Problem Library
Research questions and problems facing the sector on responsible adoption of AI and LLMs.
AI Risk Profiling
Analyze public 990 data to identify patterns and insights related to AI usage risks and ethics. Develop guidelines and tools to ensure AI is used responsibly and ethically in the nonprofit sector.
Generosity Sentiment Monitoring
Utilize AI to analyze public sentiment and adapt engagement and communication strategies to align with public perceptions and sentiments, enhancing donations.
Evolving Knowledge Landscape
Creativity
Dataset Matching
Stakeholder Engagement
Predictive Resource Allocation
Implement AI models to predict future resource needs, optimizing allocation, reducing wastage, and enhancing the efficiency of service delivery.
RAG Analysis of IATI Data for Enhancing LLMs in Aid Transparency
Operational Inefficiencies
Nonprofits lack efficient tools and strategies to optimize operational and financial efficiency, impacting service delivery and donor trust.
AI & Generosity Knowledge Fragmentation
Create and utilize a scraper tool to organize the most relevant and up-to-date resources, creating a dynamic, user-friendly knowledge hub for nonprofits to stay informed and empowered.
Campaign Success
Unstructured – Insights
Ethical and Responsible AI Deployment
The sector lacks systematic approaches and guidelines to ensure ethical and responsible AI deployment, raising concerns about privacy, bias, and ethical considerations. AI can reproduce real-world biases and discrimination, how can we ensure we are
Ethical Standards
AI-Driven Framework for Community Inclusion Currencies
AI for Enhanced Mutual Aid Matching
Research Gaps Matrix
Generosity is a multidisciplinary field and one does not have a complete picture of how the fields overlap, the amount of research that exists, and their relationship to one another. Can AI help map the
AI Network Analysis
Vendor Synthesis
Privacy Concerns
990 Accessibility Enhancer
US-based non-profits file an annual from with the IRS (Form 990), which the IRS then makes available in an XML format. The form includes several important free-text fields, and filings often contain errors that make
Donor Engagment Enhancement
Develop AI models to personalize donor engagement strategies, utilizing data on past donations, preferences, and behaviors to offer tailored communication and donation options.
AI to Interrogate Causality
AI Optimization of ROSCAs
Combatting Homelessness Through Predictive AI
Data Engineering Assistance
Reporting
AI-Assisted Language Preservation for Indigenous Communities
Bill Analysis
Predictive Generosity Modelling
This project is dedicated to refining the predictive modeling of giving behaviors. By training an AI model on a combination of GivingPulse data, stock market trends, and significant world events, the project aims to uncover
Extracting Process and Outcome-Related Learnings
Crafting Good Prompts for the Sector
AI for Optimizing Community Resource Sharing
Academic Literature Flagging
AI Analytics for Community Foundation Grant Allocation
Crises and generosity sentiments
Can we generate insights on how a crisis situation impacts peoples’ behaviours/perceptions of solidarity/generosity post crisis?
Real-Time Impact Visualization
Leverage AI to offer donors real-time visual insights into the impacts of their contributions, enhancing trust and encouraging increased donations.
AI Translation & Localisation
Barriers to Communicating Impact
Nonprofits face challenges in providing real-time, tangible insights into the impact of donations, resulting in decreased donor trust and contribution.
Financial Sustainability
Data to Knowledge
Understanding Generosity in all its Forms
Science-based Iterative Monitoring
LLM Self-Pollution
Resource Allocation Challenges
The absence of predictive analytics and collaborative networks leads to resource misallocation and operational inefficiencies, hampering service delivery.
Contextualizing Data
Enhancing Educational Equity with AI
LLM’s optimized for nonprofits don’t yet exist
This project involves fine-tuning LLMs with FEP data and related reporting to analyze and interpret complex datasets, translating them into actionable insights and recommendations for nonprofits.
AI-Powered Risk Assessment in Microfinancing Initiatives
Knowledge and Insight Gaps
Nonprofits struggle with scattered, unorganized, and inaccessible data, hampering informed decision-making and strategy formulation.
Non-profit collaboration and networking
Utilize AI to create a platform for non-profits to identify collaboration opportunities, share resources, and enhance service delivery efficiency.
Relationship between gift matching & individual giving
Can we look at how matching donations inspire/motivate individual giving?
Mitigating AI Anxiety
AI in Wildlife Trafficking Interception
Mapping new funders (philanthropic orgs and DAFS) in a specified cause area
An organization is looking to conduct research on philanthropic funders and donor assisted funds that it might not be aware of. This organization does not have resources to engage with fundraising consultants or to hire
Translating Data to Existing Standards
Enhanced CRMs
Generosity Text-Mining
Academic and para-academic literature is rich with descriptions of culturally-specific behaviour. Many of these traditions and practices were studied in contexts far removed from thoughts of generosity, but still have relevance for our understanding of
Non-Profit Efficiency Insights to Action
Aiming to create a dynamic tool that analyzes operational and financial data, offering actionable insights for nonprofits to optimize efficiency, build donor trust, and enhance funding.
AI for Cultivating Youth Generosity Movements
Knowledge Management
Engagement Shortfalls
A lack of personalized and data-driven engagement strategies reduces donor retention and contribution levels, leading to missed opportunities in maximizing donations.