grant-writing-guide

# 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