Data Science & AI: Advanced Data Analytics & Management

Practicing data science for social good

The field of data science has matured greatly but is still evolving at a rapid pace, requiring researchers to reevaluate their work through an innovative lens to increase efficiencies, to approach studies in new and more impactful ways, or to solve problems that once seemed unsolvable. Through established collaborations with industry clients and partners, our RTI experts actively search for opportunities to leverage data science and artificial intelligence (AI) to problem-solve and navigate considerable challenges in research.

Whether we are defining policy and implementation tactics for Responsible AI or understanding how generative AI and large language models can be used in public sector work, we remain agile and thrive in an era of advancement. From the social sciences and public health to the biological sciences, our team continues to shape the future of data science and analytics, realizing its mission to solve important national problems, improve our local communities, and transform research.

Our technical capabilities include:

Advanced Analytics

Machine learning, artificial intelligence, neural networks, and deep learning
Generative AI and large language models
Responsible AI-powered science
Text analytics and natural language processing
Computer vision
Network analysis
Scenario modeling: microsimulation, systems dynamics, agent-based modeling

Modern Reporting

Interactive data visualization
Dashboards and web applications
Automated and interactive reports
Data storytelling

Software Engineering

Data operations and engineering
Data ecosystems
Cloud-based architectures designed to auto-scale
Agile software development, including rapid prototyping, test-driven development, and continuous integration and continuous deployment
Data products from concept to prototype to production at-scale, integrating non-traditional sources, types, and amounts of data

Detecting Physiological Changes Using Wearable Sensors

Ed Preble presents his work on "Challenges in Detecting Physiological Changes Using Wearable Sensor Data" at the 2019 SciPy conference in Austin, Texas.

Watch the Video about Detecting Physiological Changes Using Wearable Sensors

Applied Natural Language Processing

In the most tweeted talk of the 2019 spaCy conference, Peter Baumgartner discusses NLP’s distinct project management problems, and how to give your applied NLP projects the best chance of success.

Watch the Video about Applied Natural Language Processing

Counting Arrest-Related Deaths

Peter Baumgartner discusses counting arrest-related deaths at the 2018 Tom Tom Festival. This project was conducted with funds awarded by the Bureau of Justice Statistics, Office of Justice Programs, and Department of Justice. The views, opinions, and content expressed in this exhibition do not necessarily reflect the views, opinions, or policies of BJS, OJP, or DOJ.

Watch the Video about Counting Arrest-Related Deaths