樱花动漫

Institute for Data Science and Artificial Intelligence

Publications

Below are a sample of what the IDSAI Community have been working on. We hope you enjoy reading about the interdisciplinary nature of the work going on at the Institute:-

Publication/Activity Link Academic Faculty
Silvia Milano and Sabina Leonelli were co-authors on 'Large language models challenge the future of higher education' 

and Faculty of Humanities, Arts and Social Sciences
Turing Research Fellow, Federico Botta was a contributor (out of many others) to a note published by POST (the Parliamentary Office of Science and Technology) on the topic of data skills in the UK workforce

https://post.parliament.uk/research-briefings/post-pn-0697/

 Faculty of Environment, Science and Economy
Former IDSAI member, Alex Schoenfelder was co-author on 'The Analytical and Clinical Validity of the pfSTEP Digital Biomarker of the Susceptibility/Risk of Declining Physical Function in the Community-Dwelling Older Adults'       
Beduschi A (2022). Harnessing the potential of artificial intelligence for humanitarian action: Opportunities and risks. International Review of the Red Cross, 104 (919), 1149-1169 Faculty of Humanities, Arts and Social Sciences

Beduschi A, McAuliffe M (2022). Artificial Intelligence, Migration and Mobility: Implications for Policy and Practice. World Migration Report, 2022 (1)

This is a chapter on the International Organisation for Migration (IOM)’s flagship publication World Migration Report. The World Migration Report is a biannual publication that responds to a clear and growing need for evidence-based research and analysis on migration at a time of increasing complexity of migration and its prominence as a public policy issue and newsworthy topic. The World Migration Report has broad appeal and garners keen interest globally, including from States, international organisations, non-governmental organisations, and civil society.

 Faculty of Humanities, Arts and Social Sciences

IDSAI Case Study:

As part of IDSAI's initiative for project collaboration with a data science student, Nitzan and Professor Anna Mountford-Zimdars got in touch.

This resulted in a collaborative research project on accessibility to fertility treatment in England with Bobbie Jones, who studied for an MSc in Data Science. As part of this project, we collected public and administrative data to create mapping of fertility clinics in England and developed a new index for measuring geographic accessibility to fertility treatment, which can also be applied to other types of services.  
 
An article based on this project has been accepted for publication by the Human Fertility journal:

Jones B, Peri-Rotem N, Mountford-Zimdars A (In Press). Geographic opportunities for assisted reproduction: a study of regional variations in access to fertility treatment in England. Human Fertility

 ‌ Faculty of Humanities, Arts and Social Sciences
Measuring exposure to misinformation from political elites on Twitter Faculty of Environment, Science and Economy
The development of the webapp and API service based on work for measuring exposure on Twitter Faculty of Environment, Science and Economy
Human-centred mechanism design with Democratic AI nature human behaviour Faculty of Environment, Science and Economy
Measuring inequality beyond the Gini coefficient may clarify conflicting findings Faculty of Environment, Science and Economy
       

 If you'd like to share your work, then please contact IDSAI.