Diversity in Data

Diversity in Data topic

Disaggregating Race and Ethnicity Categories in Census Data

November 1, 2022

The collection of race and ethnicity data by the United States Census Bureau has a long, complex, and problematic history. The Census claims that their racial categories generally reflect a social definition of race recognized in America, adhering to guidelines set by the U.S. Office of Management and Budget. In 1900, the Census recognized five racial categories: White, Black, Chinese, Japanese, and American Indian. Today, the Census collects more...

Claudia von Vacano, Ph.D.

Consulting Drop-In Hours: By appointment only

Consulting Areas: Python, R,Digital Humanities, Mixed Methods, Natural Language Processing, Qualitative methods, Social Network Analysis, Surveys, Sampling & Interviews, Text Analysis,MaxQDA, Qualtrics

Quick-tip: the fastest way to speak to a consultant is to first ...

Spooky Microbiomes and the Curse of Dimensionality

October 25, 2021

Microbiomes are all the rage today and this trendiness is clear with the Human Microbiome Market predicted to be valued at more than 1 billion dollars by the year 2027 (up from 376 million in 2019).

With studies showing that our microbial community is associated with health outcomes, from regulating our brain chemistry and behaviors...

Working with Color Data: An Introduction to Colorspaces

October 19, 2021

For many of us, the colors a computer screen makes are of secondary importance: we would much rather have the screen adjust for the conditions — a bit less blue in the evening, a bit more brightness when it’s sunny — and have a crisp resolution. If the color is about right…it's good enough. For many professionals though, from photographers, to film producers, to Data Scientists, color can become an exacting and important field of study.

For a little backstory on color in general it is important to define why it’s so complex and how creating a...

What to do about Fairness in Machine Learning?

April 7, 2020

How many thousands of machine learning applications have been developed and gone to market in recent years? Feeding vast amounts of data into software to make decisions for us is a social paradigm the 21st century is embracing to the fullest.

I’m a graduate student of public health, but have a long history as a social worker, student of psychology, literature and the human condition. Since early childhood, one thing I have always been is a science fiction fanatic: human, and societal relationships with technology have fascinated me to the core since before I can remember.


Silence is Violence

June 4, 2020

Dear fellow scholars and community members,

We write this statement of solidarity, denouncing the murder of George Floyd in Minnesota and the ongoing oppression of Black Americans.

D-Lab mourns with millions across the country over the murders of George Floyd, Breonna Taylor, Ahmaud Arbery and so many other Black people killed at the hands of police. We denounce these horrendous events that are indicative of the systemic racism that is built into the fabric of our society and government. We call for the demilitarization of institutions of higher learning...

Imposter Syndrome in Data Science

January 19, 2021

I promised the D-Lab a blog post and then promptly felt unqualified to write it. (I wish that I were kidding.) Thus begins my ironic tale of imposter syndrome in data science.

Who am I?

As a new D-Lab Data Science Fellow and as a doctoral student in Rachel Morello-Frosch’s laboratory in the Department of Environmental Science, Policy, and Management at Berkeley, I work at the intersection of social theory, environmental epidemiology, and geography. Specifically, I research how institutional power manifests in the distribution of environmental monitoring...

Impactful Data Science: What I Learned Through Data Science For Social Good

November 4, 2020

It’s times like these when I like to think about how I can bring together all the technical work I like to do and the impact I want to make. As a Graduate Student in the Energy and Resources Group (ERG) focusing on the intersection of humans and climate, I thoroughly believe that the efforts to create a more just society require work across disciplines to tackle society’s most pressing issues. This led me to join the Data Science for Social Good (DSSG) program at the...