The Royal Statistical Society (RSS) is one of the world's most distinguished and renowned statistical societies. It is a learned society for statistics, a professional body for statisticians and a charity which promotes statistics, data and evidence for the public good. It was founded in 1834 as the Statistical Society of London and became the Royal Statistical Society by Royal Charter in 1887. Today the Society has more than 10,000 members around the world, of whom many are professionally q ...
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Stephanie Hare on why we need a culture of technology ethics
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Stephanie Hare, author of 'Technology is Not Neutral', talks to Real World Data Science about the 'wicked problem' of technology and AI ethics, and why laws and regulations are 'necessary but insufficient' to minimise harms. 'We’re going to have to inculcate an entire new mindset', she argues.저자 Royal Statistical Society
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Biostatistician by design: from prisons to prions by Royal Statistical Society저자 Royal Statistical Society
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Statistical Developments in the Calculation of Value of Information
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Dr Anna Heath is a biostatistician at SickKids Hospital in Toronto within the Child Health Evaluative Sciences (CHES) program, an assistant professor at the University of Toronto in the Dalla Lana School of Public Health and an honorary research fellow at University College London in the Department of Statistical Science. We spoke with Anna about t…
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Dr Richard Saldanha is an expert in statistical machine learning and quantitative finance. He co-heads Oxquant, a management consulting business involved in AI/ML advisory work in finance and other knowledge-based industries.Richard has worked in quantitative finance for over 23 years and has held senior roles in both asset management and investmen…
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The Stats + Stories podcast comes to RSS Conference 2020. Join host John Bailer for 80 minutes of debate and discussion on “the statistics behind the stories and the stories behind the statistics”. Featuring guests Tim Harford, author and presenter of BBC Radio 4’s More or Less, who will explain his “rules for thinking differently about numbers”; a…
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Use of data and research at the World Health Organisation with Dr Maria Van Kerkhove
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Dr Maria Van Kerkhove is an epidemiologist at the World Health Organisation (WHO) and technical lead for the Covid-19 pandemic. We spoke with Maria about how the WHO is able to best use vast amounts of data and research findings to inform guidance and some of the challenges and opportunities for the future.…
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Real-time epidemiology, statistics and modelling with Professor Christl Donnelly
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Professor Christl Donnelly, of Oxford University and Imperial College London, gave the 29th Bradford Hill Memorial Lecture on 30th June 2020 in London. We caught up with Christl to talk about her vast practical experience of applying methods in the context of infectious diseases, including SARS, MERS, Ebola and Covid-19. We discussed the real-time …
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Discussion on exam grading algorithms at RSS Conference
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RSS Chief Executive Stian Westlake chaired a short panel discussion on what is commonly termed the ‘A level exams fiasco’. When physical exams taking place in 2020 were cancelled in the UK because of the Covid-19 pandemic, an algorithm was developed to set students’ exam grades. However, this algorithm had to be abandoned after significant inconsis…
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저자 Royal Statistical Society
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An Analysis Of Patient Outcomes From Listing For A Lung Transplant
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저자 Royal Statistical Society
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저자 Royal Statistical Society
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저자 Royal Statistical Society
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The Social Metrics Commission's New Measure Of Poverty For The UK
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저자 Royal Statistical Society
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저자 Royal Statistical Society
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Statistics To Ensure Improved Welfare For Ethnic Minorities
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저자 Royal Statistical Society
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저자 Royal Statistical Society
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저자 Royal Statistical Society
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저자 Royal Statistical Society
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Minimising Food Waste By Adapting Growing Programmes To The Weather
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저자 Royal Statistical Society
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저자 Royal Statistical Society
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저자 Royal Statistical Society
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Assessing Spaed Rankings With Application To Predicting The Premier League
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저자 Royal Statistical Society
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저자 Royal Statistical Society
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저자 Royal Statistical Society
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저자 Royal Statistical Society
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