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Warwick-led study shows how AI can analyse X-rays and diagnose medical issues

A study led by Professor Giovanni Montana from the Department of Statistics and WMG has developed an AI tool to analyse X-rays and diagnose medical issues.

Tue 16 Jan 2024, 09:39 | Tags: Dept, Science, Faculty of Science, Impact and/or Engagement

Research by Michelle Kendall and Xavier Didelot estimates the benefits of the NHS COVID-19 app.

Research by Michelle Kendall and Xavier Didelot estimates that the NHS COVID-19 app prevented around one million cases, 44000 hospitalisations and 9600 deaths.

Tue 11 Apr 2023, 16:00 | Tags: Science, Research Paper

Shift workers ‘can’t all adjust to a night shift’: new research by Yiyuan Zhang, Julia Brettschneider & Barbel Finkenstädt

Scientists at the University of Warwick, jointly with those at Université Paris-Saclay, Inserm and Assistance Publique-Hôpitaux de Paris (France), have challenged the widespread belief that shift workers adjust to the night shift, using data drawn from wearable tech............

Tue 26 Jul 2022, 14:59 | Tags: Dept, Science

Martine Barons, AS&RU Director, with colleagues from the AU4DM network have produced a toolkit for communicating climate risk which is set be presented at COP26

Martine Barons, Director of the Applied Statistics & Risk Unit, together with
colleagues from the AU4DM network have produced a toolkit for communicating
climate risk which is set be presented at COP26 in the UN-managed space (Blue
Zone) which hosts the negotiations.
Martine worked with colleagues from the Analysis under Uncertainty for
Decision Makers (AU4DM) to win one of just seven mini-fellowships in Climate
Risk from the COP26 Universities Network. The team, consisting of Martine
Barons, Polina Levontin & Mark Workman (Imperial) and Jo Walton (Sussex),
put together an interactive climate risk communication workshop in
collaboration with another fellow, Freya Roberts (UCL). The workshop was held
on Friday 01 October as the final day of the COP26 Universities Network Climate
Risk Summit. The workshop was opened by Liz Bentley of the Royal
Meteorological Society and covered the myriad consideration that need to be
made when communicating between different domains of expertise, especially
when there are uncertainties, some of them deep. Freya and her team made a
digital ‘goodybag’ of science writing tips available at the close of the meeting.
In addition, and with case studies contributed from some more of the Climate
Risk fellows, the AU4DM team collaborated with designer Jana Kleineberg to
produce their Communicating Climate Risk Toolkit. The Communicating Climate
Risk Toolkit seeks to narrow the gap between climate science and climate action,
by providing insights, recommendations, and practical tools to support the
dialogue between scientists, decision-makers, and many diverse communities
that is required for effective action. The AU4DM team drew on expertise in
statistics, foresight, digital humanities and mathematical sciences as well as
broad experience in interfacing with decision-makers from business,
government and industry. This joins two previous publications by the AU4DM
team: Decision Support Tools for Complex Decisions under Uncertainty (2019)
and Visualising Uncertainty: An Introduction (2020) ; the latter has reached over
2000 reads on ResearchGate and many more elsewhere.
The 76-page first edition of the Communicating Climate Risk Toolkit is set to be
presented in the Blue Zone at COP26 Science Pavilion on Friday 05 November
16.30-17.30. The Blue Zone is the UN-managed space which hosts the
negotiations. The space brings together delegations from 197 Parties, alongside
observer organisations to share their stories at panel discussions, side events,
exhibits, and cultural events. All attendees within the Blue Zone must be
accredited by the UNFCCC. After gaining feedback form decision makers and
other attendees, the second edition is planned for early 2022.

Thu 04 Nov 2021, 11:04 | Tags: Dept, Science, Faculty of Science, ASRU

Congratulations to our postdoctoral and postgraduate prizewinners

The winner of this year’s Faculty postdoctoral prize is Jure Vogrinc for "Counterexamples for optimal scaling of Metropolis-Hastings chains with rough target densities". The winner of this year’s Faculty Thesis Prize and John Copas Prize is David Selby (citation: for an extremely innovative and creative thesis on "Statistical modelling of citation networks, research influence and journal prestige". This is a very well-presented piece of work that stands out for its wealth of innovative ideas and the new insights it provides in this developing field.) Joint winners of this year’s Harrison Award are Lewis Rendell and Giorgos Vasdekis, both commended for their substantial theoretical and methodological contributions to computational statistics.

Wed 06 Oct 2021, 14:16 | Tags: Dept, Science, Faculty of Science

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