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Mr. Seion Richardson
Lecturer (Part-time)
Department of Agriculture

 

Qualifications:

  • Diploma in Agriculture (General) - GUYANA SCHOOL OF AGRICULTURE. Guyana.
  • Bachelor of Science Degree in Agricultural Science (General) - UNIVERSITY OF GUYANA. Guyana.
  • Advanced Training and Research in the field of Marine and Inland Waters Resource Monitoring and Assessment - UNITED NATIONS UNIVERSITY. Iceland.
  • Master of Science in Environment and Natural Resources, Marine Resource Management - UNIVERSITY OF ICELAND. Reykjavik Iceland.
  • Fish Population Dynamics (Graduate Level Course) - UNIVERSITY OF FLORIDA. United States of America.
  • Certificate in National Training of trainers’ workshop on climate information and community-based early warning system. United Nations Development Programme.
  • Certificate in The implementation of post-state measures and Training on statistical data analysis for evidence-based policymaking. Food and Agriculture Organization.
  • Certificate in The Implementation of Port and Flag State Measures to combat Illegal, Unreported and Unregulated (IUU) Fishing. Food and Agriculture Organization.
  • Certificate in Integrated livelihood baseline and damage and loss assessment for disaster risk management in agriculture. Food and Agriculture Organization.

 

Research Interests:

  1. Investigating sustainable management strategies for aquatic ecosystems, with a focus on understanding the interplay between environmental factors and fish populations to inform conservation efforts.
  2. Exploring data-driven approaches to address environmental challenges in marine resource management, utilizing advanced statistical techniques such as R programming for analysis.
  3. Conducting interdisciplinary research to assess the health and resilience of marine and inland water resources, integrating ecological, social, and economic data for comprehensive insights.
  4. Designing and implementing monitoring programs to track changes in biodiversity, water quality, and ecosystem services in response to anthropogenic pressures and climate variability.
  5. Developing decision support tools and management strategies to optimize resource use, mitigate environmental risks, and foster sustainable agricultural practices through data-driven innovation.