A new institute dedicated to data-driven discovery has been launched by a multidisciplinary team of researchers at the Johns Hopkins Mathematical Institute of Data Science.

Called TRIPODS (Transdisciplinary Research in Principles of Data Science) Institute for the Foundations of Graph and Deep Learning, it brings together mathematicians, statisticians, theoretical computer scientists, and electrical and biomedical engineers to develop the foundations for the next generation of data analysis methods, which will integrate model-based and data-driven approaches. This work is widely considered to be part of the “fourth industrial revolution,” in which machines are able to learn from massive amounts of complex, high-dimensional data.

“In the next few decades, data science will transform many disciplines,” says René Vidal, the Herschel and L. Seder Professor of Biomedical Engineering and director of MINDS and TRIPODS’ principal investigator. “Multidisciplinary education and training on the foundations of data science will be critical to train future generations of data scientists for this big data revolution.”