Slow Data: Building intentionality and accessibility to environmental data science and forecasting 

• Location: Fields Institute, Room 230
• Workshop Leads:
• Antoinette Abeyta, University of New Mexico, Gallup
• Rachel Torres, University of New Mexico, Gallup
• Abstract: This workshop will share examples of slow data science - activities developed to build foundational data science skills to lay the groundwork for future ecological forecasting analyses. These activities make data science education more intentional and accessible for historically underrepresented students, thereby supporting a welcoming environment for all students. 

Making Forecasts Usable: Open-Science Decision Support with SyncroSim 

• Location: Fields Institute, Room 309
• Workshop Lead:
• Alessandro Filazzola, ApexRMS
• Abstract: This workshop introduces SyncroSim as an open-science platform built for decision support. By reframing applied ecological forecasting around both communication and model complexity, this workshop will equip participants to bridge the gap between research and decision making.

Introducing the sdmModelEvaluationTool: an open source tool for soliciting and learning from expert evaluation of (bird) species distribution and abundance models 

• Location: Fields Institute, Room 210
• Workshop Leads:
• Josie Hughes, Environment and Climate Change Canada
• Elly Knight, University of Alberta
• Péter Sólymos, Analythium Solutions Inc.
• Juan Zuloaga, University of Alberta
• David Hope, Environment and Climate Change Canada
• Abstract: The Northern Ontario Bird Modeling Working Group is developing a tool to elicit, synthesize and learn from expert evaluations of (bird) species distribution models. This hands-on workshop will introduce the tool and invite discussion about further development.