On June 22, 2022, participants of the MOOD Summer School will gather into multidisciplinary teams, which will be challenged to solve two technical tasks: the main objective involves the development and testing of classification approaches that will automatically identify text on Antimicrobial Resistance events and types of AMR issues in unstructured data, and classify these events by relevance for epidemic intelligence purposes.
Why a hackathon about AMR?
The emergence and spread of drug-resistant pathogens have led to antimicrobial resistance (AMR) now being considered a major public health concern. To date, AMR surveillance in Europe and elsewhere is mainly relying on indicator-based surveillance, involving structured data collection according to clear case definitions. Seeking to support the early detection, assessment, and monitoring of current and future AMR threats across Europe, the MOOD project aims to explore the opportunities of mining unstructured surveillance data including those from media sources.
How does it work?
In this hackathon, we will form interdisciplinary teams that will work collectively on a technical challenge. A task and a data corpus will be presented to your team on the day of the hackathon. Your team will be challenged to develop new technical solutions that will mine and/or visualise unstructured media data. The main objective of the task involves the development and testing of classification approaches that will automatically identify text on AMR events and types of AMR issues (e.g. animal, food, etc.) in unstructured data (e.g. news, tweets) and classify these events by relevance for epidemic intelligence purposes. Eligible methods will largely involve those covered during the summer school, but usage of methodology beyond those covered is more than welcome.
At the end of the hackathon challenge, your team will present the developed methodology and outcomes to a jury, accompanied by underlying arguments on what makes your solution innovative and efficient.
Instructors & Support staff
The hackathon is organised by CIRAD (Tetis Unit), INRAE and the Institute of Tropical Medicine (Belgium) in collaboration with OpenGeoHub.