Machine learning for sociology
Machine learning is a field at the intersection of statistics and computer science that uses
algorithms to extract information and knowledge from data. Its applications increasingly find …
algorithms to extract information and knowledge from data. Its applications increasingly find …
The past, present, and future of experimental methods in the social sciences
In the midst of the current causal revolution, experimental methods are increasingly
embraced across the social sciences. We first document the growth in the use of the …
embraced across the social sciences. We first document the growth in the use of the …
Racial discrimination in housing: How landlords use algorithms and home visits to screen tenants
E Rosen, PME Garboden… - American Sociological …, 2021 - journals.sagepub.com
An extensive literature documents racial discrimination in housing, focusing on its
prevalence and effect on non-White populations. This article studies how such …
prevalence and effect on non-White populations. This article studies how such …
Machine learning, artificial neural networks and social research
G Di Franco, M Santurro - Quality & quantity, 2021 - Springer
Abstract Machine learning (ML), and particularly algorithms based on artificial neural
networks (ANNs), constitute a field of research lying at the intersection of different disciplines …
networks (ANNs), constitute a field of research lying at the intersection of different disciplines …
[图书][B] An introduction to audit studies in the social sciences
SM Gaddis - 2018 - Springer
An audit study is a specific type of field experiment primarily used to test for discriminatory
behavior when survey and interview questions induce social desirability bas. In this chapter …
behavior when survey and interview questions induce social desirability bas. In this chapter …
Algorithmic auditing and social justice: Lessons from the history of audit studies
“Algorithmic audits” have been embraced as tools to investigate the functioning and
consequences of sociotechnical systems. Though the term is used somewhat loosely in the …
consequences of sociotechnical systems. Though the term is used somewhat loosely in the …
Natural experiments in leadership research: An introduction, review, and guidelines
Endogeneity is a serious challenge for leadership research. To overcome the problem,
researchers increasingly rely upon experimental designs, such as laboratory and field …
researchers increasingly rely upon experimental designs, such as laboratory and field …
Racial preferences for schools: Evidence from an experiment with White, Black, Latinx, and Asian parents and students
CA Hailey - Sociology of Education, 2022 - journals.sagepub.com
Most US students attend racially segregated schools. To understand this pattern, I employ a
survey experiment with New York City families actively choosing schools and investigate …
survey experiment with New York City families actively choosing schools and investigate …
[图书][B] Randomized control trials in the field of development: A critical perspective
In October 2019, Abhijit Banerjee, Esther Duflo, and Michael Kremer jointly won the 51st
Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel" for their …
Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel" for their …
Primer for Experimental Methods in Organization Theory
Experiments have long played a crucial role in various scientific disciplines and have been
gaining ground in organization theory, where they add unique value by establishing …
gaining ground in organization theory, where they add unique value by establishing …