The Engendering Success in STEM (ESS) Consortium is launching Quant-TIDE (Quantitative Training for Intersectional Diversity in Engineering). Quant-TIDE is a 5-day online training conference in quantitative methods where students will learn the Fundamentals of Deep Learning (Dr. Muhammad Abdul-Mageed, University of British Columbia), Multilevel Models (Dr. Sabrina Thai, Brock University), and Structural Equation Models (Dr. Joanne Chung, University of Toronto) on the first three days and a grant-writing workshop on the last two days, geared toward grant writing in the Canadian context. Selected students will receive a $500 award to support their attendance.
Quant-TIDE is an EDII initiative within the broader gender diversity efforts of the ESS Consortium. Funded by the Social Science and Humanities Research Council, the ESS Consortium promotes gender diversity in Canadian STEM. Quant-TIDE is an attempt to recognize the different experiences of women and gender minorities with intersecting gender, race or ethnicity, LGBTQ2S+, socioeconomic, or disability identities in STEM.
Applications are due on July 15th, 2022 (deadline has been extended) through their website: https://quanttide.ca/how-to-apply/. The Quant-TIDE website also contains more detailed information about Quant-TIDE. Any questions can be directed to quant.tide@utoronto.ca.