Dr. Andrew Flachs

Associate Professor

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Biography

Andrew Flachs is an Associate Professor in the Department of Anthropology at Purdue University, specializing in Environmental Anthropology, Political Ecology, Agriculture, Qualitative Methods, Food Studies, Ethnobiology, and Alternative Agriculture. His research focuses on food agriculture systems, examining topics such as genetically modified crops and heirloom seeds. Andrew's work investigates ecological knowledge, technological change, and agricultural systems in diverse regions, including North America, the Balkans, and South India. He has received his Ph.D. from Washington University in St. Louis in 2016, and he joined Purdue University in 2017. His collaboration with farmers spans various agricultural contexts, from urban gardens in Cleveland to GM cotton fields in India. Andrew's research is recognized in numerous peer-reviewed publications and has received grants from organizations including the National Geographic Society and the American Institute of Indian Studies. He has been awarded eight international accolades for his contributions to the field, cementing his status as a leading anthropologist in agricultural studies.

Research Interests

Experience

Associate Professor

2017-01-01 — Present

Purdue University • West Lafayette, IN

Teaching and researching in the Department of Anthropology focusing on agricultural systems and environmental anthropology.

Courses

Introduction Anthropology Food, Culture, Power Colonialism, Globalization, Food Justice Ethnographic Writing Ethnographic Research Methods Public Engagement

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.