Digital Humanities

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
Yue Lin
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.

Data for a Just U.S. - Using Data Science to Empower Marginalized Communities

September 3, 2024
Elijah Mercer
by Elijah Mercer. In this blog post, I share how working with marginalized communities through data science has transformed my understanding of the field. My journey from crime analysis to founding Data for Just US reveals the profound impact data can have when used to empower and uplift underserved populations. I explore the challenges and rewards of this work, illustrating how data science can drive social change and foster a more equitable future.

Deibi Sibrian

Data Science for Social Justice Fellow 2024
Deibi is a Ph.D. student in the Department of Environmental Science, Policy, and Management, centering critical interdisciplinary ecology and multispecies justice. Deibi coined the term "Cryptonocene," an interdisciplinary framework, to study the socio-environmental health impacts of cryptocurrencies and related technologies, such as AI. With over two years of experience as a graduate instructor, Deibi now is a Graduate Student Researcher, NSF Digital Transformation Fellow, and Mentored Research Fellow. Before joining Berkeley, Deibi was the project manager for an interdisciplinary team...

Megumi Tanaka

Data Science for Social Justice Fellow 2024
School of Journalism

I'm currently a graduate student in the AS&T program and the School of Journalism, conducting research in the field of AI ethics education. I'm interested in the intersection of data science, journalism and education!