Data Science Methods and Tools for Urban Analytics
University of Strathclyde, 27th-28th October
Main organisers: Peter Grindrod, Desmond Higham, Stephen Jarvis
Summary and Objectives:
We will scope out the potential for math/stats and CS/informatics to contribute to, and be inspired by, future cities research. City life generates a vast range of data streams: online social media, telecommunication, geolocation, crime, health, transport, air quality, energy, utilities, weather, CCTV, wi-fi usage, retail footfall, and satellite imaging. The powerful new concept of urban centres as “Living Labs” is inspiring novel research that can lead to improved well-being and economic growth. The workshop will expose and prioritize research topics in city analytics where current expertise can be leveraged and where new ideas are needed. It will also raise awareness of the data privacy issues that are especially relevant in the context of urban data.
Key scientific questions to be answered are:
- How can existing, state-of-the art, mathematical models and computational tools best be exploited to gain new insights about urban life?
- What novel mathematical models and novel computational tools are required, and how can we ensure that new research in this field is taken up rapidly and effectively by stakeholders?
The researchers/stakeholders/external partners involved will bring skills in data science, dynamical systems, network science, statistical inference, complexity science, numerical analysis, pervasive computing, high performance computing, agent based modelling, geographic information systems (GIS), machine learning, metrology and the Internet of Things.
Application areas for these research activities include health/wellbeing, energy, marketing, crime, security, privacy, innovation/growth, crowd behaviour, social interactions, urban planning and transport.
Targets for impact within academia include researchers in energy, health, transport, security, social science and planning. Outside academia, economic, societal and cultural impact will be aimed at a range of sectors, including high street retail, energy, local government, police, NHS and user groups/charities.