The Community of Learning and Practice on Drought Management for Central and Eastern Europe and Northern Mediterranean (CLP CEE & NM) was launched during a landmark event held on 22-24 April in Chisinau, Moldova.
Representatives of national authorities, stakeholders and regional institutions from the Mediterranean acknowledged the need for a Strategic Framework for the WEFE Nexus in the Mediterranean’s source to sea continuum at the 1st Regional Water-Energy-Food-Ecosystems Nexus Roundtable in the Mediterranean organised in the framework of the GEF UNEP/MAP MedProgramme.
The Government of Eswatini says the private sector needs to get involved in climate action to protect their own as well as the nation’s investments from the impacts of climate change. Government data shows that 80 percent of surveyed private sector enterprises reported that their businesses had been impacted by climate-related events, most of which had involved extreme and erratic rainfall and drought.
Regional workshop to share the results and experiences of the SAP VOLTALARM pilot tests between players and stakeholders from the six countries, on 22 and 23 June 2024 in Accra.
The concept of gender mainstreaming in water resources management is not new, and while the ambition is clear, we are not advancing at the pace we need. Why is that? How can countries accelerate progress towards gender mainstreaming in water resources management?
On September 6, 2024, the Global Water Partnership China (GWP China) hosted the "Research Conference on Energy Transition and Water Resources Management in Water-scarce Areas of China" at the Yingze Hotel in Taiyuan, capital city of Shanxi Province.
The Global Water Partnership-Caribbean (GWP-C) embarked on an innovative Pilot project to tackle water scarcity in the agricultural sector. In response to Grenada’s most recent drought experienced this year, GWP-C sought to promote strategies to tackle water scarcity and implement procedures for water conservation. As such the organisation raised awareness on the use of Artificial Intelligence (AI) in Agriculture through the use of IRROGOPTIMAL technology.