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machine learning skip to content data reports about about aiddata blog contact events media join the team partners people training programs china agriculture climate environment ai machine learning debt rescheduling foreign policy influence geospatial tools impact evaluations global gender equity listening to leaders loan performance migration national security reimagining development data sustainable development goals tools geoquery china s global development footprint china s seaport financing china contracts search training hub search ai for an equitable world applying new tools to decades of expertise in geospatial analysis and sustainable development the first tranche blog w m s aiddata leads global effort to solve agricultural challenges using geospatial analysis 2026 06 23 a recent gathering of 120 international policymakers researchers and nonprofit leaders in rome celebrated how far the field has come in just a few short years the first tranche blog can ai help beat poverty perhaps with the help of humans 2025 04 23 the first tranche blog aiddata and rand release new dataset report on china s ai exports 2023 12 11 journal article equitable ai exploring the role of gender in poverty estimation models using geospatial data methodology china s ai exports developing a tool to track chinese development finance in the global south technical documentation policy report china s ai exports technology distribution and data safety overview artificial intelligence ai is poised to transform the global economy and holds immense promise for improving human development ai can help fill data gaps in developing regions generating better than ever estimates of poverty health and living conditions from satellite imagery and big data sources yet these tools risk introducing biases and ai s benefits and costs are distributed unevenly aiddata is at the forefront of exploring how to apply ai in responsible ways to some of the world s most pressing development challenges including by evaluating ai tools used by farmers to comply with global deforestation regulations pioneering research on gender bias in ai driven poverty prediction integrating cutting edge drone technologies and machine learning ml techniques into impact evaluations of development programs democratizing satellite enabled insights through initiatives like geofield so those most affected can improve their livelihoods sections overview case studies featured reports research team media inquiries our partners accessible geospatial insights using llms we re piloting ways to extend the benefits of geospatial analysis to a wider audience large language models llms that can interpret and generate human like text are driving transformative changes in the agriculture sector including for commercial farming in the u s yet only a handful of efforts have focused on addressing the needs of farmers in developing countries by using llms and chatbots aiddata is uniquely situated to fill this gap building on a decade of experience in leveraging cutting edge ai tools for real world applications and developing accessible geospatial data platforms like geoquery geoai or artificial intelligence geospatial data usually requires highly specialized knowledge and computing power to effectively use while geoai can be immensely powerful its use is limited to those specialists capable of working with big geospatial data sources to train and refine models rather than attempting to develop and train ai tools to understand raw geospatial data aiddata is leveraging the growing reasoning capacity of llms to explore geospatial relationships and make these insights available to a far greater audience by incorporating geospatial information without expensive hardware requirements aiddata aims to put the power of these tools directly in the hands of local personnel supporting smallholder farmers and communities where it can make a true difference addressing critical needs learn how aiddata is making geospatial analysis accessible through llms concept note case studies evaluating climate adaptation programs with earth observation ai geofield an aiddata led project was awarded nearly 4 75 million for innovative agriculture and climate research government investments for climate smart agriculture nearly doubled last year as countries responded to food system disruptions driven by extreme weather events as policymakers dedicate more funding for programs to help farmers adapt it will be paramount to discover what works and what doesn t through the geofield initiative aiddata and our partners are leveraging new techniques to evaluate climate sensitive agricultural interventions with the highest accuracy and lowest cost our use cases are pioneering novel approaches that help organizations invest and measure the impacts of these programs including by using machine learning to identify where and how rivers in nepal shift and flood following an anti erosion sugarcane planting program testing whether machine learning can detect when flood resistant rice is planted in bangladesh applying machine learning to track the adoption of rainwater harvesting techniques in niger that reverse desertification the first tranche blog mapping the future of climate smart agriculture with geospatial impact evaluations a geofield workshop at william mary brought together leading experts in impact evaluations and sustainable agriculture to share use cases and collaborate on a groundbreaking textbook analyzing digital compliance tools for anti deforestation efforts we re studying the accuracy and cost of ai driven tools used to comply with sweeping deforestation rules the growing use of ai and satellite imagery to monitor agricultural supply chains offers both promise and peril under new regulations like the eu deforestation regulation eudr smallholder farmers of commodities like coffee palm oil rubber wood soy and beef must prove that their plots are deforestation free yet many ai powered compliance tools function as costly black boxes regulatory bodies importer exporter organizations unions and individual farmers need insights into these new tools and services aiddata is bringing over a decade of technical expertise to independently validate these tools with pilot projects underway in honduras and ethiopia to help farmers regulators and exporters make informed decisions the first tranche blog innovative research aims to revolutionize deforestation compliance in coffee production a groundbreaking study evaluates digital tools for eudr compliance in coffee supply chains understanding gender bias in ai applications we re working to increase transparency and accountability in ai for global development in partnership with the ghana center for democratic development cdd ghana aiddata has worked to evaluate the potential for gender bias in wealth estimates generated using ai funded through usaid s equitable ai challenge our project addressed a critical problem how to increase the accountability and transparency of ai systems used in global development contexts leveraging our expertise in ai geospatial data and household surveys plus cdd ghana s knowledge of the local environment we produced a novel public good that informed discussion on the growing use of ai in development the first tranche blog aiddata partnership works to promote gender equitable ai applications the year long collaboration with cdd ghana produced new research to inform ai developers aid organizations and decision makers enabling better research on migration with ai tools we re creating a one stop shop to advance migration scholarship policymaking and practice as migration research rapidly expands across diverse disciplines keeping abreast of current data methods and findings becomes increasingly challenging aiddata in collaboration with aptima is filling the gap with an innovative online migration research platform designed to centralize resources and facilitate scholarly collaboration the platform s development was informed by a survey of nearly 2 000 migration researchers worldwide leveraging advanced ai including large language models the platform will offer curated access to migration data an ai enabled literature navigator collaborative tools training modules and networking opportunities built upon aiddata s geoquery system photo by familystock via adobe stock used under the standard license predicting the likelihood of conflict deaths using neural networks we developed a low cost solution to forecast conflict fatalities from satellite imagery humanitarian aid organizations need better forecasts of conflict risks so they can allocate resources effectively and know when it s safe to send in workers aiddata is working to improve how existing data can be used to train convolutional neural networks cnns to make accurate predictions of the likelihood of conflict deaths at a given location using nigeria as a case study aiddata researchers developed an algorithm that used satellite imagery from the previous year to predict the risk of conflict fatalities for a given location in the following year achieving 80 accuracy read the research spatiotemporal prediction of conflict fatality risk using convolutional neural networks and satellite imagery download the data nigeria predicted surface the first tranche blog a new type of data for development aiddata s next generation measures of important development outcomes use machine learning to help policy makers overcome data gaps leveraging algorithms to sift through terabytes of deforestation data we evaluated a global land degradation portfolio to identify what works to reverse environmental harm the global environment facility gef the world s largest multilateral funder of environmental projects has worked for years to combat land degradation in forests around the world and needed to understand where they were succeeding and why to find out aiddata assessed the impact of gef land degradation projects using cutting edge machine learning methods this study is the first of its kind to use machine learning to not only sift through terabytes of satellite data and explicitly tie projects combating land degradation to positive changes in the environment but also to mine the data to find insights for future program design helping to inform the gef s planning when it sought new funding during its annual replenishment round the first tranche blog using machine learning to combat environmental degradation on a global scale leveraging machine learning algorithms to sift through terabytes of high resolution satellite data a new report by aiddata and the global environment facility has identified the factors that contribute to land degradation on a global scale improving the quality of ai generated poverty estimates we re leveraging machine learning methods to produce next gen measures of poverty in developing contexts our data on poverty is too limited surveys are expensive and are not available for all populations while proxies for poverty like nighttime lights are imperfect and struggle to accurately measure the poorest areas aiddata is expanding upon methods pioneered by stanford researchers to overcome these challenges and produce next gen measures of poverty by leveraging machine learning methods to better measure the impact of a millennium challenge corporation program in ghana on access to markets and economic growth aiddata applied convolutional neural networks to survey and satellite data to generate more accurate estimates of changes in average household wealth the resulting poverty estimates were used to compare changes over time between regions near road improvement projects and control locations download the beta data ghana predicted surface featured reports journal article equitable ai exploring the role of gender in poverty estimation models using geospatial data plos one seth goodman katherine nolan rachel sayers ariel benyishay jacob hall mavis zupork dome edem selormey 2025 09 25 journal article spatiotemporal prediction of conflict fatality risk using convolutional neural networks and satellite imagery remote sensing seth goodman ariel benyishay daniel runfola 2024 09 13 methodology china s ai exports developing a tool to track chinese development finance in the global south technical documentation rand corporation jennifer bouey lynn hu keller scholl william marcellino james gazis ammar a malik kyra solomon sheng zhang andy shufer 2023 12 11 policy report china s ai exports technology distribution and data safety rand corporation jennifer bouey lynn hu keller scholl william marcellino rafiq dossani ammar a malik kyra solomon sheng zhang andy shufer 2023 12 11 policy report evaluating gender bias in ai applications using household survey data seth goodman katherine nolan rachel sayers ariel benyishay jacob hall mavis zupork dome edem selormey 2023 10 24 journal article a convolutional neural network approach to predict non permissive environments from moderate resolution imagery transactions in gis seth goodman ariel benyishay daniel runfola 2020 07 13 working paper 49 geostatistical tools to map the interaction between development aid and indices of need claudio bosco natalia tejedor garavito daniele de rigo andrew j tatem carla pezzulo richard wood heather chamberlain tom bird 2018 05 18 research team for technical or research inquires contact research evaluation ariel benyishay chief economist and director of research and evaluation research evaluation dong luo postdoctoral fellow research evaluation kunwar singh senior geospatial scientist research evaluation seth goodman research scientist for partnership and media inquiries contact alex wooley director of partnerships and communications get our newsletter discover about aiddata blog contact events media join the team partners people training research data reports programs china agriculture climate environment ai machine learning foreign policy influence global gender equity geospatial tools impact evaluations listening to leaders migration sustainable development goals tools geoquery china s global development footprint china in the philippines china s public diplomacy china contracts search
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