IROKO

Environmental sciences combine various scientific disciplines to understand and address critical environmental issues such as climate change, pollution and biodiversity loss, and to develop sustainable solutions to preserve the planet’s ecosystems and resources. Today, the increasing production of observation and experimentation data in environmental sciences requires advanced data science skills and tools to manage, analyze, and interpret large-scale and complex datasets and make sense out of it. Data science focuses on extracting insights from data through pattern identification, outcome prediction, and process optimization. It is an interdisciplinary discipline that relies on well-established research fields such as machine learning, statistics, data mining, and data management, which need to work in synergy.

Iroko advocates an interdisciplinary scientific approach to address the challenges of environmental sciences by using and improving data science. This approach should have high impact on both data science, by proposing new solutions and new systems, and environmental sciences, by contributing to findings applied to real use cases in biodiversity, agriculture and one-health.