The InterSCity project, a collaborative research effort about smart cities and the future internet that involves several Brazilian universities, is promoting a series of 4 open webinars on some of the most exciting advances made by its members. The webinars, which will also count with two international guest speakers, will take place on 04/11, 18/11, 03/12, and 13/12, always at 14h00.
The second webinar (registration at https://bit.ly/interscity-webinar-2), on November 18th, comprises three presentations:
Title: Dataspaces: Enabling Next-Generation Big Data Platform Architecture for Data Ecosystems
Abstract: Digital transformation is driving a new wave of large-scale datafication in every aspect of our world. Today our society creates data ecosystems where data moves among actors within complex information supply chains that can form around an organization, community, sector, or smart environment. These ecosystems of data can be leveraged to transform our world and present new challenges and opportunities in the design of intelligent systems. This talk presents my recent work on using the dataspace paradigm as a best-effort approach to data management within data ecosystems. The talk explores the theoretical foundations and principles of dataspaces and details a set of specialized best-effort techniques and models to enable loose administrative proximity and semantic integration of heterogeneous data sources. Finally, future dataspace research challenges, including data governance and the role of dataspaces to power data-driven AI are discussed.
Edward Curry is a Professor of Computer Science at the Hamilton Institute, Maynooth University. He is a Principal Investigator at the Insight Centre for Data Analytics (www.insight-centre.org) and a funded investigator at LERO The Irish Software Research Centre (www.lero.ie). His research interests are predominantly in open distributed systems, particularly in the areas of incremental data management (e.g. dataspaces), approximation and unstructured events types, with a special interest in applications for smart environments and data ecosystems. His research work is currently focused on engineering adaptive systems that are a foundation of smart and ubiquitous computing environments. He has given invited talks at Berkeley, Harvard, MIT, and Stanford. He is Vice President of the Big Data Value Association (www.BDVA.eu) a non-profit industry-led organisation with the objective of increasing the competitiveness of European Companies with data-driven innovation.
Title: Application Studies of IoT Devices for Landslide Monitoring
Presenter: Alessandro Santiago dos Santos (IPT)
Title:Acceleration of Smart City Simulations
Presenter: Daniel Cordeiro (EACH-USP)
Please note that, while attendance is free of charge, you must register beforehand at https://bit.ly/interscity-webinar-2.
The first webinar took place on November 4th, with three presentations:
Title: Urban mobility: using mathematical models to predict where and how often we go
Abstract: Understanding the patterns underlying human mobility in urban areas is essential to better plan cities, engineering traffic, and mitigating diseases. However, existing studies have characterized only some spatial features of mobility — such as travel distance — overlooking an important temporal feature: how frequently do we visit a particular place? And, how is this visitation frequency related to the distance we traveled? Modeling the interplay between spatial and temporal features of mobility is critical; for instance, it can provide urban planners with the information to best place a shopping mall to attract customers.
The analysis of over 8 billion human mobility traces collected over four continents reveal that humans have a natural tendency of trading off travel distance with frequency: the further we travel, the less frequently we do it, according to a “visitation law” that can be described through a simple mathematical law. We will then show how this striking discovery can be used to better locate businesses and facilities in urban spaces, and find more effective containment strategies for disease spreading.
Paolo Santi is Principal Research Scientist at MIT Senseable City Lab and Research Director at the Istituto di Informatica e Telematica, CNR, Pisa, Italy. Dr. Santi holds a “Laurea” degree and the PhD in computer science from the University of Pisa, Italy. Dr. Santi is a member of the IEEE Computer Society and has recently been recognized as Distinguished Scientist by the Association for Computing Machinery. His research interest is in the modeling and analysis of complex systems ranging from wireless multi hop networks to sensor and vehicular networks and, more recently, smart mobility and intelligent transportation systems. In these fields, he has contributed more than 160 scientific papers and two books.
Title: BikeScience: Visual Analytics of Active Mobility, Assessment of the Cycling Potential of a Large Metropolis
Presenters: Higor Amario de Souza (RAD/IME-USP) and Pedro Freire (IME-USP)
Title: Analyzing the Mobility of Patients in a Large National Health System at Different Levels
Presenters: Lucas Stankus and Gabriely Pereira (IME-USP)