Workstreams

Disaster context and existing knowledge

Disaster context and existing knowledge

Lead: IIT Guwahati (IITG)

Aim:WS1 aims to provide disaster context for evidence-based policies and identify socio-technical knowledge gaps in flood and drought management.

Disasters emerge from the interaction of hazards, exposure, vulnerability, and risk. Effective early warning systems (EWS) are crucial for preparedness and loss reduction...

Real-time hydrometeorological data assimilation and extended weather forecast

Real-time hydrometeorological data assimilation and extended weather forecast

Lead: Indian Institute of Science (IISc)

Aim:WS2 will conduct the feasibility study of real-time hydrometeorological data assimilation using computer vision-based algorithms through community participation and carry out extended weather forecasts.

It will monitor rainfall, streamflow, and flood depth using low-cost, portable sensors such as smartphone cameras for participatory data collection...

Citizen science and knowledge co-creation via living labs

Citizen science and knowledge co-creation via living labs

Lead: MetaMeta Research B.V.

Aim:WS3 aims to create synergy between citizens, academics, disaster professionals, and policy actors using living labs approach for improved end-user interface and disaster management during extreme events.

Each lab will integrate citizen science, horizontal learning, and serious gaming to drive socio-technical innovation for mobile and web-based Multi-Hazard Early Warning Systems (MH-EWS)...

Integrated dashboard for multi-hazard forecasting for early warning system

Integrated dashboard for multi-hazard forecasting for early warning system

Lead: IIT Tirupati (IIT-T)

Aim:WS4 aims to develop a multi-hazard modelling forecast framework using statistical and Machine Learning approaches for early warning systems (MH-EWS) and co-create a user-centric MH-EWS dashboard.

Building on WS2 data, WS4 will develop MH-EWS algorithms and ML models for improved flood/drought forecasting...

Capacity Building and Internationalization of knowledge products

Capacity Building and Internationalization of knowledge products

Lead: Wageningen University & Research (WUR)

Aim:WS5 aims to To further build the disaster management capacity of the consortium members and stakeholders in India and the Netherlands.

It aims to enhance expertise in flood and drought forecasting, disaster management, and policy research while promoting effective communication and use of LODESTAR findings in decision-making...