A Data-Driven Approach to Recognising Gender Equity Progress
The Gender Forward Awards are designed to identify and celebrate organisations making tangible progress in breaking barriers for women in the workplace.
For the first time, we’re harnessing the power of artificial intelligence to analyse the historic trends of 7,711+ UK companies and honour the companies forecasted to achieve the most significant improvements in women’s leadership.
What Are the Gender Forward Awards?
The Gender Forward Awards recognize UK companies that are forecasted to make the most significant improvements in the percentage of women in their top pay quartile. We use AI to analyze publicly submitted gender pay gap data and identify leaders.
Why These Awards?
The awards aim to bring visibility to organizations that are improving representation, providing both recognition. By relying on transparent data and AI forecasting, the awards offer an unbiased snapshot of companies driving change.
Gender Forward Award Results
InclusiMetrics adapts to the unique needs of various industries from the law sector to health and science, and more. The tool’s flexibility makes it easy to use even for those without DEI experience, offering a simple and intuitive interface that empowers all organizations.
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What Makes These Awards Unique?
AI-Driven Forecasting:
The awards leverage a machine learning model that analyzes gender pay data from over 7,711 companies to forecast annual progress in gender representation.
Focus on Public Data:
Instead of relying on self-reported applications, the awards draw from mandatory gender pay gap data submitted to the gov.uk website. This ensures that only organizations committed to transparency and compliance are recognized.
Annual Recognition:
Each year, the awards dynamically predict which companies are likely to demonstrate the most improvement in their gender representation at senior pay levels, ensuring ongoing relevance and recognition.
How the AI Tool Works?
At the core of the Gender Forward Awards is a Random Forest Regression Model, a powerful machine learning algorithm that forecasts trends in gender representation.
The tool evaluates publicly available data, including:
- Historical gender balance in top pay quartiles.
- Company size and geographical location, adjusting for industry and regional factors.
- Gender pay gap metrics, such as mean and median pay disparities and bonus gaps.
- Data collected since 2017, the model learns patterns in gender equity progression and forecasts future representation for each company.
The awards are determined solely by analysing public data submitted under UK gender pay gap reporting laws.
Companies cannot apply for this recognition—it is entirely based on their compliance and the quality of their data submissions. All data analysed for the awards is sourced from the gov.uk website, where companies with 250 or more employees are legally required to report gender pay gap metrics annually.
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