D-Lab's workshops and consulting services are paused for the summer. Our core staff will be focusing on special projects and other endeavors. We look forward to seeing you in the fall and hope you have a great summer.
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...
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...
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...
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.
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...
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...
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...