Python

Python Web Scraping

March 28, 2023, 2:00pm
In this workshop, we cover how to scrape data from the web using Python. Web scraping involves downloading a webpage's source code and sifting through the material to extract desired data.

Python Text Analysis: Word Embeddings

April 11, 2024, 10:00am
How can we use neural networks to create meaningful representations of words? The bag-of-words is limited in its ability to characterize text, because it does not utilize word context.

Python Introduction to Machine Learning: Parts 1-2

April 25, 2022, 2:00pm
This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided.

Python Web Scraping

June 26, 2023, 2:00pm
In this workshop, we cover how to scrape data from the web using Python. Web scraping involves downloading a webpage's source code and sifting through the material to extract desired data.

Skyler Yumeng Chen

Data Science for Social Justice Fellow 2024
Haas School of Business

Skyler is a Ph.D. student in Behavioral Marketing at the Haas School of Business. Her research centers on consumer behavior and judgment and decision-making, with a keen interest in both experimental methods and data science techniques. She holds a B.A. in Economics and a B.S. in Data Science from New York University Shanghai.

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,...