The CAnadian Mother-ChIld COLlaborative Training Platform - The CAMCCO-L Training Platform

At present, no academic or ad-hoc programs give the required comprehensive and standardized perinatal epidemiology/pharmacoepidemiology, pharmacogenomics and toxicology training combined with adequate competence in novel artificial intelligence machine learning. Given the rapidly evolving paste of research in this field of study, such synergistic and trans-sectorial training is urgently needed. The CAnadian Mother-Child COLlaborative Training Platform - The CAMCCO-L Training Platform - will be developed. CAMCCO-L includes world renown researchers, knowledge users, and ECRs in the field of perinatal epidemiology, genetics, basic sciences, and AI from 10 Canadian universities and 7 provinces, and 3 universities from the US, France, and Australia that have a strong track record of curriculum development, and mentoring new promising students and early career researchers (ECR). Training will include translational and crosssectional training using web-based courses/webinars in French and English (to ensure sustainability of events) in perinatal toxicology, pharmacogenomics, epidemiology, interventional medicine, AI - to ensure that we reach ECRs and trainees in far away places and internationally. A Summer School will also be included. Further topics covered will include grant, manuscript writing and presentation skills; EDI; and real-world evidence access and analyses. One annual in-person meeting (the Canadian Perinatal Network Annual Meeting) will create a community of perinatal investigators/ECR/graduate students/trainees in Canada; and on-site 4 months training within any CAMCCO-L's PI's laboratories. Curriculum evaluation will be done within CAMCCO-L's core objectives. Furthermore, a CAMCCO-L Platform Advisory Committee will be formed to guide and monitor the progress of the training platform as well as its future directions. Sustainability will be ensured by our on-line courses, our partnerships with MITACs, SOGC and MICYRN.