Data

Transboundary cooperation, challenges, issues and vision: the example of ANBO

The key role of Multipurpose Water Infrastructures (MPWI) in socio-economic development and its contribution to water, food and energy security, among other key aspects.
-Dialogue and consultation are essential for the success, management of potential conflicts and the sustainability of MPWI projects.
-The importance of the analysis of limitations, externalities and risks within the strategic planning process to undertake a MPWI.

Are water deficits and extreme events increasing migration and displacement?

There is growing evidence that water scarcity, changes in precipitation patterns and extreme weather events combined with socioeconomic vulnerabilities are driving migration and displacement. In 2016, climate and water-related disasters were responsible for displacing 23.5 million people. Closing the knowledge gaps by gathering statistics, data and information on migration and its drivers, is key to support evidence-based policies, programmes and investments to tackle migration.

Building resilience through data & knowledge- based solutions: Identification, monitoring, early- warning and assessment of water- related risks

This session aims to share best practices, technologies and visionary strategies of related countries and regions in building resilience to water-related disasters, and to emphasize how data and knowledge-based decision-making, approaches or products can better tackle the issue.

Tools and Knowledge Management for ecosystem- based approaches to land and water management from source- to- sea

Ecosystem-based approaches to land, water coastal and marine resources management require information from many disciplines and actors, beyond conventional measures that address specific segments of the source-to-sea system and neglect linkages. Collecting (or modeling), analyzing, and communicating this information is vital for both monitoring (e.g., SDGs) and decision making, but the resources for data acquisition and knowledge management are insufficient, and data providers and decision makers are not working closely as they could.