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Creative Commons |
1. The relevance of maths to cancer with Professor Philip Maini |
Vicky Neale talks to Philip Maini about how mathematical modelling can help researchers and doctors to improve the quality of life for people receiving cancer treatment. |
Vicky Neale, Philip Maini |
12 Dec 2022 |
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Do Simpler Models Exist and How Can We Find Them? |
Cynthia Rudin (Duke University) gives a OxCSML Seminar on Friday 14th May 2021. |
Cynthia Rudin |
29 Jul 2021 |
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Complexity of local MCMC methods for high-dimensional model selection |
Quan Zhou, Texas A and M University, gives an OxCSML Seminar on Friday 25th June 2021. |
Quan Zhou |
02 Jul 2021 |
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Probabilistic Inference and Learning with Stein’s Method |
Part of the Probability for Machine Learning seminar series. Presented by Prof Lester Mackey (Microsoft Research New England and Stanford University). |
Lester Mackey |
04 Dec 2020 |
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How do mathematicians model infectious disease outbreaks? |
Models. They are dominating our Lockdown lives. But what is a mathematical model? We hear a lot about the end result, but how is it put together? What are the assumptions? And how accurate can they be? |
Robin Thompson |
15 Apr 2020 |
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The Science of Modelling Through |
Professor Dan Sarewitz delivered this seminar at the Institute for Science Innovation and Society on 4 March 2019 |
Daniel Sarewitz |
08 Jul 2019 |
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Digital Rhetoric, literae humaniores and Leibniz's dream |
Willard McCarty, King's College, London, gives the 2017 Besterman lecture. |
Willard McCarty |
13 Dec 2017 |
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The Law of the Few - Sanjeev Goyal |
The study of networks offers a fruitful approach to understanding human behaviour. Sanjeev Goyal is one of its pioneers. In this lecture Sanjeev presents a puzzle: |
Sanjeev Goyal |
04 Jul 2017 |
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Strachey Lecture: Probabilistic machine learning: foundations and frontiers |
Professor Zoubin Ghahramani gives a talk on probabilistic modelling from it's foundations to current areas of research at the frontiers of machine learning. |
Zoubin Ghahramani |
15 Mar 2017 |
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Modelling genes: the backwards and forwards of mathematical population genetics - Alison Etheridge |
In this lecture Professor Alison Etheridge explores some of the simple mathematical caricatures that underpin our understanding of modern genetic data. |
Alison Etheridge |
06 Jul 2016 |
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Creative Commons |
Is more evidence always better? |
The value of adding decision analytical modelling to the IDEAL framework |
Casper Tax |
27 Jun 2016 |
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'Relationships' part 3 - Networks: the science of connections |
What is a network and how can you use mathematics to unravel the relationships between a variety of different things? How can this understanding then be applied to a range of different settings? |
Mason Porter |
29 Apr 2016 |
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What Maths Really Does: From modelling the brain to modelling the climate - Alain Goriely |
How has mathematics emerged over recent decades as the engine behind 21st century science? Alain Goriely looks at this question and more. |
Alain Goriely |
04 Dec 2014 |
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What Maths Really Does: From modelling the brain to modelling the climate |
How has mathematics emerged over recent decades as the engine behind 21st century science? Alain Goriely looks at this question and more. |
Alain Goriely |
06 Oct 2014 |
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123d Catch - creating 3D images with an iPad or tablet |
123d Catch is a piece of 3D modelling software that allows you to create high quality, rotating 3D images on an ipad by taking a series of pictures around the object. This short video explains how to get started. |
Adrian Brooks, Tim Dobson, Helen Ward |
23 Jul 2014 |
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Modelling the emission and transport of Saharan dust |
Jamie Banks, Atmospheric Physics, Oxford, talks at the 1st Oxford Interdisciplinary Desert Conference hosted by the School of Geography and the Environment, University of Oxford, on the 15-16 April 2010. |
Jamie Banks |
24 Feb 2011 |
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The More Things Change, the More They Stay the Same: Online Audiences and the Paradox of Web Traffic |
Using three years of daily Web traffic data, and new models adapted from financial mathematics, this talk examines large-scale variation in Web traffic. |
Matthew Hindman |
06 Mar 2009 |
