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Alumni Event: Meeting Minds Global 12-17 April 2021

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Alumni Event: Meeting Minds Global 12-17 April 2021 ALUMNI E-NEWSLETTER CONTENT: FEBRUARY 2021 We trust you and your families have kept well over this unprecedented year for us all. Following Government advice, our St Giles’ Building was closed from 24th March 2020 and duly remained closed until late August. Staff and students had to quickly adapt to remote working during this period and remarkably Department life was able to continue, albeit remotely. A small number of staff and students returned to working in the building at the end of August with the majority still working from home. In preparation for the start of Michaelmas Term, a system was set up that allowed every member of the Department to come in for half the week. Unfortunately, further disruption came in November, with the partial lockdown, and again after the Christmas break. Hilary Term has been extremely quiet, with only a small number of staff and students working in the building. ALUMNI EVENT: MEETING MINDS GLOBAL 12-17 APRIL 2021 For 2021 the Alumni Office are creating the opportunity for alumni around the world to come together and experience an array of exciting and innovative talks, and connect with each other. Content will be streamed live across three time zones, from London (BST), Hong Kong (HKT) and New York (EDT) with speakers sharing their experiences and expertise across a diverse range of topics. The Department of Statistics will have a virtual ‘Booth’ at Meeting Minds Global which you can visit at any time throughout the week as well as specific events for you to join. Please see details below: ❖ Live event – come and hear short talks from members of the Department about their research during the pandemic on Friday 16th April 2021 at 3.00 pm (BST), 9.00 am (EDT), 10pm (HKT): • Professor Robin Evans, Predicting Demand for Food Bank use in Oxford During Lockdown • Dr Matthew Raybould, the high-level motivations behind building a database of anti-COVID antibodies called CoVAbDab and its scientific impact • Emmanuelle Dankwa, Understanding disease transmission: the African swine fever modelling challenge To get an idea of numbers it would be helpful if you could register your interest here. ❖ Virtual Florence Nightingale Exhibition in celebration of the bicentenary of her birth in 2020. This display includes original correspondence between Florence Nightingale and Benjamin Jowett, then Master of Balliol College, and Sir Luis Mallet, Permanent Under- Secretary of State for India; Modern Nightingales and the work of the Florence Nightingale Museum. ❖ Podcasts of Department talks held throughout the pandemic including: - Maths and Stats in Action – Real-time Analysis to Understand the Novel Coronavirus (31st January 2020) - Black History Month: Exploring the Data Visualizations of W.E.B. Du Bois (October 2020) - (Not) Aggregating Data: The Corcoran Memorial Lecture (21st January 2021) - Finding Today’s Slaves: Lessons Learned From Over A Decade of Measurement in Modern Slavery (25th February 2021). ❖ Profiles of academic staff in the Department. ❖ Department videos including Women in Science and the MSc Video ❖ Previous newsletters Meeting Minds Global will feature sessions from a wide range of disciplines, from science and technology, the medical sciences, humanities, and the social sciences, including: • An inside look into the COVID-19 vaccine lab with Professor Sarah Gilbert; • Insight into Chinese court theatre of the Ming era with Professor Tian Yuan Tan; • A sustainability panel exploring the big ideas that Oxford scientists are working on; • and... how to monitor penguins in the Antarctic! You can register for the event here. There is a one-off charge of £10 that covers the whole week. If you would like to catch up on the sessions from Meeting Minds Global 2020, and get a taste of what it's all about, log into your My Oxford Online account, and go to the My Oxford + (plus) tab, where you can see those recorded by the Alumni Office (and others). RECENT NEWS: ‘Science’ publishes new paper on Inferring the effectiveness of government interventions against COVID-19 (Dec 2020) Researchers at Oxford have found that limiting gatherings to fewer than 10 people and closing educational institutions were among the most effective non-pharmaceutical interventions at suppressing transmission of COVID- 19. Professor Yee Whye Teh from the Department of Statistics contributed to the paper, which was co- led by Mrinank Sharma, who is affiliated with the Department. The paper, Inferring the effectiveness of government interventions against COVID-19, was published in Science on Tuesday 15th December. Full details can be found here. Professor Chris Holmes to co-lead a new Statistical Modelling and Machine Learning Lab (Oct 2020) Professor Chris Holmes, The Alan Turing Institute’s Programme Director for Health and Medical Science, and Professor of Biostatistics in Genomics at the Department of Statistics and the Nuffield Department of Clinical Medicine, will co-lead a new Statistical Modelling and Machine Learning Lab. This will be a transparent, independent, research group working through collaboration between the national Joint Biosecurity Centre (JBC), The Alan Turing Institute, and the Royal Statistical Society – focussed on areas of national priority. Further information can be found here. Professor Gesine Reinert elected to the Council of the Royal Statistical Society (Oct 2020) Professor Gesine Reinert was elected to the Council of the Royal Statistical Society. Professor Christl Donnelly awarded the Frink Award (Oct 2020) Professor Christl Donnelly was awarded The Zoological Society of London’s premier award, the Frink Award, for significant and original contributions by a professional zoologist to the development of zoology. Members of the Scientific Awards Committee were unanimous in their decision. The prize was a certificate and a medal designed by the artist Elizabeth Frink. Admissions We are delighted to report that despite the pandemic we have had a record number of applications for the 2021-22 MSc in Statistical Science with 623 applications to date and a healthy 108 DPhil applications. 2020 FLORENCE NIGHTINGALE BICENTENARY LECTURE Following the postponement of our Florence Nightingale Bicentenary Lecture due to COVID-19, we were delighted that the rescheduled event still managed to go ahead in the Bicentenary year of Florence Nightingale’s birth, albeit as an Online event. The event was kindly hosted as a Zoom webinar by the International Centre for Mathematical Sciences (ICMS) on Tuesday 1st December 2020. One of the plus sides of virtual events is that it allows a far wider audience to participate and we were pleased to have over 350 attendees, including academics, medical professionals, school teachers and pupils join us from all over the world. Details of the talk are given below and you can watch a video of the whole event here. Speaker: Professor Deborah Ashby, President of the Royal Statistical Society. Title: Florence Nightingale and the politicians’ pigeon holes: using data for the good of society The Lecture was followed by a Panel Session with Deborah Ashby, David Spiegelhalter and David Cox on the role of statistics in society. This event was generously sponsored by XTX Markets in partnership with the Royal Statistical Society. Beyond Boundaries 2020 In 2020 the Mathematical, Physical and Life Sciences (MPLS) Division of the University of Oxford launched an art competition for Oxfordshire state school students in Years 5, 6, 7 & 8, to create art inspired by research from six Black, Asian and Minority Ethnic scientists. Students were encouraged to read their fascinating stories and learn about their research and then make art based on the research of one of them. Emmanuelle Dankwa, a DPhil student in the department of Statistics, was one of the researchers taking part. One winning entry and a runner-up was inspired by her research. The standard of the art produced was very impressive. For further information about Beyond Boundaries please visit https://www.oxfordsparks.ox.ac.uk/content/beyond-boundaries-2020. Matilda Cullen from Warriner School was runner-up with this artwork The winning entry by Evie Ford, a Year 6 student at Long Furlong Primary School OUTREACH IN THE DEPARTMENT Image by Arek Socha from Pixabay In the past 12 months, outreach activities at Oxford have had to adapt rapidly to an online world. In 2020 our Open Days took place online, as did the UNIQ summer school. We have changed our way of working and are now able to offer high-quality online outreach in mathematics and statistics to school students. Over the summer, the Maths Institute launched a weekly online MAT preparation livestream, which in January became the Oxford Online Maths Club. In February 2021 we collaborated with Cambridge on a new webinar called Maths Makes a Difference (aimed at Year 12 students), which we hope to grow into a series of webinars about maths with applications to real- world questions. We anticipate that all outreach for 2021 will continue to be online, but look forward to the day we can welcome students in person again. OUSC The Oxford University Statistical Consulting team, embedded within the Department of Statistics, offers Consultancy Services to external clients and University staff. Whether external or internal to the University, we work with you to understand your statistical needs and tailor our advice or statistical services to your particular questions and requirements. Our services include access to advice and guidance for your own statistical analyses, survey design, data collection, data management, assessments of data quality, analysis and interpreting and communicating results. Dr Cora Mezger, the Director of Statistical Consultancy, has an interdisciplinary background in applied and official statistics, econometrics, and demographic research, and more than 10 years of consulting and research experience. Statistical consultant Mariagrazia Zottoli has a background in statistical modelling and analysis along with database design and management. She is an experienced R-programmer and regularly uses R to build models, create data visualizations, and carry out analyses.
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