As Rajesh K. Gupta, the newly appointed dean of the School of Computing, Information and Data Sciences (SCIDS), thinks about ...

For people working across the philanthropic sector, data science can feel like an unwieldy topic. Where do you start? What data is important? How does it fit into your community work? Before you get ...

What are the differences between gathering and analyzing quantitative and qualitative information? Better yet, how can you develop these skills and use this knowledge in a real-world job? Quantitative ...

This paper, compiled by Prof. Huadong Guo and his team, discusses the potential and utility of Big Earth Data through a number of case studies to support the 2030 Agenda for Sustainable Development.

Data science promises us professionals who understand how to make data useful. But do we know what it takes to be a data scientist and if so, do we know how to teach those skills to others? As a ...

As an accountant and entrepreneur, I’m always trying to keep track of the newest developments in my professional fields. I believe that it’s important to follow present-day trends in order to gain ...

After decades of intense focus on genetics, the biomedical research community is undergoing a major shift, focusing on a new ...

One of the big questions about the future of work is how we will train people to take on some of the fastest growing technical jobs in the economy. After all, occupations such as Data Science are ...

The Data Science and AI Institute invites projects that address the creation, documentation, quality assurance, and integrity of data used for the development of trustworthy AI systems. Proposals ...