Statistical Science News

Professors Sofia Olhede and Patrick Wolfe to present work at Creative Reactions event in London

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spectral-analysis-tides

Professors Sofia Olhede and Patrick Wolfe will be presenting their work on the creative reactions project. This project brings together scientists with artists to collaborate. Patrick and Sofia will be talking about data analysis of tidal data, and the importance of the point-of-view of the observer. This is a collaboration with poet Francis Byrne, film-maker Susi Arnott and photographer Crispin Hughes.

Professor Rumana Omar and Dr Gareth Ambler awarded MRC methodology research grant

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Gareth Ambler and Rumana Omar (joint PIs) have been awarded a Medical Research Council methodology research grant to work on "Guidance on sample size when using observational data to develop and validate risk prediction models in health research".

Royal Society working group including Professor Sofia Olhede publishes machine learning report

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The Royal Society is today releasing its report on "Machine learning: the power and promise of computers that learn by example”. Professor Sofia Olhede has been part of the committee, which has explored policy issues associated with automated decision making using machine learning in society.

Workshop on The Regression Discontinuity Design: Methodological Issues and Applications in Economics, Statistics and Epidemiology

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Dr Gianluca Baio and the Research Group "Statistics for Health Economic Evaluation", in collaboration with Dr Marcos Vera Hernandez and CEMMAP have organised a one-day workshop on Methodological Issues and Applications in Economics, Statistics and Epidemiology with the Regression Discontinuity Design. This also serves as an end-of-project event for an MRC-funded research project (MR/K01438/1) aimed at exploring the application of the RDD to evaluating the effects of drugs and treatments in primary care.

Dr Ricardo Silva's work on algorithmic fairness mentioned in New Scientist article

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A recent manuscript by Dr Ricardo Silva, on ways of enforcing fairness in predictive modelling, has been given coverage by the New Scientist magazine this week. The manuscript, posted in arXiv earlier this month, prescribes a way of making explicit causal assumptions about how demographic background of an individual may lead to unfair, discriminative, treatment, such as in racially biased stop-and-frisk policing and loan approvals. The work makes the link of matters of fairness to mathematical formalisms of causality and counterfactuals, and suggests ways to test and communicate how automated decision making from data can be certified to respect fairness guidelines.

Dr Gianluca Baio awarded funds to conduct research on the health economic and societal impact of Pembrolizumab in the treatment of melanoma

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Dr Gianluca Baio has been awarded an unrestricted research grant sponsored by Merck Sharpe and Dohme to investigate the health economic performance and the societal impact of Pembrolizumab, a treatment for melanoma that has spread or can't be removed with surgery and non small cell lung cancer that has spread and the cancer cells have proteins called PD-L1. The research will investigate the potential expansion to other indications and the impact on public funding as well clinical benefits.

"Beyond Objectivity and Subjectivity in Statistics" read at the RSS on 12 April 2017

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The Journal of the Royal Statistical Society Series A has accepted the paper "Beyond Objectivity and Subjectivity in Statistics" by Andrew Gelman (Columbia University) and Christian Hennig (UCL Statistical Science) as Read Paper. It will be read and discussed at the Royal Statistical Society on 12 April. For more information and the paper see: http://www.rss.org.uk/RSS/Publications/Journals/Discussion_Papers/RSS/Publications/Journals_sub/discussion_papers.aspx?hkey=edfa4f9b-d001-49aa-bab9-e903b204e5d7#April17.

UCL Statistical Science and Centre for Data Science co-organize joint German/UK Big Data Meeting

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Professor Sofia Olhede, jointly with the UK Foreign and Commonwealth Office, and the Berlin Big Data Centre, organised a joint Germany/UK Big Data Meeting at the Smart Data Forum in Berlin on 1 March 2017. Professor Patrick Wolfe was also part of the delegation, and spoke of Big Network Data, and was further joined by UCL colleague Professor Harry Hemingway from the London Farr Institute, as well as colleagues from Imperial College London, and the Food Standards Agency. The Berlin Big Data Centre is part of a 30 million Euro investment by Germany’s Federal Ministry of Education and Research to support Industry 4.0, and the initiative established two centres for Big Data and IT security. 

Friends of Out@UCL Campaign: Statement from MAPS Faculty Dean

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The Friends of Out@UCL campaign was formally launched this week. Professor Ivan Parkin - Dean of the UCL Faculty of Mathematical and Physical Sciences gave the following pledge of support:

Professor Serge Guillas awarded interdisciplinary funding for tsunami risk research in India

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Professor Serge Guillas is leading a new project funded by the NERC/AHRC/ESRC call on Global Challenges Research Fund: Building Resilience. This intense programme of activities is entitled "Tsunami risk for the Western Indian Ocean: steps toward the integration of science into policy and practice" and is taking place over 2017.

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