I wanted to share an exciting funding opportunity by the Bill & Melinda Gates Foundation for projects that leverage Artificial Intelligence (AI), with a focus on low- and middle-income countries (LMICs). This funding opportunity aims to harness the power of Large Language Models (LLMs), including ChatGPT-4, to address challenges and generate evidence in various sectors.
Applications for this funding opportunity opened just last week and will close on June 5, 2023. Given the short timeline, there is a high likelihood of limited competition, presenting an excellent chance for smaller, scrappier organizations to secure funding.
- The foundation encourages proposals led by investigators based in LMICs.
- Projects should demonstrate clear applications of LLMs, engage relevant stakeholders, exhibit scalability potential, and emphasize responsible use and sustainability.
- Funding grants of up to $100,000 per project are available, with a total budget allocation of up to $3,000,000.
- The duration of each project will be three months, offering an opportunity to execute impactful initiatives efficiently.
- With the available funding, the foundation has the potential to support up to 30 projects!
I think the incorporation of ChatGPT-4 is of particular significance since Microsoft invested $10 billion into ChatGPT.
Thanks and Shameless Plug:
I first heard about this funding opportunity thanks to Cameron King from Animal Advocacy Africa through the Impactful Animal Advocacy slack group, which you can join here. It's been a great platform for innovative/cross-discipline/international collaboration in all areas of animal advocacy and I highly recommend joining if this sounds appealing to you.
Example Project Ideas (from ChatGPT4) to Kickstart Creative Thinking:
- AI-Driven Market Analysis: A significant AI grant could enable organizations coordinating cage-free egg campaigns to leverage advanced machine learning algorithms for market analysis. By analyzing vast amounts of data, including consumer preferences, purchasing patterns, and industry trends, AI could provide valuable insights into target demographics, identify potential barriers, and help develop effective messaging strategies to promote the adoption of cage-free eggs.
- LLM-Enhanced Supply Chain Optimization: With LLM-powered natural language understanding capabilities, organizations could leverage AI to analyze textual data from supply chain networks, including supplier contracts, transportation logistics, and inventory management systems. This AI-driven analysis would enable optimized decision-making, improved coordination, and more efficient supply chain management (say for cage-free eggs or malaria bednets), ensuring their availability and accessibility to interested parties.
LLM-Assisted Policy Advocacy: With the power of LLMs, organizations can analyze vast amounts of legislative documents, policy reports, and public discourse related to certain subjects. By employing AI techniques like topic modeling and sentiment analysis, organizations could identify key policy influencers, track public sentiment, and develop evidence-based arguments to advocate for policies that promote human and animal well being.
- AI-Enhanced Financial Inclusion Solutions: Leverage LLM capabilities to develop AI-driven tools that facilitate financial access and empower underserved populations in LMICs to manage their finances effectively.
- AI-Enabled Data Analytics for Impact Evaluation: A significant AI grant could support the implementation of advanced data analytics tools and techniques by NGOs. They could leverage AI algorithms to analyze large datasets, including epidemiological data, to gain insights into the impact of their interventions. This would enable them to assess the effectiveness of different strategies, identify areas for improvement, and make data-driven decisions to optimize their efforts.
- AI-Assisted Early Warning Systems: The Against Malaria Foundation could develop AI-based early warning systems to detect potential malaria outbreaks in real-time. By utilizing machine learning algorithms and integrating data from various sources such as weather patterns, mosquito population dynamics, and epidemiological data, they could create predictive models that alert authorities and communities about impending risks. This would facilitate proactive measures, such as intensifying vector control activities and improving healthcare preparedness, to mitigate the impact of malaria outbreaks.
- AI-Driven Decision Support Tools: With the help of an AI grant, NGOs could develop decision support tools that assist policymakers and health professionals in making evidence-based decisions. By integrating AI capabilities into data visualization platforms and creating user-friendly interfaces, they could provide accessible insights and recommendations regarding resource allocation, intervention strategies, and long-term planning to empower stakeholders to make informed choices and optimize their efforts.
A Final Note:
As the funding landscape in the effective altruism world continues to shift towards AI alignment/safety, it becomes increasingly important for global health and animal welfare charities to explore alternative funding sources. This opportunity from the Gates Foundation can serve as a valuable step towards diversifying funding streams and supporting impactful projects in LMICs.