- Welcome to Renato Assunção from the Computer Science Department at Universidade Federal de Minas Gerais (UFMG), Belo Horzonte, Brazil, who will be working with Prof. Daniel Neill through the month of February. They are working on a paper together for the upcoming KDD conference.
- Welcome to Jorge Garcia-Vidal of the Computer Architecture Department at the Universitat Politècnica de Catalunya joined us January 23. He is working with Prof. Masoud Ghandehari.
- Welcome to Andrés Leiva Araos, CTO at Telefónica R&D Chile and a PhD student in Computer Science at the Pontifical Catholic University of Valparaiso. He will be working with Huy Vo. Andres’ doctoral work is based on the study, classification and predictability of the semantics of urban mobility from traces of cell phones.
- Welcome Tandon Masters students Sharma Lakshay and Roshan Sridhar; and undergrads Alex MacKay, Sara Aldhaheri, and Johnny Zhang who will be working with Debra Laefer through the Tandon VIP program, which allows students to earn course credit through continuing practical research experiences in faculty members’ research groups. Her students will be working on urban modeling using remote sensing data including the brand new terrestrial laser scanning data collected in December around Washington Square. Alex and Sara are here on exchange from NYUAD.
- Book Launch: On Tuesday, February 27 at 5PM in the Puck Building, Neil Kleiman and Harvard’s Stephen Goldsmith will present their new book, A New City O/S: The Power of Open, Collaborative, and Distributed Governance (Brookings Institution Press, 2017). They will be joined by Linda Gibbs, Bloomberg Associates, and Miguel Gamino, NYC Chief Technology Officer, for a panel discussion moderated by Matt Chaban, Center for an Urban Future. A reception will follow. Register here.
- A National Geographic feature, This Technology Could Transform Life in Cities, describing Prof. Debra Laefer’s research is now in print and online. A video clip showing a fly through of downtown Dublin is also posted.
- Prof. Daniel Neill will be giving two talks this month: “Machine Learning for Public Health and Disease Surveillance,” American Society for Microbiology 2018 Biothreats Meeting, Baltimore, MD, Feb 12-14 and “Auditing Black-Box Algorithms for Fairness,” at the Workshop on Accountable Decision Systems, New York, NY.
- Laefer, DF, Vo, AV, Bertolotto, M. (in press). A spatio-temporal index for aerial full waveform laser scanning data. ISPRS Journal of Photogrammetry and Remote Sensing.
- Daniel Neill and his CMU doctoral student William Herlands published two papers based on work done while William was at CUSP as part of the Urban Physiology Project. The first paper provides a general methodology for pattern detection in correlated data, such as multiple spatially localized data sources in an urban setting. The second paper is a specific application of our methodology to identify anomalous geographic, demographic, and behavioral trends in drug overdose deaths.
- Herlands, E. McFowland III, A. Wilson, and D.B. Neill (2018). Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data. Proc. 21st International Conference on Artificial Intelligence and Statistics, in press.
- D.B. Neill & W. Herlands (2018): Machine Learning for Drug Overdose Surveillance, Journal of Technology in Human Services, DOI: 10.1080/15228835.2017.1416511