8 Works

AI3SD video: AI4SD & IoFT AI for ethics working group: introducing the working group & our methodologies: moral IT cards & design fiction.

Samantha Kanza, Naomi Jacobs & Peter Craigon
Our Ethics for AI Working group was born out of a meeting held by the Internet of Food Things Network just before the pandemic to consider research challenges for developing a data trust system for the food sector. Our group came together through a shared interest in Ethics, and formed a working group to consider the ethical dimensions of digital collaboration in the food sector, such as the unintended consequence of AI. We have run...

Additional file 1 of Müller cell degeneration and microglial dysfunction in the Alzheimer’s retina

Qinyuan Alis Xu, Pierre Boerkoel, Veronica Hirsch-Reinshagen, Ian R. Mackenzie, Ging-Yuek Robin Hsiung, Geoffrey Charm, Elliott F. To, Alice Q. Liu, Katerina Schwab, Kailun Jiang, Marinko Sarunic, Mirza Faisal Beg, Wellington Pham, Jing Cui, Eleanor To, Sieun Lee & Joanne A. Matsubara
Additional file 1. Supplementary Figures. Figure S1 shows Aβ labelling in z-stack image volumes of AD and control retinal punches, scanning through the layers from RNFL to INL; Figure S2 shows additional examples of GS and GFAP double-labelling at higher power; Figure S3 shows quantitative methods used to analyse macroglia; Figure S4 illustrates double labelling.

AI3SD Video: Making sense of highly flexible molecular simulations: Where AI can help and where not

Christof Jäger
With simulating the dynamic behaviour of ever bigger molecular systems for longer simulation time we simultaneously achieve more realistic timescales and gain much better insights into the physiological relevant time dependent behaviour of molecular systems, but also generate significantly more data and thus pose new challenges for filtering noise and analysing the simulation data. In simulation analysis and data dimensionality reduction we often rely on linear dependencies and behaviour within the simulated timespan. This generally...

Humans of AI3SD: Dr Nicholas Watson

Michelle Pauli & nicholas watson
Dr Nicholas Watson is an associate professor of chemical engineering at the University of Nottingham and his research is focused on data-driven in-process sensing to deliver sustainable, safe and productive food manufacturing systems.

In this Humans of AI3SD interview he discusses the benefits of low-cost sensors for SMEs, why the real world is a lot more complicated than the controlled world of the lab, and the surprising value in getting your problems tackled by people who've...

Additional file 1 of Müller cell degeneration and microglial dysfunction in the Alzheimer’s retina

Qinyuan Alis Xu, Pierre Boerkoel, Veronica Hirsch-Reinshagen, Ian R. Mackenzie, Ging-Yuek Robin Hsiung, Geoffrey Charm, Elliott F. To, Alice Q. Liu, Katerina Schwab, Kailun Jiang, Marinko Sarunic, Mirza Faisal Beg, Wellington Pham, Jing Cui, Eleanor To, Sieun Lee & Joanne A. Matsubara
Additional file 1. Supplementary Figures. Figure S1 shows Aβ labelling in z-stack image volumes of AD and control retinal punches, scanning through the layers from RNFL to INL; Figure S2 shows additional examples of GS and GFAP double-labelling at higher power; Figure S3 shows quantitative methods used to analyse macroglia; Figure S4 illustrates double labelling.

AI3SD Video: Skills4Scientists - Poster & Careers Symposium - Poster Compilation

András Vekassy, Aspen Fenzl, Erhan Gulsen, Hewan Zewdu, Jamie Longio, Maximilian Hoffman, Rhyan Barrett, Rubaiyat Khondaker, Anna Catton, Hongyang Dong, Kevin Calvache, Kaylee Patel, King Wong, Louis Greenhalgh, Rebecca Jane Clements, Thomas Allam, Sarah Scripps, Gavin Man, Samuel Munday, Michael Blakey, Graeme M. Day, Chris-Kriton Skylaris, Simon J. Coles, Stephen Gow & William Brocklesby
This video forms part of the Skills4Scientists Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS). This series ran over summer 2021 and aims to educate and improve scientists skills in a range of areas including research data management, python, version control, ethics, and career development. This series is primarily aimed at final year undergraduates / early stage PhD...

AI4SD Video: Introduction to equality, diversity and inclusion and development of your code of conduct

Debra Fearnshaw
This session will explore what equality, diversity and inclusion means, what EDI can look like in research and why this is important. The session will also have an interactive element to help you create a code of conduct for your event.

AI3SD Video: Equality, Diversity & Inclusion in Networks: Developing your inclusive approach

Debra Fearnshaw & Jeremy G. Frey
This session will give delegates a framework in which to consider how they can develop an inclusive approach to their work, team and research. This talk will provide some examples of how to do this and inspire delegates to develop their own approaches.

Registration Year

  • 2022
    6
  • 2021
    2

Resource Types

  • Audiovisual
    8

Affiliations

  • University of Nottingham
    8
  • University of Southampton
    6
  • Beijing Tongren Hospital
    2
  • Simon Fraser University
    2
  • Vanderbilt University
    2
  • University of Toronto
    2
  • University of British Columbia
    2
  • Zhengzhou University
    2
  • Center for Cancer Research
    2
  • University of Strathclyde
    1