Delivering timely, quality data and helping our clients understand them is our priority. By empowering data through advanced analytics, machine learning, artificial intelligence, geographic information systems, and data visualization techniques, Westat enables clients to drive smart solutions.
Westat’s data scientists work with clients and subject matter experts to formulate and solve important research questions using the latest artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and data visualization techniques. Our multidisciplinary data science team includes experts from statistics, computer science, and communications.
Data Integration, Harmonization, and Complex Analytics
Westat achieves effective and efficient data integration and harmonization of data from disparate sources; processes data of varying file formats, naming conventions, and columns; and transforms them into a cohesive data set. These data are then available for streamlined analyses based on a common standard. We also lead the field in providing complex analytical services, using cutting-edge techniques rooted in principles and best practices of data science. We work to empower data through advanced analytics, machine learning (ML), and artificial intelligence (AI).
Data Science Infrastructure
With a focus on modernization and innovation, Westat offers data acquisition, management and dissemination solutions that emphasize automation, quality, timeliness, and security. By harmonizing data, applying common data models and standards, linking with external data sources, and applying novel data science techniques we enhance the utility of the data and enable deeper analytics.
Westat develops cutting-edge visual analytics using the scientific principles of visual data communication. In developing visualizations, our aim is to provide clients with actionable insights into their data, inform data collection procedures, and support decisionmaking. Our data experts use data visualization techniques to track and report on progress in large-scale surveys, interactively analyze geospatial epidemiological data, illustrate student growth and progress toward educational achievement indicators, and consistently monitor performance across research sites in clinical trials.View Case Studies
Geographic Information Systems and Geospatial Analysis
Westat data scientists can optimize any study tasks. We’ve used geospatial relationships to enrich data frames and deliverables, employing spatial data to drive data collection logic, generating maps to visualize data, and automating the identification and collection of travel with GPS and geolocation data from smartphones. We’ve also combined epidemiological and environmental data to plan field activities in a post-COVID-19 world.
Machine Learning and Artificial Intelligence
Westat’s data science team includes experts from statistics, computer science, and communications. We work with clients to determine where machine learning (ML) and artificial intelligence (AI) can be applied to expand data utility and discovery as well as to maximize the efficiency and quality of project operations. We work with clients to define research questions, collect and integrate data, and apply a range of unsupervised and supervised ML algorithms to understand patterns in the data or to predict outcomes of interest.View Case Studies
Natural Language Processing and Text Analytics
Using both traditional and cutting-edge deep learning techniques, Westat data scientists implement natural language processing (NLP) aimed at training computers to understand and process human languages. Whether faced with written or spoken language, our NLP experts foster contextual understanding of content to help clients effectively process data and develop appropriate solutions to the challenges they face.
Meet the Team
Substance Abuse and Mental Health Services Administration (SAMHSA)What drug or drug combinations send people to the emergency department?
Agency for Healthcare Research and Quality (AHRQ)How can text data be quickly and accurately processed?
U.S. Department of Education (ED)Can machine learning techniques analyze qualitative focus group data effectively?
Deep Dive with Our Experts
Expert InterviewData Visualization: Telling Data-Rich Stories
The increasing need for the collection and analysis of massive amounts of data has made the use of data visualization more important than ever. The…
Expert InterviewJeri Mulrow on How Data Science Can Help Solve America’s Complex Dilemmas
With the enormous problems facing the nation, the potential for data science to be the game-changer that can help tackle them is being recognized. Westat’s…
Issue BriefYoung Children’s Consumption of 100% Fruit Juice by Racial-Ethnic Characteristics of Their Mothers
Congress authorized the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) as a pilot program in 1972 and made WIC permanent in 1974.…