Millions of people around the world suffer from dementia and mental illness. We exist to end this suffering are funding breakthroughs in research, treatment, and collaboration made possible by autonomous AI agents.
Grant Objectives
Our AI4Good grants support projects that bring AI into the fight against dementia and mental illness to by:
- Speeding Up Discoveries for Treatment and Prevention: By automating complex research tasks, AI agents reduce the years and resources needed to uncover effective therapies, bringing hope faster to people whose conditions currently have no cure.
- Making Clinical Trials More Accessible and Effective: With AI-driven tools that streamline patient recruitment and data analysis, clinical trials can become quicker, more inclusive, and more reflective of real-world outcomes—paving the way for treatments that are truly life-changing.
- Transforming Data into Insights that Drive Healing: By developing systems that can merge and analyze data from different sources, AI can reveal patterns and insights crucial to understanding, treating, and even preventing dementia and mental health crises. These tools make it easier for doctors and researchers to find answers that might otherwise stay hidden.
- Uniting Organizations in a Coordinated Effort to End Suffering: Our grants empower AI frameworks that support collaboration between research institutions, nonprofits, and government agencies, helping them share resources, insights, and strategies to fight these diseases with unified strength and resolve.
Public Impact
The AI4Good projects we support are dedicated to easing the pain and loss felt by those affected by dementia and mental illness. Every breakthrough brings us closer to a world where families no longer have to watch their loved ones fade or battle relentless mental anguish. These grants are building the future of treatment, prevention, and care so that fewer people will suffer the devastating effects of these illnesses.
Core Mission
To develop AI-powered systems that catalyze transformative partnerships across sectors, specifically focused on:
- Accelerating research and treatment for dementia and mental illness
- Scaling evidence-based interventions through strategic partnerships
- Amplifying successful programs by connecting complementary capabilities
- Driving policy advocacy through data-driven insights
Role and Vision
AI-Driven Ecosystem Mapping
- Systematically catalog the needs, capabilities, and resources across:
- Healthcare providers and research institutions
- Mental health advocacy organizations
- Government health agencies
- Pharmaceutical and biotech companies
- Technology companies
- Community organizations
- Individual advocates and patients
Strategic Partnership Development
- Design algorithms to identify high-impact collaboration opportunities
- Create systems for sharing best practices and avoiding duplication
- Enable rapid scaling of successful interventions through intelligent matching
- Facilitate knowledge transfer between research and implementation
Impact Measurement and Optimization
- Develop metrics to track collaboration effectiveness
- Create feedback loops for continuous improvement
- Measure and optimize resource allocation across partnerships
- Track patient outcomes and program effectiveness
Qualifications
Technical Expertise
- Advanced degree in Computer Science, AI, or related field
- Strong background in machine learning and data science
- Experience with healthcare or medical research data systems
- Proficiency in developing secure, scalable systems
Domain Understanding
- Familiarity with healthcare systems and mental health challenges
- Understanding of nonprofit, government, and corporate sectors
- Experience with multi-stakeholder collaboration
- Knowledge of healthcare policy and regulations
Leadership and Communication
- Proven ability to work across diverse stakeholder groups
- Strong project management and coordination skills
- Excellence in technical and non-technical communication
- Commitment to ethical AI development
Implementation Approach
Drawing from Forces for Good principles, the role will focus on:
- Working with Government: Develop systems to identify and facilitate policy advocacy opportunities and public-private partnerships
- Market Forces: Create mechanisms to align profit motives with social impact in mental health initiatives
- Evangelistic Movement: Build tools to support grassroots advocacy and volunteer engagement
- Networks: Design systems to nurture and leverage networks of nonprofits, researchers, and healthcare providers
- Adaptive Leadership: Implement feedback systems to continuously evolve strategies based on outcomes
Desired Outcomes
- Accelerated research translation into practical treatments
- Increased access to mental health services
- Improved coordination between care providers
- Reduced duplication of efforts
- Measurable improvement in patient outcomes
- Sustainable funding models for mental health initiatives
Application Process
Required Materials
- GitHub portfolio showcasing relevant projects
- Cover letter addressing:
- Vision for AI in mental health transformation
- Experience with cross-sector collaboration
Submission
Send applications to hello@crowdsourcingcures.org
Selection Process
- Initial portfolio and letter review
- Technical assessment
- Stakeholder panel interviews
- Final presentation of vision and approach
Join us in leveraging AI to transform how we address dementia and mental illness through unprecedented collaboration and strategic partnerships.