C4D Network

Global community of professionals working in Communication for Development

Advanced Search
  • Home
    • About Us
  • News & Events
    • Newsfeed
    • Events
    • Opportunities
  • Network Community
    • Members
    • Country Chapters
  • Learning
    • C4D Know-How
    • C4D in Action
    • Learning Resources
    • C4D Development Topics
  • Recruitment
  • Support & Services
    • Consultancy
    • Service Providers

The Gender Analysis & Identification Toolkit: Estimating subscriber gender using machine learning (GSMA, 2018)

October 8, 2018

The GSMA’s Gender Analysis and Identification Toolkit (GAIT) addresses an issue many mobile operators face: the absence of reliable gender-disaggregated data on mobile ownership and usage. This information gap is an important one to solve, as understanding the nature and scale of the mobile gender gap is a prerequisite for closing it.

GAIT is a machine learning algorithm that analyses mobile usage patterns to estimate the gender of subscribers. This allows operators to predict the gender of their subscribers on an individual, MSISDN level. GAIT was developed in partnership with Dalberg Data Insights.

This document provides an overview of what the toolkit allows operators to do, how it works and what is required to apply the algorithm successfully. GAIT is freely available to all operator members of the GSMA.

Click here for more information.

Share this:

  • Click to share on Twitter (Opens in new window)
  • Click to share on Facebook (Opens in new window)

Filed Under: *REGION: Global, Bangladesh, Gender, ICT4D (Information Communication Technologies for Development), Publications (published in print and/or online) Tagged With: Algorithm, Mobile Phones

Site Navigation

Join C4D
Contact Us
Get Involved
Facebook Group
LinkedIn Group

Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use.
To find out more, including how to control cookies, see here: Cookie Policy

Social Networks

  • Facebook
  • LinkedIn
  • Twitter
  • YouTube
Communication for Development Network
Registered address:
Finsbury House, New Street,
Chipping Norton, Oxon, OX7 5LL, UK
E-mail [email protected]
Non-profit Company Number: 7734410

Privacy Policy

Cookie Policy

Copyright © 2023 C4D Network · Website by IndigoBird