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A collaboration with Intel will see UCL explore how technology can support and sustain the social and economic development of cities, focusing on the Queen Elizabeth Olympic Park area.
In 2012, UCL, Intel and Imperial College London signed an agreement at 10 Downing Street to launch the Intel Collaborative Research Institute for Sustainable Connected Cities (ICRI Cities), dedicated to exploring how technology can support and sustain the social and economic development of cities worldwide.
ICRI Cities focuses on making cities more connected and sustainable, and combines methods from computer science, the social sciences, interaction design and architecture.
" It is clear that universities need to collaborate both with each other and with businesses on projects such as this. Partnership with industry is vital for pioneering research, contributing to growth and innovation in London, and this project in particular is an exciting development for the Queen Elizabeth Olympic Park.” Dr Celia Caulcott, UCL Vice-Provost (Enterprise and London)
In the first phase of collaboration, from 2012 to 2015, the research agenda used London as its primary ‘test bed’, by harnessing real-time user and city infrastructure data.
In December 2015, ICRI Cities extended into a new two-year phase, adding the Future Cities Catapult to the partnership. In this period, all activities will focus on Queen Elizabeth Olympic Park as a ‘Living Lab’, with research focusing on issues related to the Internet of Things, especially technical areas, user engagement and creating sustainable ecosystems.
Academics from the UCL Centre of Excellence in Human Computer Interaction (UCLIC) are UCL’s primary academic and research lead throughout ICRI Cities. In the new phase, UCLIC is working closely with the UCL Bartlett Centre for Advanced Spatial Analysis, an interdisciplinary research centre dealing with digital technologies in geography, space and the built environment.
- UCL Centre of Excellence in Human Computer Interaction
- UCL Bartlett Centre for Advanced Spatial Analysis
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