CDS’ Arthur Spirling Wins CAS Golden Dozen Teaching Award

Spirling, Deputy Director of CDS, talks about his approach to teaching and shares advice for students Arthur Spirling, Associate Professor of Politics and Data Science, has been honored this year with a Golden Dozen Teaching Award, which “recognizes faculty for their outstanding contribution to learning in the classroom.” He sat down with me to talk about … Continue reading CDS’ Arthur Spirling Wins CAS Golden Dozen Teaching Award

Best Practices for Music Information Retrieval Open Source Software Sharing

Combating reproducibility issues with standardized procedures In this era of strange, burgeoning technologies, it is not uncommon to hear a wistful, “Remember the old days? When life was simpler?” Well, until recently, music information retrieval (MIR) was a simpler world too. As MIR tasks and methods have become increasingly complex, modern researchers have a responsibility … Continue reading Best Practices for Music Information Retrieval Open Source Software Sharing

A Novel Method to Model Urban Ambulance Traffic

Researchers have long-term ambition of improving ambulance operational efficiency with data science Civilian ridesharing traffic, like Lyft, benefits every day from tailored data-driven routing methods, but what about emergency vehicles? As part of a long-term effort, new research from CDS Moore-Sloan Data Science Fellow Anastasios Noulas and Birkbeck College, University of London researchers Marcus Poulton, David Weston, and George Roussos aims to improve … Continue reading A Novel Method to Model Urban Ambulance Traffic

Testing Theories About Our Universe’s Evolution with Convolutional Neural Networks

Using CNNs to predict galaxy formation by leveraging dark matter properties It is rare for most people to step back and consider their own small place in the universe — except perhaps in the field of cosmology. From the Big Bang to the present and beyond, cosmologists attempt to understand the universe and its development. A new research … Continue reading Testing Theories About Our Universe’s Evolution with Convolutional Neural Networks

Surface Reconstruction: A New, Improved Method for an Old Problem

Using neural networks, new method outperforms all existing methods for surface reconstruction Surface reconstruction refers to methods of digitally representing three-dimensional objects. It has been a research area since the 1990s and has wide-ranging applications for computerized versions of the real world. While many surface reconstruction methods already exist, including some data-driven approaches, CDS researchers … Continue reading Surface Reconstruction: A New, Improved Method for an Old Problem

Fake News on Facebook: A Rare Occurrence

The dissemination of fake news received widespread attention from journalists, scholars, and the public after the 2016 election, with some people even ascribing the election outcome to the spread of false information on social media. But a new study from CDS affiliate faculty members Jonathan Nagler and Joshua Tucker, Professors of Politics and co-Directors of the NYU Social Media and … Continue reading Fake News on Facebook: A Rare Occurrence