Dr. Daniel Mcfarland

Professor

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Biography

Daniel McFarland is a Professor of Education at the Stanford Graduate School of Education, holding courtesy appointments in Sociology and Organizational Behavior. His research focuses on the intellectual and social dynamics within educational systems such as schools and universities, emphasizing classroom organization, interaction, adolescent relationships, and the formation of social structures and identities. He has engaged in interdisciplinary collaborations which encompass linguistics, computer science, and sociology, particularly focusing on big data and social network methodologies to advance the study of innovation. McFarland leads significant research on the sociology of science, examining processes related to knowledge diffusion and the impact of identity and diversity in academic careers. His ongoing work includes exploring the interplay between innovative ideas and their dissemination within scientific communities, while also developing new methods for understanding how established concepts can be revitalized in contemporary contexts. Additionally, he has played a pivotal role in fostering computational social science on Stanford's campus, underlining the intersection of education and data science.

Research Interests

Courses

EDUC 317 SOC 317W EDUC 120 EDUC 320 SOC 330 STS 200Q SOC 392 EDUC 480 EDUC 180 ENVRES 398 EDUC 490 EDUC 190 ENVRES 399 SOC 391 SOC 390 EDUC 140 EDUC 185 CME 400 CME 391 EDUC 470 SOC 395 URBANST 199 SOC 196 EDUC 380 SOC 191 SOC 190 SOC 192 EDUC 316 SOC 369 EDUC 472 SOC 325 EDUC 312 SOC 224B

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.