Digital Humanities

Public Talk: Teaching Bias through Word Embeddings

May 16, 2022, 9:00am
This talk by guest speaker, Tom van Nuenen, discusses findings from the Discovering and Attesting Digital Discrimination project which focuses on biases in Machine Learning which proposed a data-driven approach to discover language biases encoded in the vocabulary of discourse communities on social media.

UC Berkeley Digital Humanities Fair

May 3, 2022, 1:00pm
The UC Berkeley Digital Humanities Fair is an annual event that offers the UC Berkeley community and beyond the opportunity to share projects at various stages of development, receive invaluable feedback from peers, and reflect on the field more broadly.
See event details for participation information.

Abhishek Roy

IUSE Undergraduate Advisory Board
Economics
Data Science

I'm Abhishek Roy and I'm double majoring in Economics and Data Science. I've been a part of D-Lab's IUSE project since Spring 2020 and have truly found an organization that is not only passionate about Data Science but also strives to expand its reach equitably to all communities. I am involved in Research and Project Management roles in various departments and labs at Berkeley and I'm an Editor at the Berkeley Economic Review. I love diving into anything at the intersection of Data Science, Economics, Business, and Computational Social Science. Whenever I'm free, I love writing...

Spencer Le

Data Peer Consultant, UTech
Computer Science
Data Science

I am a senior majoring in Computer Science and minoring in Data Science. I love crunching down big data and analyzing it in order to help solve real-life issues. In my free time, I like jamming out to music, drawing, studying history, and posting on my foodstagram. If you have any questions regarding Computer Science or Data Science, please stop by!

Anushah Hossain

Senior Data Science Fellow
Energy and Resources Group

Anushah's background is in history and economics and she is interested in questions of how technological and social trends inform one another. She uses the models and methods of these disciplines - theories of technological change, an eye towards historical contingencies, and familiarity with programming tools - to undergird her work. In the past she's studied how internet users make sense of barriers they encounter when accessing the web, how cellular communications alter the nature of village life in the Philippines, and how the South Asian diaspora finds...

Hilary Faxon, Ph.D.

Data Science Fellow
Environmental Science, Policy, and Management

Dr. Faxon is an ethnographer who uses social media and critical remote sensing to understand and reimagine social justice in technology, environment, and development in the Global South.

Erin Manalo-Pedro

Research Fellow
Community Health Sciences (UCLA)

Erin Manalo-Pedro is a Ph.D. student in the Department of Community Health Sciences at the UCLA Fielding School of Public Health with a minor in education. She focuses her racial health equity research on curriculum, the health workforce, and political interventions for communities of color. Drawing from Public Health Critical Race Praxis and Pinayism, she aims to use methods, like natural language processing and counter storytelling, to document the subtleties of structural racism and resistance from marginalized groups.

To guide her interdisciplinary approach, Erin leverages
...

Chun Ho Chow

Data Science Fellow
City and Regional Planning
Civil and Environmental Engineering

I'm a dual-degree MCP City Planning / MS Transportation Engineering student. My background is in physics, and I'm interested in understanding and modelling urban and regional systems, including their morphology/form, interactions, and fundamental dynamics, using complex systems and computational methods. I'm also interested in the emergence and evolution of social complexity, urbanism, and regional networks of cities.

Daphne Yang

Data Science Fellow
School of Information

Daphne is a current 5th-year graduate student at the School of Information with a keen interest in the intersection between healthcare and data science. She has prior work experience in the realm of public health, consulting, and research. Currently, she is a data science research intern at a DC consumer experience startup. She is particularly interested in how data can be used to power insights and help move society towards a more equitable future.

Adam Anderson, Ph.D.

Research Training Manager; Postdoc Lecturer
Digital Humanities

I’m an interdisciplinary data scientist, with a background in Middle Eastern languages (Hebrew, Arabic, and historical languages like Sumerian, Akkadian, Assyrian and Babylonian). I’ve worked in Syria, Lebanon, Israel, and Turkey with archaeological sites and museums. My technical skills include: translation and data storytelling, data forensics (3D imaging, mapping, modeling), computational linguistics (CTA, NLP, OCR), and network analysis (SNA). My roles on campus include: Research Training Manager of the Computational Social Science Training Program; Postdoc Lecturer...