This paper aims at analysing the extent to which spatial data are accessed and shared among stakeholders. It also uses Social Network Analysis to investigate institutional and individual behaviour in that process. Finally, it investigates the level of cooperation of all involved actors towards Spatial Data Infrastructure development. Results showed that public and private organizations have been individually engaged data collection and management. However, they are still using different standards and this has led to some disparities in terms of spatial data quality.

Different government institutions in Ethiopia working on land related issues tackle and manage data and information independently, while their activities and mandates are often related or even overlapping. Ministry of Agriculture (MoA) deals with small holder rural land and until recently the Ethiopian Horticulture and Agricultural Investment Authority (EHAIA) was dealing with commercial agricultural land. Those institutions have not been able to share information each other’s data to make informed decisions.

To address food insecurity, the Government of Ethiopia embarked on a rapid transformation in the agriculture sector to increase production, productivity, market access and create employment opportunities by promoting large scale agricultural investment projects. However, progress towards achieving set objectives has been rather limited so far due to various challenges. One of the major challenges is that information on commercial farming is outdated and unreliable for decision making.

Achieving Sustainable Development Goal 2 (SDG 2), Zero Hunger, by 2030 is in jeopardy due to slowing and unequal economic growth, climate shocks, the COVID-19 pandemic, conflict, lackluster efforts toward investing in food system sustainability and agricultural productivity growth, and persistent barriers to open food trade. Nevertheless, numerous commitments to achieving SDG 2 have been repeatedly expressed by Heads of State and Ministers at diverse global meetings since the SDGs became a focus in 2015.

The evaluation function of the Independent Advisory and Evaluation Services (IAES), is executing the 2024 evaluations of the three Science Groups (SGs)—Systems Transformation (ST), Resilient Agrifood Systems (RAFS), and Genetic Innovation (GI). The evaluation Terms of Reference (TORs), which are endorsed by the Strategic Impact, Monitoring, and Evaluation Committee (SIMEC) and build on the Concept Note, are presented to the CGIAR System Council (SC19) as a pre-read.

Pakistan is highly dependent on irrigated agriculture for employment, income generation and food security—around 90 percent of all food production relies on either surface or groundwater irrigation. The growing dependence of agriculture but also industries and the drinking water sector on groundwater has led to the overexploitation of groundwater resources and, in some areas, to the deterioration of groundwater quality. Fiscal incentives for solarization of irrigation/drinking water pumps are likely to further increase water withdrawals and make water governance more complex.

The new Women’s Empowerment Metric for National Statistical Systems (WEMNS) is a streamlined tool for measuring women’s empowerment, intended for use in large-scale, multitopic surveys conducted by national statistical systems. WEMNS is designed to measure empowerment in households with all types of livelihoods, in both urban and rural areas, complementing the Women’s Empowerment in Agriculture Index (WEAI), which focuses on agricultural households.

Lack of systematic tools and approaches for measuring climate change adaptation limits the measurement of progress toward the adaptation goals of the Paris Agreement. To this end, we piloted a new approach, the Biomass Climate Adaptation Index (Biomass CAI), for measuring agricultural adaptation progress in Ethiopia across multiple scales using satellite remote sensing data. The Biomass CAI can monitor agri-biomass productivity associated with adaptation interventions remotely and facilitate more tailored precision adaptation.

Rangelands research in arid and semi-arid sub-Saharan Africa has been reinvigorated by renewed government and donor interest in pastoral livelihoods. The challenges facing productive rangelands remain competition over resources, which has been exacerbated by armed conflict; overuse of some rangelands as fragmentation continues; and the failure of many technical and governance interventions.

Human activities are driving wildlife population declines worldwide. However, empirical understandings of their operation and consequences for wildlife populations and habitats are limited. We explored relationships between empirical and perceived wildlife and livestock population trends in Kenya using data on i) aerial monitoring of wildlife and livestock populations during 1977-2018, ii) human population censuses; and iii) semi-structured interviews with 338 male and female respondents from 250 households from four zones of the Greater Maasai Mara Ecosystem in 2019 and 2020.

In order for geospatial services to reach their full potential to benefit the people and the environment of the Amazon at multiple scales (regional, national, sub-national, community) by supporting communities in monitoring their territories and addressing the various challenges they face (such as deforestation, illegal mining, climate change, and biodiversity loss), it is important to have an inclusive vision that considers both the situation of local women and other actors in the region.

Most of the smallholder farmers in Mali are confronted with multifaceted challenges, which include low productivity, post-harvest crop losses, underdeveloped markets, vulnerability to climate change, and gender inequality affecting the distribution of resources. These problems require interventions such as institutional reforms that facilitate efficient rural service delivery, development of markets, creation of physical infrastructure, and supportive government policies while ensuring a stable and conducive political environment.