JHU launches new institute dedicated to supporting the ‘fourth industrial revolution’ of data science
Using a $1.5 million, three-year grant from the National Science Foundation, a multi-disciplinary team of researchers at the Johns Hopkins Mathematical Institute of Data Science has created a new institute dedicated to data-driven discovery.
The new institute, called the Transdisciplinary Research in Principles of Data Science Institute for the Foundations of Graph and Deep Learning, or TRIPODS Institute, will bring 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. Data science fellows will be trained at the institute, where they will be jointly supervised by faculty members who have complementary expertise in model-based and data driven approaches. The fellows will be selected annually through a call for Data Science Fellowships, and the winners will be announced at the MINDS Symposium, held this year on Wednesday, Nov. 20 in Shriver Hall.
In short, the new TRIPODS Institute will be part of what many consider to be the “fourth industrial revolution,” in which machines are able to learn from massive amounts of complex, high-dimensional data.
“Advances in data science are already leading to many disruptive technologies, from automatic speech recognition to automated supermarkets,” said René Vidal, a professor in biomedical engineering, director of the Mathematical Institute of Data Science, and the new institute’s principal investigator. “In the next few decades, data science will transform many disciplines, from new data-driven discoveries in physics to autonomous cars to personalized medicine. 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.”