Using AI to Analyze Domestic Violence and Online Harassment During COVID19
In this project, award-winning Red Dot Foundation will partner with Omdena’s innovation platform to build an artificial intelligence solution to better understand domestic violence and online harassment trends during COVID19.
Applications closed! Thanks for the overwhelming interest.
The problem: A rise in domestic violence
COVID19 has shown a marked increase in cases of domestic violence and online harassment. Data substantiating domestic violence from government resources is only available in summary form. Incidents increases are largely reported via calls and hence making data and subsequent mapping difficult. Also, online harassment is on the rise and that information is available anecdotally. Both problems need urgent attention!
Work from Omdena’s COVID19 Project
The project goal
The project scope will be around two many areas:
Data mining and analysis regarding an increase in online harassment and domestic violence in the time of COVID19.
Creating a database and map trends of increase in incidents of domestic violence as seen on publicly available forums.
The database will display analytical trends of increased domestic violence and online harassment, broken down geographically, by gender and age demographics, with basic definition segregation of types of domestic and online abuse.
The goal is to use these solutions to subsequently help victims.
Red Dot Foundation will provide the catch/keywords, phrases, links, ideas, and concept of information to be mined from publicly available social media.
Why you should join the project
The partner organization, Red Dot Foundation, is an award-winning NGO, which aims to make cities safer by encouraging equal access to public spaces for everyone, especially women, through the use of crowdsourced data, community engagement, and institutional accountability.
For the next four weeks, you will not only build AI solutions to make a real-world impact but also go through an entire data science project lifecycle. This covers problem scoping, data collection and preparation, as well as modeling for potential deployment.
And the best part is that you will be part of a global and collaborative team.
An award-winning platform that crowdsources personal stories of sexual harassment & abuse in public spaces to make this data useful for individuals, local communities and local administration to identify factors that cause harmful behaviour and develop coping strategies.
Machine Learning India (MLI), under QAIL, is a thriving community of 200,000 ardent - artificial intelligence enthusiasts across India. The goal of MLI is to reduce the skill-gap in India, by creating a vibrant AI ecosystem and talent pool; thereby leading the country to have a significant take in the global AI revolution.