Article Complete
AIM
IIT Madras’ Robert Bosch Centre launches project to reduce gender data gap in Wikipedia
IIT Madras’ Robert Bosch Centre launches project to reduce gender data gap in Wikipedia

IIT Madras’ Robert Bosch Centre launches project to reduce gender data gap in Wikipedia

The initiative founders have set a goal of auto-generating biographies of several notable women within the next International Women’s Day.

Published Updated

Key takeaways

  • IIT Madras' Robert Bosch Centre has launched the 'Hidden Voices' initiative to tackle the gender data gap in Wikipedia.
  • The initiative aims to auto-generate biographies of notable women by the next International Women’s Day.
  • Barriers to addressing the data gap include editor demographics and contributions from external sources.
  • The project will utilise machine learning and information theoretical approaches for auto-generating content.
  • The initiative seeks to create broader data products that enhance gender diversity in global data.
5 min

Indian Institute of Technology Madras’ Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI) and SuperBloom Studios, a business consultancy firm, have launched an initiative called ‘Hidden Voices’ to reduce the gender data gap in digital sources, starting with Wikipedia.

The initiative founders have set a goal of auto-generating biographies of several notable women within the next year, specifically within the next International Women’s Day (8th March 2023). SuperBloom Studios was co-founded by three IIT Madras alumni.

Some of the major barriers in addressing the data gap include editors' gender and interest but also contributions from external sources. Hence, the project aims to develop information theoretical approaches, ML-assisted auto-identification and validation of external sources and textual analysis methods to auto-generate the first draft of Wikipedia-style biography. The models developed will employ this approach to generate Wikipedia articles for notable women in STEMM (Science, Technology, Engineering, Medicine and Management).

The project is hoped to lead to multiple data and analytics-based products and services that could go beyond Wikipedia-gap closure and address the lack of gender diversity in data at a global level.

Those interested in volunteering for this initiative can register here.

Membership

Stay ahead with AI insights.

Unlimited access to premium articles, exclusive analysis, and the stories shaping India's AI economy.

Subscribe now

AIM Americas

1190 Miraloma Way Suite P, Sunnyvale, CA 94085

AIM India

1st Floor, Sakti Statesman, Bellandur, Bengaluru – 560103

© 2026 AIM. All rights reserved.