- Under a $1 million grant from the National Science Foundation (NSF) and Amazon, NYU CUSP Professor Daniel B. Neill will lead a three-year research project centered on the growing use of Artificial Intelligence (AI) by urban public sector organizations—work that will include the creation of open source tools for assessing and correcting biases. The research team also includes CUSP Assistant Professor Ravi Shroff, CUSP Associate Professor Constantine Kontokosta, and Edward McFowland III, a professor at the University of Minnesota’s Carlson School of Management.
- Assistant Professors S. Farokh Atashzar and John-Ross Rizzo, both affiliated faculty members at CUSP, are pioneering a system that tracks and computationally models CorticoMuscular function and connectivity and builds the basis for the first medical device development tool for systematic, objective and transparent evaluation of pre-market rehabilitation devices for strokes. Learn more about their NSF project here.
- A paper by Assistant Professor Luis Ceferino on “Effective plans for hospital system response to earthquake emergencies” was spotlighted in the Editor’s Highlights in the Public Health section of Nature Communications.
- Adjunct Assistant Professor Alexander Shermansong examined how technology can increase housing affordability by addressing financial resilience, food and healthcare access, and digital workforce participation in a new article for TechCrunch.
- The GovLab is proud to announce the launch of our FREE online program, “Solving Public Problems.” We designed it to give you the problem-solving skills you need to take a mission driven project from idea to implementation. This program teaches you the practical skills you need to identify and define public problems, design and test solutions with data and innovation, and gather support for your initiative through persuasive writing and building partnerships. By combining the teaching of quantitative and qualitative methods with participatory and equitable approaches that include the communities you aim to help in the problem-solving process, this program will enable you to become a more powerful agent of change with the ability to realize as well as design innovative and measurable solutions to contemporary problems. Learn more and sign up for the course here.
- Sarah Bechtle, a PhD student working with Associate Professor Ludovic Righetti, won the best student paper award at the International Conference of Pattern Recognition 2020 for her work on “Meta-Learning via Learned Loss.”
- The GovLab and the Center for Responsible AI at NYU Tandon jointly launched a free, online course called AI Ethics: Global Perspectives. The course covers an ongoing interdisciplinary conversation on AI ethics, and how to raise awareness and help institutions work towards more responsible use.
- Dylan Fitzpatrick, Yun Ni, and Daniel B. Neill. “Support vector subset scan for spatial pattern detection.” Computational Statistics and Data Analysis, 157: 107149, 2021.
- Daniel Zeng, Zhidong Cao, and Daniel B. Neill. “AI-enabled public health surveillance: from local detection to global epidemic monitoring and control.” In L. Xing, M. L. Giger, and J. K. Min, eds., Artificial Intelligence in Medicine, 437-453, 2021.
- C. Sebastian Mancero Castillo, S. Wilson, R. Vaidyanathan and S. Farokh Atashzar, “Wearable MMG-plus-One Armband: Evaluation of Normal Force on Mechanomyography (MMG) to Enhance Human-Machine Interfacing,” in IEEE Transactions on Neural Systems and Rehabilitation Engineering, doi: 10.1109/TNSRE.2020.3043368.
- L. Tøttrup, S. F. Atashzar, D. Farina, E. N. Kamavuako and W. Jensen, “Nerve Injury Decreases Hyperacute Resting-State Connectivity Between the Anterior Cingulate and Primary Somatosensory Cortex in Anesthetized Rats,” in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 12, pp. 2691-2698, Dec. 2020, doi: 10.1109/TNSRE.2020.3039854.
- C. Nicholson-Smith, V. Mehrabi, S. F. Atashzar and R. V. Patel, “A Multi-Functional Lower- and Upper-Limb Stroke Rehabilitation Robot,” in IEEE Transactions on Medical Robotics and Bionics, vol. 2, no. 4, pp. 549-552, Nov. 2020, doi: 10.1109/TMRB.2020.3034497.
- Xu, S. J., Xie, Q., Chow, J.Y.J., & Liu, X. (2021). “Empirical Validation of Network Learning with Taxi GPS Data from Wuhan, China.” IEEE Intelligent Transportation Systems Magazine 13(1), 42-58.
- Konstantin Klemmer, Daniel B. Neill, and Stephen A. Jarvis. “Understanding spatial patterns in rape reporting delays.” 2021. Royal Society Open Science 8: 201795. https://doi.org/10.1098/rsos.201795
- Francesco Parino, Lorenzo Zino, Maurizio Porfiri and Alessandro Rizzo. “Modelling and predicting the effect of social distancing and travel restrictions on COVID-19 spreading.” 2021. Journal of the Royal Society Interface. http://doi.org/10.1098/rsif.2020.0875
- NSF & Amazon Grant Supports Research at NYU to Help Cities Reduce Biases in AI Supported decision-making (Unite.AI)
- These scientists created a model city to figure out the most effective order to give the vaccine (Fast Company)
- New COVID-19 model shows little benefit in prioritizing high-risk individuals for vaccination (NYU Tandon School of Engineering)
- Spotlight on Maurizio Porfiri (NYU Tandon School of Engineering)
- NSF and Amazon collaborate to advance fairness in AI (National Science Foundation)
- C2SMART paves a path forward for transportation in a post-pandemic world at TRB 2021 (NYU Tandon School of Engineering)
- NYU CUSP is currently accepting applications for Smart Cities Postdoctoral Associates, with a tentative start date of September 1, 2021. We seek applicants with a strong record of interdisciplinary work in developing and applying concepts and methods from science, technology, computing, engineering and applied mathematics in the service of urban communities across the globe. Smart Cities Postdoctoral Associates are full-time, non-tenured positions for two years, with annual appointments renewed based on satisfactory performance. The positions will be based at CUSP’s state of the art facility in Brooklyn. A doctoral degree in an applicable field is required. NYU values equity, diversity, and inclusion and especially encourages candidates from historically underrepresented groups to apply.
- NEW PROGRAM: NYU CUSP’s Online Advanced Certificate can be completed from anywhere in the world, personalized to your busy schedule, and is offered at a 50% tuition discount to qualified individuals, to help meet this critical urban moment. Our expert faculty members will serve as your mentor in using data for social good – helping cities around the world become more productive, livable, equitable, and resilient. Using synchronous online coursework with support videos and materials, you will explore how data analytics can help solve challenges faced by growing cities worldwide. Learn more here or submit an application for our inaugural class, beginning in Fall 2021.
- Earn your Master’s in Applied Urban Science and Informatics! It’s not too late to apply for Fall 2021 – learn more about our programs in Urban Informatics on our website or start your application here.