Dr. Michael L. Brodie
Data Science, the Future of Computing, and the need for a Science of Data Science
Michael L. Brodie, Harvard University
Keynote Abstract
Data Science, one of the most significant innovations of the 21st C, may transform our world. It marks the emergence of a new reasoning paradigm for any problem for which there is adequate data, multidisciplinary problem solving, and a new generation of computing, hence the need for a Science of Data Science. Explore with me its significance and impact by considering its growth, its spectacular successes and failures, and open research and application challenges, in six provocative hypotheses. Unlike many data science studies, we consider data and analytics as two sides of every data science problem and solution. We will conclude with its most critical and least achieved requirement: data science acumen, how to reason in this new paradigm, and speculate that it may mark the rise a much larger movement involving technology, science, business, economics, and society.
Bio
Dr. Michael L. Brodie has over 45 years of experience in research and industrial practice in data science, databases, distributed systems, integration, artificial intelligence, and multidisciplinary problem solving. Since 2013, he has focused on strategic aspects of data and data science. He is a Visiting Scholar in the DASlab, School of Engineering and Applied Sciences, Harvard University; advises startups; serves on Advisory Boards of national and international research organizations; is an adjunct professor at the National University of Ireland, Galway, and at the University of Technology, Sydney; and has served on several US National Academy of Sciences committees.
In 2013-2019, he was a Research Scientist in the Data Systems Group at MIT and chaired the Scientific Advisory Committee of Insight, Ireland, one of Europe’s largest data science research institutes. As Chief Scientist of Verizon IT for 20 years, he was responsible for emerging technologies, architectures, IT methodologies and strategies, and guiding industrial-scale deployments of emerging technologies.
Dr. Brodie holds a Ph.D. in databases, AI, and programming languages from the University of Toronto and a Doctor of Science (honoris causa) from the National University of Ireland.
Recent data science publications
- M.L. Brodie, What is Data Science?
- M.L. Brodie, Developing Data Science
In Braschler, M., Stadelmann, T., Stockinger, K. (Eds.), “Applied Data Science – Lessons Learned for the Data-Driven Business”, Berlin, Heidelberg: Springer, 2019, ISBN 978-3-030-11821-1, DOI 10.1007/978-3-030-11821-1