Smart Data for EU Triangulum Lighthouse Cities

Smart Data for EU Triangulum Lighthouse Cities

Prof. Chunming Rong, Head, CIPSI Center, University of Stavanger, NORWAY

Speaker(s): Prof. Rong,

Agenda:

About the Talk 

Supported by the Horizon 2020 on Smart Cities and Communities (SCC), the Triangulum project shall demonstrate how a systems innovation approach based around the European Commission’s SCC Strategic Implementation Plan (SIP) can drive dynamic smart city development. The SIP shall be tested across three lighthouse cities: Manchester, Eindhoven and Stavanger, which represent the main typologies of European cities. They are complemented by our follower cities Prague, Leipzig and Sabadell. The suite of services developed will be based around zero/low energy districts, integrated infrastructures and sustainable urban mobility designed to deliver a range of cross-cutting outcomes across different sectors and stakeholders. This will provide the basis of recommendations on how to facilitate wider replication. The following impacts are expected: reduced energy consumption of buildings, increased use of renewable energies, increased utilization of electric vehicles, deployment of intelligent energy management technologies and the deployment of an adaptive and dynamic ICT data hub. The data hub provides access to data from the urban infrastructures and allowing for provisioning of value added services on top of it. The data might be available as streams of real-time sensor data, as (static) raw data originating from various data providers, or as enriched data which has been extracted and improved out of the raw data and/or the real-time sensor data with e.g. semantic relations or quality information. The Open Data and Service Engine consists of two layers: 1) the Analytics Layer that deals with real-time sensor data, raw data and corresponding enriched data, which are all in turn made available for the required smart city ICT services, and 2) the Service Layer that uses filtered and aggregated data and information from the Analytics Layer in order to provide corresponding services which are either used by urban managers, citizens and communities via Smart City Apps or that monitor, control and/or manage urban infrastructures, e.g. in order to assess, evaluate, and improve their quality. 

Location:
Room: 202
Bldg: Electrical and Computer Engineering
New Jersey Institute of Technology
Newark, New Jersey
07102