On 28th November OxTalks will move to the new Halo platform and will become 'Oxford Events' (full details are available on the Staff Gateway).
There will be an OxTalks freeze beginning on Friday 14th November. This means you will need to publish any of your known events to OxTalks by then as there will be no facility to publish or edit events in that fortnight. During the freeze, all events will be migrated to the new Oxford Events site. It will still be possible to view events on OxTalks during this time.
If you have any questions, please contact halo@digital.ox.ac.uk
The Big Bang occurred 13.8 billion years ago. How did we get from there to what we see today? What is our universe made of at the most fundamental level and how do these building blocks form the world around us? Matter and antimatter are created and destroyed together. How then did we end up in a universe entirely made of matter? Particle physicists analyse huge amounts of data from particle collisions at the Large Hadron Collider, CERN to find out about the answers to these questions and more. With such enormous volumes of data, we must develop strategies to extract the data we are interested in from large amounts of background noise using reconstruction and machine learning techniques. Modelling and statistical analysis of the extracted data must be performed in order to measure the parameters that help us understand the differences between matter and antimatter.
