UK non-profit Women into Construction places women into work experience and jobs with major contractors; its Thames Tideway Tunnel partnership alone delivered …
London, United Kingdom
Good practice
Evidence: Observational / pre–post
Top 44%74/100
A decade-old public-private roundtable and Chile's National Mining Policy 2030 target lifted women's share of the large-mining workforce from 7.7% (2014) to …
Santiago, Chile
Good practice
Evidence: Observational / pre–post
Top 44%74/100
Sociological research by Kyiv-Mohyla Academy (2015) documented women serving in combat roles without recognition, directly driving Ukraine's 2018 law opening 63 military …
Kyiv, Ukraine
Good practice
Evidence: Descriptive / self-reported
Top 24%73/100
VDAB has deployed multiple AI systems since 2018: a multilingual deep-learning job-matching engine; Orient 2.0 (orientation test reduced from 45 to 10 …
Brussels, Belgium
Good practice
Evidence: Descriptive / self-reported
Top 54%72/100
Include-IT Mersey provides targeted, personalised digital skills development and employment support to digitally excluded, unemployed/economically inactive residents of the Liverpool City Region …
Liverpool, United Kingdom· Local
Good practice
Evidence: Observational / pre–post
Top 54%72/100
Since ~2018, Flanders' employment service VDAB has used a Random Forest ML model, "Next-Step", to predict jobseekers' re-employment odds and route those …
Brussels, Belgium
Good practice
Evidence: Observational / pre–post
Top 50%60/100
Bangladesh's NISE (2021) uses AI job-matching and skills forecasting to connect youth to employment. Over 1M registered, 300K+ job opportunities created, 2,000+ …
Since 1999, Bengaluru NGO Enable India has trained blind, visually impaired and other people with disabilities in assistive technology and digital skills, …
The eSKILLS4ALL project initiates a holistic approach to promote digital literacy, while fighting skills mismatches and unemployment of low-skilled unemployed adults with …
Edinburgh, United Kingdom· Transnational
Good practice
Evidence: Descriptive / self-reported
Top 82%52/100