The Integrated Multimedia City Data (iMCD) research project was based on a unique and exciting collection of data looking at urban life in Glasgow.
This multi-strand data infrastructure involved detailed person-level self-reported and sensed information, with additional Internet, remote sensing, crowdsourced and environmental data sources that measure the social, economic and physical context of the wider metro area. This included a multi-topic household and person-level survey; travel and activity diaries; a privacy and personal device sensitivity survey; a rich set of GPS trajectory data; accelerometer, light intensity and other personal environment sensor data from wearable devices; an image data collection at approximately 7-second resolution of participants daily lives; multiple forms of text-based and multimedia Internet data; Very High Resolution satellite and LiDAR data, and data from transport, weather and air quality sensors.
The dual data collection approach – the purposive, survey-based approach, and the information extraction solution - allowed us to understand the context and motivations driving the social aspects of the urban environment, thereby supporting research on how such context might affect people’s attitudes, lifestyles and beliefs, and their mobility and time use patterns. The effort also allowed us to compare and contrast results from extracted structured and unstructured data with data from a statistically representative sample of respondents who are administered a battery of social science surveys.
Researchers
Project Lead: Piyushimita (Vonu) Thakuriah
Researchers: Jinhyun Hong, Joemon Jose, Zhenhong Li, Catherine Lido, Mark Livingston, Craig Macdonald, Michael Osborne, Iadh Ounis, Gwilym Pryce, Katarzyna Sila-Nowicka
Post-Doctoral Researchers: Soumyadeb Chowdhury, Md Sadek Ferdous, Nut Limsopatham
Related Publications
- Article: Lido, C., Reid, K. & Osborne, M. (2019) Lifewide learning in the city: novel big data approaches to exploring learning with large-scale surveys, GPS, and social media, Oxford Review of Education, 45(2), pp. 279-295.
- Book section: Osborne, M., Houston, M. and Lido, C. (2018) The role of big data in elucidating learning cities ancient, present and future. In: Stenger, J. R. (ed.) Learning Cities in Late Antiquity: the Local Dimension of Education. Routledge: London ; New York, pp. 24-46. ISBN 9781138299870
- Book section: Lido, C., Osborne, M., Livingston, M., Sila-Nowicka, K. and Thakuriah, P. (2018) 'Big Data' techniques to improve learning access and citizen engagement for adults in urban environments. In: Scott, L., Watson, C. and Wu, A.T. (eds.) Quality of Life in Adult Learning. Series: Adult learning in professional, organizational, and community settings. Information Age Publishing, Inc.: Charlotte, NC. (In Press)
- Briefing paper: Lido, C., Reid, K and Osborne, M. (2018) PASCAL Briefing Paper 11 - Big Data, Lifelong Learning and Learning Cities: Promoting city-discourse on social inequalities in learning. (Available in English, Korean and Mandarin)
- Article: Lido, C., Osborne, M., Livingston, M., Thakuriah, P. and Sila-Nowicka, K. (2016) Older learning engagement in the modern city. International Journal of Lifelong Education, 35(5), pp. 490-508.
- Conference proceedings: Osborne, M. and Lido, C. (2016) Big Data Techniques to Improve Learning Access and Citizen Engagement for Adults in Urban Environments. In: International Conference of Taipei Learning City, Taipei, Taiwan, Nov 2016.
- Book section: Osborne, M. and Lido, C. (2015) Lifelong learning and big data. In: Gartenschlaeger, U. and Hirsch, E. (eds.) Adult Education in an Interconnected World: Cooperation in Lifelong Learning for Sustainable Development. Series: International Perspectives in Adult Education (71). DVV International: Bonn, pp. 116-125. ISBN 9783942755238.
