Brandi Wampler | January 13, 2020
At the University of Notre Dame, the Center for Network and Data Science (CNDS) – formerly known as the Interdisciplinary Center for Network Science and Applications (iCeNSA) – brings together faculty and other researchers to generate fundamental transformative advances in artificial intelligence (AI), data science, and network science with interdisciplinary applications in biological sciences, neuroscience, molecular synthesis, health and wellbeing, network science, foundations of computing, physical and transportation systems, and social systems.
“The CNDS has developed a grassroots-driven research program – scientific and technical at the core – with an interdisciplinary mindset for driving transformative societal impact,” said Nitesh Chawla, Frank Freimann Professor of Computer Science and Engineering and director of the CNDS.
The more than 40 researchers affiliated with the CNDS use network and data science to tackle challenges ranging from social to biological systems and organizational to environmental networks. Oftentimes, affiliated CNDS faculty and research teams work where machine learning, AI, and networks intersect with fundamental science like biology and chemistry.
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