All Outputs (10)

Small and medium enterprises will use generative AI. But how can they be helped to implement it properly? (2024)
Report
Ochang, P., Eke, D., Stahl, B., Buckley, . M., Poder, I., & Hughes, J. (2024). Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?. ESPRC and RAI UK

Generative AI is changing the way our economies and businesses operate, and SMEs could be receiving more benefits from this transition. Over the past 12 months in the Responsible Generative AI for SMEs in UK and Africa (RAISE) project we have been wo... Read More about Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?.

Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report (2024)
Report
Ochang, P., Stahl, B., Eke, D., & Cameron, H. Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report. ESPRC and RAI UK

On the 1st of July 2024, the Responsible Generative AI for SMEs in the UK and Africa (RAISE) project hosted its inaugural workshop, bringing together small and medium-sized enterprises (SMEs) from the United Kingdom and Africa. The workshop focused o... Read More about Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report.

It's All Connected: Board Game Impact Report (2024)
Report
Lewandowska, K., & Sailaja, N. It's All Connected: Board Game Impact Report. Fixing the Future Project

Responsible Generative AI for SMEs in the UK and Africa: RAISE guidelines (2024)
Report
Ochang, P., Stahl, B., Eke, D., Buckley, M., Poder, I., Hughes, J., Rodrigues, R., & Barnard-Wills, D. (2024). Responsible Generative AI for SMEs in the UK and Africa: RAISE guidelines. Responsible AI UK

Small to Medium Enterprises (SMEs), including technology start-ups, are driving the development of Generative Artificial Intelligence products and services, whilst some non-technology SMEs are enthusiastically adopting these tools. However, SMEs do n... Read More about Responsible Generative AI for SMEs in the UK and Africa: RAISE guidelines.

Communicating health threats: Linguistic evidence for effective public health messaging during the Covid-19 pandemic (2023)
Report
Adolphs, S., McAuley, D., Vilar-Lluch, S., Knight, D., McClaughlin, E., Nichele, E., Clos, J., Barnard, P., Parnell, T., & Lang, A. (2023). Communicating health threats: Linguistic evidence for effective public health messaging during the Covid-19 pandemic. Nottingham: University of Nottingham

2Zero project D5.1 Modelling And Simulation Report (2022)
Report
Atkin, J., Karapetyan, D., De Maere, G., He, Y., Jackson, W., El Krari, M., & Siggs, T. 2Zero project D5.1 Modelling And Simulation Report. Innovate UK

This report summarises the work in the Modelling and Simulation Work Package, WP 2, of the 2Zero project (funded by Innovate UK, grant agreement number 74829) under UKRI’s Future Flight Challenge Fund. It discusses the simulation that was built, how... Read More about 2Zero project D5.1 Modelling And Simulation Report.

DigiSpec: Scoping Future Born-Digital Data Services for the Arts and Humanities: Case Reports (2022)
Report
De Roure, D., Moore, J., Page, K., Burrows, T., Beavan, D., Hobson, T., Bergel, G., Dutta, A., Zisserman, A., Bhaugeerutty, A., Blickhan, S., Chamberlain, A., Ciula, A., Cooke, I., Wisdom, S., Hawley, G., Crawford, T., Badkobeh, G., Lewis, D., Porter, A., …Salter, J. (2022). DigiSpec: Scoping Future Born-Digital Data Services for the Arts and Humanities: Case Reports. Arts and Humanities Research Council

The DigiSpec Project was funded by the UK Arts and Humanities Research Council in 2022 under its “Scoping Future Data Services for the Arts and Humanities” programme.

As part of the evidence base for its report, the project collected twenty short... Read More about DigiSpec: Scoping Future Born-Digital Data Services for the Arts and Humanities: Case Reports.

Landscape Summary: Bias In Algorithmic Decision-Making: what is bias in algorithmic decision-making, how can we identify it, and how can we mitigate it? (2019)
Report
Rovatsos, M., Mittelstadt, B., & Koene, A. (2019). Landscape Summary: Bias In Algorithmic Decision-Making: what is bias in algorithmic decision-making, how can we identify it, and how can we mitigate it?. Centre for Data Ethics and Innovation

Developing immersive experience at Caistor Roman Town: Final report on AHRC Next Generation of Immersive Experiences Project (2018)
Report
Bowden, W., Brundell, P., Harlow, N., Martin-Jones, A., & Mullen, A. (2018). Developing immersive experience at Caistor Roman Town: Final report on AHRC Next Generation of Immersive Experiences Project (2018). Nottingham: Arts and Humanities Research Council

This case study documents the approach taken to developing and evaluating a mobile app for the Roman town at Venta Icenorum and includes a qualitative summary of the AR technique and evaluation of its effectiveness, for use by other researchers under... Read More about Developing immersive experience at Caistor Roman Town: Final report on AHRC Next Generation of Immersive Experiences Project (2018).

Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online
Report
McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., McAuley, D., Aydt, M., Tom, T., & Lang, A. (2022). Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online. University of Nottingham: AHRC/UKRI

The Coronavirus Discourses project supports public health partners Public Health Wales, Public Health England, and NHS Education for Scotland in addressing key challenges that the coronavirus pandemic presents in terms of understanding the flow and i... Read More about Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online.