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Promoting equality, diversity and inclusion in research and funding: reflections from a digital manufacturing research network (2024)
Journal Article
Fisher, O. J., Fearnshaw, D., Watson, N. J., Green, P., Charnley, F., McFarlane, D., & Sharples, S. (2024). Promoting equality, diversity and inclusion in research and funding: reflections from a digital manufacturing research network. Research Integrity and Peer Review, 9(1), Article 5. https://doi.org/10.1186/s41073-024-00144-w

Background: Equal, diverse, and inclusive teams lead to higher productivity, creativity, and greater problem-solving ability resulting in more impactful research. However, there is a gap between equality, diversity, and inclusion (EDI) research and p... Read More about Promoting equality, diversity and inclusion in research and funding: reflections from a digital manufacturing research network.

Data-driven modelling for resource recovery: Data volume, variability, and visualisation for an industrial bioprocess (2022)
Journal Article
Fisher, O., Watson, N. J., Porcu, L., Bacon, D., Rigley, M., & Gomes, R. L. (2022). Data-driven modelling for resource recovery: Data volume, variability, and visualisation for an industrial bioprocess. Biochemical Engineering Journal, 185, Article 108499. https://doi.org/10.1016/j.bej.2022.108499

Advances in industrial digital technologies have led to an increasing volume of data generated from industrial bioprocesses, which can be utilised within data-driven models (DDM). However, data volume and variability complications make developing mod... Read More about Data-driven modelling for resource recovery: Data volume, variability, and visualisation for an industrial bioprocess.