Take part in an international Datathon and compete against other participants in your category to measure your skills
We are looking for the best students and professionals in the use of Artificial Intelligence and data analytics technologies to solve challenges of business and social importance, involving the processing of large volumes of data. We encourage you to participate in the AI4ES 2022 Awards.
These awards will be granted in a Datathonformat: an on-line, time-limited competition in which participants must use their skills in artificial intelligence and/or data science technologies, along with their creativity, to build, test and explore a solution that addresses a real-world, data-based challenge.
TECNALIA, along with theCTIC, EURECAT, ITI technology centres form part of the Cervera AI4ES Network of Excellence, a network of excellence in enabling data-based technologies, in collaboration with Catalonia Government’s Department of Health and BASF, announce the AI4ES 2022 Datathon awards.
AI4ES Datathon characteristics
Participants:
This edition is open to individuals of legal age, either individually or in teams.
Target Audience
- Students or professionals in artificial intelligence technologies.
Challenges
Students, professionals or researchers have two challenges to choose from at the time of registration:
- Challenge 1: Drone imagery-based disease detection and quantification for crop protection
The aim of this challenge is to train a robust image regression model that processes images of individual agricultural plots and estimates the biological performance evaluation value of new crop protection products.
- Challenge 2: incidence and evolution of viral diseases
This challenge aims to move forward in improving the creation of predictive models capable of adjusting/predicting the future of COVID-19 progression.
Registration
- The deadline for registration is 25th November at 11.59pm.
- See the AI4ES 2022 Datathonrules, which also contain the description of each challenge and the corresponding datasets.
Deadline
The selected challenge must be resolved by 17th January 2023. A short descriptive report of the solution developed and an oral presentation to the AI4ES Jury will be required between 18th and 20th January 2023, depending on the slot assigned to each participant.