Intelligent research design for data intensive social science
Who we serve D-Lab helps UC Berkeley undergraduate students, 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!
by Victoria Hollingshead. FinTech promises to revolutionize financial inclusion by harnessing data science to reach populations historically excluded from formal financial systems. By analyzing digital footprints, mobile payments, and behavioral data, startups and financial institutions have the...Read more about Digitizing Inclusion: FinTech’s Promise and Pitfalls in the Global South
by Sohail Khan. Netflix knows what you like, but does it need to know your politics too? We often face a frustrating choice: share our data and be tracked, or protect our privacy and lose personalization. But what if there was a third option? This article begins by introducing the concept of the...Read more about Sharing Just Enough: The Magic Behind Gaining Privacy while Preserving Utility
by Amber Galvano. This tutorial builds on my previous post on Python for acoustic analysis, this time focusing on measuring vocal tract resonances without relying on sex-based assumptions. I demonstrate how to process audio files and vowel annotations using an adaptive method that optimizes the...Read more about Measuring Vowels Without Relying on Sex-Based Assumptions
by Ruiji Sun. We introduce and apply regression discontinuity to thermal comfort field studies, which are typically observational. The method utilizes policy thresholds in China, where the winter district heating policy is based on cities' geographical locations relative to the Huai River. Using...Read more about Causal Effect Estimation in Observational Field Studies of Thermal Comfort
