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Good practice Imported

AI-for-Equity — Cross-Border AI and Coding Mentorship for Girls in Dhaka

Bangladesh · Dhaka · See the Bangladesh profile

Since 2019, nonprofit AI-for-Equity has run online coding and AI-ethics classes pairing Dhaka girls (15+) with US student mentors; independent reporting cites 60-80% of university-bound graduates later choosing STEM fields.

AI-for-Equity — Cross-Border AI and Coding Mentorship for Girls in Dhaka

Details

Promoter
AI-for-Equity (AIE)
Period
2019–2023 (ongoing)
Keywords
AI education, gender equality, mentorship

Description

AI-for-Equity (AIE), founded by data scientist Farhana Faruqe, runs a free, online AI and coding programme for girls in Bangladesh, coordinated from Dhaka. Since its first cohort in 2019 — roughly 20 girls aged 15 and up, originally reached through a private girls' school — the programme has continued on an ongoing basis, pairing Bangladeshi students with peer mentors in the United States across a 12-hour time difference.

The curriculum starts with MIT's Scratch to build computational-thinking foundations, then moves into Python and applied AI concepts, with AI ethics integrated throughout rather than taught as an add-on. Participants need no prior technical background; the programme runs despite logistical constraints such as students relying on parents' shared laptops.

Independent reporting by the University of Virginia's School of Data Science — not AIE's own materials — cites that 60-80% of programme graduates who went on to university chose to pursue STEM fields, and situates the programme against the finding that only 2% of women in Bangladesh have foundational ICT skills. No independent, methodologically described evaluation (e.g. a matched comparison group) was found; the STEM-uptake figure is best read as a self-reported alumni outcome relayed through independent journalism rather than a formal impact study.

Read the full analysis: https://datascience.virginia.edu/news/breaking-code-empowering-girls-bangladesh-bridge-gender-gap-tech

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