Social Data Science
  • Syllabus
  • Calendar
  • Problem Sets
    • Problem Set 1: Code Basics
    • Problem Set 2: Visualization
    • Problem Set 3: Estimator and Bootstrap
    • Problem Set 4: Statistical Learning
    • Problem Set 5: Income Prediction Challenge
  • Piazza
  • Honors Section
    • Welcome
    • Asking questions with data
    • Accessing data
    • Preparing data
    • Sketching a visualization
    • Writing
    • Presenting orally
  • Extension Requests
  • Past Year Sites
  1. Home
  • Home
  • Getting Started
    • Research Questions in Social Data Science
    • Software Prerequisites
    • Basics of R
    • Visualizing a Distribution
    • Summary Statistics
    • Population Sampling
    • Confidence Intervals
  • Models for Subgroup Summaries
    • Linear Regression
    • Logistic Regression
    • Forests
    • Economic Opportunity Measured by Predictability
    • Sample Splitting
    • Data-Driven Estimator Selection
    • Are Complex Models Better?
  • Causal Inference with Measured Confounding
    • Defining Causal Effects
    • Exchangeability
    • Directed Acyclic Graphs
    • Matching
    • Models for Causal Inference
  • Causal Inference with Unmeasured Confounding
    • Difference in Difference
    • Regression Discontinuity
    • Instrumental Variables

Social Data Science

UCLA SOCIOL 114 (Winter ’26)

Together, we will use tools from data science to answer social science questions. As an area of application, we will focus on questions about inequality and social stratification.

Learning goals

As a result of participating in this course, students will be able to

  • connect theories about inequality to quantitative empirical evidence
  • evaluate the effects of hypothetical interventions to reduce inequality
  • conduct data analysis using the R programming language

Team

Ian Lundberg
ianlundberg@ucla.edu
(he / him)

Working with data to understand inequality brings me joy and meaning, as I first discovered as a college student years ago. I hope to share that joy with you! Other joys of mine include hiking, surfing, and oatmeal with blueberries.

Taylor Aquino
taquino7@g.ucla.edu
(she / her)

I use data to understand the experiences of multiracial people in the U.S., specifically their occupational attainment and dating outcomes. My hobbies include cooking, baking, and watching tv with my dog, Blue.

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Research Questions in Social Data Science