- The NYU team behind the recent NSF Rapid Research Award “DETER: Developing Epidemiology mechanisms in Three-dimensions to Enhance Response” – led by Professor Debra Laefer – has released their 3-D data tracking human interactions outside of coronavirus hotspots. The team has made the complete data set available as a resource for scientists building machine learning models to map and analyze the spread of the coronavirus.
- Assistant Professor Julia Stoyanovich released a new comic book on Data, Responsibly. You can read the first volume “Mirror Mirror” here.
- On October 29th, Assistant Professor Giuseppe Loianno will lead a full-day workshop on “Perception, Learning, and Control for Autonomous Agile Vehicles” at IROS 2020. This workshop will bring together heterogeneous communities working on aerial robots, mobile ground vehicles, and autonomous cars to discuss the next research challenges in the area of agile navigation of autonomous robots and vehicles to achieve super-human maneuvering and racing capabilities in dynamic and challenging environments.
- Kinova Robotics interviewed Assistant Professor Giuseppe Loianno on how Kinova’s Gen3 robotic arm was part of a winning solution at the 2020 MBZIRC competition. Earlier this year, Professor Loianno was part of a team featuring students from his lab (the Agile Robotics and Perception Lab – ARPL), the University of Pennsylvania and the Czech Technical University in Prague, that won first place at the MBZIRC competition.
- A new webinar from C2SMART examines how a framework by Associate Professor of Practice Stanislav Sobolevsky can be used for assessing mode-shift and the resulting economic, social, and environmental implications for any future urban transportation solutions and policies being considered by decision-makers or transportation companies.
- Assistant Professor Chen Feng recently won a grant from the National Science Foundation to research how soft, wearable robots could improve the future for workers with upper limb disabilities. Collaborating with Tandon co-principal investigators Vikram Kapila and Ludovic Righetti as well as colleagues from CUNY and Rutgers New Jersey Medical School, the team is developing new perceptive and adaptive soft, wearable robots and investigating how these robots could provide physical assistance and skill training for older workers and workers with physical disabilities.
- On October 2, Professor Debra Laefer gave a talk on “Remote Sensing and Data Science: Opportunities and Challenges” during the South Big Data Hub Data Science Education & Workforce Working Group October Meeting.
- On September 17th, Professor Debra Laefer gave a talk on “Historic Preservation through Advanced Remote Sensing Capabilities” as part of Columbia University Graduate School of Architecture, Planning and Preservation (GSAPP)’s Preservation Lecture Series. If you missed the event, you can listen to a podcast recording here.
- NYU CDS PhD Candidate Christopher Ick, working with Visiting Scholar & Postdoctoral Researcher Vincent Lostanlen at NYU MARL, will be presenting some of their recent work at the upcoming Deepmath Conference on the Mathematical Theory of Deep Neural Networks. In “Learning a Lie Algebra from Unlabeled Data Pairs,”the team discusses a method of modeling and learning nonlinear transforms by way of the one-parameter subgroup of the general linear group.
- Tai-Yu Ma, Joseph Y. J. Chow, Sylvain Klein and Ziyi Ma. “A user-operator assignment game with heterogeneous user groups for empirical evaluation of a microtransit service in Luxembourg.” (2020). Transportmetrica A: Transport Science, DOI: 10.1080/23249935.2020.1820625
- This paper serves to validate our NSF-funded methodology to evaluate Mobility-as-a-Service platforms. Mobility companies can use this case study and our methodology to determine appropriate interventions to ensure stable operations. The work was a collaboration with researchers from the Luxembourg Institute of Socio-Eocnomic Research.
- Sripathi Sridhar and Vincent Lostanlen. “Helicality: An Isomap-based Measure of Octave Equivalence in Audio Data.” International Society for Music Information Retrieval (ISMIR) Conference (2020).
- Mark Cartwright, Jason Cramer, Ana Elisa Mendez Mendez, Yu Wang, Ho-Hsiang Wu, Vincent Lostanlen, Magdalena Fuentes, Graham Dove, Charlie Mydlarz, Justin Salamon, Oded Nov, and Juan Pablo Bello. “SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context.” arXiv preprint arXiv:2009.05188 (2020).
- Shihong Fang and Anna Choromanska. “Multi-modal Experts Network for Autonomous Driving,” 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 6439-6445, doi: 10.1109/ICRA40945.2020.9197459.
- Suyog Kapsikar, Indrajit Saha, Khushboo Agarwal, Veeraruna Kavitha, and Quanyan Zhu. “Controlling Fake News by Tagging: A Branching Process Analysis.” arXiv preprint arXiv:2009.02275 (2020).
- Gérard Chevalier, Christine Chomienne, Nicolas Guetta Jeanrenaud, Julia Lane, and Matthew Ross. “A new approach for estimating research impact: An application to French cancer research.” 2020. Quantitative Science Studies. Advance publication. https://doi.org/10.1162/qss_a_00087
- Researchers release 3-D data tracking human interactions outside of coronavirus hotspots – examines the recent NSF Rapid Research Award by Professor Debra Laefer that observes individual behaviors outside of COVID-19 hotspots (via Medical Xpress).
- Researchers to Study Air Quality, Traffic, and Walkability in Downtown Brooklyn– explores a new partnership between NYU CUSP, Downtown Brooklyn Partnership (DBP), and urban tech startups Walkspan and Aclima (via Brooklyn Paper)
- 5 Questions with COVID Researchers: Debra Laefer, New York University (via Northeast Big Data Innovation Hub)
- 5 Questions with COVID Researchers: Maurizio Porfiri, New York University (via Northeast Big Data Innovation Hub)
- Democracy suffers when government statistics fail – Professor Beth Simone Noveck reviewed the new book by Professor Julia Lane, “Democratizing Our Data: A Manifesto” (via Nature Research)
- In a new paper titled “The policy black box in Singapore’s digital contact tracing strategy,” MS Candidate Lazarus Chok suggests that the libertarian framing of Singapore’s digital tracing efforts is a too-convenient dichotomy for legitimizing untested, unlimited surveillance.
- Our application for both Spring 2021 and Fall 2021 is now open! Learn more about our programs in Urban Informatics on our website or start your application here.
- NYU CUSP is pleased to announce its 2021 call for Capstone Projects, open to city agencies, private sector companies, and academic organizations interested in co-supervising an applied urban analytics project with CUSP graduate students! The 6-month Capstone Program is the experiential learning focus of the MS program, teaching CUSP students to utilize urban data science techniques within the constraints of political, social, and financial considerations, as well as address issues of data privacy, validity, and transparency. Learn more about the 2021 Capstone Program and submit a project proposal here: https://cusp.nyu.edu/capstone-projects/