May
1
127 Corwin Hall
4:30 PM
Can students really be understood to have rights? Cases like Tinker, Pico, Goss, Morse, and Mahanoy attempt to present students as independent agents, architects of their educations and initiators of
Apr
24
127 Corwin Hall
4:30 PM
From its founding in 1914 to its height in the 1920s, the Universal Negro Improvement Association made elocution, public debate and recitation a central practice of the organization, signaling Garveyism’s
Apr
10
127 Corwin Hall
4:30 PM
Democratic elections are meant to express the political authority and agency of ordinary citizens: people who, despite lacking special virtues, knowledge, or resources, are able, and entitled, to govern themselves
Mar
27
127 Corwin Hall
4:30 PM
The prevailing approach in moral theory treats good samaritanism and attendant concepts like supererogation as issues within duty-based ethics. A samaritan is someone who “goes above and beyond” what a
Feb
6
127 Corwin Hall
4:30 PM
One of the most notorious features of the French ancien régime was the practice of venality of office -- that is, the buying and selling of state offices that often
Dec
6
127 Corwin Hall
12:00 PM
Title: Classification Algorithms & Social Outcomes Abstract: Classification algorithms are increasingly important in areas such as obtaining credit, employment, health care, housing, law enforcement, and national security. These classification decisions
Oct
11
127 Corwin Hall
12:00 PM
Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects Randomization inference (RI) is typically interpreted as testing Fisher's "sharp" null hypothesis that all unit-level
Sep
20
127 Corwin Hall
12:00 PM
Covariates in the eforensics Model Walter R. Mebane, Jr. Election forensics is the use of statistical methods to determine whether the results of an election accurately reflect the intentions of
Sep
13
127 Corwin Hall
12:00 PM
Factorial Difference-in-DifferencesDownload paper In many social science applications, researchers use the difference-in-differences (DID) estimator to establish causal relationships, exploiting cross-sectional variation in a baseline factor and temporal variation in exposure