Risk Summer school 2025 - From data to decision-making under conditions of uncertainty

08:30 am Welcome coffee

09:00 am Opening of the Risk summer school
Cécile CORNOU (GS@UGA RISK)
Sandrine CAROLY (Risk Institute@UGA)
Yan WU (Swansea University)

Session 1 - Data for risks assessment from different perspectives

09:30 am Earth sciences data for probabilistic seismic hazard and risk assessment
Céline BEAUVAL (ISTERRE)

10:00 am Assessing infrastructures and buildings from an engineering perspective
(Speaker to be confirmed)

10:30 am Coffee break

11:00 am Integrating social and human data into risk assessment and management
Sandrine CAROLY (PACTE)

11:30 am Presentation of Mentored Research projects - RISK Students
Collecting behavioural and mobility data in the event of floods
Abel MARQUEZ (Ense3, master Hydraulics and Civil Engineering (HCE)
Aya HARA (Polytech Grenoble, Ingénieur Gestion des Risques)
Fiorella VADILLO (IUGA, master GEOIDES).

12:00 am Presentation of Mentored Research projects - RISK Students
Risk data life cycles and actors
Perrine TRICOCHE (UGA, master STPE)
Giorvanni CASTIN (IUGA, master GEOIDES)

12:30 am Lunch

Session 2 - Citizen data for risk assessment

02:00 pm From citizen science to citizen data for risk management: an introduction
Céline CHOLEZ (PACTE)

02:30 pm Data trustworthiness, power dynamics in knowledge production, and the
intersection of citizen science with institutional governance
Yan WU (Swansea University)

03:00 pm
Presentation of Mentored Research projects – RISK - Students can firefighters provid relevant and quantitative information to seismic damage distribution?
Diego AVAIKA TIZI (Ense3, Ingénieur Hydraulique, Ouvrages et Environnement (HOE)
Jorielle NGUINTO KAMTSOP (Polytech Grenoble, ingénieur Géotechnique & Génie Civil)
Mariette SIMONNET (UGA, master STPE)

03:30 pm Coffee break

04:00 pm Sue Byrne (Natural Resources Wales)
(To be confirmed)

04:30 pm 
(To be announced)
 

08:30 am Coffee

Session 3 - Barriers and challenges encountered in collection data from a diverse range of platforms

09:00 am Teaching module: Data collection methodologies, processes, and theoretical
frameworks within current digital environments
Nicholas MICHALEF (Swansea University)
Rouba ISKANDAR (LIG)

11:00 am Coffee break

11:30 am AQUASOC: An online tool for the self-assessment of social impacts and social capacities in local flood-risk planning
Guadalupe ORTIZ (Alicante university)

12:30 am Lunch

Session 4 - Facing uncertainties

1:30 pm A full afternoon dedicated to explore decision-making under uncertainties with theatre and creativity methods by members of the DECODE project 
(More information to come)

5:30 pm Debriefing

7:00 pm Summer school dinner

8:30 am Coffee

Session 5 - Deciding under uncertainties with, despite or without data?

09:00 am Multi-criteria decision-making methods in the context of imperfect information for the assessment and management of natural hazards
Jean-Marc TACNET (INRAe/IGE)

09:30 am Emerging risks and decision-making 
(Speaker to be confirmed)

10:00 am Evacuation thresholds, warning systems, and decision-making
(To be announced)

12:00 am Lunch

01:30 pm Decision-making with data (partly digitized) in the context of ship digitalization. Challenges and issues
Octavian POSTOLACHE (Ecole Nationale Supérieure Maritime)

02:00 pm Decision-making in crisis management: the complex roles of knowledge and
experience
François GRUNEWALD (Universités Avignon et Aix Marseille, président honoraire du Groupe URD)

02:30 pm Presentation of Mentored Research projects – RISK    Students Comparative Analysis of Post-Disaster Damage Assessment Survey Methodologies in the Context of Natural Hazards 
Lucas FABBRI (UGA, master STPE)
Gintare RADZIUTE (IUGA, master GEOIDES)
Eliott DAROW (IUGA, master GEOIDES)

03:00 pm Coffee break

3:30 pm Ending Round Table: How can we better integrate classical data, citizen data, uncertainties and decisions?
(Speakers to be confirmed)

4:00 pm End of the Summer school
 

Advanced workshop proposed by Swansea university and Risk Institute within the framework of a British Council project

8:30 welcoming coffee

9:00 -12:00 am Machine learning, Artificial Intelligence for data collection, analysis and spreading

Topic: Advances in Artificial Intelligence & Machine Learning, and Applications in Computer Vision
Delivered by: Dr Simeng Qiu (Swansea University) & Prof Xianghua Xie (Swansea University) & additional teacher to be announced

Description:
Artificial Intelligence has become ubiquitous in our lives, with applications across domains such as computer vision, computer graphics, robotics, image understanding, medicine, and self-driving cars. In this short tutorial, you will gain fundamental understanding of Machine Learning (ML) and Artificial Intelligence (AI), exploring their real-world applications and emerging trends. Basically, we will focus on how these technologies enable machines to interpret, process, and analyze visual data in real time. The relationship between Data science and Machine Learning, and how computer vision is driving the next generation of sensing technologies. Real-world use cases such as biological imaging, camera tracking, and video understanding will illustrate practical applications. In the end, we will discuss challenges related to data quality, bias, and integrity, and understand best practices in deploying ethical and robust computer vision solutions.

12:00 am Lunch

1:30 pm Legal framework, data security and new technologies
Delivered by: Karen Morrow (Swansea university) 

3:30 pm Project ad prospectives

4:00 pm End of the British Council project event