Professional summary
Carolynne Lord is an interdisciplinary social scientist. Her research interests focus on the use and provision of technologies and infrastructures in different contexts, including domestic uses of IT, gig-economy work, rural broadband development, and the use of digital infrastructures in research. She is especially interested in how technology and digital infrastructures can be made more socially and environmentally sustainable. Her work blends together qualitative methods with different theoretical and conceptual approaches (e.g., systems thinking, and theories of practice). Carolynne is a part of the Environmental Data Science group at UKCEH, working with the Design team to develop stakeholder engagement methods that help to envision the future of digital infrastructures for environmental science.
With a background in both Sociology and Computer Science, her existing work has been published in different communities including Human Computer Interaction (HCI) and Sociology. Given the variety of audiences that she has engaged with, she is also interested in developing different ways of communicating and engaging with diverse stakeholders - including non-expert communities. This has involved different methods such as videos, photo essays, and the use of metaphors for storytelling.
Lord, C., Ellsworth-Krebs, K., & Holmes, T. (2023). ‘Telling tales’: Communicating UK energy research through fairy tale characters. Energy Research & Social Science, 101, 103100.
Lord, C., Bates, O., Friday, A., McLeod, F., Cherrett, T., Martinez-Sykora, A., & Oakey, A. (2023). The sustainability of the gig economy food delivery system (Deliveroo, UberEATS and Just-Eat): Histories and futures of rebound, lock-in and path dependency. International Journal of Sustainable Transportation, 17(5), 490-502.
Bird, C. M., Preist, C. W., Adrian, F., Lord, C., Jackson, A., Widdicks, K., [...] & Kayumbi, G. (2023). Learning from the Big Picture: Applying Responsible Innovation to the Net Zero Research Infrastructure Transformation (ARINZRIT).
Lord, C., Bates, O., & Friday, A. (2022). Critical Incident Technique and Gig-Economy Work (Deliveroo): Working with and Challenging Assumptions around Algorithms. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (pp. 1-6).
Holmes, T., Lord, C., & Ellsworth-Krebs, K. (2022). Locking-down instituted practices: Understanding sustainability in the context of ‘domestic’ consumption in the remaking. Journal of Consumer Culture, 22(4), 1049-1067.
Friday, A., Hazas, M., Bates, O., Morley, J., Lord, C., Widdicks, K., [...] & Clear, A. (2022). Unpacking the resource impacts of digitally-mediated domestic practices using resource trace interviewing. Digital Creativity, 33(3), 250-275.