Alpine Climate Data Challenge Context and Objectives The Alpine Climate Data Challenge is an international hackathon promoted by Open Data Playground (ODP) in collaboration with TELT, SoBigData, and other technological and scientific partners. The main objective is to develop innovative solutions for monitoring and mitigating the effects of climate change in the Maurienne and Susa Valleys through the use of Open Data, Machine Learning, and Data Visualization. SoBigData VRE: Space and Tools Supporting the Hackathon Environment Configuration The programming language to be used is Python. The provided environment is configured as follows: Each environment includes 6 cores, 32 GB of RAM, and 50 GB of storage. Python, PySpark, PyTorch, and TensorFlow are pre-installed, with their official images available on quay.io/jupyter. The code, adequately commented, must be reproducible within the computational resources provided by the organizers. Thanks to the collaboration with SoBigData, participants will have access to an advanced Virtual Research Environment (VRE), providing: Analysis of climate and environmental datasets sourced from open sources such as Copernicus, ERA5, ARPA Piemonte, M�t�o France, and NOAA. Advanced analytical tools for climate data processing, including Pandas, Scikit-learn, TensorFlow, and advanced climate models (e.g., WRF). Scalable computing resources for processing large volumes of data, with access to distributed computing infrastructures. Competition Structure February 22 - March 03, 2025: Online hackathon (8 days), with access to the SoBigData VRE platform for data management and analysis. Training and Support: Webinars and workshops on tools and methodologies for data analysis and low-code application development in Palantir Foundry. Final Onsite (March 12, 2025 - Turin, online): Pitch competition and awards ceremony with participation from scientific experts and corporate partners. Expected Outputs Participating teams will leverage the VRE infrastructure to develop: Local climate predictive models based on historical data and IPCC scenarios. Interactive dashboards for visualizing climate trends and future simulations. Monitoring and mitigation solutions supported by AI and data science. Benefits for Participants Access to cutting-edge data science technologies. Networking opportunities with companies and research institutions. Hands-on training with professional tools such as Palantir Foundry and climate predictive models. The integration with SoBigData VRE represents a unique opportunity for participants, allowing them to work on an advanced research infrastructure and develop real-world solutions to address future climate challenges.
