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Details of Grant 

EPSRC Reference: EP/W016419/1
Title: The future of algorithmic competition: a network-based perspective
Principal Investigator: Lambiotte, Professor RR
Other Investigators:
Dong, Dr X
Researcher Co-Investigators:
Project Partners:
Department: Mathematical Institute
Organisation: University of Oxford
Scheme: Standard Research - NR1
Starts: 01 December 2021 Ends: 31 August 2022 Value (£): 79,314
EPSRC Research Topic Classifications:
Logic & Combinatorics Non-linear Systems Mathematics
Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:
Panel DatePanel NameOutcome
29 Sep 2021 EPSRC Mathematical Sciences Small Grants Panel September 2021 Announced
Summary on Grant Application Form
Digital platforms increasingly dominate the digital and physical economy. Their rise and subsequent impact on markets is being scrutinized by politicians and regulators, concerned about the use of algorithms on these platforms, on how this might change the nature of competition online. The potential of algorithms to facilitate collusion has been emphasized in competition law, in economics, and by regulators. Despite the relevance of the topic to society, there is a lack of mathematical research on how to prevent algorithms from hindering competition at the expense of consumers.

This project initiates a broad interdisciplinary research approach at the intersection of network science, economics, and machine learning. We plan to model the behavior of algorithms in a market using tools from network science and graph theory, in order to determine the conditions that lead to strong competition with non-collusive algorithms. We hope to better understand and ultimately address algorithmic concerns online, to foster testing procedures and standards for algorithms in the digital economy.

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