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Faced with the ever increasing threat of doping and the innovative steps taken by offenders to conceal their folly, the World Anti-Doping Agency is also stepping up their game.
The World Anti-Doping Agency (WADA), in conjunction with the Fonds de recherche du Québec (FRQ), is funding three projects that wouldl explore the possible uses of artificial intelligence (AI) to advance their global anti-doping program.
WADA and FRQ had picked the three from eight applications towards targeted research on the application and impact of AI in the area of anti-doping.

WADA Senior Director, Sciences and International Partnerships, Dr Olivier Rabin, said: “AI is an exciting area to be explored and WADA believes there is enormous untapped potential for its use within anti-doping, particularly when it comes to the analysis of big data. In time, we think it could have a hugely positive impact. These three complementary projects will help shed some light on the extent of AI’s potential in the anti-doping context and we are pleased to be able to support what we hope will be important pieces of research.”

“Montreal has become a world leader in the area of artificial intelligence and it is thrilled that WADA has decided to engage closely with the Québec research community in this field. It is hoped through these three projects that we will raise the understanding of the impacts that AI could have on the fight against doping, both technologically and socially. Multi-disciplinary collaborations such as these are ensuring that Québec researchers are at the center of international efforts in this field as they use their expertise to solve complex global problems,”said Chief Scientist of Québec, Dr. Rémi Quirion.
The first project, led by ‘Dataperformers’, a company that was founded in Montreal in 2013, will be carried out in collaboration with the WADA-accredited laboratory in Paris, known as the Département des analyses de l’Agence française de lutte contre le dopage.
The one-year project will explore possible techniques for the analysis and application of AI to detect the use of prohibited substances or methods to circumvent anti-doping rules.
If the results are promising, they will be compared with those obtained using traditional statistical methods, such as the adaptive model currently used for the Athlete Biological Passport.

The second project, led by the Montreal-based company ‘Element AI’, aims to quantify the risk of doping in athletes through the application of AI and, as a result, to develop a sampling and testing strategy based on proprietary algorithms. The project will be funded for a period of two years.
The third project involves members of the ‘Centre for Genomics and Politics’ at McGill University in Montreal, supervised by Prof. Yann Joly.
This study will use a qualitative approach to identify the perceptions of different stakeholders regarding the use of AI and its benefits in the context of anti-doping and to guide dialogue between WADA, other anti-doping organizations, athletes and the general public. The project will also be funded for a two-year period.
WADA and the FRQ signed a memorandum of understanding in May last year with both organisations committed to contribute CAD 200,000 every year for five years (2018-22) in order to fund research projects relating to anti-doping, with the possibility of renewing the agreement beyond its initial five-year mandate.