Prepare
Before you submit
All proposals must be reviewed and approved by the appropriate academic or administrative executive prior to submission. Your proposal should
- Include funding from the unit
- Align with the Penn State Strategic Plan
- Align with the EDGE mission
- Demonstrate measurable outcomes and assessment methods
- Show a clear need for funding
- Include a compliant budget
- Explain how the project may become sustainable over time
What your proposal must include
Every proposal needs five components:
-
Statement of Need
Describe the identified gap or opportunity, supported by disaggregated data where possible. -
Program Description
Explain the goals, activities, target population, and timeline. -
Theory of Change or Logic Model
Show how activities are expected to produce measurable outcomes. -
Assessment Plan
Include specific outcomes, data collection methods, analysis plans, and reporting. -
Equity Outcomes Metrics
Provide at least one measurable indicator in one or more of the domains listed below.- Faculty and staff professional development, engagement, and interdisciplinary collaboration that advances equity, belonging, and opportunity
- Student access, college transition, college success, persistence, graduation, and research participation
- Broader unit or institutional equity outcomes
Outcomes and impact
Proposals should clearly explain:
- Program outcomes, such as number of participants served, lectures created, or partnerships built across disciplines, units, and communities
- Learning outcomes, such as increased ability to define implicit bias, foster inclusive leadership or communication, or identify campus resources
- The intended impact of the program
- How impact will be measured
Budget and funding guidance
Your budget submission should be
- Aligned with the proposed program activities
- Compliant with EDGE guidelines
- Supported by unit funding
- Realistic and feasible
Note that funding priority may be given to projects that
- Demonstrate feasibility
- Include strong assessment and evaluation plans
- Incorporate responsible AI-supported data analysis, if AI is used
- Show potential for institutionalization