Speaker: Professor Elena Simperl
Time: 16/11/2016 11:00-12:00
This talk explores the design space of citizen science as one of the most advanced application of crowdsourcing. Modern, data-intensive scientific experiments increasingly depend on data analysis capabilities which are notoriously hard to automate - they require a level of perception and cognition that machines cannot replicate. However, using the crowd has its challenges - in ensuring that the data created is useful, that projects can reach and sustain the right level of participation, and that the overall experience benefits both scientists and volunteers. We will look at several exemplars of successful citizen science and introduce guidelines and tools we created to help them master these challenges.