Identifying influential determinants of women’s empowerment in Bangladesh using machine learning algorithms

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Author: Md. A. Salam, Samiul Islam, Md. Mahfuz Uddin, Tamanna Rahman Shraboni, Antora Das, Md. Merajul Islam, Md. Rezaul Karim | Date: December 9, 2025

This nationwide analysis of 18,600 women from Bangladesh used machine learning to pinpoint key drivers of empowerment, with Random Forest delivering the strongest performance. Age, region, wealth, education (both the woman’s and her husband’s), working status, and household size emerged as the most influential factors. The findings offer actionable guidance for targeted policies aimed at accelerating progress toward SDG 5 by 2030.

Diginex Limited announces robust 293% revenue growth and enhanced balance sheet for six months ended September 30, 2025

Source: Company website

Author: Mark Blick (CEO, quoted in management commentary) | Date: December 9, 2025

Diginex, a sustainability RegTech provider, reported 293% revenue growth to $2.0 million, stronger net assets of $10.9 million, and a debt-free balance sheet, while continuing to invest in M&A and product expansion. Subsequent events included acquiring Matter DK ApS, raising $13.8 million via warrant exercises, and launching an AI-powered ISSB disclosure tool. The company positions itself to scale ESG reporting and supply-chain solutions amid rising global demand for transparent sustainability data.