Rutgers Institute for Data Science Learning and Applications

Tags: Data Science

Statement of Purpose

Rutgers Institute for Data Science, Learning, and Application aims to enhance research in the affiliated departments, institutes, centers, and programs to foster interdisciplinary, data-intensive research collaborations, and be a Rutgers-wide resource for collaborative projects and consortia related to Data Science, Learning, and Applications. This will be achieved through federally funded programs by focusing on bringing together multiple faculty with connected research interests. The Institute will leverage current strengths by creating a multiplier effect in many of the areas across Rutgers that already are primed in the direction of Data Science.

Institution:

Rutgers Business School

Research Center Director

Jaideep Vaidya

Research Center Director's Job Title

Distinguished Professor and Department Vice Chair

Some Research Centers in
Data Science

In Research Centers

Harvard Faculty of Arts and Sciences
Harvard Data Science Initiative
The Harvard Data Science Initiative represents Harvard’s commitment to shaping the new science of data. It illuminates the new interdisciplinary pathways that our faculty, students, and partners will use to solve real problems, in a world with critical ethical challenges regarding facts, data, and truth.

In Research Centers

UTS Business School
Data Science Institute
The UTS Data Science Institute has deep experience in helping businesses and government unleash value from their data that supports evidence-based decisions. We deliver practical, innovative solutions to solve real-world challenges.

In Research Centers

Indian Institute of Management
Brij Disa Centre for Data Science and Artificial Intelligence
The Brij Disa Centre for Data Science and Artificial Intelligence (CDSA) at the Indian Institute of Management Ahmedabad (IIMA) provides a common platform to faculty, scholars, and practitioners for conducting and disseminating cutting-edge research on data analytics and artificial intelligence that offers solutions applicable to business, governance, and policy.Besides generating action oriented insights, CDSA is also responsible for dissemination of the knowledge generated to a wider audience both within and outside the realm of the Institute. Seminars, workshops, and conferences are regular activities at the Centre, which are conducted to reach out to and engage with stakeholders.The Centre aims to forge synergistic and collaborative relationships between scholars and practitioners in dataintensive organizations, besides undertaking case-based research to understand the current industry practice and develop case studies for classroom teaching.Furthermore, through its collaboration with the industry, CDSA takes up challenging consulting projects of considerable practical importance. These projects are targeted at providing an opportunity for students to participate in projects that aim at outcomes that can further benefit the organisation and the business, at large.A key offering from the Centre is the Annual Report, which would provide a holistic view of the Data Science and Artificial Intelligence industry, identify challenges and gaps, gauge scope of the industry and offer plausible solutions that can be utilised by the industry and policy makers.