“Data Science is the study of the generalizable extraction of knowledge from data.”
“It is is an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, data mining, and predictive analytics, similar to Knowledge Discovery in Databases (KDD).” – Vasant Dhar
Advancing the field of data science
New sources of data and new techniques for analysis and discovery are transforming science, medicine, and business. The Center for Data Science pursues research that extracts scientific knowledge from rich data through the development and use of new methodologies. The interdisciplinary interactions between the methodological domains of statistics, machine learning, computer science, and applied mathematics and the domains of natural science and social science are creating new discoveries, measurements, and insights.
The Center for Data Science is supporting the education and work of scientists and engineers who are working on data sets that are complex, heterogeneous, large, streaming (real time), or noisy. The Center has activities in the methods, and also in the new areas of natural science, medicine, social science, business, and the humanities that are emerging from unprecedented data sets and new data-analysis methods. In the natural sciences, these include new branches of biology, chemistry, astronomy, physics, and neuroscience. In the social sciences and humanities these include law, economics, sociology, political science, and history.
What is the CDS Leadership Circle? 5 Minutes with Yiran Xu
Yiran Xu, the president of the CDS student-run organization, the Leadership Circle, shares her plans for the upcoming year
2017.10.23 Read More
CDS Hosts 10th Data Science Showcase
Four statistics researchers present overviews of their projects to the Moore-Sloan community, CDS affiliated students and professors, and…
2017.10.19 Read More
Female Islamic preachers are acquiring online authority — and we can use NLP to analyze how they do…
Rich Nielsen uses NLP to explore how male and female Islamic Salafi preachers gain authority online
2017.10.18 Read More
Learning about cancer cells using image recognition
At the most recent Moore-Sloan Research Seminar, Carlos Carmona-Fontaine explained how he is using image analysis to study cancer cell…
2017.10.17 Read More
Can Sleep & Digestive Disruption in Infants be Predictive of Autism or Other Disorders?
David J. Heeger and Carlos Fernandez-Granda aim to characterize normal sleep & digestion cycles of infants with large-scale data sample of…
2017.10.16 Read More
NYU Center for Data Science’s Kyunghyun Cho selected as 2017 CIFAR Azrieli Global Scholar
Cho is one of fifteen global scholars, and will receive $100,000 to support his groundbreaking research in neural machine translation…
2017.10.13 Read More
DeepMind Fellow Profile: Yassine Kadiri
Learn more about Yassine Kadiri, an M.S. Data Science student and one of four DeepMind Fellows at CDS this year
2017.10.12 Read More
Can cellphone data reveal mental health issues?
At the most recent Moore-Sloan Research Lunch Seminar, Mirco Musolesi explains how he is using smartphone data to detect mental health…
2017.10.11 Read More