Beyond 2030: Build the World You Want to Live In

About the challenge

IEEE Hack for Humanity is a hybrid hackathon hosted by the IEEE Charlotte Section Computer Society: an online Devpost submission and judging stage, followed by an in-person finalist presentation and final judging round the following week.

Introduction

Why this Hackathon?

The technologies that will shape life beyond 2030 are being designed today. The challenge is not simply to build more technology, but to build technology that helps people make better decisions, work more effectively, trust the systems around them, participate more fully, and use resources more intelligently.

IEEE Hack for Humanity creates a collaborative environment where participants can experiment with ideas, challenge conventional approaches, and turn meaningful problems into practical prototypes. The emphasis is on innovation with purpose: combining imagination with engineering discipline and considering not only what can be built, but also who benefits, what risks emerge, and what it would take to make the solution useful in the real world.

What Is the Goal?

• Encourage innovation around meaningful human, organizational, community, and sustainability challenges.
• Explore emerging technologies and new ways of solving problems.
• Promote responsible, trustworthy, accessible, and practical technology design.
• Foster collaboration across disciplines, experience levels, industries, and communities.
• Create prototypes and ideas that can continue beyond the event.

What Are We Building?

Participants will design and demonstrate a solution aligned with one of the five challenge tracks. Solutions may take the form of software applications, AI systems, data products, decision-support experiences, accessibility tools, real-time intelligence platforms, prototypes, simulations, or other technically credible concepts.

Teams should balance creativity with practicality by explaining implementation considerations, expected value, risks, constraints, scalability, and adoption. The objective is not merely to showcase technology; it is to demonstrate how technology can support a better future.

Inspiration

The examples below are prompts, not restrictions. Participants are encouraged to define their own problems and approaches within the selected track.

Track 1 - Fintech Application: Data to Decision

Fintech Organizations and communities often have abundant data but limited ability to turn it into timely action. Reimagine how people discover what matters, understand why it matters, and know what to do next.

Example directions:

• Decision-support systems that turn complex operational data into prioritized actions
• Intelligent alerts that reduce noise and explain why an issue matters
• Knowledge graphs or contextual search that connect fragmented information
• Natural-language interfaces for complex financial data
• Visual or conversational experiences that explain trends, anomalies, or trade-offs
• Systems that measure whether recommended actions actually improved outcomes

What strong entries demonstrate: A strong submission should demonstrate the path from raw information to insight to a concrete decision or action.

Track 2 - AI for Accessibility and Disability Inclusion

Build AI solutions that help people with disabilities navigate everyday life, communicate, learn, work, and participate more independently. Projects should address a clear accessibility need and reflect the experiences and preferences of the people they aim to support.

Example directions:

• Communication: Speech assistance, accessible captioning, or tools for people with speech or hearing disabilities.
• Vision and navigation: Describe surroundings, read documents, or support navigation for blind and low-vision users.
• Cognitive accessibility: Simplify complex information, break tasks into manageable steps, or support memory and focus.
• Mobility and interaction: Voice, gaze, or adaptive controls that make digital tools easier to use.
• Inclusive learning and work: AI assistants that adapt content and workflows to individual accessibility needs.

What strong entries demonstrate: A strong submission should show the following:

• A clearly defined user need, supported by user input or credible research.
• A working prototype showing how AI meaningfully improves the experience.
• Accessible design that users can control and customize.
• Thoughtful handling of privacy, errors, and situations where AI is uncertain.
• Evidence of practical benefit, such as improved task completion, reduced effort, or greater independence.

Track 3 - Geospatial Intelligence for Action

Use geospatial data (data linked to geographic locations) to understand a pressing societal or environmental issue, and build a software solution that helps decision-makers determine where to take action. Projects should turn location data into clear, place-based decisions, not just static maps.

Example directions:

• Climate and disaster resilience: Map flood, heat, wildfire, or storm risk to prioritize preparedness, evacuation planning, or relief.
• Public health and equity: Identify areas with limited access to healthcare, food, transit, or clean water, and show where new resources would help the most.
• Environment and sustainability: Track air quality, tree canopy, land use, or emissions to find hotspots for intervention.
• Infrastructure and mobility: Analyze roads, transit, utilities, or housing to decide where to repair, expand, or invest.
• Community and emergency services: Help agencies, nonprofits, or residents choose locations for shelters, clinics, charging stations, or outreach.

What strong entries demonstrate: A strong submission should show the following:

• A clearly defined issue and decision-maker, with a specific question about where action is needed
• Credible geospatial data sources (such as satellite imagery, census, public agency, sensor, or open map data), with data quality, resolution, and limitations explained
• A working prototype that turns location data into a ranked or mapped recommendation of where to act, not just a visualization
• Transparent methods, including assumptions, scoring criteria, and uncertainty, so users can understand and challenge the results
• Thoughtful handling of location privacy, data gaps, and fairness, especially for underserved areas, along with evidence of practical impact, such as people reached, risk reduced, or response time improved

Track 4 - Power & Energy: Engineering a Sustainable Future

The future of energy depends on how effectively we generate, store, distribute, and utilize electricity. As renewable energy adoption accelerates and electricity demand grows, communities and industries face new challenges involving energy affordability, grid reliability, sustainability, and energy access.

Reimagine how emerging technologies, intelligent control, data analytics, and innovative engineering approaches can transform modern power and energy systems. Develop solutions that support a cleaner, more resilient, efficient, and accessible energy future.

Example directions:

• Renewable Energy Integration: Develop solutions that improve the integration of solar, wind, and other renewable energy resources into existing power systems.
• Smart Grids and Grid Resilience: Explore intelligent grid monitoring, fault detection, outage prediction, and technologies that improve power system reliability and recovery.
• Energy Storage and Battery Technologies: Design innovative approaches to battery management, energy storage optimization, battery health monitoring, and coordination with renewable generation.
• Microgrids and Energy Access: Create solutions for reliable and affordable electricity access, particularly for underserved or remote communities.
• Electric Mobility and Charging Infrastructure: Explore smart EV charging, vehicle-to-grid technologies, and renewable-powered transportation infrastructure.
• Energy Efficiency and Sustainability: Develop solutions to reduce energy waste, optimize electricity consumption, improve power conversion efficiency, or reduce environmental impact.

What strong entries demonstrate: A strong submission should show the following:

• A clearly defined power or energy challenge with identifiable users, stakeholders, and real-world significance
• Credible technical foundations supported by energy datasets, engineering calculations, simulations, physical models, or experimental evidence
• A working prototype, simulation, or software solution that demonstrates the proposed innovation
• Measurable benefits such as improved efficiency, energy savings, reduced costs, enhanced reliability, increased renewable energy utilization, or reduced emissions
• Consideration of technical feasibility, scalability, safety, economic viability, and practical implementation constraints

Track 5 - Intelligent Systems: Robotics, Automation & Physical AI

Artificial intelligence is rapidly moving beyond digital applications into the physical world, where machines, robots, and autonomous systems can perceive their surroundings, make decisions, and interact with real environments.

Explore how robotics, intelligent automation, embedded systems, sensors, and Physical AI can transform industries, improve safety, enhance accessibility, and solve meaningful human and societal challenges.

Build solutions that connect sensing, intelligence, and physical action, enabling machines and systems to operate more autonomously, safely, efficiently, and collaboratively with people.

Example directions:

• Autonomous Robotics: Develop robotic systems capable of navigation, object recognition, manipulation, or autonomous decision-making in dynamic environments.
• Physical AI and Embodied Intelligence: Explore AI systems that combine perception, reasoning, and physical interaction to perform real-world tasks.
• Intelligent Industrial Automation: Design solutions for predictive maintenance, automated inspection, intelligent manufacturing, or adaptive process control.
• Human-Robot Collaboration: Develop technologies that enable robots and humans to work together safely and effectively in workplaces, healthcare, or everyday environments.
• Assistive and Service Robotics: Create robotic or automated solutions that support elderly individuals, people with disabilities, healthcare workers, or community services.
• Edge AI and Embedded Intelligence: Implement AI models on embedded devices, microcontrollers, or edge computing platforms for real-time sensing, decision-making, and control.

What strong entries demonstrate: A strong submission should have the following:

• A clearly defined real-world problem where robotics, automation, or Physical AI provides meaningful value.
• A technically credible approach integrating sensing, intelligence, decision-making, and physical action or a simulated equivalent.
• A working prototype, robotic demonstration, simulation, or embedded system that demonstrates the proposed functionality.
• Measurable performance indicators such as task completion accuracy, response time, operational efficiency, reliability, safety, or reduced human effort.
• Consideration of real-world operating constraints, including hardware limitations, computational requirements, system reliability, safety, and human interaction.
• A practical path toward deployment, scalability, and responsible use of autonomous technologies.

Hybrid Event Flow

1. Build & Submit: Participants submit the project/proposal, prototype evidence, and supporting materials through Devpost by the deadline.
2. Online Judging: A judging panel evaluates eligible submissions using the published 100-point rubric.
3. Finalist Selection: Top-scoring submissions are invited to present in person the following week. Finalist count is set by organizers.
4. In-Person Final: Finalists present and demonstrate their work to an on-site judging panel. Final-round scores determine winners.

• Judging Criteria
  Projects are judged on impact/problem relevance (25), innovation (20), technical feasibility (20), trust/ethics/risks (15), scalability/reusability (10), and ease of implementation/adoption (10). Total: 100 points.