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Future Health Challenge: Building Anticipatory Health Systems through Population Sensing

Open Call for Proposals for Farm Safety, Health and Wellbeing Projects (Ireland)

Deadline: 23-Feb-2026

The Future Health Challenge 2026 is seeking technology-enabled solutions that improve predictive population health, disease surveillance, and AI-powered public health decision-making. Three winning teams will share USD 300,000 in prize funding, including a USD 200,000 grand prize. Eligible applicants must have at least a prototype-stage solution and attend the Abu Dhabi Future Health Summit (April 7–9, 2026).

Overview of the Future Health Challenge

The Future Health Challenge supports innovative, technology-driven solutions that enable predictive, proactive, and data-informed health systems.

The goal is to close the gap between health data collection and actionable insights, allowing governments, public health authorities, and frontline providers to respond earlier and more effectively to emerging health risks.

This global challenge prioritizes scalable solutions that strengthen health system resilience and improve population-level forecasting.

Core Focus Areas

Applicants must align their solution with one or more of the following priority areas:

1. Population Risk Forecasting

Develop digital and data-driven approaches to:

Capture early signals from communities

Monitor environmental and social determinants of health

Analyze frontline health system data

Improve predictive modeling of population health risks

2. Technology-Enabled Disease Surveillance

Strengthen early warning systems that can:

Predict infectious disease outbreaks

Forecast non-communicable disease (NCD) trends

Detect emerging health threats

Enhance surveillance systems through automation and analytics

3. Low-Tech and Community-Based Data Solutions

Develop accessible sensing and prediction models in fragile or underserved settings, including:

Low-tech or proxy data collection systems

Digitally supported community-based tools

Hybrid models combining traditional and digital approaches

4. AI-Powered Decision Support

Enable artificial intelligence systems that:

Transform fragmented and heterogeneous data

Produce interpretable, forward-looking forecasts

Support decision-making in public health and primary care

Enhance early intervention and preventive health strategies

Why This Challenge Matters

Health systems globally collect massive volumes of data. However, much of this data is underutilized due to fragmentation, lack of integration, or limited analytical capacity.

Recent advances in:

Artificial intelligence

Machine learning

Digital sensing technologies

Community-based data systems

create opportunities to shift from reactive to predictive health systems.

The Future Health Challenge aims to:

Link sensing data to predictive insights

Enable earlier interventions

Reduce disease burden

Strengthen outbreak preparedness

Ensure responsible data use, protecting privacy and minimizing surveillance risks

Prize Funding

A total of USD 300,000 is available:

USD 200,000 Grand Prize (1 team)

USD 50,000 Runner-Up Prize (2 teams)

The funding is intended to support scaling, deployment, and real-world impact of the selected solutions.

Who Is Eligible?

Solutions must meet the following criteria:

Be for-profit, non-profit, or hybrid models

Be technology-enabled

Be at prototype stage or beyond (prototype, pilot, growth, or scale)

Demonstrate real-world functionality and measurable impact potential

Be submitted in English

Have a Team Lead aged 18 or older

The Team Lead must be a CEO, Executive Director, Principal Investigator, or equivalent senior leader responsible for the solution.

What Counts as “Technology”?

Technology is broadly defined and may include:

Mobile applications

SMS-based systems

Software platforms

Artificial intelligence

Robotics

Drones

Blockchain

Virtual reality

Traditional, ancestral, or natural knowledge systems

Hybrid technological models

What Happens If You Are Selected?

Semifinalist teams must:

Attend the Abu Dhabi Future Health Summit

Dates: April 7–9, 2026

Pitch their solution during a dedicated session

Participate in the Innovation Zone

Represent their solution in front of global stakeholders

This event provides high-level exposure to policymakers, investors, researchers, and global health leaders.

How to Apply

Step 1: Confirm Eligibility
Ensure your solution meets the prototype-stage requirement and aligns with one or more focus areas.

Step 2: Prepare Your Application
Applications must:

Be written in English

Clearly describe the health problem addressed

Explain the technology used

Demonstrate real-world validation

Outline impact potential and scalability

Step 3: Identify the Team Lead
The Team Lead must hold a senior leadership role and be at least 18 years old.

Step 4: Submit Before the Deadline
Follow the official submission process outlined by the Future Health Challenge organizers.

Common Mistakes to Avoid

Submitting concept-only ideas without a functional prototype

Failing to demonstrate measurable impact

Providing unclear explanations of AI or technology components

Not addressing privacy and ethical considerations

Submitting incomplete leadership information

Overstating scalability without supporting evidence

Frequently Asked Questions (FAQs)

1. How much funding is available?

A total of USD 300,000 is available: one USD 200,000 grand prize and two USD 50,000 runner-up prizes.

2. Who can apply?

For-profit, non-profit, and hybrid teams with technology-enabled health solutions at prototype stage or beyond.

3. Is AI mandatory?

No. Solutions must be technology-enabled, but AI is one of many eligible technologies.

4. Do applicants need to travel?

Yes. Semifinalists are expected to attend the Abu Dhabi Future Health Summit from April 7–9, 2026.

5. What stage must the solution be at?

At minimum, prototype stage. Pilot, growth, or scale-stage solutions are also eligible.

6. Can community-based or low-tech solutions apply?

Yes, provided they are technology-enabled and capable of delivering predictive or surveillance impact.

7. What type of impact is expected?

Solutions must demonstrate measurable improvements in disease forecasting, population health prediction, or public health decision-making.

Conclusion

The Future Health Challenge 2026 seeks transformative, technology-enabled solutions that shift health systems from reactive crisis response to predictive, data-driven prevention.

With USD 300,000 in prize funding and global exposure at the Abu Dhabi Future Health Summit, this challenge provides a powerful platform for innovators working at the intersection of AI, digital health, and population risk forecasting to scale impact and strengthen global health resilience.

For more information, visit Future Health.

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