Math To Power Industry

Math to Power Industry (M2PI) is a professional development program designed to strengthen the Canadian economy by linking highly trained mathematical talent with industry needs. Developed and launched by PIMS in 2020, M2PI creates collaborative opportunities where mathematics can drive innovation and economic impact.

M2PI connects non-academic partners (industry, government, non-profits and related sectors) with teams of skilled mathematical trainees to tackle real-world problems. Partners submit challenges that could benefit from a mathematical perspective, and M2PI convenese an intensive 2-3 week workshop is convened where trainees sharpen their skills and apply them to the problems. 

Before working with partners, M2PI trainees complete a rigourous boot camp covering software best practices, coding, business, communications and project management. They then collaborate closely with their industry partner to explore, analyze and develop potential solutions.

To learn more about M2PI, including current projects and opportunities, please visit m2pi.ca.

m2pi.ca

PIMS also supports a the M2PI Case Studies Virtual Seminar, where past problems are examined and valuable experiences are shared. Written reports showcasing partner problems and trainee solitions are also available below. To explore this initiative further and see how mathematics is powering innovation across sectors, visit m2pi website.

Latest Issue

M2PI 2021 Final Report

M2PI Final Report

(2021)

In this edition

  • AI for road surface scanning - Aerium Analytics
  • Feasibility of Using Vertical Axis Wind Turbines (VAWT) Placed on Highway Medians - ATCO
  • Personalized Medicine - CSTS Healthcare
  • Modelling Mosquito Populations - City of Winnipeg, Insect Control Branch
  • Analytics and Visualization of Political Data - IOTO International
  • Characterizing Resistance and Conductance on a Copper Bus Bar - McMillan-McGee
  • Modelling Mountain Pine Beetle Invasions By Long Distance Dispersal - Natural Resources Canada (NRCAN)
  • Optimizing Marking Techniques for Mark-Recapture Studies of Mountain Pine Beetles - Natural Resources Canada (NRCAN)
  • Modelling Real-Time Hydraulic Systems with Position Based Dynamics - Serious Labs
  • New Techniques and Technologies in Data Driven Approaches to Sustainability - Theory Mesh

 

Math To Power Industry Archive