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.
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Throughout the social world, predictive algorithms are a means to an end. They provide forecasts of future events with the aim to improve human decisions and drive positive changes in core life outcomes (increase graduation rates, life expectency, etc.). Given that higher welfare — not accuracy — is the ultimate goal of prediction, it’s clear that algorithms are just a small piece of the puzzle. There are many things we can do to improve welfare beyond improving the accuracy of predictive systems. Given this broad design space, when is investing in prediction truly “worth it”? This talk will discuss a new line of research that aims to formalize foundations for this question. Based on joint work with Christoph Kern and Unai Fischer-Abaigar.
