Department of Information Technology

Smart City

To bring together researchers between divisions and between the department of Information Technology and external parts to create a multidisciplinary joint initiative focusing on IT for smart society.

Current research activities within the Arena

CRUNCH - Climate Resilient Urban Nexus Choices: Operationalising the Food-Water-Energy Nexus

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The CRUNCH project investigates food, water and energy as one complex system, leading to increased knowledge and discoveries that cannot emerge when investigated separately in ‘silos’. It will combine an integrated decision support system and visualisation models with expert knowledge in waste, food, material flows, water and energy management and urban planning, architecture and urban governance. CRUNCH aims for ground-breaking outcomes that are truly transdisciplinary, working closely with local stakeholders at every step of the project.

Contact: Edith Ngai
Link to EU CRUNCH project website

Data Integration and Analysis

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The Uppsala Information Laboratory (http://infolab.it.uu.se ) develops methods to analyse online human-generated data, such as discussions on social media. Data integration and data analysis are a fundamental component of Smart Cities. The lab also participates in a European project on ethics in the Internet of Things.

Contact: Matteo Magnani
Link to results of network analysis research
Link to Ethics & IoT project

GreenIoT for Smart Cities and Open Data

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The GreenIoT project aims at developing an integrated IoT solution for environmental sensing, which enables experimentation with applications and services using open data for sustainable urban development. The GreenIoT architecture has been manifested in terms of a testbed in city centre of Uppsala. The GreenIoT testbed and the open data allow third parties to test new sensing products and develop new applications.

Contact: Edith Ngai
Link to GreenIoT project website

Optimisation

The Optimisation Group focuses on focuses on solving optimisation problems, which is about finding values for unknowns such that constraints are satisfied and, optionally, a cost is (near-)minimal or a gain is (near-)maximal.

Opportunities for optimisation abound in smart cities: smart sensor placement subject to energy constraints, decision support for urban planning, smart routing for transportation and logistics towards greener cities, and so on.

Contact: Pierre Flener, Di Yuan

Updated  2018-10-10 19:54:10 by Edith Ngai.