Introduction
This course provides tools and guidelines for Integrating a Citizen Science Approach Into Higher Education Curricula. By providing (links to )readily available materials, offering course structure suggestions, and highlighting key issues to address, the content aims to provide educators with practical resources for developing a course on citizen science.
Structure
Designed to be a Citizen Science Information Package, this course is structured into the following sections:
This section offers resources for an introduction and basic familiarisation with Citizen Science. These resources are available in multiple formats, e.g. powerpoint slides, articles , video clips and infographics addressing what CS is, benefits of using a CS approach, the Ten Principles of Citizen Science as published by the European Citizen Science Association-Citizen Science Research in Education
This section discusses the benefits and challenges of incorporating Citizen Science in University Curricula. There are also example of existing citizen science course at tertiary level
-Citizen Science ToolkitA digital guide towards creating a Citizen science course utilising guidelines from the decision tree as well as resources on citizen science project strategy and design. The Toolkit also contains White papers and citizen science LMS packages
-FOSS for CS
This sections offers suggestions on (Free Open Source) software that can be used in designing and implementing citizen science projects including SemFlow.
Who is this for:
The information package is created for educators considering incorporating citizen science in their curricula but it can be used by anyone interested in citizen science
Data-driven discovery, interdisciplinary collaboration, and digital twins are transforming research and practice. The ability to semantically organize, integrate, and consume metadata of Digital Twin Objects (DTOs) is a critical skill for researchers, academics, and professionals.
The overall learning goal of this course is to develop the skills and understanding necessary to enhance the (meta)data of DTO datasets for downstream enrichment, such as advanced analytics, inter-linkage, and consumption through semantically-enabled tools and services provided by SemFlow.The semantic uplift of DTO metadata will unlock new downstream functionalities, enabling users to explore and discover datasets via a faceted, semantic search interface that guides compliance with any metadata standard, including INSPIRE.
This course leverages SemFlow (SemanticFlow Knowledge Hub) and its companion browser extension, SemLinked, to guide participants through principles and practices of building, managing, and consuming an online Body of Knowledge (BoK) tailored to DTO metadata enrichment. Through a blend of conceptual foundations, hands-on tool demonstrations, and real-world case studies, learners will gain practical experience in generating domain-specific corpora, defining and mapping concepts using ontological approaches, and creating interconnected knowledge graphs. Advanced topics include fine-tuning language models with BoK-derived corpora, integrating semantic models into data-processing workflows for DTO analytics, and developing downstream semantic services that expose enriched metadata for discovery and interoperability.
The course is intended for:
Researchers and Academics: Seeking to organize and interlink literature, methodologies, and datasets across emerging or interdisciplinary fields.
Professionals and Practitioners: Engaged in domains where data integration, knowledge management, or policy impact analysis is critical (e.g., environmental sciences, maritime management, digital humanities, health informatics).
Knowledge Engineers and Data Scientists: Interested in ontologies, knowledge graphs, semantic web technologies, and applying Large Language Models (LLMs) for corpus-driven model fine-tuning.
Technology Leads and Project Managers: Responsible for guiding teams toward interoperable data architectures, semantic standards compliance, and efficient knowledge reuse.
Keywords: knowledge management, visual “mind-mapping canvas”, NLP, LLM, interoperability-by-design, cross-domain, Marine Management and Innovation
Author(s): V. Venus, F. Wahyudi, P. Muchada, F. Kurniawan
Affiliation: RAMANI, ILIAD-project