Hackathon Models for Collaborative Innovation in Education and Health
Summary
Hackathons have emerged as accelerated, problem‐focused events that convene diverse participants to generate novel solutions within tight timeframes. Originating in software development, these intensive workshops now span education and health, emphasising learning through doing, cross‐disciplinary collaboration and rapid prototyping. In educational settings, hackathons foster creative thinking, peer learning and practical application of curricula in science, technology, engineering, arts and mathematics (STEAM) fields. In health care, they bring together clinicians, engineers, designers and patients to co-design interventions, digital tools and service models that address real-world clinical and public-health challenges. Key features include clearly defined themes or use cases, structured mentoring, gamified elements to sustain engagement and mechanisms to support project continuity beyond the event. Recent efforts have explored hybrid and fully virtual formats, enhancing global reach and inclusivity. While evaluation frameworks vary, studies point to benefits in innovation capacity, skill acquisition, network building and the translation of ideas into sustained ventures. Despite the diversity of formats, shared success factors include stakeholder alignment, careful logistical planning, interdisciplinary team composition and robust follow-up support to nurture promising concepts into lasting impact.
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Hackathon Models for Collaborative Innovation in Education and Health publication trend
The graph below shows the total number of articles in hackathon models for collaborative innovation in education and health across all publications each year (not limited to Nature Index journals).
Technical terms
Hackathon: A time-limited event in which participants collaborate intensively on predefined challenges to develop prototypes or solutions.
Gamification: The application of game-design elements, such as points, competition and rewards, to enhance participant motivation and engagement.
Interdisciplinary collaboration: Cooperative work that brings together individuals from different academic or professional backgrounds to address complex problems.
Open science: A model of research in which data, software and methodologies are shared transparently to accelerate discovery and reproducibility.
Systematic literature review: A structured approach to synthesising research findings across multiple studies, following predefined protocols to minimise bias.
References
- Teaching Principles of Medical Innovation and Entrepreneurship Through Hackathons: Case Study and Qualitative Analysis. JMIR Medical Education (2023).
- The IPDGC/GP2 Hackathon - an open science event for training in data science, genomics, and collaboration using Parkinson’s disease data. npj Parkinson's Disease (2023).
- How do we learn in and from Hackathons? A systematic literature review. Education and Information Technologies (2024).
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