WEAGov assesses the state of women’s voice and agency in national agrifood policymaking.

Senegal, a country in West Africa and home to over 16 million people is highly vulnerable to the impacts of climate change, which interacts with existing environmental and socio-economic challenges. It is a water-scarce country.

To understand the aquatic feed sector in Zambia, Kenya and Nigeria and to inform subsequent impact
assessments of the Norad-Fasa project, the monitoring, evaluation, learning and impact assessment (MELIA)
unit at WorldFish, together with implementing partners, organized 2-day workshops across the three

Initiatives to combat climate change often strive to include women’s voices, but there is limited evidence on how this feature influences program design or its benefits for women. We examine the causal effect of women’s representation in climate-related deliberations using the case of community-managed forests in rural Malawi.

The COVID-19 pandemic, surprised many through its impact on the food systems, resulting in collapses in the food production value chains and in the integrated pest disease management sector with fatal outcomes in many places. However, the impact of COVID-19 and the digital experience perspective on Integrating Pest Management (IPM) is still yet to be understood.

Africa accounts for about 7% of the world’s total fish production (FAO 2020). Nile tilapia (Oreochromis niloticus), a native of Africa, is the third-most farmed fish species in the world (FAO 2020) and is consumed worldwide (Asiedu et al. 2015).

Smallholder farmers’ decisions to adopt improved varieties are expected to be critically governed by their preferences and willingness to pay for different traits of these varieties.

The detrimental impact of hydro-meteorological risks on agriculture frequently leads to food insecurity, particularly in Sub-Saharan Africa (SSA). Hence, the agriculture communities require climate-informed decision support tools that guide adaptation measures against climate change in the agriculture sector.

This paper presents lessons of a replicable innovative decision support tool to systematize traditional indigenous
knowledge base for local climate monitoring and weather forecasting. The methodological tool, herein called the
traditional indigenous and local knowledge tool (TILKIT), was conceptualized under two training-of-trainers