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Grant: Collaborative Research and Training Experience

Université d'Ottawa

$307,500.00

Interdisciplinary Math and Artificial Intelligence Program (INTER-MATH-AI)

FY 2024-25

Summary
Artificial intelligence (AI) is ushering in what has been called the Second Machine Age or AI Era. It offers great promise to help us understand complex systems such as the world's climate or the human brain, but at the same time has the potential to shape society and our safety. Understanding and guiding the forces of AI at this juncture is essential to transition to a new balance that benefits humanity. Ethics, equity, diversity and inclusion must inform this endeavour. In research-level Machine Learning (ML), the field that supplies the driving algorithmic advances in AI, there is currently a dramatic lack of diversity and of women in particular. Also, most SMEs report serious challenges to develop AI tools that add to the value of their activities, because of the shortage of suitably skilled personnel. INTER-MATH-AI targets these gaps in the specific high-growth sector of advanced technology and science SMEs. The core activities in this sector are already highly technical and stand to benefit greatly from methods that combine applied math with machine learning. INTER-MATH-AI provides students with a unified training platform that starts with specialized training in Math and ML, and has students create original Math-AI solutions to real-world challenges, thus helping to bring industrial Math into the AI Era. The program involves strong nurturing of creativity and collaboration skills, keen awareness of ethics and social impact, as well as extensive connections with industry and government partners. Our team includes 11 leading scientists from 4 of Canada's research-intensive Universities, the AI hubs of MILA and Vector, the UOttawa Centre for Law, Technology and Society - a global leader in technology law, ethics and policy, as well as CARE-AI - the pioneering Centre for Responsible and Ethical AI at Guelph. Our recruiting aims to bring a diverse and gender-balanced pool of trainees into AI, and bring together trainees who are passionate about both Math and AI to give them extensive collaborative experiences with each other and with a large network of potential employers. Our graduates will be in high demand by SMEs in advanced technology and science, helping them to become the AI innovators of tomorrow in their fields.
Program
Collaborative Research and Training Experience
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
565172-2022
Name nom
Fraser, Maia MJ
Department département
Mathematics and Statistics
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2022
Award amount
307500
Program id
CREAT
Program name en
Collaborative Research and Training Experience
Program name fr
Programme de formation orientée vers la nouveauté, la collaboration et l'expérience en recherche
Group en
RESEARCH TRAINING AND TALENT DEVELOPMENT
Group fr
FORMATION EN RECHERCHE ET PERFECTIONNEMENT DES COM
Committee code
1078
Committee name en
CREATE Program
Committee name fr
Programme FONCER
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Interdisciplinary Math and Artificial Intelligence Program (INTER-MATH-AI)
Keywords
applications of ai; artificial intelligence; hybrid machine learning; machine learning; mathematical modelling; neural networks; numerical methods; optimization; reinforcement learning; topological data analysis
Application summary
Artificial intelligence (AI) is ushering in what has been called the Second Machine Age or AI Era. It offers great promise to help us understand complex systems such as the world's climate or the human brain, but at the same time has the potential to shape society and our safety. Understanding and guiding the forces of AI at this juncture is essential to transition to a new balance that benefits humanity. Ethics, equity, diversity and inclusion must inform this endeavour. In research-level Machine Learning (ML), the field that supplies the driving algorithmic advances in AI, there is currently a dramatic lack of diversity and of women in particular. Also, most SMEs report serious challenges to develop AI tools that add to the value of their activities, because of the shortage of suitably skilled personnel. INTER-MATH-AI targets these gaps in the specific high-growth sector of advanced technology and science SMEs. The core activities in this sector are already highly technical and stand to benefit greatly from methods that combine applied math with machine learning. INTER-MATH-AI provides students with a unified training platform that starts with specialized training in Math and ML, and has students create original Math-AI solutions to real-world challenges, thus helping to bring industrial Math into the AI Era. The program involves strong nurturing of creativity and collaboration skills, keen awareness of ethics and social impact, as well as extensive connections with industry and government partners. Our team includes 11 leading scientists from 4 of Canada's research-intensive Universities, the AI hubs of MILA and Vector, the UOttawa Centre for Law, Technology and Society - a global leader in technology law, ethics and policy, as well as CARE-AI - the pioneering Centre for Responsible and Ethical AI at Guelph. Our recruiting aims to bring a diverse and gender-balanced pool of trainees into AI, and bring together trainees who are passionate about both Math and AI to give them extensive collaborative experiences with each other and with a large network of potential employers. Our graduates will be in high demand by SMEs in advanced technology and science, helping them to become the AI innovators of tomorrow in their fields.
Université d'Ottawa - $307,500 Grant (2024-25) | Canada Spends