Grant Writing Guide

A skill for preparing competitive research grant proposals. Covers proposal structure, writing strategies, budget preparation, and common evaluation criteria used by major funding agencies (NSF, NIH, ERC, NSFC).

Proposal Structure

Generic Proposal Template

Most funding agencies require these core components:

1. Cover Page / Project Summary (1 page)
   - Title (concise, descriptive, no jargon)
   - PI name, institution, co-PIs
   - Total budget and duration
   - Abstract (250 words)
   - Keywords (5-8)

2. Project Description / Research Plan (10-15 pages typically)
   a. Introduction and Background
   b. Specific Aims / Research Questions
   c. Research Design and Methods
   d. Timeline and Milestones
   e. Expected Outcomes and Significance
   f. Broader Impacts (NSF) / Societal Relevance

3. Literature Cited / References

4. Budget and Budget Justification

5. Biographical Sketches / CVs

6. Data Management Plan

7. Facilities and Equipment

8. Supplementary Materials (letters of support, etc.)

Writing the Specific Aims

The Critical First Page

The specific aims page is the most important page of any NIH-style proposal. Reviewers often form their opinion based on this page alone.

python
def specific_aims_template(project_info: dict) -> str:
    """
    Generate a specific aims page structure.

    Args:
        project_info: Dict with 'problem', 'gap', 'approach', 'aims', 'impact'
    """
    template = f"""
SPECIFIC AIMS

[Opening paragraph: The big picture problem]
{project_info['problem']}

[Gap paragraph: What is unknown/unsolved]
{project_info['gap']}

[Approach paragraph: What will you do and why]
{project_info['approach']}

The long-term goal of this research is [long-term vision].
The objective of this proposal is [specific objective].
The central hypothesis is [testable hypothesis],
based on [preliminary data / rationale].

The following specific aims will test this hypothesis:

Aim 1: {project_info['aims'][0]['title']}
  {project_info['aims'][0]['description']}
  Hypothesis: {project_info['aims'][0]['hypothesis']}

Aim 2: {project_info['aims'][1]['title']}
  {project_info['aims'][1]['description']}
  Hypothesis: {project_info['aims'][1]['hypothesis']}

[Impact paragraph]
{project_info['impact']}
"""
    return template

Budget Preparation

Common Budget Categories

python
def create_budget(personnel: list[dict], equipment: list[dict],
                   travel: list[dict], other: list[dict],
                   indirect_rate: float = 0.55,
                   years: int = 3) -> dict:
    """
    Create a research budget with indirect costs.

    Args:
        personnel: List of {'role', 'salary', 'effort_pct', 'fringe_rate'}
        equipment: List of {'item', 'cost'}
        travel: List of {'purpose', 'cost_per_year'}
        other: List of {'item', 'cost_per_year'}
        indirect_rate: F&A rate (decimal)
        years: Project duration in years
    """
    budget = {'years': {}}

    for year in range(1, years + 1):
        year_budget = {'categories': {}}

        # Personnel (with annual salary increases of 3%)
        personnel_total = 0
        for person in personnel:
            salary = person['salary'] * (1.03 ** (year - 1))
            cost = salary * person['effort_pct'] / 100
            fringe = cost * person['fringe_rate']
            personnel_total += cost + fringe

        year_budget['categories']['personnel'] = round(personnel_total)

        # Equipment (Year 1 only for major items)
        equip_total = sum(e['cost'] for e in equipment) if year == 1 else 0
        year_budget['categories']['equipment'] = equip_total

        # Travel
        travel_total = sum(t['cost_per_year'] for t in travel)
        year_budget['categories']['travel'] = travel_total

        # Other direct costs
        other_total = sum(o['cost_per_year'] for o in other)
        year_budget['categories']['other'] = other_total

        # Modified total direct costs (MTDC excludes equipment >$5000)
        mtdc = personnel_total + travel_total + other_total
        if equip_total < 5000:
            mtdc += equip_total

        # Indirect costs
        indirect = mtdc * indirect_rate
        year_budget['categories']['indirect'] = round(indirect)

        year_budget['direct_total'] = round(
            personnel_total + equip_total + travel_total + other_total
        )
        year_budget['total'] = round(
            year_budget['direct_total'] + indirect
        )

        budget['years'][year] = year_budget

    budget['grand_total'] = sum(y['total'] for y in budget['years'].values())
    return budget

# Example budget
budget = create_budget(
    personnel=[
        {'role': 'PI', 'salary': 120000, 'effort_pct': 20, 'fringe_rate': 0.30},
        {'role': 'Postdoc', 'salary': 56000, 'effort_pct': 100, 'fringe_rate': 0.25},
        {'role': 'PhD Student', 'salary': 34000, 'effort_pct': 50, 'fringe_rate': 0.10}
    ],
    equipment=[{'item': 'GPU server', 'cost': 15000}],
    travel=[{'purpose': 'Conference attendance', 'cost_per_year': 3000}],
    other=[
        {'item': 'Publication charges', 'cost_per_year': 2000},
        {'item': 'Cloud computing', 'cost_per_year': 5000}
    ],
    indirect_rate=0.55,
    years=3
)

Evaluation Criteria by Agency

NSF Review Criteria

| Criterion | Weight | Key Questions | |-----------|--------|---------------| | Intellectual Merit | ~50% | Does it advance knowledge? Is the approach sound? | | Broader Impacts | ~50% | Societal benefit? Education? Diversity? Infrastructure? |

NIH Review Criteria (Scored 1-9)

| Criterion | Key Questions | |-----------|---------------| | Significance | Does it address an important problem? | | Investigator(s) | Are PI and team qualified? | | Innovation | Novel approaches or concepts? | | Approach | Is the strategy well-reasoned and feasible? | | Environment | Does the institution support the work? |

Timeline and Milestones

Gantt Chart Data Structure

python
def create_project_timeline(aims: list[dict], total_months: int = 36) -> list[dict]:
    """Create a project timeline for a grant proposal."""
    timeline = []
    for aim in aims:
        for task in aim['tasks']:
            timeline.append({
                'aim': aim['name'],
                'task': task['name'],
                'start_month': task['start'],
                'end_month': task['end'],
                'milestone': task.get('milestone', ''),
                'deliverable': task.get('deliverable', '')
            })
    return timeline

Common Mistakes to Avoid

1. Overly ambitious scope: Reviewers can tell when 3 years of funding is covering 10 years of work
2. Weak preliminary data: Show feasibility with pilot results
3. Vague methods: Specify exact techniques, sample sizes, and analysis plans
4. Missing contingency plans: Address "what if" scenarios for risky approaches
5. Budget-narrative mismatch: Every budget item must connect to the research plan
6. Late submission: Submit at least 24 hours before the deadline to avoid system crashes
7. Ignoring reviewer feedback: If resubmitting, address every prior critique explicitly