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Data transformation in organizations depends on more than just having the right data; decision makers need to understand the data and be empowered to take meaningful action. In human data interaction, we design, build, and deploy interactive visualization tools and AI to empower people with data and solve real-world problems.

In engineering, we innovate and build new knowledge at the interfaces of disciplines using physics-based models and data to address problems that matter to society.

In computational medicine, we develop models of biological systems in health and disease, understand how to constrain these models using data from a specific patient, and harness the patient-specific model to deliver care tuned to the needs of the individual.

The promise of artificial intelligence lies not in its ability to replace humans, but to help them do what they do best. The Roux Institute’s focus is on human-centered, “experiential” AI technologies, which combine the computing power of machines with uniquely human capacities such as reasoning, creativity, and empathy. Because together, machines and humans will achieve far more than either could alone.

The Network Science Institute at the Roux Institute strives to be a multi-disciplinary research community working to discover and inspire fundamentally new ways to measure, model, predict and visualize social, physical and technological complex systems. We develop network based modeling frameworks, artificial intelligence approaches, data and analytics technology architectures to advance research and support decision makers in health sciences, human mobility, socio-economic networks, ecological and climate systems.