The Hashemite Kingdom of Jordan faces a plethora of climate challenges, from rising temperatures to drought and desertification, exacerbating issues of water scarcity. Concurrently, the country is home to an expanse of social protection and humanitarian assistance programs, varying in delivery modality and responsible actors.

Although livelihoods within agrifood systems (AFS) are generally vulnerable to the impacts of climate
change, women bear a disproportionate burden from rising climatic stressors. In agrarian regions in
the Global South, women face unique and intersectional vulnerabilities that limit their voice in

Through action research across six anchored countries in Africa, AICCRA aims at scaling access and use of enhanced climate information services (CIS) and evidence-based climate-smart agriculture (CSA) technologies and innovations for effective climate risk management and sustainable productivity improvement in various agricultural value chains and sub-sectors.

The mid-hills of Nepal account for 68% of the country’s total area[1] and 56% of its arable land. Ranging in altitude from 610m to 4,876m, there are many small pockets of micro-irrigation that have the potential for high-value crop cultivation.

Egypt’s Haya Karima (HK) Initiative aims at improving the quality of life in the country’s rural communities through interventions related to human development, infrastructure, and economic sectors.

As part of the AICCRA, the Regional Universities Forum for Capacity Building in Agriculture (RUFORUM) are tasked to develop curricula and training materials to accelerate the mainstreaming of Climate Information Services (CIS) and Climate- Smart Agriculture (CSA) into University’s curricula in Africa.

As part of the AICCRA, the Regional Universities Forum for Capacity Building in Agriculture (RUFORUM) are tasked to develop curricula and training materials to accelerate the mainstreaming of Climate Information Services (CIS) and Climate- Smart Agriculture (CSA) into University’s curricula in Africa.

The world is facing a number of challenges such as climate change, diminishing soil quality and stagnant crop yields, which call for scalable solutions to ensure food security for a growing population. In this paper, we explore the role of data science in modern agriculture, highlighting the importance of big data analytics, geospatial technology, and machine learning.

Covering 41% of Earth's land, drylands are home to nearly 2 billion people relying on forests, rangelands, and agrosilvopastoral systems for survival. These areas provide crucial environmental services, supporting biodiversity, preventing erosion, averting land degradation, enhancing water infiltration, and boosting soil fertility.

Restoring / enhancing soil health is key for sustainable intensification and regenerative agriculture in the Global South, while reducing vulnerability of
smallholder farmers to climate change.
A flexible framework is proposed that can be used to target, monitor and adapt soil health interventions with relevant stakeholders