Oxford Events, the new replacement for OxTalks, will launch on 16th March. From now until the launch of Oxford Events, new events cannot be published or edited on OxTalks while all existing records are migrated to the new platform. The existing OxTalks site will remain available to view during this period.
From 16th, Oxford Events will launch on a new website: events.ox.ac.uk, and event submissions will resume. You will need a Halo login to submit events. Full details are available on the Staff Gateway.
What do galaxies, lions, Higgs bosons and ancient texts from the Cairo Geniza have in common? Each of these research areas suffers from a similar problem: too much complex data for researchers to properly analyse. To make progress, researchers have turned to the general public to ask for help. Zooniverse is the largest online citizen science platform in the world, with nearly 3 million participants on over 450 projects performing tasks like classification or marking, on images from camera traps in the Serengeti to those from Astronomical Sky Surveys. Within astronomy alone, serendipitous discoveries with Zooniverse include new categories of galaxies and extra-terrestrial planets. But new generations of instruments are creating ever-larger numbers of images and other data that need to be classified. Machine learning can now do a lot of the tasks that humans can do – and they can do those tasks more efficiently. But can machines make serendipitous discoveries?
To hear the answer, join us for a public lecture by Dr. Lucy Fortson, Keble Visiting Fellow and Leverhulme Visiting Professor at the Department of Physics at the University of Oxford. Dr. Fortson comes to us as an observational astrophysicist and a Professor of Physics at the University of Minnesota. As a cofounder of the Zooniverse, Dr. Fortson’s lecture will take you on a quick tour of the engaging projects in the Zooniverse – from the Lions in the Serengeti to galaxies in the furthest reaches of time and space. Along the way, she will describe the issues that researchers now face with “Big Data”, what crowdsourcing is and how combining human intelligence with artificial intelligence is revolutionizing how science is being done.