Abstract Submission: 10 July 2023
Notification on Abstract Acceptance: 13 July 2023
Workshop registration: 17 July 2023
Workshop dates: 17-18 July 2023

Abstract submission for oral workshop presentations is now open until 10 July 2023. Please head to “Abstract submission” in the left menu.

Received abstracts will be reviewed by the organizers. Notification of acceptance will be made before 13 July 2023.

The abstracts submitter will receive all correspondence concerning the abstract and is responsible for informing co-authors of the status regarding the abstract.

The presenting author must register for the conference.

HERCULES aims at creating a multidisciplinary team to develop a step change in the understanding and monitoring capabilities of geohazards and in turn produce ground breaking new methods to boost the resilience of current infrastructure under changing climates. A consortium was created with 16 academic/industrial partners (https://cordis.europa.eu/project/id/778360), around the following goals: i) exchange knowledge in a multidisciplinary environment between academia and industry; ii) develop new insights, approaches and technologies that support the needs of end-users to make both the built environment and infrastructure more resilient to the increasing threat of natural hazards due to the effect of a more variable climate; iii) train Early Stage Researches (ESRs) during their secondments between Institutions who will form the next generation of researchers leading academic and industrial technological developments in this field.

The workshop HERCULES2023 aims to disseminate the main findings from fundamental research on the assessment and prediction of geohazards-related risks. The research approaches cover across multiple scales, from the macro-scale through to the micro scale including the integration of Earth Observation techniques, laboratory investigation and by investigating the ground behaviour at the scale of soil particles experimentally using tomography and numerical techniques such as the Discrete Element Method. The design and implementation of the technology are informed not only through the combination of laboratory and field studies, data interpretation and numerical simulations, but also coproduced through consultation with the local community. Crowdsourced geographic information is employed with real-time environmental data and models to provide a decision-making framework to be adapted to local needs for the monitoring and early-warning of geozahards to improve urban resilience.