Automating Data Science

Developing technology to automate the creation of machine learning pipelines to solve a wide variety of data driven modeling problems.

Visit Automating Data Science Website

DSBox banner
a arrow question mark b

Causal Reasoning

A novel knowledge organization system that integrates concepts of causality, factual knowledge and meta-reasoning into a model-driven knowledge graph representation to provide situational awareness.

Visit Causal Reasoning Website

Commonsense Reasoning

A Multi-modal Open World Grounded Learning and Inference project to build a system that can answer a wide range of common sense questions posed using either an image or natural language, about everyday intuitive phenomena such as abduction, analogy, causality, agency, physics, and social interactions.

Visit Commonsense Reasoning Website

Elephant in a room with a basketball
Datamart banner


Creating the largest publicly available knowledge graph to power data-driven models in a wide variety of domains.

Visit Datamart Website



An information integration tool that enables users to quickly and easily integrate data from a variety of data sources including databases, spreadsheets, delimited text files, XML, JSON, KML and Web APIs.

Visit Karma Website

Knowledge Graph for Business

Creating a public resource containing knowledge about businesses, their products, and their patents as well as the relationships between them, such as customer, competitor or supplier.

Visit Knowledge Graph for Business Website


Linked Maps

Exploiting Context in Cartographic Evolutionary Documents to Extract and Build Linked Spatial-Temporal Datasets.

Visit Linked Maps Website

Old map
Venn Diagram

Scoring Scientific Research

Developing automated techniques for evaluating scientific claims and assessing the confidence of their reproducibility and applicability.

Visit Scoring Scientific Research Website