What Does a Data Scientist Do?

What is a data scientist?  The question is seemingly simple, and yet deceptively complex.  A data scientist obviously works with data, but in what capacity?  Is a data scientist more concerned with the collection of data, or data analysis?  And what is the end goal for a data scientist?  With data available on everything from digital […]

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Kx Systems comes to CDS

Last week, the Center for Data Science welcomed Kx Systems—a software company based in New York—into our office, where they gave two consecutive day-long workshops on their q programming language, and their kdb+ database. Kx Systems’ kdb+ database was designed for time-series analysis, so it’s a tool that is most useful for either collecting real-time data, or working […]

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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.   Investment decisions are often bench marked against the S&P 500, which is a collection of some of the healthiest US corporations, but there can be other benchmarks that apply to portfolio managers depending on their strategy. As a […]

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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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