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Outputs (154)

From science communication to action – engaging with society’s change makers (2021)
Presentation / Conference Contribution
Fogg Rogers, L. (2021, May). From science communication to action – engaging with society’s change makers. Presented at Public Communication of Science and Technology, Aberdeen - Online

The effects of climate change are now being felt around the world, and yet cohesive and collaborative policymaking to mitigate impacts are moving too slowly. Indeed the latest scientific report from the Intergovernmental Panel on Climate Change has w... Read More about From science communication to action – engaging with society’s change makers.

Negative updating applied to the best-of-n problem with noisy qualities (2021)
Journal Article
Lee, C., Lawry, J., & Winfield, A. F. (2021). Negative updating applied to the best-of-n problem with noisy qualities. Swarm Intelligence, 15, 111-143. https://doi.org/10.1007/s11721-021-00188-4

The ability to perform well in the presence of noise is an important consideration when evaluating the effectiveness of a collective decision-making framework. Any system deployed for real-world applications will have to perform well in complex and u... Read More about Negative updating applied to the best-of-n problem with noisy qualities.

The butterfly effect: Facilitating and enabling citizen self-organising for systemic change (2021)
Presentation / Conference Contribution
Laggan, S. (2021, May). The butterfly effect: Facilitating and enabling citizen self-organising for systemic change. Presented at Public Communication of Science and Technology conference 2020+1, Online

In this presentation for the Public Communication of Science and Technology conference, Sophie draws on three case studies from her own research that exemplify the changing nature of public engagement on climate change and air pollution. She explain... Read More about The butterfly effect: Facilitating and enabling citizen self-organising for systemic change.

“They were aware of who I was as a person”: Patients’ and health professionals’ experiences of using the PEGASUS intervention to facilitate decision-making around breast reconstruction (2021)
Journal Article
Tollow, P., Paraskeva, N., Clarke, A., White, P., Powell, J., Cox, D., & Harcourt, D. (in press). “They were aware of who I was as a person”: Patients’ and health professionals’ experiences of using the PEGASUS intervention to facilitate decision-making around breast reconstruction. European Journal of Cancer Care, Article e13464. https://doi.org/10.1111/ecc.13464

Objective: Many women choose to have breast reconstruction after mastectomy, however, decision-making can be difficult and expectations are often unmet. The PEGASUS intervention (Patient Expectations and Goals: Assisting Shared Understanding of Surge... Read More about “They were aware of who I was as a person”: Patients’ and health professionals’ experiences of using the PEGASUS intervention to facilitate decision-making around breast reconstruction.

Catch 22 - improving visibility of women in science and engineering for both recruitment and retention (2021)
Presentation / Conference Contribution
Fogg Rogers, L., & Hobbs, L. (2021, May). Catch 22 - improving visibility of women in science and engineering for both recruitment and retention. Presented at PCST 2020+1, Online

There is a significant under-representation of women in STEM which is damaging societal progress for democratic, utilitarian, and equity reasons. However, changing stereotypes in STEM requires a solution denied by the problem – more visible female ro... Read More about Catch 22 - improving visibility of women in science and engineering for both recruitment and retention.

Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model (2021)
Book Chapter
Olisah, C. C., Ilori, O. O., Adelaja, K., Usip, P. U., Uzoechi, L. O., Adeyanju, I. A., & Odumuyiwa, V. T. (2021). Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model. In Data Science for COVID-19 (583-596). Elsevier. https://doi.org/10.1016/b978-0-12-824536-1.00002-2

COVID-19: the new wave of a global pandemic, is bringing about an increasing number of scientific efforts aimed at enabling governments to make informed decisions. In this paper, we explore the negative binomial regression model from the family of ge... Read More about Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model.

Low-frequency oscillation damping control for large-scale power system with simplified virtual synchronous machine (2021)
Journal Article
Sebaa, K., Zhou, Y., Li, Y., Gelen, A., & Nouri, H. (2021). Low-frequency oscillation damping control for large-scale power system with simplified virtual synchronous machine. Journal of Modern Power Systems and Clean Energy, 9(6), 1424-1435. https://doi.org/10.35833/MPCE.2020.000340

This study focuses on a virtual synchronous machine (VSM) based on voltage source converters to mimic the behavior of synchronous machines (SMs) and improve the damping ratio of the power system. The VSM model is simplified according to some assumpti... Read More about Low-frequency oscillation damping control for large-scale power system with simplified virtual synchronous machine.

The quiet revolution in machine vision - A state-of-the-art survey paper, including historical review, perspectives, and future directions (2021)
Journal Article
Smith, M. L., Smith, L. N., & Hansen, M. F. (2021). The quiet revolution in machine vision - A state-of-the-art survey paper, including historical review, perspectives, and future directions. Computers in Industry, 130, Article 103472. https://doi.org/10.1016/j.compind.2021.103472

Over the past few years, what might not unreasonably be described as a true revolution has taken place in the field of machine vision, radically altering the way many things had previously been done and offering new and exciting opportunities for tho... Read More about The quiet revolution in machine vision - A state-of-the-art survey paper, including historical review, perspectives, and future directions.

Standards and regulations for physically assistive robots**Research supported by Lloyds Register Foundation, under the Assuring Antonomy International Programme (2021)
Presentation / Conference Contribution
Caleb-Solly, P., Harper, C., & Dogramadzi, S. (2021). Standards and regulations for physically assistive robots**Research supported by Lloyds Register Foundation, under the Assuring Antonomy International Programme. In 2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR) (259-263). https://doi.org/10.1109/isr50024.2021.9419508

In this paper we consider the regulations that currently exist in relation to supporting people in the home and in different care settings. Using existing standards and guidelines that relate to assistive technology and care in the UK, we consider wh... Read More about Standards and regulations for physically assistive robots**Research supported by Lloyds Register Foundation, under the Assuring Antonomy International Programme.