Elisa Furlan​

Co-Leader, Risk and adaptation of marine coastal socio-ecological systems
Leader, Scenarios analyses for marine coastal ecosystems management Co-Leader, Mapping of nature-based solutions

Elisa is a Junior Scientist at CMCC. She holds a Ph.D. in Environmental Science from the University Ca’ Foscari Venice. She works on climate risk, impact and vulnerability assessment at the Euro-Mediterranean Center on Climate Change. 

Her research focuses on the development and application of complex systems analysis tools and machine learning models for the evaluation of interactions, and possible cumulative effects, among climate-driven and local/global anthropogenic pressures affecting marine and coastal ecosystems. She has been involved in several EU projects (TRITON, SAVEMEDCOASTS1-2, PERSEUS, OrientGate, CLIMRUN, PEGASO) contributing to the design and application of risk- based approaches for the assessment of potential impacts arising from future climate change scenarios and management measures.

Within the Project, Elisa aims to disentangle complex inter-relationships and feedbacks between ecosystems, ecological condition, climate change and ecosystem services flow, exploiting cutting edge machine-learning methods for multiple ‘what-if’ scenarios analysis
Elisa’s vision for MaCoBioS is to exploit activities developed under the work packages she is working on and in the tight connection with the other work packages. She hopes to reinforce the ecosystem risk concept to efficiently implement ecosystem-based assessment and management measures allowing to better face cumulative impacts affecting marine coastal ecosystems and adapt to climate change scenarios.

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Silvia Torresan

Leader, Risk and adaptation of marine coastal socio-ecological systems.
Silvia is a senior scientist in climate risk, impact and vulnerability assessment and co-drector of the research division ‘Risk assessment and adaptation strategies’ at the CMCC (since 2015).
PhD in Science and Management of Climate Change at the Ca’ Foscari University of Venice (year 2012), she has more than 10 years of experience in the development and application of methodologies for the assessment of environmental impacts and risks related to climate change and anthropogenic hazards in coastal and marine areas, river basins, groundwater and related ecosystems.
Particular emphasis is given to the development of vulnerability and risk indexes and multi-risk assessment, based on Multi-Criteria Decision Analysis and complex system analysis techniques, and in the development of Decision Support Systems facilitating the definition of risk management and adaptation strategies.
She has experience in spatial analysis and mapping of climate change vulnerability based on the application of various GIS tools (e.g. ESRI, ArcMap). She has experience in the coordination of multidisciplinary research groups, in the development of national and international project proposals and in project management.
Furthermore, she was Division Manager at CMCC from 2012 to 2016 and has been WP leader or Task leader in several national and international projects (e.g. TRITON, SAVEMEDCOAST, EniAdapt, CLIM-RUN, TRUST).
She is author/co-author of more than 25 peer-reviewed publications in volumes and scientific journals, with Scopus H-index: 10, and G-Scholar H-index: 13, respectively.

Rita Lecci

Cross-cutting data management

Rita is a Scientist at CMCC. Her research focusses on operational oceanography
Within the project, Rita is in the data manager of the different tasks she is involved in.

Hung Vuong PHAM​

Contributor, Risk and adaptation of marine coastal socio-ecological systems

Vuong is a Postdoctoral Researcher at the CMCC. His research interests are climate change, risk assessment, scenario analysis, ecosystem model and ecosystem services.
Within the project, Vuong is involved in the literature review and the development of the Multi-risk assessment framework under task 2.1. He is also involved in the scenarios analysis for marine coastal management based on the developed framework as part of task 2.3. He is also involved in supporting other work packages.
With the project Vuong hopes to expand the scientific networks working on marine and coastal ecosystems.

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Elena Allegri

Contributor, Risk and adaptation of marine coastal socio-ecological systems
Contributor, Nature-based solutions to climate change adaptation and mitigation

Elena is a Junior researcher at CMCC. Her main research interests are on evaluating new solutions to face cumulative synergic impacts affecting marine ad coastal areas and on developing nature-based solutions to adapt to and mitigate climate change effects.
Within the project, she is involved in designing a multi-risk assessment framework that describes the inter-relationships and feedbacks occurring between multiple endogenic and exogenic pressures. She is also involved in developing the most suitable nature-based solutions to face the multiple risks affecting marine and coastal ecosystems under a changing climate.

Paola Agostini

Contributor, Stakeholders identification and policy review Contributor, Dialogue with stakeholders for the establishment of effective NBS

Paola is the Science Manager at CMCC. Her main interests, beyond project management, include communication and outreach, policy development, stakeholders’ engagement and ocean literacy.

Within MaCoBios, Paola will mainly work for the identification and engagement with local stakeholders in the case study of the Apulia region, Italy.

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Christian Simeoni

Contributor, Risk and adaptation of marine coastal socio-ecological systems

Christian is a Doctoral Researcher at the Ca' Foscari University of Venice and is involved in the work of CMCC. His research focus is to Evaluate new solutions to face cumulative synergic impacts affecting marine ad coastal areas.

Within the project, he is involved in the review the state-of-art on existing studies and applications focusing on cumulative impacts appraisal in marine and coastal ecosystems. This will help to design a multi-risk assessment framework describing all the involved inter-relationships and feedbacks between multiple endogenic and exogenic pressures. He also participates in the design of a machine learning-based model that will be used for scenario analysis, simulating multiple ‘what-if’ multi-risk scenarios, representing different climate conditions and management measures.                                   

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