Cardiff School of Computer Science & Informatic
- Computer Science & Informatics,
5 The Parade, Roath,
Cardiff CF24 3AA, UK
- 029 20876249
Dr. Pete Burnap is a Lecturer in the School of Computer Science & Informatics. His experience is in supporting decision making: Building systems to support intelligence gathering, risk assessment, and decision making - "extracting knowledge from data"; Big Data and Text Mining: Collation, storage and analysis of text information and massive datasets ("Big Data") using natural language processing, pattern matching and machine learning techniquesIn relation to SOLCER, my interests are in the projection of energy usage and consumption; and modelling risk for emerging energy provisioning and ‘smart’ metering.
Role in SOLCER
Pete's role in the SOLCER project involves data analytics using alternative energy production and consumption data, with a view to predicting energy production shortfall and instability. The outcomes of this will feed a probabilistic risk model for a range of alternative energy systems. Moreover, he is also investigating the possibility of mining streamed social media to inform the risk models when disruptive events occur (e.g. unforeseen logistic, weather, telecommunication and health events).
Burnap, P., Rana, O., Avis, N., Williams, M., Housley, W., Edwards, A., Morgan, J and Sloan, L. (2013) ‘Detecting Tension in Online Communities with Computational Twitter Analysis’, Technological Forecasting and Social Change (in press)
Burnap, P., Rana, O., Avis, N.(2013), ‘Making Sense of Self Reported Socially Significant Data Using Computational Methods’, International Journal of Social Research Methodology, Computational Social Science: Research Strategies, Design and Methods. Volume 16:2
Conejero, J., Burnap, P., Rana, O and Morgan, J. (2013) 'Scaling Archived Social Media Data Analysis using a Hadoop Cloud'. Proceedings of the 2013 IEEE International Conference on Cloud Computing (CLOUD), San Francisco USA