Surveys, Sampling & Interviews

Erin Manalo-Pedro

Research Fellow
Community Health Sciences (UCLA)

Erin Manalo-Pedro is a Ph.D. student in the Department of Community Health Sciences at the UCLA Fielding School of Public Health with a minor in education. She focuses her racial health equity research on curriculum, the health workforce, and political interventions for communities of color. Drawing from Public Health Critical Race Praxis and Pinayism, she aims to use methods, like natural language processing and counter storytelling, to document the subtleties of structural racism and resistance from marginalized groups.

To guide her interdisciplinary approach, Erin leverages
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Caroline Figueroa, MD, Ph.D.

Research Fellow, Digital Health Social Justice Project Lead
School of Social Welfare
Digital Health Social Justice

Caroline Figueroa, MD Ph.D., is a Postdoctoral Scholar at UC Berkeley School of Social Welfare. She obtained her MD degree and Ph.D. degree at the University of Amsterdam in the Netherlands. Her Ph.D. research took place at the University of Amsterdam and at the University of Oxford, where she studied cognitive and neurobiological vulnerability factors for recurrence of depression in patients remitted from Major Depressive Disorder. Current research interest is on digital interventions for depression, with an emphasis on developing cutting-edge innovations that tailor to the needs of...

Swetha Pola

Research Fellow
School of Information

Swetha (she/her) is a 5th Year Master of Information and Data Science student at the School of Information, with experience in Cognitive Science, Psychology research, and product management. Her research interests include building ethical, transparent AI and the impacts of technologies (specifically, mass media, surveillance, and algorithms of bias) on longitudinal behavioral health. She is happy to help with questions on Python, R, SQL, machine learning, neural networks, statistical analysis, and research design!

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Michael Ruiz

Senior Data Science Fellow
Psychology

Michael earned his B.A.in Psychology from UC Berkeley and currently works as the manager of Professor Okonofua's Equity, Diversity, and Empathy Navigation Sciences Lab in the UC Berkeley Psychology department.

Severin Saenz, MCP

Academic Program Manager III, Consultant
Department of City and Regional Planning

I'm a graduate of the Department of City and Regional Planning. My areas of expertise are affordable housing, k-12 education, and community economic development.

Eileen Cahill

D-Lab Alumni
School of Information

Eileen is currently a first year Information Management and Systems student committed to studying human-centered design for the utility and usability of healthcare systems. She spent the last few years working in genomic research program analysis and management at the National Human Genome Research Institute. Prior to that, Eileen attended Georgetown University where she studied biology and studio art. During this time, she performed research on water contaminants in an analytical chemistry lab as well as research on estrogen mimicking compound effects on Zebrafish in a brain...

Tiffany Hamidjaja

Consultant
Sociology

Hello! I’m a Sociology Ph.D. student and National Science Foundation Graduate Research Fellow. My research focuses on children of incarcerated parents as collateral consequences of mass incarceration and the criminal justice system. My two current projects examine: 1) the traumatic impact of viewing a parental arrest on a child in their understanding of criminality, law enforcement, and delinquency outcomes and 2) the compounding effect of parental incarceration and the child welfare system on children. Before joining Berkeley, I was a research assistant at Columbia University...

Is your Random Sample Really Random?

January 20, 2022

One of the frequent ways people can run into random numbers is through their research. We often hear the term “random sample,” or a “randomized” assignment to control. Or, sometimes, we can randomly select a certain number of rows or columns from data to perform an analysis on a representative snapshot of the data. Additionally, for many of us from a natural science or engineering background, random numbers are often used in simulations or optimization models. Given the wide variety of uses for random numbers in Data Science, I thought it would be interesting to take an...

7 Steps to a strong survey tool with Qualtrics

November 30, 2021

When creating a survey for an audience it is important to make your survey tool accessible, succinct, and understandable. The following 7 step guide gives you an important tool kit to improve your survey response rates and completion rates, and give you clear results.

1: Set the stage on your intro page.

Inform the respondent of the purpose of the survey on the title page of your survey. The purpose of this page is to build trust with the audience and provide the necessary information...