Urban Data Management, Analysis and Visualization
New York University –
The large volumes of urban data, along with vastly increased computing power, open up new
opportunities to better understand cities. Encouraging success stories show that data can be
leveraged to make operations more efficient, inform policies and planning, and improve the
quality of life for residents. However, analyzing urban data often requires a staggering amount of
work, from identifying relevant datasets, cleaning and integrating them, to performing
exploratory analyses and creating predictive models that take into account spatio-temporal
processes. Our long-term goal is to enable domain experts to crack the code of cities by freely
exploring the vast amounts of urban data. In this talk, we will present methods and systems
which combine data management, analytics, and visualization to increase the level of
interactivity, scalability, and usability for urban data exploration. We will show practical
applications of the novel technology in real applications. This work was supported in part by the
National Science Foundation, the Moore-Sloan Data Science Environment at NYU, IBM Faculty
Awards, AT&T, NYU Tandon School of Engineering and the NYU Center for Urban Science
Cláudio T. Silva is a professor of computer science and engineering and data science at New
York University. He has appointments at the Tandon School of Engineering, Center for Data
Science, Center for Urban Science and Progress, and Courant Institute of Mathematical Sciences.
His research interests include urban computing, data science, visual analytics, geometric
computing, and sports analytics. He received his PhD in computer science from the State
University of New York at Stony Brook in 1996. He is an IEEE Fellow and was the recipient of
the 2014 IEEE Visualization Technical Achievement Award. Claudio is co-PI on the NSF-
funded Sounds of New York City (SONYC) project, whose goal is to create an aural map of
NYC to help city agencies and residents to help address the problem of noise pollution.
Date: 2018-Jun-05 Time: 15:30:00 Room: DEI Meeting Room
For more information:
OLISSIPO Summer School in Lisbon | Computational phylogenetics to analyse the evolution of cells and communities
We are happy to announce the OLISSIPO Summer School on Computational phylogenetics to analyse the evolution of cells and communities, which will be held in Lisbon, Portugal, at INESC-ID, between July 2-7, 2023.
David Posada, University of Vigo (class)
João Alves, University of Vigo (hands-on)
Nadia El-Mabrouk, Université de Montréal (class)
Mattéo Delabre, Université de Montréal (hands-on)
Ran Libeskind-Hadas, Claremont McKenna College (class and hands-on)
Russell Schwartz, Carnegie Mellon University (class and hands-on)
See the preliminary agenda at: https://olissipo.inesc-id.pt/tree-tango-school
Registration is mandatory. You can register at: https://forms.gle/VsASFHW5E7MJvaCc9
The registration fee is 250€ for students and OLISSIPO members and 350€ for postdocs or other researchers (meals indicated at the schedule of the school are included, accommodation and flights are not). All details will be made available upon registration.
We will have slots for flash talks (3-10 min depending on the number of submissions) to present yourself and the work you have been developing in your research.
The 13th Lisbon Machine Learning School | LxMLS 2023
The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico (IST). LxMLS 2023 will be a 6-day event (14-20 July, 2023), scheduled to take place as an in-person event.
The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.
Check online for information about past editions: LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020, LxMLS 2021, LxMLS 2022 (you can also watch the videos of the lectures for 2016, 2017, 2018, and 2020).
31st International Conference on Information Systems Development (ISD 2023)
The 31st International Conference on Information Systems Development (ISD 2023) conference provides a forum for research and developments in the field of information systems. The theme of ISD 2023 is “Information systems development, organizational aspects and societal trends”. New trends in developing information systems emphasize the continuous collaboration between developers and operators in order to optimize the software delivery time. The conference promotes research on methodological and technological issues and how IS developers and operators are transforming organizations and society through information systems.
The ISD 2023 conference held this year also provides an opportunity for researchers and practitioners to promote their research, practical experience, and to discuss issues related to Information Systems through papers, posters, and journal-first paper presentations.
ISD 2023 will be hosted by Instituto Superior Técnico, in Lisbon, Portugal, on August 30–September 1, 2023.