Five research teams from U-M and Shanghai Jiao Tong University in China are sharing $1 million to study data science and its impact on air quality, galaxy clusters, lightweight metals, financial trading and renewable energy. Since 2009, the two universities have collaborated on a number of research projects that address challenges and opportunities in energy, biomedicine, nanotechnology, and data science. The Michigan Institute for Data Science, U-M’s interdisciplinary hub for data science research and education, helped catalyze these new collaborations and will connect them to expertise and resources across campus that can support and augment their work. “Issues such as health and sustainability impact society on a global scale, so it is important for us to collaborate with researchers beyond our campus to explore new directions,” said Volker Sick, associate vice president for research — natural sciences and engineering. The program funds projects that have commercial potential and are likely to attract follow-on research funding from the U.S. and Chinese governments, as well as industry.
