Investigating different levels of expertise to optimise collective intelligence
Collective intelligence can be seen all around us, from insect colonies building a nest to the collective endeavours of scientists to understand the world. However, we also see many instances of collective failure, with increasingly polarised societies and examples of mass hysteria. Harnessing collective intelligence is vitally important in an increasingly connected world where communications.
How can we build intelligent systems and societies that bring together diverse expertise effectively, and avoid the problems of groupthink and polarisation?
This project will investigate how individuals, with differing types and levels of expertise can combine their knowledge most effectively when faced with uncertainty about the world, and what incentives can be used to motivate optimal collective behaviour. This interdisciplinary project will combine ideas from mathematical modelling, statistics and machine learning/AI.
This project is open to self-funded students and is eligible for funding from the School of Mathematics Scholarships, EPSRC Doctoral Training Partnerships, and Leeds Doctoral Scholarships.
All successful UK/EU and international applicants will be considered for funding, in an open competition across the School of Mathematics. To be considered for this funding, it is recommended to apply no later than 31 March 2019 for funding to start in October 2019. However, earlier applications are welcome, and will be considered on an ongoing basis.