Big Data, Big Questions: How Does Political Conflict Affect The Economy?

On Wednesday, the Center for Data Science’s very own Moore-Sloan Fellow, Michael Gill, showcased his research on how war and conflict impact the economy. The US Department of Defense outsources most of its military equipment. According to the data gathered about the DoD’s business contracts, they purchase tanks, planes, weapons, and other gear from almost […]

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Skytree: data science in the hands of the masses

The Center for Data Science’s own Vasant Dhar has said the problem with data science is no longer collecting data, but finding the right tools to analyze that data. Skytree, a machine learning software presented by Nick Ball and Alexander Gray at the Moore Sloan Data Science Environment, touts itself as making advanced data mining of […]

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New Student Interviews: Zhanna Zhanabekova

The new semester has just begun, and with that comes a new batch of promising Master of Science in Data Science students. To celebrate our incoming class, we decided to talk with five of the incoming students, to hear about their backgrounds, their interests, and their goals for the future. We’ll be interviewing one student […]

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New Student Interviews: Maya Bidanda

The new semester has just begun, and with that comes a new batch of promising Master of Science in Data Science students. To celebrate our incoming class, we decided to talk with five of the incoming students, to hear about their backgrounds, their interests, and their goals for the future. We’ll be interviewing one student […]

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How Effective are Neural Networks for Object Recognition?

A few weeks ago, The New Yorker magazine published a story titled “Total Recall,” in which one of their correspondents, Patrick Radden Keefe, traveled to England to interview a team of “super-recognizers.” While most humans have spots of trouble putting names to faces, super-recognizers have an uncanny ability to recognize human faces. The city of […]

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How Can Data Collection Be Used to Map City Sounds?

If you want to avoid traffic in a city or congested area, there are applications such as Google Maps and Waze to help you get around. But what about avoiding noise and distracting sounds? The Citygram-Sound Project—a joint collaboration between NYU Steinhardt, NYU’s Center for Urban Studies and Progress, and CalArts—is trying to combat this […]

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CDS Interim Deputy Director Arthur Spirling Awarded Grant from National Science Foundation

We are thrilled to announce that Arthur Spirling, the Interim Deputy Director at the Center for Data Science, has been awarded a $750,000 grant from the National Science Foundation for a project titled, “Computational and Historical Resources on Nations and Organizations for the Social Sciences (CHRONOS).” Spirling, along with colleagues and collaborators from Columbia University, […]

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Welcome to the New CDS Office Space!

The Center for Data Science is proud to announce that we have relocated to the historic Forbes Building on Fifth Avenue in Manhattan! To celebrate the change in location, we talked with Maria Lavin, the Senior Project Manager who oversaw the remodeling and construction of the new space. Can you talk about the initial stages […]

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Neural Networks for Better Photographs?

From the proliferation of smartphones with a built-in camera, to the increasing use of security cameras in public spaces, we are all on camera, more than ever before. And with an increase in images comes an increase in poorly-shot photos.  Unfortunately, most of us are not professional photographers, and oftentimes, extraneous distractions can get in the […]

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How Should Government Agencies Regulate Data Science?

In May of this year, The United Kingdom’s Government Digital Service released a paper titled, the “Data Science Ethical Framework.”  Although it is not a legally binding document, the paper was designed as a guide for government employees, and is a template for the appropriate and ethical uses of data science.  It gives government employees […]

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