Progetto Cloe

18/09/2026

CLOE Final Conference - Day 2

17/09/2026

After a very rich first day, the second day of the CLOE final conference has just kicked off at Sala delle Grida in Genoa

23/06/2026

There’s still time to submit your abstract for the CLOE project’s final conference! ⏰

Deadline: 28th of June 2026

Genova, 16-18 Septermber 2026
https://cloe.dp.unige.it/it/node/1335

📢 CLOE Final Conference 2026 📢

We are pleased to announce the Call for Abstracts for the final conference of the CLOE project (MSCA – Cofund DP 2020) “Training to complexity: multidisciplinary approaches to rural and mountain sustainable development and conservation”.

📍Genova (IT)
🗓️16th - 18th September 2026

The aim of the conference will be to engage the scientific community, policymakers, experts and citizens in a discussion based on research findings regarding possible strategies, and their challenges, for advancing the social and environmental protection of mountain ecosystems building an economically and socially sustainable future for rural areas.

We welcome contributions from young researchers (e.g., PhD, early stage reseracher) that investigate the Project's main topic under environmental, historical, socio-political, economic, engineering, sociological, and legal perspectives.

To find out more and for full details of the Call for Abstracts, please visit the dedicated website https://cloe.dp.unige.it/node/1335.

13/05/2026

📢 CLOE Final Conference 2026 📢

We are pleased to announce the Call for Abstracts for the final conference of the CLOE project (MSCA – Cofund DP 2020) “Training to complexity: multidisciplinary approaches to rural and mountain sustainable development and conservation”.

📍Genova (IT)
🗓️16th - 18th September 2026

The aim of the conference will be to engage the scientific community, policymakers, experts and citizens in a discussion based on research findings regarding possible strategies, and their challenges, for advancing the social and environmental protection of mountain ecosystems building an economically and socially sustainable future for rural areas.

We welcome contributions from young researchers (e.g., PhD, early stage reseracher) that investigate the Project's main topic under environmental, historical, socio-political, economic, engineering, sociological, and legal perspectives.

To find out more and for full details of the Call for Abstracts, please visit the dedicated website https://cloe.dp.unige.it/node/1335.

12/08/2025

🌍 Findings from My PhD Research on Climate Change Risk & Adaptive Behaviour
Over the course of my , I investigated how behavioural economics, institutional structures, and policy design can accelerate climate change adaptation in the energy and agriculture sectors.
this matters: Climate change impacts are intensifying, but the perception–action gap remains significantly wider. People know about the risks, yet fail to adapt. My work sought to understand why and develop solutions that work in practice.
🛠 insights
I used a three-part methodological approach tailored to each research question.
1. Review synthesises global evidence on behavioural biases and climate risk misperceptions.
2. & GSEM Modelling capturing hidden relationships between perception, awareness, and behaviour in Italy’s energy transition.
3. COM-B behavioural science model maps how capability, opportunity, and motivation shape farmers’ adaptation to extreme weather.
🔹 1 – Flood Risk Adaptation (Nudges, Policies, Solutions)
- ’ climate risk perceptions are distorted by cognitive biases and bounded rationality.
- (default settings, framing, social proof) improve adaptation without removing choice.
- failures and institutional barriers hinder large-scale change. - tools + incentives can create virtuous cycles.
🔹 2 – Energy Transition in Italy
- perceptions are the strongest driver of behaviour change in energy adaptation.
- alone is not enough - Awareness + behavioural interventions bridge the gap.
- deficits on renewables slow adoption; targeted nudges help close the gap.
- of model matter? GSEM instead of SEM revealed stronger direct and indirect effects on awareness, perception, and behaviour + corrected the inflated direct effects caused by treating ordinal data as continuous.
🔹 3 – Adaptive Behaviour of Agricultural Firms
- , opportunity, and motivation are the three pillars of adaptation.
- financial incentives cannot change individuals' behaviour towards climate adaptation (the Italian case).
- perception mediates behaviour change; trust and governance expand opportunities.
- sparks a feedback loop—more motivation → more capability-seeking → more adaptation.
📌 to Policy & Practice
1. Created a behavioural–institutional framework linking cognition, market dynamics, and policy levers.
2. Developed a diagnostic tool for adaptation challenges and intervention design.
3. Directly support the EU Green Deal and Farm-to-Fork Strategy objectives.

💡 takeaway: Integration of behavioural science with conventional policy tools needs systematic institutional reform to enhance adaptive behaviour and close the climate risk awareness gap.

01/07/2025

🌍 Proud to have been a participant in the Behavioural International Challenge 2025!

It was an incredible experience sharing the stage with such brilliant minds from around the world. Huge congratulations to Neelanjana and Disha Mukherjee for their inspiring win! 👏

To all fellow participants—your creativity, passion, and bold thinking made this journey unforgettable. Let’s keep using behavioural science to drive real change. This is just the beginning! 💡🌱
Once again, thank you Prof. Lorenzo Lotti, PhD PFHEA and other panelist’s.

🌍 Proud to have been a participant in the Behavioural International Challenge 2025! It was an incredible experience sharing the stage with such brilliant minds from around the world. Huge congratulations to Neelanjana and Disha Mukherjee for their inspiring win! 👏 To all fellow participants—...

13/05/2025

📢 Excited to share: Our ESR Muhammad Asim Amin had the opportunity to present at ALTERNATIVE ENERGY SOURCES, MATERIALS AND TECHNOLOGIES (AESMT’25), 13 - 14 May, 2025, Sofia, Bulgaria 🌱⚡

🎓 Paper Title: Flexibility Trading Through Load Reshaping in Energy Communities Using Deep Reinforcement Learning.

🔍 - Energy Communities (ECs) play an essential role in the active engagement of end-users and deployment of Renewable Energy Sources (RES) and contribute to net-zero carbon emissions.
- In ECs, several entities/homes join to exchange a surplus or demand reduction during peak hours with the grid.
- For this work, a Deep Reinforcement Learning based Multi-Agent Approach is adoped to optimally calculate flexibility from the end user.

If you need any assistance and want to discuss our ESR, you can reach him: https://rubrica.unige.it/personale/UkFFWl5g

23/04/2025

📢 Excited to share: Our ESR Muhammad Asim Amin had the opportunity to present remotely research at the 12th IEEE Conference on Technologies for Sustainability (SusTech 2025), held in Santa Ana, California, April 20-23, 2025 🌱⚡

🎓 Paper Title: Cost Optimization Incorporating Photovoltaic Power Forecasts Using Neural Networks in an Energy Management System

🔍 The work focused on integrating accurate PV power forecasting using Recurrent Neural Networks (RNNs) into Energy Management Systems (EMS) for smarter and more cost-effective energy dispatching for the case study of Savano Campus, University of Genova, Italy. The study compared real-time vs. daily forecast updates, showing that hourly updates significantly improve cost optimization and energy predictions.

🌞🔋 Sustainable tech meets AI-driven energy management!

If you need any assistance and want to discuss our ESR, you can reach him: https://rubrica.unige.it/personale/UkFFWl5g

11/02/2025

'ESR Iram Parvez'

Iram Parvez is an Early Stage Researcher (ESR) specializing in hydrology,machine learning applications in environmental engineering. As part of her research, she focuses on developing advanced forecasting techniques for groundwater level prediction using data-driven approaches. She recently presented her work at the 'American Geophysical Union (AGU) Conference 2024 Washington, D.C' , where she showcased a comparative study on machine learning models, including Support Vector Machines (SVM), ARIMA, and Recurrent Neural Networks (RNN-GRU), for predicting groundwater levels in 'Mendatica and Triora, Italy'. Through her work, Iram Parvez contributes to bridging the gap between hydrology and artificial intelligence, advancing sustainable water management solutions.

21/07/2024

Today CLOE is in the cover of the Secolo XIX newspaper, echoing the project of our ESR Laura Gago-Chorén in Velva (Castiglione Chiavarese) during the second archaeological research campaign there.