Ethics in Data Collection

As data collection and data analysis have become entrenched in our daily lives, the conversations surrounding the ethical treatment and usage of data are becoming increasingly important.  Almost every interaction you have—talking with a friend on social media, information you give to your doctor, or a purchase you make online—can be translated into and analyzed […]

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Money, Machines, and Markets with Vasant Dhar

The financial markets—the stock exchange, bonds, commodities—are a historically high-risk, high-reward avenue towards making, or losing, money.  Besides working as a television weatherman, investment banking is one of the few fields where you only have to be correct sixty percent of the time to be considered a smashing success.  Investment decisions are generally gauged against the S&P […]

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Faculty Interview: Sam Bowman

Sam Bowman is one of the leading researchers in the field of natural language processing (NLP), and recently joined NYU as an Assistant Professor in Computational Linguistics, a joint position between NYU’s Linguistics department, and the Center for Data Science.  This fall, he will be teaching a course titled “Seminar in Semantics: Artificial Neural Networks.”  […]

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The “Unknown Unknowns” of Machine Learning

One of the struggles in the field of data science is striking the necessary balance between human decision making, and automated computer processing.  The field of machine learning—which looks to create computing systems that can solve problems on their own—is a perfect example of where human intelligence and mechanical computing power must go hand in […]

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CDS Fellow Interview: Daniel Fernández

Daniel Fernández is a new Post-Doctoral Fellow at the Center for Data Science, and his research focuses on the ways in which data science can be used to help individuals with speech impediments. Can you talk about the research projects you’re currently working on at CDS? I am mainly working on a project that focuses […]

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Crowdsourcing Data with Michael Laver

With all of the advancements that are taking place in the field of data science, one aspect that can often be overlooked is the actual collection of data.  While machine learning, neural networks, and artificial intelligence have done wonders for data analysis, the problem of data collection still troubles data scientists.  In the social sciences, data […]

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Faculty Interview: Dustin Duncan

Dustin Duncan is an Affiliated Faculty member at the Center for Data Science, an Assistant Professor at NYU’s Department of Population Health, and the Principal Leader at the Spatial Epidemiology Lab.  His work focuses on the intersection of of public space and personal health, backed by a fundamental understanding of data science. What did you […]

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Data Science Grant Opportunity

As part of the Moore-Sloan Data Science Environment’s ongoing attempt to foster interdisciplinary research, they recently announced the NYU Data Science Seed Grant.  The grant is open to NYU faculty researchers, and will fund 6-8 proposals of either up to $25,000, or up to $6,000, in addition to providing software engineering assistance from the data science incubator.  Neal Beck, an Affiliated Faculty […]

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CDS Hosts its First Data Science Showcase

On March 9th, NYU’s Center for Data Science hosted its first Data Science Showcase—in conjunction with the Stern School of Business—to highlight the interdisciplinary work in data science taking place across a wide range of departments at the University. Professor Zaid Harchaoui, a Visiting Assistant Professor at CDS, kicked off the showcase with a presentation […]

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Using Data Science to Map the Universe

Last Wednesday, the Center for Data Science welcomed one of its Affiliated Faculty members, astrophysicist Michael Blanton, to give a luncheon lecture on his work with the Sloan Digital Sky Survey (SDSS).  Blanton is the director of the SDSS, where he leads a large team of astrophysicists, using data scientists to map the Universe. The […]

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