Python

Python Fundamentals Pilot: Parts 1-3

May 1, 2023, 2:00pm
This three-part interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Python Visualization

November 16, 2021, 1:00pm
For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter notebook.

Python Data Wrangling and Manipulation with Pandas (5pm-8pm)

March 29, 2022, 5:00pm
Pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real world data analysis in Python. In this workshop, we'll work with example data and go through the various steps you might need to prepare data for analysis.

Python Text Analysis: Topic Modeling

April 13, 2022, 3:00pm
In this part, we study unsupervised learning of text data. This is a stand alone work that builds from the two-part text analysis series.

CANCELED: Python Text Analysis: Topic Modeling

November 15, 2022, 12:00pm
In this part, we study unsupervised learning of text data. This is a stand alone work that builds from the two-part text analysis series.

Grace Hu

Data Science for Social Justice Fellow 2024
Bioengineering

Grace is a 3rd year Bioengineering PhD candidate in the joint UC Berkeley-UCSF Graduate Program. Her research lies at the nexus of computational design and 3D-bioprinting to advance tissue engineering for regenerative medicine. She previously studied Materials Science and Engineering (B.S.) and Computer Science (M.S.) at Stanford University, where she investigated printable batteries to power an ultra-affordable scanning electron microscope and explored computer science education research by developing AI models to augment teaching ability.

In her free time she...

Tracy Burnett

Data Science for Social Justice Fellow 2024
Department of Environmental Science, Policy, and Management

Tracy uses qualitative methods founded in complexity theory and hierarchy theory to model the interlinked scales of coupled social-ecological systems. She conducted the majority of her research among nomads in Amdo, Tibet. She works to develop both theoretical and technological tools that support linguistic diversity and cultural resilience.

Gabriela Paredes

Data Science for Social Justice Fellow 2024
Civil and Environmental Engineering

Gabriela is a second-year PhD student in the Geosystem program at UC Berkeley's Civil Engineering Department with a designated emphasis in Global Metropolitan Studies, working under the guidance of Professor Adda Athanasopoulos-Zekkos.

Her research explores infrastructure resilience and social vulnerability, focusing on how climate change impacts urban areas and affects marginalized communities. She integrates engineering solutions with social justice perspectives to enhance urban resilience and equity.

Nicole Cedillo

Data Science for Social Justice Fellow 2024

Valentina Flores

Data Science for Social Justice Fellow 2024
Berkeley Law's Jurisprudence and Social Policy Ph.D. Program

Valentina Flores is a first-year graduate student at Berkeley Law's Jurisprudence and Social Policy (JSP) Ph.D. Program. They hold a joint Political Science and Human Rights Bachelor of Arts (BA) Degree from Bard College. Before JSP, Valentina worked at various criminal justice nonprofits, most notably as an editorial Fellow for PEN America’s Prison and Justice Writing program.

Valentina has written about how practices of punishment and surveillance erode the civil rights of the formerly incarcerated and is broadly interested in spatial racism,...