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HCI4D, future of Work, digital labor, professional wellbeing, sustainability

Research Areas

Hello!

I am a doctoral candidate in the Information Science department at Cornell University. ​ My research falls in the intersection of Human Computer Interaction (HCI),  Computer Science (CS), and  Development Sociology.  I  study and design technologies that minimize inequities in digital labor, especially for underserved communities. I take a mixed-methods approach with an aim to translate my research insights into impactful technological solutions. You can read my work in leading conferences, including CHI, CSCW, ICTD, & COMPASS.  All of my research has been generously funded by Engaged, Einaudi, and Mozilla grants.

I also actively mentor under-represented students and provide research consultations for leading non-profits. Please feel free to send me an email at rv288 at cornell [dot] edu.

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UPDATES

Apr'22:

Will be working as student research intern at Google in responsible AI team starting this summer

Mar'22:

Recieved honorable mention for our CHI'22 paper around women crowd workers.

Feb'22:

Another CHI'22 paper around motivations & challenges of first-time women crowd workers is in.

Dec'21:

CHI'22 paper exploring misinformation engagement practices by rural communities is out.

Nov'21:

Provided my voice in a new article about skyrocketting market of block programming in India. about

Jul'21:

My department gave me service award for my work as student association co-president.

Jun'21:

Our paper that explores technology stress among low-income teachers got selected for CSCW'21.

LATEST WORK

 CHI'22  

🏆Feeling Proud, Feeling Embarrassed: Experiences of Low-income Women with Crowd Work

Women's economic empowerment is central to gender equality. However, work opportunities available to low-income women in patriarchal societies are infrequent. While crowd work has the potential to increase labor participation of such women, much remains unknown about their engagement with crowd work and the resultant opportunities and tensions. To fill this gap, we critically examined the adoption and use of a crowd work platform by low-income women in India. Through a qualitative study, we found that women faced tremendous challenges, for example, in seeking permission from family members to do crowd work, lack of family support and encouragement, and often working in unfavorable environments where they had to hide their work lives. While crowd work took a toll on their physical and emotional wellbeing, it also led to increased confidence, agency, and autonomy. We discuss ways to reduce frictions and tensions in participation of low-income women on crowd work platforms