We are delighted to report that Dr Long Tran-Thanh has received a AIJ Prominent Paper Award for his first-authored paper, Efficient crowdsourcing of unknown experts using bounded multi-armed bandits, published in 2014 at Artificial Intelligence (AIJ), a premier journal in the field of artificial intelligence. The AIJ Prominent Paper Award recognises outstanding papers published in the journal in the last seven years that are exceptional in their significance and impact.

The paper developed the first comprehensive framework for the rigorous and principled mathematical analysis of task allocation algorithms in crowdsourcing systems. In addition, the paper proposed bounded bandits, a new sequential decision making model to solve task allocation problems with resource constraints. The work has had a significant impact on subsequent work carried out in both industry and academia. The award will be presented at IJCAI 2021, a top tier international conference in artificial intelligence.

The Mathematical Association of America has presented Mike Paterson with a 2021 Paul Halmos - Lester Ford Award for an article of "expository excellence published in The American Mathematical Monthly". There were several unusual aspects to this paper: the title, "A head-ache causing problem"; the authors, "Conway, J.H., Paterson, M.S., and Moscow, U.S.S.R"; the sole reference in the paper is to itself; the main result is first disproved and then proved; and the acknowledgments make clear that Conway wrote the paper. Paterson previously received this award in 2010 (then the Lester Ford Award) for his "Overhang" article. More information can be found here.

We are delighted to announce that Dr Long Tran-Thanh has been awarded funding and support from Google’s AI for Social Good program.

The program focusses on using AI to address some of the world’s biggest societal challenges. Dr. Tran-Thanh’s project, titled Incentive Engineering and Truthful Mechanisms for Grassland Quality and Local Market Price Estimation in Africa, will address the problem of holistic grazing and pasture management in East Africa. The main objectives of the project are: (i) to identify the most efficient ways to evaluate the overall quality of different grazing areas; (ii) to develop a user friendly recommendation system that chooses the next best grazing areas for pastoralists, that takes into account the holistic aspect of pasture management; and (iii) to incentivise pastoralists to truthfully report their activities in order to further improve the system’s predictive ability. The project is a collaboration between the University of Warwick and AfriScout.