2020-11-10, 06:00–06:30, Times in UTC
The success of the citizen science project Galaxy Zoo, launched back in 2007, has demonstrated the impact that hundreds of thousands of volunteers can make in a field of research. Whilst a powerful science communication and outreach tool, citizen science also allows for the classification of huge data sets in the era of ‘big data’. I will review some of the latest results from the Galaxy Zoo project, including re-evaluating Hubble’s galaxy classification system and some of the unexpected objects discovered. The success of Galaxy Zoo, saw the launch of the Zooniverse platform, now hosting thousands of citizen science projects across hundreds of disciplines; from zoology to history. Even as the pace of development of machine learning continues to increase, I will argue that human classification will still have its place in science in the years to come, with particular focus on the impact in astronomy with the advent of the LSST.