Data Science

Data Science Capabilities

AIR Data Science and Advanced Analytics experts employ a range of data science methods to address complex public policy questions.

 

 

Infographic: Data Science and Advanced Analytics

Data Science Research and Methods
Data science research and applied mathematical methods

Data Collection and Acquisition
Big data

Data Quality Assessment and Improvement
Data quality assessment and process improvement

Data Integration and Visualization
End-to-end data pipelines to support visualization and report generation

Data-Driven Decision Making & Decision Support Services
Policy modeling, simulation, and analysis

Social Media and Digital Outreach
Social media analytics supporting digital strategies and outreach

We combine traditional and nontraditional data with appropriate machine learning or language processing models to obtain insights to support evidence-based decision making to solve complex social problems.
Related Work
Teacher and student high-fiving

PreK–12 Research on Education Strategies to Advance Recovery and Turnaround (RESTART) Network

In the wake of the pandemic, there is an urgent need to address national disruptions in student achievement and help educators boost student engagement, particularly among students from marginalized groups and among those who struggled prior to the pandemic. The PreK–12 Research on Education Strategies to Advance Recovery and Turnaround ...
ARIS graphic

Modernizing NCES’s Annual Reports (ARIS)

The AIR Annual Reports and Information Staff (ARIS) team has supported NCES in developing, producing, and disseminating high-quality, timely, and reliable statistical reports and web products on education topics of relevance to policy makers, researchers, and the general public.
Screenshot of PatentsView

PatentsView: Patent Data Exploration Platform

The U.S. Patent and Trademark Office's (USPTO) mission is to encourage innovation and entrepreneurship in the U.S., and this is supported by its open-data platform. Part of that platform, PatentsView, offers 40 years’ worth of information about investors, their organizations, and their locations. Established in 2012 and led by AIR, ...

FEWS NET Pillar 2: Management of a FEWS NET Learning and Data Hub

Created in 1985 by the USAID and the U.S. Department of State after devastating famines in East and West Africa, FEWS NET provides near real-time analysis on famine threats in more than 38 highly vulnerable countries around the world. Kimetrica, a wholly owned subsidiary of AIR, manages FEWS NET’s Data Hub, ...

Ethiopia’s Livelihoods for Resilience (L4R): Recurrent Monitoring Study

USAID's Livelihoods for Resilience activity in Ethiopia focused on supporting and enhancing livelihood opportunities for chronically food-insecure households. To assess the L4R activity’s progress and effectiveness, a consortium consisting of AIR, Save the Children, and Tango International, implemented a quarterly Recurrent Monitoring Study. ...
One hand handing another hand a bowl of food

Food Security Third Party Monitoring

Monitoring vulnerability, food insecurity and the impact of humanitarian response in some of the world’s most crisis prone locations, the Food Security Third Party Monitoring project provides critical, near real-time analysis to support targeting of life-saving support. Using a strategic combination of local monitors and international staff, AIR is adeptly ...
AIR data collector interviews a respondent in Samburu, Kenya as part of the PREG project

Partnership for Resilience and Economic Growth, Northern Kenya: Impact Evaluation Recurrent Monitoring System

USAID's Partnership for Resilience and Economic Growth brought together humanitarian and development partners to build resilience among Kenya’s vulnerable pastoralist communities in the country’s arid and semi-arid lands. PREG focused on nine vulnerable and high-risk areas and works with the Government of Kenya at both national and county levels to ...

Worker Paid Leave Usage Simulation Model

For the DOL’s Chief Evaluation Office, AIR and the Institute for Women’s Policy Research built a microsimulation model to simulate policies for paid worker leave in the U.S. The goal of this study was to create a publicly available paid leave microsimulation tool that is open-source and based on the ...