Projects

The AIRG’s work is part of numerous projects, and supported by a variety of institutions. Please see below for a list of our current and previous projects, as well as a lit of tools we use in our research.

Current

  • Hazards SEES: Understanding cross-Scale interactions of trade and food policy to improve resilience to drought risk in Zambia examines the interactions between drought risk, crop production, trade and policy and their impacts on food security in Zambia, with the aim of improving existing early warning systems for famine. Funded by the National Science Foundation, Natural Hazards, 2015-2020. 
  • Water Sustainability Climate, Impacts of agricultural decision making and adaptive management on food security. This project aims to better understand how dryland farmers adapt to within-season climate variability and how these adaptations impact their resilience to climate variability and change, today and in the future. The project does this by bringing together cellphone adoption with research in data science, crop prediction, and environmental and social monitoring. Funded by the National Science Foundation, 2014-2019.
  • Mapping Africa is pioneering an active learning approach to develop a scalable, fast, and cost-effective land cover mapping system that fuses human and machine intelligence to map the distribution and characteristics of cropland in Africa with unprecedented accuracy. Mapping Africa is a Clark University project, developed together with the University of California Santa Barbara and Princeton University, and with support from Omidyar Network, IIASA, NASA and NSF.
  • Integrating crowdsourcing, in situ sensing, and spaceborne observation to understand the sustainability of smallholder agriculture in African wet savannas. uses a novel approach to capture smallholder farmers’ fields and yields in sub-Saharan Africa by integrating in situ environmental sensing, Earth Observing satellites, and crowd-sourcing. The project aims to i) identify patterns of crop land change on smallholder farms, ii) identify landscape-scale trends in productivity on smallholder farmers, and iii) better understand the relationships between changes in crop productivity, climate variability, and land cover. Funded by the NASA New Investigator Program in Earth Science, 2015-2017.

Completed

Tools