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All Outputs (5)

Demystifying the black box: the importance of interpretability of predictive models in neurocritical care. (2022)
Journal Article
MOSS, L., CORSAR, D., SHAW, M., PIPER, I. and HAWTHORNE, C. 2022. Demystifying the black box: the importance of interpretability of predictive models in neurocritical care. Neurocritical care [online], 37(Supplement 2): big data in neurocritical care, pages 185-191. Available from: https://doi.org/10.1007/s12028-022-01504-4

Neurocritical care patients are a complex patient population, and to aid clinical decision-making, many models and scoring systems have previously been developed. More recently, techniques from the field of machine learning have been applied to neuro... Read More about Demystifying the black box: the importance of interpretability of predictive models in neurocritical care..

Made-up rubbish: design fiction as a tool for participatory Internet of Things research. (2020)
Journal Article
JACOBS, N., MARKOVIC, M., COTTRILL, C.D., EDWARDS, P., CORSAR, D. and SALT, K. 2020. Made-up rubbish, design fiction as a tool for participatory Internet of Things research. Design journal [online], 23(3), pages 419-440. Available from: https://doi.org/10.1080/14606925.2020.1744259

As Internet of Things (IoT) technologies become embedded in public infrastructure, it is important that we consider how they may introduce new challenges in areas such as privacy and governance. Public technology implementations can be more democrati... Read More about Made-up rubbish: design fiction as a tool for participatory Internet of Things research..

Understanding factors influencing public transport passengers' pre-travel information-seeking behaviour. (2019)
Journal Article
YEBOAH, G., COTTRILL, C.D., NELSON, J.D., CORSAR, D., MARKOVIC, M. and EDWARDS, P. 2019. Understanding factors influencing public transport passengers’ pre-travel information-seeking behaviour. Public transport [online], 11(1), pages 135-158. Available from: https://doi.org/10.1007/s12469-019-00198-w

This paper investigates factors influencing public transport passengers’ pre-travel information-seeking behaviours in a British urban environment. Public transport traveller surveys were conducted to better understand the journey stages at which info... Read More about Understanding factors influencing public transport passengers' pre-travel information-seeking behaviour..

Challenges of open data quality: more than just license, format, and customer support. (2017)
Journal Article
CORSAR, D. and EDWARDS, P. 2017. Challenges of open data quality: more than just license, format, an customer support. Journal of data and information quality [online], 9(1), pages 1-4. Available from: https://doi.org/10.1145/3139489

Public sector organisations worldwide are implementing Open Data initiatives, which, it is hoped, will stimulate economic growth, increase transparency and accountability, and improve engagement between data consumers (typically citizens) and data ho... Read More about Challenges of open data quality: more than just license, format, and customer support..

Linking open data and the crowd for real-time passenger information. (2017)
Journal Article
CORSAR, D., EDWARDS, P., NELSON, J., BAILLIE, C., PAPANGELIS, K. and VELAGA, N. 2017. Linking open data and the crowd for real-time passenger information. Journal of web semantics [online], 43, pages 18-24. Available from: https://doi.org/10.1016/j.websem.2017.02.002

The availability of real-time passenger information (RTPI) is a key factor in making public transport both accessible and attractive to users. Unfortunately, rural areas often lack the infrastructure necessary to provide such information, and the cos... Read More about Linking open data and the crowd for real-time passenger information..