Environmental Science Research Program

Week 1:

Week 2:

Students conduct a systematic review of academic and scientific literature, using tools like Google Scholar and reference management software (e.g., Zotero). They critically analyze gaps in the existing research and refine a specific, actionable research question aligned with their selected topic.

Week 3:

Week 4:

Students engage in data collection activities, such as conducting field surveys, analyzing soil or water samples, or using remote sensing imagery. Tools like environmental monitoring kits, spectrophotometers, and online GIS platforms (e.g., ArcGIS) are employed. Virtual simulations are provided for students unable to conduct fieldwork. The mentor will complete a mid-point evaluation to be given to the student.

Week 5:

Students organize and clean their collected data using tools such as Microsoft Excel, R, or Python for data manipulation. They learn basic statistical analysis and graphical representation to identify trends and patterns, with mentor guidance on preliminary interpretations.

Week 6:

Students analyze their findings in relation to global environmental challenges, such as the UN Sustainable Development Goals. They explore the use of tools like policy analysis frameworks and mapping software to identify implications for policy or community action.

Week 7:

Students begin drafting key sections of their research paper, such as methodology, results, and analysis. The mentor provides feedback on academic writing, emphasizing clarity, argumentation, and the use of citation tools like EndNote or Mendeley.

Week 8:

Students finalize their research paper, addressing mentor feedback and refining their arguments and conclusions. The mentor will complete a final evaluation to be given to the student. They discuss how their findings contribute to the broader environmental science field and consider future research directions.