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Dr SR Neethirajan

1 year ago

Harmonizing Mi'kmaq and First Nations Wisdom with Digital Innovation for Enhanced Animal Welfare Dalhousie University in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Fully Funded

Deadline

Expired

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Country

Canada

University

Dalhousie University

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Where to contact

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Keywords

Computer Science
Machine Learning
Agriculture
Crop Science
Artificial Intelligence
Veterinary Science
Animal Welfare
Livestock Management

About this position

This research project aims to integrate the traditional knowledge and practices of the Mi'kmaq and other First Nations communities within Nova Scotia with advanced artificial intelligence technologies to improve animal welfare. By actively learning from these Indigenous communities, the project seeks to understand their deep-rooted insights into animal behavior, ethical treatment, and sustainable farming practices. These invaluable perspectives will guide the design and implementation of AI technologies—such as ML models for monitoring livestock health and well-being—to create solutions that are both culturally respectful and technologically innovative. The goal is to harmonize ancestral wisdom with modern digital tools, enhancing animal welfare while fostering sustainable agriculture. Central to the study are ethical considerations, community engagement, and the co-creation of knowledge, bridging traditional practices with cutting-edge technology for the betterment of animals and farming communities alike.

Accepting: PhD and MCS students

Express your interest in working with Dr. Suresh Neethirajan .

When contacting us about your interest in a particular professor or fellowship, please include your:

  • Research interests
  • Past research experience
  • Recent CV

Dalhousie's Faculty of Computer Science offers competitive funding to qualified graduate students and is committed to promoting excellence in research and teaching.

Funding details

Fully Funded

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