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The Montpellier Institute of Data Science (ISDM) works to bring about lasting change in scientific practices by guiding all stakeholders toward data science and building an effective and sustainable environment. Unite, Innovate, Support The ISDM supports scientific projects in their entirety through an integrated and collaborative approach by offering: Training tailored to all levels, Hands-on scientific and technical support, Facilitation of networks and events that promote the exchange of knowledge. Our Initiatives Project Support We develop support mechanisms tailored to the needs of scientific communities: Data Clinic: an innovative support service for researchers, doctoral students, engineers, and students. A scientific help desk is available to provide concrete support for community projects: personalized advice, assistance with resolving technical issues, and help in overcoming specific roadblocks. The clinic can also actively collaborate with researchers to co-develop solutions tailored to their needs. Targeted Expertise: Our engineers provide expertise in (bio)informatics, (bio)statistics, artificial intelligence, FAIR data management, and more. Learn More Skills-Building Training The short training courses offered by the ISDM are designed to support the evolution of practices in the management, analysis, and utilization of research data. They are designed for all professionals—researchers, engineers, doctoral candidates, or students—who wish to acquire or strengthen key skills in data science. Each session combines a practical approach, accessibility, and scientific expertise, focusing on three main themes: Artificial Intelligence: Explore the fundamentals and practical applications of AI through introductory and targeted training courses. Computing and Reproducibility: Hands-on workshops to master the fundamental tools of collaborative development and ensure the reproducibility of scientific analyses. Statistics, Data Management, and Analysis: Training courses to introduce or advance skills in statistical methods applied to data science. Learn More Data Services ISDM facilitates access to high-performance technical environments: Digital Services: shared computing platforms, secure cloud, data anonymization tools, data-sharing tools, data analysis tools (notebooks), etc. Best Practices: support for the use of standards, metadata schemas, and data structuring. Activities and Events MBI (Montpellier Bioinformatics): a network of local bioinformatics stakeholders that promotes exchanges, training, and shared resources. Les Halles de l’IA: a space for innovation and science outreach dedicated to artificial intelligence, at the intersection of science, society, and interdisciplinarity. A venue for experimentation, training, and public debate bringing together experts, expert and novice users, decision-makers, students and teachers, and the general public.