Publications
- Bates, O, Remy, C., Tyler, A., Smith, M., and Friday, A., 2025. Playful Explorations: Non-domestic energy research through games design, ICT4S 2025 Posters and Demos
- Remy, C., Bates, O., and Friday, A., 2025 ContextViz: Making Context and Systems Knowledge Visible in Non-Domestic Energy Demand Dashboards. ICT4S 2025 Posters and Demos
- Bremer, C., Knowles, B. and Friday, A., 2025. Of Ironies and Agency: Energy Professionals’ Views on Digital Interventions and Their Users. CHI Conference on Human Factors in Computing Systems.
- Granados-Garcia, G., Eckley, I., Electricity Demand of Buildings Benchmarked via Regression Trees on Nearest Neighbors Anomaly Scores, 2024 (In progress)
- Tyler, A., Bates, O., Friday, Adrian, and Remy, C. 2024, June. Mind the gap! The role of ICT in office heating & comfort. ICT4S.
- Bremer, C., Remy, C., and Friday, A. 2024, June. Fake Dashboards Result in Fake Insights: The Challenges of Prototyping Energy Dashboards. Computing Within Limits.
- Bates, O., Remy, C., Cutting, K., Tyler, A., and Friday, A. 2024, June. Exploring post-neoliberal futures for managing commercial heating and cooling through speculative praxis. Computing Within Limits.
- Remy, C., Tyler, A., Smith, P., Bates, O., and Friday, A., 2024, April. Wasted Energy? Illuminating Energy Data with Ontologies. In IEEE Pervasive Computing.
- Cho, H., Maeng, H., Eckley, I.A. and Fearnhead, P., 2023. High-dimensional time series segmentation via factor-adjusted vector autoregressive modeling. Journal of the American Statistical Association
- Bremer, C., Bates, O., Remy, C., Gormally-Sutton, A., Knowles, B. and Friday, A., 2023, April. COVID-19 as an Energy Intervention: Lockdown Insights for HCI. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-7).
- Remy, C. and Gröschel, C., 2023, June. The Role of Technology Towards Net Zero Futures. At re:publica Berlin 2023, the festival for the digital society.
- Mosley, L., Chan, T.-S. and Gibberd, A., 2023, March. The Sparse Dynamic Factor Model: A Regularised Quasi-Maximum Likelihood Approach. arXiv:2303.11892
- Chan, T.-S. and Gibberd, A., 2022, December. Identifying Metering Hierarchies with Distance Correlation and Dominance Constraints. In Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022 (pp. 1551-1558).
Talks and Workshops
- Rituals for building futures: games as speculative praxis, Kieran Cutting, Oliver Bates
Multiplatform 2025: Rituals of Play-Shaping Alternative Futures with Games and Occulture - Conversations with Complexity: Making a Meal out of a Mountain Oliver Bates and Ben Kirman, 20 May 2025, BDiGRA 2025
- Rebound Archetype Cards workshop, Laetitia Bornes, Marcia Tavares Smith and Oliver Bates, 14 May 2025, Towards sustainable digital futures, a two-day symposium
- “Transforming commercial energy demand through data science” Adrian Friday, Christian Remy, Christina Bremer and Oliver Bates. Energy Systems Catapult – Value in energy data webinar series on February 5th 2025.
- Rebound GHG Effects in AgriTech. Matthew Broadbent and Oliver Bates. 1st International Workshop on Low Carbon Computing, 2024
https://www.sicsa.ac.uk/wp-content/uploads/2024/11/LOCO2024_paper_6.pdf - Messy Energy Data. Sense-making via change-point and anomaly detection – Paul Smith & Idris Eckley, ENBIS-24, September 2024 https://conferences.enbis.org/event/34/contributions/733/