| Literature DB >> 29017856 |
John W Ramatowski1, Christopher Xiang Lee2, Aikaterini Mantzavino2, João Ribas3, Winter Guerra4, Nicholas D Preston5, Eva Schernhammer6, Lawrence C Madoff7, Britta Lassmann1.
Abstract
A hackathon is best described as an 'innovation marathon'. Derived from the words 'hacking' and 'marathon', it brings together multidisciplinary teams to collaborate intensely over a short period of time to define a problem, devise a solution, and design a working prototype. International scientific meetings are conducive to successful hackathons, providing an audience of expert professionals who describe challenges and ensure the proposed solutions address end-user needs. Collaborations with local organizations and academic centers are crucial to attracting complementary specialties such as IT advisors, engineers, and entrepreneurs to develop sustainable projects. The core process of first identifying and deconstructing a problem followed by solution iteration is applicable to challenges at workplaces around the world. Ultimately, this model can be used to drive innovation and catalyze change in the global health community. The planning, execution, and outcomes of a hackathon event organized in conjunction with the International Meeting on Emerging Diseases and Surveillance (IMED 2016) are described in this article. Physicians, public health practitioners, veterinarians, IT professionals, engineers, and entrepreneurs came together for 2days to develop solutions at the intersection of emerging infectious diseases and climate change. Projects that resulted from the IMED 2016 Hackathon included environmental impact assessment software for humanitarian organization relief efforts; enhanced communication tools to prevent disease outbreaks; a participatory mobile application to speed the elimination of rabies in Indonesia; integrated disease surveillance platforms; and an improved search function for infectious disease outbreak reports in the ProMED-mail network.Entities:
Keywords: Emerging infectious diseases; Hackathon; Infectious diseases; Innovation; Interdisciplinary; Medical meeting; Public health
Mesh:
Year: 2017 PMID: 29017856 PMCID: PMC7110634 DOI: 10.1016/j.ijid.2017.09.025
Source DB: PubMed Journal: Int J Infect Dis ISSN: 1201-9712 Impact factor: 3.623
Hackathon specific terms and definitions.
| Accelerator | Organization that provides financial and professional resources to develop an idea into a marketable program |
| Co-working space | Shared work space and tools used by different professionals, used to create programs |
| Hackathon | Gathering of multidisciplinary professionals to rapidly develop solutions to unmet needs in a short period of time |
| Hacker | A hackathon participant working to develop a prototype solution |
| Iteration | Refining and improving a program through expert feedback, guidance, and/or trial-and-error |
| Judge | A representative or professional with experience in a particular field designated to review and score prototype solutions at the end of the hackathon. Judges may work individually or as teams |
| Mentor | A professional with work experience and background knowledge who answers questions from hackathon teams and provides guidance during program development |
| Organic team formation | Process whereby hackathon attendees self-assemble into teams based on one of the proposed problems, based on mutual interests and skill sets |
| Problem pitch | Component at the start of a hackathon where a participant stands in front of attendees and verbalizes a problem they are interested in solving during the event |
| Pivot | Process where a proposed solution is heavily adapted or abandoned in favor of an alternative approach |
| Practice presentation | Session where hackathon teams can give their final presentation to mentors who suggest improvements |
| Venture capital | Funding provided by an organization or accelerator to develop a program beyond a prototype |
(A) Countries and counts represented by the 100 participants, mentors, and judges at the IMED 2016 Hackathon. (B) Self-identified professional field and counts for the 100 total IMED 2016 Hackathon participants.
| (A) | (B) | ||
|---|---|---|---|
| Countries represented (number of participants) | Professions represented (number of participants) | ||
| Albania (1) | Nepal (1) | Architect (1) | IT Professional (5) |
| Austria (24) | Netherlands (1) | Bioinformatics (2) | Mathematician (2) |
| Belgium (4) | Nicaragua (1) | Data scientist (12) | One Health specialist (1) |
| Bratislava (1) | Norway (1) | Developer (3) | Physician − MD (13) |
| Brazil (1) | Australia (1) | Engineer (3) | Physicist (1) |
| Canada (1) | Poland (1) | Entrepreneur (9) | Policy maker (1) |
| Chile (1) | Romania (2) | Epidemiologist (2) | Public health professional (21) |
| China (1) | Slovakia (2) | Graphic designer (1) | Researcher/scientist (11) |
| Finland (1) | South Africa (1) | User design (1) | Veterinarian − DVM (8) |
| Germany (5) | Spain (1) | Infection preventionist (1) | Writer (2) |
| Hungary (1) | Switzerland (2) | ||
| India (3) | Taiwan (3) | ||
| Malta (1) | Uganda (1) | ||
| Mexico (1) | UK (3) | ||
| Myanmar (2) | USA (32) | ||
Summary of the 12 projects developed at the IMED 2016 Hackathon. Each project was presented to a panel of five judges who scored the prototype solutions based on feasibility, innovation, scalability, and novelty. Judges deliberated to distribute monetary prizes and co-working space.
| Team name | Program summary |
|---|---|
| Footprint | Footprint is a Web platform that builds on existing energy calculators and emissions monitoring software to allow humanitarian organizations to easily assess the environmental impact of their operations. Integrating supply chain and logistics data, Footprint enables easy access to digestible information, allowing humanitarian practitioners to improve programming, ensure sustainability, and create metrics for success. Visit: |
| Puddle Predict – Real-Time Prediction of Malaria Epidemics | Puddle Predict aims to employ malaria predictive models, including real-time precipitation and temperature data, to predict the incidence of malaria. Puddle Predict will be integrated into the Uganda Ministry of Health malaria visualization dashboard. This software will inform key stakeholders as they facilitate appropriate targeting of resources for malaria control. Visit: |
| Dogemon | Using Indonesia as the pilot area, the Dogemon mobile application aims to identify unvaccinated dogs in the region through community-based participatory surveillance. App users report a dog that is unvaccinated, characterized by the lack of a red collar, and upload a picture of the canine via the Dogemon app. A veterinarian will receive a notification about the unvaccinated dog in their coverage area and can administer a vaccine. |
| #MeaslesSucks | #MeaslesSucks created an interactive online platform targeting expectant/young parents. Through graphic smart mapping, past measles outbreaks can be traced and the trail of disease can be plotted. Scenarios are created to improve the understanding of the importance of vaccination. Concepts such as herd immunity are discussed, in addition to a comparison between the naturally occurring disease and vaccine side-effects. |
| Hunters Helping Hunters | To protect the health and wellbeing of hunters and the greater population, Hunters Helping Hunters developed a two-part approach to reduce the risk of emerging diseases crossing species boundaries. Through a combination of personal protective equipment and accessible zoonotic disease information, zoonotic disease transmission events can be curtailed. Personal protective equipment would be distributed in kits to hunters, along with information on correct meat handling practices, donning/doffing procedures, and reporting methods for unusual findings. |
| Animal Village | Animal Village is an online mobile platform for rural animal caretakers, veterinarians, and public health officials. This platform allows anyone in a remote location to upload their animal health concern, with options for photo and video inclusion, connecting them to a network of professionals for immediate feedback. Animal Village stores traditional animal health knowledge in a directory for improved identification of animal disease outbreaks. |
| ProMED Mapper | Working in conjunction with the Program for Monitoring Emerging Diseases (ProMED), ProMED Mapper is a data visualization tool grouping infectious disease outbreak reports accumulated by the disease surveillance network. The software sorts the 53 000+ outbreak reports into relevant, related categories, and improves the user search experience. |
| Hacking Dengue | Hacking Dengue works to combine the information and efforts of individual scientists and organizations into one, centralized platform. With features such as outbreak mapping tools incorporating weather, demographic, and social media information, the open-access software can be used to identify outbreaks and connect the necessary resources to prevent outbreak propagation. |
| Outbreak Detection and Diagnosis System – ODDS | ODDS is a mobile-based survey tool that speeds informal diagnosis of medical conditions. With simplistic pictograms, users select a ‘yes’ or ‘no’ check when their symptom(s) appears on the survey, which generates a differential diagnosis. The diagnosis is accompanied by treatment recommendations and directs the patient to the nearest registered doctor for advanced treatment. |
| CAMY – Deep Learning for Early Outbreak Detection | CAMY is designed to predict disease outbreaks using social media and other existing channels of communication while connecting physicians and patients in under-resourced areas. Using temporal and spatial information, in conjunction with analysis of symptom keywords, the program allows earlier and improved accuracy in predicting outbreak events and the movement of diseases. |
| Multiplexed Early Warning System – MEWS | MEWS proposed a software toolkit that utilizes the many disease tracking models published in the literature combined with cost–benefit analysis of prevention and treatment options. The platform aims to optimize the outcomes of actions taken by governmental and other health-related organizations. |
| Q808 Wikidata | Q808 supports access to structured and open epidemiological data using the Wikidata platform, ensuring that all of the components are freely available to interested parties. |