Digital Humanities

Concepts and Measurements in Social Network Analysis

October 22, 2024
by Christian Caballero. We live in an interconnected world, more so now than ever. Social Network Analysis (SNA) provides a toolkit to study the influence of this interconnectivity. This blog post introduces some key theoretical concepts behind SNA, as well as a family of metrics for measuring influence in a network, known as centrality. These concepts and measurements help form the basis for a theoretically informed study of social relationships in an era where the availability of relational data has dramatically increased thanks to technological advances.

The Case for Including Disability in Social Science Demographics

October 15, 2024
by Mango Jane Angar. As we celebrate Disability Awareness Month at the D-Lab alongside the UC Berkeley scholarly community, how can we, as social scientists, individually promote accessibility and inclusion? To advance accessibility, we should focus on addressing the barriers faced by individuals with disabilities, using our research to provide insights for effective policy recommendations. Although most of us do not focus on disability-related issues, including disability as a demographic characteristic in our data collection can greatly enhance our understanding of diverse populations and improve the comprehensiveness of our analyses. This small step can contribute to broader efforts toward inclusion and social equity.

MAXQDA Fundamentals

October 18, 2024, 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.

Digital Humanities Working Group (October 2024)

October 7, 2024, 1:00pm
The UC Berkeley Digital Humanities Working Group is a research community founded to facilitate interdisciplinary conversations in the digital humanities and cultural analytics. Our gatherings are participant driven and provide a place for sharing research ideas (including brainstorming new ideas and receiving feedback from others), learning about the intersection of computational methods and humanistic inquiry, and connecting with others working in this space at Berkeley.

Causal Inference in International Political Economy: Hurdles and Advancements

September 9, 2024
by Yue Lin. What are the key challenges and opportunities of applying experiments in the International Political Economy (IPE) research? In this blog, I reviewed an enduring methodological battle between statistics and experiments, and pointed out that the difficulties of randomization and locating credible counterfactuals have served as main hurdles for IPE scholars to widely adopt experimental tools. However, I further demonstrated some new progress in applying survey, field, and lab experiments in the recent IPE scholarship. I concluded that it is crucial for future researchers to think innovatively about how to combine different research methods to make causal claims in IPE studies.

Stephanie Andrews

Availability: By appointment only

Consulting Areas: Python, SQL, HTML / CSS, Javascript, APIs, Databases & SQL, Data Manipulation and Cleaning, Data Science, Data Sources, Data Visualization, Digital Humanities, Machine Learning, Natural Language Processing, Software Tools, Text Analysis, Web Scraping, Bash or Command Line, Excel, Git or Github, Tableau

Manish Kumar

Availability: By appointment only

Consulting Areas: Python, R, Javascript, C, C++, APIs, Databases & SQL, Data Manipulation and Cleaning, Digital Humanities, Software Tools, Git or Github, MATLAB, RStudio

Iñigo Parra

Availability: By appointment only

Consulting Areas: Python, R, LaTeX, Data Manipulation and Cleaning, Data Science, Data Visualization, Deep Learning, Digital Humanities, Machine Learning, Natural Language Processing, Social Network Analysis, Regression Analysis, Means Tests, Bash or Command Line, Excel, Gephi, Git or Github, Qualtrics, RStudio, Overleaf

Claudia von Vacano, Ph.D.

Availability: By appointment only

Consulting Areas: Digital Humanities, Mixed Methods, Qualitative methods, Surveys, Sampling & Interviews, MaxQDA, Career Development

Stephanie Andrews

Consultant
Info & Data Science MIDS

Stephanie Andrews is currently studying data science in the MIDS program, having previously majored in Social Welfare as an undergraduate at Cal. After graduating, she worked as an advocate for survivors of gender-based violence, as a public policy analyst focusing on anti-trafficking initiatives, and as a software engineer for progressive and social impact organizations. She is now conducting research with the Human Rights Center's Investigations Lab, using OSINT and data science methods to investigate human rights violations.