Intelligent research design for data intensive social science
Who we serve D-Lab helps Berkeley graduate students, faculty, and staff move forward with world-class research in data intensive social science and humanities.
What we do D-Lab assists the Berkeley community with the full range of research development, research design and data acquisition. We offer guidance in statistical methods and results to data visualization and communication.
Who we are D-Lab is comprised of scholars who create a learning community that teaches workshops and offers consultations. Join us!
From paper to vector: converting maps into GIS shapefiles
GIS is incredibly powerful: you can transform, overlay, and analyze data with a few clicks. But sometimes the challenge is getting your data into a form to be able to use with GIS. Have you ever been stuck on...Read more about From paper to vector: converting maps into GIS shapefiles
Acquiring Genomic Data from NCBI
Genomic data is essential for studying evolutionary biology, human health, and epidemiology. For example, genomic data is used to track the...Read more about Acquiring Genomic Data from NCBI
A Brief Introduction to Cloud Native Approaches for Big Data Analysis
Monitoring technologies (e.g., satellites, smart phones, acoustic recorders) are creating vast amounts of data about our earth every day. These data hold promise to provide global insights on everything from biodiversity patterns to vegetation change at increasingly fine spatial...Read more about A Brief Introduction to Cloud Native Approaches for Big Data Analysis
Can Machine Learning Models Predict Reality TV Winners? The Case of Survivor
Since its creation in 2000, the show Survivor has dropped approximately 20 contestants in a remote location and forced them to hunt for their own food and build their own shelter. While a test of physical endurance, the social dynamics and strategy are what make the show stand out from...Read more about Can Machine Learning Models Predict Reality TV Winners? The Case of Survivor
Twitter Text Analysis: A Friendly Introduction, Part 2
The code for this blog post is available in this GitHub repository. You can also follow along in this ...Read more about Twitter Text Analysis: A Friendly Introduction, Part 2