MAXQDA

Jane (Mango) Angar

Data Science Fellow 2024-2025
Political Science

Hi! I am a PhD candidate in the Political Science Department at UC Berkeley. My dissertation traces the emergence of disability rights groups in Africa, focusing on Zambia and Malawi, and examines factors influencing their effectiveness. I use mixed methods, including archival work, field interviews, participant observation, and surveys for data collection.

My data analysis techniques include text analysis, social network analysis, means tests, and regressions. In my free time, I enjoy moderately difficult hikes, walks along the beach with my dog, Princess, and...

CANCELED: MaxQDA: Introduction

November 15, 2022, 10:00am
This two-hour introductory workshop will teach you MaxQDA from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the MaxQDA software, upload multiple forms of data then how to use manual and autocode features. We will review some of the additional analytic features including visual, memo and the Questions, Themes and Theories (QTT) tools. We will briefly touch on the MaxQDA Team cloud-based version. Instructors will share recommended resources.

MaxQDA: Introduction

February 14, 2023, 10:00am
This two-hour introductory workshop will teach you MaxQDA from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the MaxQDA software, upload multiple forms of data then how to use manual and autocode features. We will review some of the additional analytic features including visual, memo and the Questions, Themes and Theories (QTT) tools. We will briefly touch on the MaxQDA Team cloud-based version. Instructors will share recommended resources.

MaxQDA Fundamentals

February 6, 2024, 1:00pm
This two-hour introductory workshop will teach you MaxQDA from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the MaxQDA software, upload multiple forms of data then how to use manual and autocode features. We will review some of the additional analytic features including visual, memo and the Questions, Themes and Theories (QTT) tools. We will briefly touch on the MaxQDA Team cloud-based version. Instructors will share recommended resources.

MaxQDA Fundamentals

January 10, 2024, 9:00am
This two-hour introductory workshop will teach you MaxQDA from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the MaxQDA software, upload multiple forms of data then how to use manual and autocode features. We will review some of the additional analytic features including visual, memo and the Questions, Themes and Theories (QTT) tools. We will briefly touch on the MaxQDA Team cloud-based version. Instructors will share recommended resources.

MaxQDA: Introduction

September 28, 2023, 2:00pm
This two-hour introductory workshop will teach you MaxQDA from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the MaxQDA software, upload multiple forms of data then how to use manual and autocode features. We will review some of the additional analytic features including visual, memo and the Questions, Themes and Theories (QTT) tools. We will briefly touch on the MaxQDA Team cloud-based version. Instructors will share recommended resources.

Elijah Mercer

Data Science for Social Justice Fellow 2024
School of Information

Elijah, originally from Newark, New Jersey, now resides in San Francisco, California, dedicated to social and juvenile justice. With a Criminology degree from American University, he began as a research intern at the Investigative Reporting Workshop, focusing on the Digital Divide.

Teaching in Baltimore with Teach for America reinforced his belief in research and data for marginalized communities. In roles at the Coalition Against Insurance Fraud, New York Police Department, and San Francisco District Attorney’s Office, Elijah used data to combat crime. Now...

Renee Starowicz, Ph.D.

Data Services Manager, Senior Instructor, Senior Consultant, Co-Executive Director of Berkeley FSRDC
D-Lab
Berkeley Graduate School of Education

Renee Starowicz, Ph.D., has been affiliated with the D-Lab since January 2020 when she joined the NSF IUSE, Undergraduate Data Science at Scale project. Renee’s research interests include Critical Disability Studies, Trauma-skilled inclusive practices and Multimodal Communication Access. At the DLab, Renee is an instructor for STATA FUNdamentals and Introduction to Qualtrics.

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.

Laura Schmahmann

Instructor
City and Regional Planning

I am a PhD Candidate within the Department of City and Regional Planning at UC Berkeley. My dissertation explores the political economy of warehouse development across California, focusing on two case studies - the Inland Empire and North San Joaquin Valley. I am also a Graduate Student Researcher within the Labor Management Partnerships team at the UC Berkeley Labor Center. I hold a Bachelor of Planning (Honours Class 1) and Master of Philosophy (Planning and Urban Development) both from the University of New South Wales.