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The Oxford Food Governance Group is an interdisciplinary group of researchers from the Institute for Science, Innovation and Society (InSIS), Said Business School, and the Unit for Biocultural Variation and Obesity (UBVO) at the University of Oxford, who share an interest in food governance practices. Looking at the politics of food distribution, sustainability, and governance of the food supply among other topics, this series will look at how we get our food and why it matters.
 
A one day conference showcasing the wide variety of research and projects being undertaken by Academics under the Humanities Division at the University of Oxford. From Philosophy and Neuroscience to Politics and International Relations to Literary Analysis and the History of Ideas, Oxford's Humanities Division crosses departments and subjects in its research goals.
 
The Department of Statistics at Oxford is a world leader in research including computational statistics and statistical methodology, applied probability, bioinformatics and mathematical genetics. In the 2014 Research Excellence Framework (REF), Oxford's Mathematical Sciences submission was ranked overall best in the UK. This is an exciting time for the Department. We have now moved into our new home on St Giles and we are currently settling in. The new building provides improved lecture and ...
 
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show series
 
Caroline Uhler (MIT), gives a OxCSML Seminar on Friday 2nd July 2021. Abstract: Massive data collection holds the promise of a better understanding of complex phenomena and ultimately, of better decisions. An exciting opportunity in this regard stems from the growing availability of perturbation / intervention data (genomics, advertisement, educati…
 
Qiang Liu (University of Texas at Austin) gives the OxCSML Seminar on Friday 4th June 2021. Abstract: Stein's method is a powerful technique for deriving fundamental theoretical results on approximating and bounding distances between probability measures, such as central limit theorem. Recently, it was found that the key ideas in Stein's method, de…
 
Cynthia Rudin (Duke University) gives a OxCSML Seminar on Friday 14th May 2021. Abstract: While the trend in machine learning has tended towards more complex hypothesis spaces, it is not clear that this extra complexity is always necessary or helpful for many domains. In particular, models and their predictions are often made easier to understand b…
 
Aki Vehtari (Aalto University) gives the OxCSML Seminar on Friday 7th May 2021 Abstract: I discuss the use of the Pareto-k diagnostic as a simple and practical approach for estimating both the required minimum sample size and empirical pre-asymptotic convergence rate for Monte Carlo estimates. Even when by construction a Monte Carlo estimate has fi…
 
Quan Zhou, Texas A and M University, gives an OxCSML Seminar on Friday 25th June 2021. Abstract:In a model selection problem, the size of the state space typically grows exponentially (or even faster) with p (the number of variables). But MCMC methods for model selection usually rely on local moves which only look at a neighborhood of size polynomi…
 
Distinguished Speaker Seminar - Friday 18th June 2021, with Susan Murphy, Professor of Statistics and Computer Science, Harvard John A. Paulson School of Engineering and Applied Sciences. Reinforcement Learning provides an attractive suite of online learning methods for personalizing interventions in a Digital Health. However after a reinforcement …
 
Graduate Lecture - Thursday 3rd June 2021, with Dr Fergus Boyles. Department of Statistics, University of Oxford. Drug discovery is a long and laborious process, with ever growing costs and dwindling productivity making it ever more difficult to bring new medicines to the market in an affordable and timely fashion. There is a long history of applyi…
 
OxCSML Seminar - Friday 28th May 2021, presented by Alexandra Carpentier (University of Magdeburg). In this talk we will discuss the thresholding bandit problem, i.e. a sequential learning setting where the learner samples sequentially K unknown distributions for T times, and aims at outputting at the end the set of distributions whose means \mu_k …
 
Benjamin Guedj, University College London, gives a OxCSML Seminar on 26th March 2021. Abstract: PAC-Bayes is a generic and flexible framework to address generalisation abilities of machine learning algorithms. It leverages the power of Bayesian inference and allows to derive new learning strategies. I will briefly present the key concepts of PAC-Ba…
 
Karolina Dziugaite (Element AI), gives the OxCSML Seminar on 26th February 2021. Abstract: Deep learning approaches dominate in many application areas. Our understanding of generalization (relating empirical performance to future expected performance) is however lacking. In some applications, standard algorithms like stochastic gradient descent (SG…
 
Professor Davina Durgana, award-winning international human rights statistician and professor with almost 15 years of experience developing leading global models to assess risk to modern slavery, gives a talk on their work on modern slavery. Abstract: Dr. Durgana will present her insights on the use of statistics in the global modern slavery vulner…
 
Bin Yu, Chancellor's Professor, Departments of Statistics and Electrical Engineering and Computer Science, UC Berkeley, gives a seminar for the Department of Statistics. 'A.I. is like nuclear energy - both promising and dangerous' - Bill Gates, 2019.Data Science is a pillar of A.I. and has driven most of recent cutting-edge discoveries in biomedica…
 
Professor Kerrie Mengersen, Distinguished Professor of Statistics at Queensland University of Technology in the Science and Engineering Faculty, gives the The Corcoran Memorial Lecture, held on 21st January 2021. Abstract: The ability to generate, access and combine multiple sources of data presents both opportunity and challenge for statistical sc…
 
The Florence Nightingale Bicentennial Lecture was followed by a Panel Session with Professor Deborah Ashby, Professor David Cox and Professor David Spiegelhalter. The Panel was chaired by Professor Jennifer Rogers about the role of statistics in societyโดย Deborah Ashby, David Cox, David Spiegelhalter
 
Professor Deborah Ashby, President of the RSS, gives the 2020 Florence Nightingale lecture. Florence Nightingale, best known as the Lady with the Lamp, is recognised as a pioneering and passionate statistician. She was also passionate about education, having argued successfully with her parents to be allowed to study mathematics, and later nursing,…
 
Professor Deborah Ashby, President of the RSS, gives the 2020 Florence Nightingale lecture. Florence Nightingale, best known as the Lady with the Lamp, is recognised as a pioneering and passionate statistician. She was also passionate about education, having argued successfully with her parents to be allowed to study mathematics, and later nursing,…
 
Part of the Probability for Machine Learning seminar series. Presented by Prof Lester Mackey (Microsoft Research New England and Stanford University). Abstract: Stein’s method is a powerful tool from probability theory for bounding the distance between probability distributions. In this talk, I’ll describe how this tool designed to prove central li…
 
Dr. Ekaterina Volkova-Volkmar, Senior Data Scientist, pRED Informatics - Data Science, Roche Pharma Research and Early Development, Roche, Basel, Switzerland, gives a talk on deep learning and graph neural networks in biomedicine.โดย Ekaterina Volkova-Volkmar
 
Jonny Brooks-Bartlett, Senior machine learning engineer at Spotify, gives a talk on his experiences as a data scientist and as machine learning engineer in top rated companies around the world. It's been almost 4 years since I left academia to work as a data scientist in industry. In that time I've worked in several teams at a couple of companies. …
 
Jason Forrest, Director of Interactive Data Visualization, COVID Response Centre, McKinsey and Co, New York, gives the Department of Statistics Black History Month lecture, with a talk on the work of African-American scholar and activist W.E.B. Du Bois. At the 1900 Paris Exposition, an all African-American team lead by scholar and activist W.E.B. D…
 
Fiona Lethbridge, Science Media Centre, gives a talk on the Science Media Centre and it's work. Fiona is a senior press officer at the Science Media Centre and has worked there since July 2012. She has a PhD in evolutionary biology from the University of Edinburgh. The Science Media Centre is an independent press office which opened in 2002 and bel…
 
Dr Fergus Cooper, Research Software Engineer, Oxford RSE Group, gives a talk for the department of Statistics on 5th June 2020. Following on from Graham Lee's talk on automated testing, we will use GitHub actions to automate the testing of a small Python project. We will: recap why this might be a good idea; walk through setting up a workflow on Gi…
 
Graham Lee, Research Software Engineer, Oxford RSE Group, gives talk for the department of Statistics on 22nd May 2020. Abstract: If we want reliable, reproducible simulations and data analysis software, we need to know that we have implemented our code correctly. Further, we need to be confident that changes we make to the code do not introduce un…
 
Nick Jewell, University of California, Berkeley School of Public Health, gives a talk for the departmental of Statistics on 28th May 2020. Abstract: The successful introduction of the intracellular bacterium Wolbachia into Aedes aegypti mosquitoes enables a practical approach for dengue prevention through release of Wolbachia-infected mosquitoes. W…
 
Radford M. Neal (University of Toronto), gives a talk for the department of Statistics. Hamiltonian Monte Carlo (HMC) is an attractive MCMC method for continuous distributions because it makes use of the gradient of the log probability density to propose points far from the current point, avoiding slow exploration by a random walk (RW). The Langevi…
 
Providing a whirlwind tour of the quantitative analyses currently underway to understand the transmission and control of the novel coronavirus (2019-nCOV). Recorded on 31st January 2020. www.imperial.ac.uk -> mrc-global-infectious-disease-analysis -> News--wuhan-coronavirus LINK - https://tinyurl.com/mrc-global-infectious-diseaseBiology Preprint pa…
 
The Ninth annual Florence Nightingale Lecture, given by Professor Dame Janet Thornton, European Bioinformatics Institute, Cambridge. Held on Thursday 21st April 2016. Florence Nightingale was a celebrated nurse who served the British Army during the Crimean War. Her ground-breaking use of data visualisation turned a spotlight on the terrible hospit…
 
Professor Julie Guthman (University of California, Santa Cruz) gives a talk for the Oxford Food Governance Group on 14th November 2012.โดย Julie Guthman
 
Professor Alan Petersen (Monash University) gives a talk on for the Oxford Food Governance Group on 25th October 2012.โดย Alan Petersen
 
Dr Faisal Devji gives a talk for the Oxford Humanities Research Showcase conference held on the 11th July 2011.โดย Faisal Devji
 
Professor Donna Kurtz gives a talk for the Oxford Humanities Research Showcase conference held on 11th July 2011.โดย Donna Kurtz
 
Professor Andrew Wilson, University of Oxford, showcases his research in the Ancient Roman Economy as part of the Oxford Humanities Research showcase.โดย Andrew Wilson
 
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