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 … Continue reading New Student Interviews: Maya Bidanda
One of the most compelling reasons to enter into a Master of Science in Data Science program is the host of career opportunities available upon graduation. At the Center for Data Science, we pride ourselves on being able to give our students access to the plethora of data science opportunities that New York City has to … Continue reading PwC Comes to CDS
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 … Continue reading How Effective are Neural Networks for Object Recognition?
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 … Continue reading How Can Data Collection Be Used to Map City Sounds?
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, … Continue reading CDS Interim Deputy Director Arthur Spirling Awarded Grant from National Science Foundation
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 … Continue reading Welcome to the New CDS Office Space!
Hurricane season is upon us, and for New Yorkers who remember Hurricane Sandy, this season’s La Nina weather system and warmer sea-surface temperatures are not contributing to a welcome forecast. Hurricane warnings have historically been relayed to the general public through television or radio broadcasts, but advancements in weather tracking, combined with the availability of … Continue reading Is Open-Sourced Data the Solution to Hurricane Warnings?
One of the core tenants of data science is the idea of transparency, both in the sense that data collection methods should be open to scrutiny, and that the results of data collection should be shared with the general public. In 2009, President Obama appointed Vivek Kundra as the United States’ first Federal Chief Information … Continue reading The US Government and Data Transparency
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 … Continue reading Neural Networks for Better Photographs?
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 … Continue reading How Should Government Agencies Regulate Data Science?
