MAS.S72 How to Write Academic Grant Proposals and Research Manuscripts
Dates: April 8- May 20
When: Thursdays 3-4 30 pm ET
MIT course numbers MAS.S72 Units: G (1-0-5)
Description: Designed for grant proposal and research publication student writers, this course presents a general overview as well as the level of detail for creating well-written scientific documents. Each component of the grant and research publication writing process will be addressed, including: documenting your laboratory research data and observations in LaTeX; writing measurable objectives; making high quality figures in Python and MatLab. Developing testable hypotheses and an empiric research plan to test them.
Course Goals: Prepare a complete grant proposal (computation + any field you are working in) to an agency of choice with the instructor. This includes a 1 page significance and specific aims section, 5 page research plan and a minimum 2 year $80,000 budget with multiple categories. Peer review (with the instructor) several examples of publicly posted prototype grant proposals. Participate in a mock online study section as reviewers of proposals from other students in the course and assign scores and prepare summary statements. Learn transferable skills for writing high-quality research papers.
- Hypothesis generation and testing
- Literature review for establishing significance, innovation and rigor of prior research
- Scientific writing
- Research design and data analyses
- Scientific peer-review process and response to reviewers
• The grant review process at funding agencies: Scientific program officer, Study sections and Council reviews.
• How to find, understand and navigate NIH, NSF and other government and non-profit funding announcements and eligibility criteria
• Biosketch vs. Curriculum vitae vs. Resume
• Demystification of codes R01, R21, K99, R00, T32, etc.
• How to read and understand grant guidelines and requests for proposals/applications (RFP/RFA) to match your research interests and projects
• Impact scores and percentiles and resubmissions
• Identifying specific topics from your research or course material and lectures to design a strategy for implementation of scientific writing and statistical methods, algorithms.
• Test, validate, and interpret results to be included in grant proposals or scientific publication.
Strategies for developing proposal outline: Abstract, Summary, Significance, Innovation, Approach and Bibliography
• Detailed research plan with power of statistical analyses and rigor of prior research