WEAGov assesses the state of women’s voice and agency in national agrifood policymaking. Like IFPRI’s Kaleidoscope Model, it adopts a policy process approach, looking at every stage of the policy cycle — from why certain issues become salient and how policy solutions to address them are designed, to the organizational strategies and budgetary outlays that shape policy implementation, to how policies are assessed against their objectives.

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. Decreasing rainfall frequent and intense droughts are exacerbating water-related impacts of climate change with vulnerable communities in rural areas bearing the highest burden of these impacts. Although agriculture is an important contributor to Senegal’s economy, it is largely rain-fed, thus increasing its vulnerability to the impacts of climate change.

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
countries. Using a participatory systems approach, the workshops brought together representatives of
governments, nongovernmental organizations (NGOs), the private sector and farmers associations, as well

Current food systems fail to address the triple burden of malnutrition — undernutrition, micronutrient deficiencies, and overnutrition (Popkin, 2019; Béné, 2019; Fanzo, 2020). The Food and Agriculture Organization (FAO) reports that approximately 462 million people worldwide are underweight, while 1.9 billion adults (39%) are overweight or obese. In 2020, globally, 149 million children under the age of five were stunted, 45 million were wasted, and 38.9 million were overweight or obese (FAO, 2021).

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. In Africa, the impact was devastating, mostly for the vulnerable smallholder farm households, who were rendered unable to access markets to purchase inputs and sell their produce during the lockdown period.

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. This study examined farmers’ preferences for sorghum (Sorghum bicolor (L.) Moench) variety attributes and estimated their willingness to pay (WTP) for these attributes using choice experiment data from >1,300 sorghum farmers in Tanzania.

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. The climate-informed crop capability prediction tool is one of these tools to benefit user community in making tactical and strategic decisions on inputs needed for agriculture and food security sectors as early as the crop-growing season.

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
initiatives on Climate-Smart Agriculture (CSA) in East Africa from March 2016 to December 2021. The aim was to

CGIAR submitted this report in response to an open request from the Plant Treaty Secretary, for submissions regarding, a) contracting parties’ and stakeholders’ capacity building needs for accessing and using digital sequence information (DSI)/genomic sequence data (GSD) and b) ‘technical assistance’ and ‘actions taken’ by stakeholders (including CGIAR) ‘to reduce the existing gap on capacity regarding DSI/GSD’.

This study examined the determinants and impacts of mobile money (MM) usage on maize productivity and poverty likelihood (i.e., the probability of a household falling below the international poverty line at USD 1.9 per capita per day) in the Mbeya Region, Tanzania. The analysis was conducted using the endogenous switching regression (ESR) model on data from a random sample of 1310 households selected from seven districts in the region.