
Biodiversity Risk Assessment for Europe
This tutorial provides a comprehensive overview of the Biodiversity Risk Assessment for Europe, developed as part of the BIOFIN-EU project. It covers the methodology, including species projection, land use and land cover forecasting, and risk assessment, all powered by machine learning techniques. This material is designed to help users understand the integrated framework for identifying and scoring biodiversity-related risks to support strategic decision-making for biodiversity finance.

A Practical Guide to Counterfactual Methods for Evaluating Nature-Based Solutions
This guide supports Nature-based Solutions (NbS) practitioners, private investors, and evaluation specialists in selecting and applying robust impact evaluation methods. It emphasizes the importance of counterfactual approaches to ensure impacts are truly attributable to interventions, using forest carbon credits in the Voluntary Carbon Market as a key example. The guide is structured in two parts: an overview of counterfactual methods and their relevance, followed by a step-by-step guide to designing and implementing these evaluations in real-world NbS contexts.

FAIR Data Principles and Metadata: or Why Build Ontologies
This tutorial introduces the FAIR Data Principles—Findable, Accessible, Interoperable, and Reusable—and their application to Nature-based Solutions (NbS) and scientific data management. It walks you through key concepts like metadata and ontologies, explaining why they matter and how to use them to make data machine-readable and shareable. Through real-world examples and semantic web technologies (e.g., RDF, OWL, SPARQL), it demonstrates how to structure and label data effectively to support collaboration, transparency, and reuse across platforms and institutions.

Using Social Network Analysis (SNA) to Assess Governance iIssues in the Implementation of Nature-based Solutions (NbS)
This tutorial explains how Social Network Analysis (SNA) can be used to assess governance challenges in implementing Nature-based Solutions (NbS). It outlines how SNA maps relationships between stakeholders, measures their influence, coordination, and information flow, and helps identify gaps and power dynamics that affect effective NbS governance.