well as the mitigation of social constraints. Successful eco-intensification of aquaculture will provide more and better aquatic products, more jobs, and improve trade balance by reducing imports. GAIN, besides looking at innovative ways of integrating cultured species, will seek integration with other sectors, in order to promote the implementation of the principles of circular economy in Aquaculture.
EeDaPP– Energy efficiency Data Protocol and Portal
Despite some progress has been made in green finance, only a fraction of bank lending and funding (securities) is explicitly classified as green. There is a huge and urgent need of a standardised approach to “green due diligence”. The EeDaPP Project intends to deliver large-scale, granular technical and financial data related to energy efficient mortgages by way of a standardised data protocol to be accessed through a common, centralised portal. The EeDaPP Project will boost the green securities market in terms of size, liquidity and efficiency by providing for the traceability of the performance of energy efficient assets, allowing for the identification of such assets for the purposes of energy efficient covered bond/bond issuance and potentially other derivatives, and by significantly boosting investor confidence in such securities.
BIORIMA- BIOmaterial RIsk MAnagement
The project BIORIMA aims to develop an integrated risk management (IRM) framework for nano-biomaterials (NBM) used in Advanced Therapeutic Medicinal Products (ATMP) and Medical Devices (MD). The BIORIMA RM framework is a structure upon which the validated tools and methods for materials, exposure,hazard and risk identification/assessment and management are allocated plus a rationale for selecting and using them to manage and reduce the risk for specific NBM used in ATMP and MD. BIORIMA will deliver a web-based Decision Support System to help users, especially SME, evaluate the risk/benefit profile of their NBM products and help to shorten the time to market for NBM products.
Smart manufacturing for EU Growth
"MAKERS -Smart Manufacturing for EU Growth and Prosperity" brings together leaders from business, academia and policy to study issues related to the drivers and dynamics of sustaining the competitiveness of EU manufacturing sectors.
The project’s innovative research, training and mobility activities address key concerns related to the historic opportunity for the EU to lead a manufacturing renaissance that not only upgrades existing manufacturing competences but, more importantly, develops new technological capabilities across EU regions to support regional industrial resilience for more distributed and sustainable socioeconomic growth and prosperity.
This project is funded by Horizon 2020 - Research and innovation Staff Exchange (RISE) and is developed at the Ca’ Foscari Economics Department.
Researcher: Mario Volpe
Duration: 01/01/2016 - 31/12/2018
Predicting Tropical Atlantic climate and its impacts
PREFACE - Enhancing prediction of Tropical Atlantic climate and its impacts - is a climate change FP7 project with 28 partners across 18 countries in Europe and Africa, and 3 associate partners directly involved in the sustainable management of the three Eastern boundary large marine ecosystems of the Tropical Atlantic.
Ca’ Foscari leads the work package “Statistical methods to assess and improve forecast of Tropical Atlantic variability (TAV)”.
Linkages and vulnerabilities of the financial system
The FP7 project SYRTO explores the relationships between Sovereigns – Banks and other Financial Intermediaries (BFIs) – Corporations of the European Union the group aims to realize a research center in order to give a formal structure to the mission, objectives and results of the SYRTO project.
This center will use the methodologies developed by the team to produce indicators about the state of the markets, corporates, banks and financial intermediaries, and sovereigns, both through the publication of periodic reports, and through risk indicators.
Developing mathematical tools of information and dynamic-systems theories
A consortium of six European partners have joined forces to carry out original research on complex systems through a common project that aims to develop a mathematical theory of complex multilevel systems and their dynamics.
In addition to considering systems with respect to a given level structure, as is natural in certain applications or dictated by available data, the MATHEMACS project (FP7) has the unique goal of identifying additional meaningful levels for understanding multi-level systems.
This is achieved through a general formulation based on the mathematical tools of information and dynamic-systems theories.