Our Projects

We explored ways of understanding fine-grained details about gig and hustle work of youth in South Africa.

We used discourse analysis to understand the experiences of young, low-literacy women in their first jobs in a textile factory in India.

We used a WhatsApp data collection tool to ask open-ended questions of women in Paraguay and Colombia about their gender norm opinions, analyzing the data with NLP and sociolinguistics.

We interviewed PayPal call center employees in the U.S. for a year, understanding their journeys to financial wellness and what a difference PayPal’s Financial Wellness Program has made to them.

We used NLP to analyze over 75,000 Twitter and Google Play Reviews to detect early warning signals of a digital lending crisis in India and to detect users who could be considered vulnerable.

We tracked the daily financial cash flows of 20 people from the Shuar community, based in the Ecuadorian Amazon to understand how they manage their money and their level of financial health.

We created a low-cost, remote Diaries-lite interview method to understand the experiences of low-income Americans through the first few months of COVID.

We analyzed 1,000 qualitative responses from low-income respondents in Bangladesh as part of the fourth round of panel data on the impact of COVID by Brac Institute of Governance and Development (BIGD)

We created an automated "Diaries Lite" to conduct interviews with small business owners and to track their journeys of digitalization in Mexico, Colombia and Peru.

We investigated how low-income people in the U.S. and India - with a focus on women - viewed data privacy and other digital philosophies.

We have conducted a series of automated surveys (IVR) to diagnose the financial service needs of 500 women-owned medium and small businesses (WMSEs) in Bangladesh.

We have been working with Omidyar Network India (ONI) and their investee social-oriented companies to innovate a new method of measuring and scoring impact.