Implementation and development of computational technology. Main products: data analytics and data-based models (based on information and network theory, and statistical physics/stochastic processes), smart portfolio decision models, traceback analyses, forecasting models, ML data mining models, causal attribution methods, global sensitivity and uncertainty analysis, ecohydrological predictions, climate impact assessment, systemic environmental risk assessment, ecological predictive models, ecological engineering, and ecosystem design.

Transdisciplinary research related to the Environment. Some projects were about - food system analysis and design with attention to foodborne diseases - ecohydrological and social control on emerging infectious diseases- emissions and population health causation - aesthetic computing- species interactions under climatic extremes

http://www.idran.net/en/Complex Ecosystem DynamicsEcosystem Space-time PredictionsFlood and Water-based Disasters Ecological Networks in EcosystemsClimate ImapactsSystemic Risk Ecosystem Health

Nexus Group (PI)Graduate School of Information Science and TechnologyDivision of Frontier Science & Media and Network TechnologiesDepartment of Electronics and Information Engineering, Faculty of Engineering Gi-CoRE Station for Big Data & Cybersecurity, Gi-CoRE Initiative Hokkaido University, Sapporo, JPhttp://www.ist.hokudai.ac.jp/eng/

https://gi-core.oia.hokudai.ac.jp/main/

Key Technology partnership Faculty Fellow at the School of Electrical and Data Engineering (Faculty of Engineering and Information Technology). The specific project will seek for understanding collective dynamic decisions in animals leading to emerging patterns (Biomimicry), and their technological implementation (Ethorobotics). A specific application will look into modeling and field testing of autonomous bird-inspired flying drones.A second project was generated with the Climate Change Cluster about: (1) fingerprinting the ocean microbiome for ocean health assessment; and (2) blue carbon budget assessment of Blue Carbon ecosystems facing sea-level rise

Chief Scientific Officer. Responsible for implementation and development of computational technology for natural and man-made ecosystems. Data analytics, smart portfolio technology, automated traceback analysis, forecasts, global sensitivity and uncertainty analysis, ecohydrological predictions and engineering system design, causal attribution methods.

The work at IAS was proposed under the project name ''HumNat-Health: From People, to People. Theory, Computers, Art''The advancement of science imposes the interaction of models and laypersons to manage and prevent negative outcomes of complex human-natural systems. This project aimed to develop a computational environment enabling clinical researchers, experts from other disciplines, and stakeholders to execute computing experiments on a distributed grid infrastructure. Additionally, the project established the collaboration with the Moving Cell Project (http://ias.umn.edu/2011/09/22/moving-cell-2/) to recreate a dance reproducing the dynamics of diseases in population and to explain the role of uncertainty in complex adaptive systems. Matteo Convertino is Assistant Professor in the UMN School of Public Health’s Division of Environmental Health Sciences, and Principal Investigator of the HumNat Lab for Analysis, Modeling and Management of Complex Biological and Socio-technical Systems. He is also a Resident Fellow of the Institute on the Environment. http://ias.umn.edu/2015/09/04/convertino/

HumNat Lab - Laboratory for the Analysis, Modeling and Management of Complex Biological and Socio-technical Systems. Health Engineering, Complexity Science, Data Science, Model Design, Visualization.The lab is now framed within a larger Center for Systems Intelligence and Strategic Design (SISD) that is open to any other collaboration with different centers and groups. SISD institutionalizes the activity of the HumNat Lab that is the core group of Dr. Matteo Convertino in academic settings.

Ecosystem Health, One Health, Global Health

Sustainable Management Actions via Resilient Technology (S.M.A.R.T.) or informally ''Science Meets Art'' Advanced Computational Technology for Applications of Research Models into Real World Challenges.- Evaluation of impacts on the natural and built environment - Ecosystem design and management- Portfolio optimization of Resource Allocation- Network inference & Design- Global Sensitivity and Uncertainty Analyses

Institute of Forest Ecology, Environment and Protection Chinese Academy of Forestry

Department of Agricultural and Biological Engineering - Institute of Food and Agricultural SciencesWater Institute, Florida Climate Institute, and SustainableUF FacultyFrazier Rogers Hall, Museum Road, PO box 110570, 32611-0570University of Florida, Gainesville, USAModeling Complex Human-Natural Systems. In particular I was involved in two main projects. One sponsored by SERDP about modeling sea-level rise in FL and finding the optimal design and management of ecosystems to face sea-level rise; and, the another sponsored by NSF about modeling the fate of a tri-national rainforest in the Amazon basin. Further collaborations were about working with the Risk and DecisionsTeam of USACE in Boston.

Risk and Decision Science TeamEnvironmental Laboratory

Ing. Aldo Gini fellow; I. Rodriguez-Iturbe Ecohydrology group (Environmental Engineering and Water Resources Program at the Civil and Environmental Engineering Department) and Simon Levin Biocomplexity group (Ecology and Evolutionary Biology Department)

Aquaterra EU project

Complex Systems in the Environment (Hydrology, Ecology, Geomorphology)