Data Capture & Surveys
Abt’s proficiency in data science, statistics, methodology, and project management helps government and community stakeholders uncover valuable insights. We devise new survey designs like address-based sampling and precision geographic targeting. We meet data collection challenges with innovations like Virtual Omnichannel Integrated Citizen Engagement (VOICE), which integrates inbound and outbound support for in-person, telephone, web, texting, and interactive voice response approaches, augmented with chatbots and Artificial Intelligence (AI) response scraping. From design through execution, we assess potential biases in every data source to ensure fairness.
Expertise
- Mixed-Mode Data Capture and Analysis
- Equity-Based Research
- AI and Data Collection
- Statistics
- Survey Methodology & Design
- Address-Based Sampling
Clients Include
Centers for Medicare & Medicaid Services
Centers for Disease Control and Prevention
U.S. Department of Housing and Urban Development
Census Bureau
U.S. Department of Agriculture
National Institutes of Health
U.S. Department of Justice
Family and Youth Services Bureau (U.S. Department of Health and Human Services)
State & local agencies
Our Work
Rigorous COVID-19 data collection for CDC that produced a score of oft-cited journal articles with huge impact on U.S. national policy and science
Custom-built information management system for runaway youths and youths experiencing homelessness
Data integration tool for public health emergency preparedness responses, enabling targeted interventions that promote health equity
Continuously optimized surveys for New York City to assess the physical, emotional, and behavioral health of children
Centralized call center/earnings processing center and counseling to help those receiving Social Security Disability Insurance return to work
Our Experts
Insights
Government-Citizen Engagement: Abt’s VOICE Solution
The need for governments at all levels to connect with citizens they serve and the means for doing so have evolved over the past decade.
PFAS Multi-Site Research Study
Per- and polyfluoroalkyl substances (PFAS) are a group of man-made chemicals that are associated with health detriments. Given the large scope of a planned multi-site study (MSS) and the complexity of the data to be collected, the Agency for Toxic…
Check the Math: If We Want an Equitable Society, We Need to Police AI
In this blog, Abt’s Jason Brinkley explain how data can reinforce systemic inequalities—and how AI, machine learning, and people can finally fix them.
Turning Data into Impact: Matt Gillingham on the Future of Analytics, Data Quality, Equity, and More
Matt Gillingham talks about the Future of Analytics, Data Quality, Equity, and more.
Spotlight On: Government-Citizen Engagement
Agencies need robust contact systems & processes tailored to citizens’ needs in order to connect with them in a multi-channel, two-way stream of communication.
Inclusivity & Respect: Capturing Needed LGBTQ+ Data
Accurate and inclusive measurement of sexual orientation and gender identity is important to collect data that helps improve outcomes and reduce disparities.
Data & Racial Equity: How Do We Eliminate Bias from AI, Machine Learning, and More?
In this episode of The Intersect, Abt’s Laura Peck and Jason Brinkley address how we can adapt data to help address racial equality when it’s inherently biased by centuries of inequity.
Redesigning the Runaway and Homeless Youth-Homeless Management Information System
The Family and Youth Services Bureau (FYSB) is required by Congress to develop and deploy a Homeless Management Information System (HMIS) for its Runaway & Homeless Youth Program (RHY). The agency wants to ensure it collects high data quality—and…
CDC / CFA Demographic Social Comorbidities Table (DSCT)
The COVID-19 pandemic made it abundantly clear that the nation’s ability to identify and respond to outbreaks fundamentally relies on access to high-quality and timely data for disease surveillance—especially data about vulnerable populations and…