With help from our partners at Zoetis, we have created an infographic that summarises the main outcomes generated from the event.
- 51 applicants (doubled of our initial target), from 11 countries
- 5 innovative submissions delivered (exceeding our initial expected number of three)
- 3 winners and 2 runner ups
- £2400 delivered in prizes (£2000 from the IAA, and £400 in website building vouchers obtained by one of the organisers)
- 11 mentors
- 3 judges
- 8 partners (up from an initial number of 4)
- 250K+ open data points provided
- A dedicated digital channel for participants to communicate (Slack)
- A powerful data visualisation platform for participants to use exclusively during the event (Open Data Soft)
Winning entries were chosen by a panel of judges from Surrey and Zoetis, following a scoring matrix designed specifically for the event on vision, impact, participation and scalability.
First prize went to ‘Retriever’, a solution that looked at how veterinary professionals can continue to see patients during the current pandemic and explored the effects of closing veterinary practices on local communities.
Second prize was awarded to ‘TRAX’, an ideated global animal disease dashboard to monitor outbreaks of illnesses and their intersection with humanity. Third prize went to the ‘easyWalkies’, an app to create a community of dog walkers in urban areas, with special benefits in times of Covid-19.
Runners-up included ‘Pet Lighthouse’, an app to take control your pet’s health records, receive prescriptions from across the country, find walks and activities near you, and get tips and advice for your pet. And ‘Cats Japan’, a digital cat litter box solution that monitors urine volumes to help identifying health anomalies in domestic cats.
Other outcomes
Collaboration. The event was a successful cross-disciplinary collaboration that gathered academic partners within and outside the University of surrey and the industry as follows.
- Academia: within the University of Surrey, we continue to build bridges and work collaboratively between the Vet School and the Business School, mainly via the vHive and Surrey We also collaborated with the University of Exeter, who contributed mentors to the event.
- Industry: in addition to Zoetis—the biggest Vet pharma in the world—we got on board three other Open Data Soft, who contributed with the provision of their platform free of charge for the event; Virtual Recall, a digital marketing company in the Vet space who contributed with anonymised datasets for the event, and Medical Detection Dogs, an NGO in the Vet space who contributed with specific problem to solve.
Overall, this was a big success for us, given the short timings to organise the event, which demonstrates the potential to grow industry collaborations even further in the future.
Capacity building. Participants gained knowledge on how to work in a rapid manner, with exposure to a team of highly qualified mentors that guided the outcomes. All three winners recognised this, as it was their first experience in a Hackathon. Participants also benefited from feedback from mentors and judges for winning entries.
The event also resulted in capacity building for some academic staff involved as well, some of who have herd of a hackathon but never actively participated in one. As a result, the event was a real capacity building exercise not only for participants but for academic and industry staff not exposed to this sort of innovation contests. Among other things, they understood the basics on how to design it (for example, around challenges, and specific questions), the role of prizes to attract participants, the importance of communication pre, during and post event and the basics on running a digital campaign via PR channels.
Recognition and Exposure. The event offered a unique opportunity to develop projects individually or alongside teams, gain insights from highly qualified mentors from the vHive and partners, and to get exposure to a panel of high-profile judges. All three winning teams highlighted these as valuable reward and recognition.
Ecosystem generation. This is something we are proud of. We wanted to put the vHive and partners on the map, and we feel we have created the first successful steps. Not only in terms of the participants we gathered in the event but also in the collaborations we fostered within and across the university and industry.
Lessons learned and future
By all means the event was very positive. Even so, there were things that we could improve for the future. Running the event in such short time (4 weeks) limited our capacity to reach out more partners and more participants. We would have liked to have provided more unique open datasets from partners, but the limited time, plus regulations around personal data (i.e. GDRP) constrained our ability to do so.
Regarding the hackathon dynamics, our initial idea of forming teams to work remotely was something that particularly didn’t work. While we assigned teams as best as we could, the fact that team members where either busy or working in different time zones ended in individuals working on their own, instead of with teams. While this is not necessarily bad, we realised that working with a team you do not know in advance may be easier/more suitable for face to face innovation contests. If virtual, teams should be formed in advance and encourage to interact before the event starts.
Last, we got repeated feedback from participants that while they would have loved to join, the context of the pandemic made it very hard to engage as planned. While this was out of our control, we anticipated this could be a challenge given the current circumstances of the pandemic.
Overall, the event confirmed the validity of the event strategy to do both, come up with real, scalable solutions for a world problem and to ignite an ecosystem of innovators around Vet data and practice. The success in this event confirms our longer-term plans of contributing to more impactful activities. The overall aim is to demonstrate the value of open data in the industry to help foster research and innovation. We have already started plans to apply for bigger IAA grants and to seek for funding from other research bodies to help us build the first Vet open data innovation platform in the world.