Qualitative Methods

Kamya Yadav

Senior Data Science Fellow 2024-2025, Data Science Fellow 2023-2024
Political Science

Kamya is a third year PhD student in the Department of Political Science. Using multimethod research, she studies gender, representation, and political parties in India to understand the barriers and pathways to women's political participation and representation. She has a BA in Politics from Princeton University.

Yue Lin

Data Science Fellow 2024-2025
Political Science

Yue is a Ph.D. student in Political Science at the University of California, Berkeley, with a Designated Emphasis on Political Economy. Using mixed methods, she studies foreign lobbying, geopolitical risk, and economic security to understand when, how, and why multinational corporations become the targets and weapons of state power rivalry.

Elijah Mercer

Data Science Fellow 2024-2025, Consultant
School of Information

Elijah Mercer is a Master's student in the School of Information. He is particularly interested in using data to drive results for marginalized communities. His interests are in the field of criminal justice, policy and juvenile justice.

Sahiba Chopra

Data Science Fellow 2024-2025
Haas

I'm a PhD student in the Management and Organizations (Macro) group at Berkeley Haas. I have a diverse professional background, primarily as a data scientist across numerous industries, including fintech, cleantech, and media. I hold a BA in Economics from the University of Maryland, an MS in Applied Economics from the University of San Francisco, and an MS in Business Administration from UC Berkeley.

My research focuses on the intersection of inequality, technology, and the labor market. I am particularly interested in understanding how to reduce inequality in...

John Salchak

Data Science Fellow 2024-2025
Political Science

I am a third year Ph.D. student in the Department of Political Science and I conduct empirical research on international and civil conflict. My work assesses the effects of U.S. security force assistance on partner state military design as well as the effects of foreign military interventions on subsequent dispute initiation between states.

I hold an MA from University of Chicago and a BA from George Washington University.

Hellina Hailu Nigatu

Data Science for Social Justice Senior Fellow 2024
Electrical Engineering and Computer Science (EECS)

I am a PhD student at UC Berkeley in the EECS department co-advised by Prof. Sarah Chasins and Prof. John Canny. My research interest broadly lies in the intersection of AI and HCI, with a focus on making usable AI tools accessible to end users.

I am currently looking into making NLP tools usable and accessible for low-resourced languages. I am also interested in the impact of AI on society, specifically in how it affects Global Majority countries and communities. Outside of research, I like to read books, make and drink traditional Ethiopian coffee, knit,...

Minding the Gaps: Pay Equity in California

July 9, 2024
by Tonya D. Lindsey, Ph.D. The gender pay gap continues to reflect that, on average, men outearn women. California is among the states with the smallest pay gaps (outpacing the national number at 13%) and is unique in that it enacted legislation aimed at eliminating pay gaps by sex and race categories. This blog post reflects on California’s pay gap as students study it in an undergraduate social statistics course. Independent variables indicate three theoretical frameworks: 1) human capital, 2) occupational segregation, and 3) discrimination. While the work students do is rigorous using a representative sample of full-time year-round California workers, there remains work to be done and caveats to the data and analyses.

Institutional Review Boards (IRB) Fundamentals

March 17, 2022, 3:00pm
Are you starting a research project at UC Berkeley that involves human subjects? If so, one of the first steps you will need to take is getting IRB approval.

QDA Campus License Focus Group

October 12, 2023, 12:00pm
Calling All Qualitative & Mixed-Methods Researchers at UC Berkeley! Join the conversation on Qualitative Data Analysis (QDA) Campus Software License Options! Are you a researcher (undergraduate, graduate, or faculty/staff) at UC Berkeley who employs qualitative data, text analysis, or mixed-methods research approaches? If you rely on specialized software like Atlas.ti, NVivo, MaxQDA, Dedoose, or Otter.ai in your work, Research IT & D-Lab want your input to inform the future of qualitative research supports at UC Berkeley.

Survey Fundamentals

February 21, 2024, 1:00pm
This two-hour workshop offers a comprehensive introduction to designing and conducting survey studies. Tailored for beginners, it provides clear, step-by-step guidance complemented by concise examples, practical considerations, and useful support materials. Participants will learn the entire process, from formulating a research question to creating, administering, and analyzing surveys, as well as interpreting results and communicating their findings.