The competition is now Closed.
Event Organisers and Sponsors
Bringing together academia and industry we have joined power with :
Overview
Big data will enable animal health and veterinary science to embark on information technology-driven discoveries to face daunting challenges such as adaptation to climate changes, mitigation of environmental impacts, and developing epidemiological models on current and emerging diseases. With that, the rapid development of artificial intelligence (AI) models is expected to revolutionise human and veterinary medicine, whilst having a multitude of beneficial uses in animal health science.
The 2024 Competition will run from
the 2nd October 2024 to 10th December 2024
Objectives
The competition is seeking applications that address novel uses of the LEO data on livestock, and which leverage approaches in AI, data sciences, and statistics. Such applications can address any of the following objectives:
- Develop prediction models, visualization tools and infographics
- Identify hidden patterns
- Explore the potential of artificial intelligence
- Create chatbots and virtual consultancy (for farmers, vets, consortia/associations and scientists)
- Promote the development of big open data use in livestock
- Stimulate innovation development in animal health AI
- Reinforce collaboration between academia, industry and society within and across countries
- Strengthen multidisciplinary collaboration
Specific proposals (including but not limited to):
- Identify hidden patterns
Utilize big data analytics to identify hidden patterns, trends and correlations in livestock health exploiting the LEO data repository.
- Innovative visualization tools and infographics
Propose innovative visualization tools and infographics to present Livestock data in an accessible, actionable and meaningful format (by breed, farm, geographic area, etc.)
- Predict welfare in dairy cattle
Create models to predict welfare in dairy cattle based on productive and reproductive performances data, environmental factors, and genetic information stored in LEO data.
- Risk of diseases in dairy cattle by using AI and machine learning
Explore the potential of AI and machine learning to estimate the risk of diseases in dairy cattle exploiting LEO data.
- Development of chatbots
Develop chatbots and virtual consultancy for different types of stakeholders (farmers, vets, consortia/associations and scientists) querying the LEO data.
Who can apply?
Any individual or team that has an interest in (but not limited to) animal and veterinary sciences, digital health, data visualization, machine learning and AI models.
FREE ENTRY
Competition Timeline
2nd October, 2024
Online webinar
2nd October, 2024
Competition Registration opens
14th November, 2024
Competition closes- Submission deadline
15th November, 2024
Evaluation phase opens. Appointed panel of Judges reviews submissions
15th November, 2024
Participant voting opens
20th November, 2024
Participant voting closes
21st November, 2024
Winning Projects Notified
10th December 2024
Hackathon Event at Surrey University, UK
The winners will also be invited to attend and present at the LEO event. Date and Location TBD
The Data
The Livestock Environment Open Data Project (LEO) has created a unique worldwide linked open data on Italian livestock that contains more than 15 billion triplets (ID-Data-Measure) generated, among others, including:
30,074,112 dairy and beef cattle
6,242,945 sheep
1,328,356 goats
Data are collected routinely on 18,194 livestock farms.
Data is available on the following:
- Dairy and Beef Cattle
- Sheep and Goats
- Pigs
- Horses
- Buffaloes