Creating New Knowledge through Data-Intensive Research and Education
Tufts seeks to develop a university-wide, interdisciplinary center dedicated to data-intensive research and pedagogy, studying the science of data and its use in application domains that span the breadth of the university. Such a center will build on existing strengths at Tufts and provide a structure to help realize the promise of the Tufts T10 Strategic Plan.
DISC will create a collaborative, application-driven environment that simultaneously fosters the development of new methods for extracting meaning from data and the application of those methods to a host of domain areas relevant to Tufts. DISC will provide a university-wide forum for identifying strategic opportunities best addressed by combining expertise in the science of data and application domains.
The Center represents a vital intellectual center empowering research and teaching; a centralized forum for data science that will spur innovations and insights in all areas of academic endeavor in ways not currently possible with. The Center will be:
In recent years, our collective ability to gather, store, and analyze data has increased dramatically, allowing new, data-intensive approaches to understanding humanity and the world around us in areas that range from genetics to social policy to classics. By investing in our capacity to derive meaning from data, Tufts will be well positioned to produce intellectual breakthroughs and data-literate graduates. This capability will make Tufts a key player in what is the most important transformation of the academic enterprise in our time.
The demand for analytical talent. By the start of 2016, there were 2.3 million US job postings asking for data science and analytics skills. By late 2016, more than half (58%) of business roundtable members, an association of CEOs of leading American companies, said data science and analytics are very relevant to job openings today.” 1 However, few in the emerging workforce have the skills needed for these jobs. Universities are not keeping up with the demand. According to the Pew Research Center, “These jobs are in the economy’s fastest job-growth areas. They are higher-paying jobs, but that also require higher levels of preparation and above-average levels of social skills, analytical skills, and often both.”2
DISC capitalizes on Tufts’ distinctive position in the institutional landscape as a research-intensive university with a strong commitment to the liberal arts. DISC will support data-driven study in both the sciences and the liberal arts with a focus on topics that will contribute to the betterment of humanity.
DISC will serve as a Tufts-wide focal point, fostering collaborations between people from existing departments, schools, and campuses who share an interest in data-intensive research and pedagogy. It will serve as a nexus to connect experts in the science of data with scholars from a wide variety of disciplines who want to use data-intensive techniques to advance their fields. It will enable cutting-edge research and state-of-the-art training so Tufts graduates will be well positioned to fill leadership roles in this increasingly important multi-disciplinary area. As a center, DISC will host various activities to nurture Tufts’ growing data science community, including forums, mini-symposia, and seminars.
DISC will foster a vibrant and sustainable culture of data literacy across the university, building on existing strengths in the science of data and data-intensive scholarship in areas such as computational biology, cybersecurity, the digital humanities, environmental studies, and health informatics.
By bringing together experts in the science of data and diverse application areas, DISC will enable research breakthroughs in both the fundamentals of data science and in application areas. These breakthroughs are likely to come in areas as diverse as personalized medicine, open digital health platforms, cyber security, climate change, economic forecasting, and the digital humanities.
DISC will help faculty, staff, and students across all campuses identify pedagogical needs and develop appropriate degree programs, courses, and training modules to unlock the full potential of data-intensive studies.
Possible new academic offerings would include: