Description
Paper talks given as part of the conference proceedings, including four sessions: Place-based knowledge systems, What works where, Representing causality, and Machines in the loop
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28/09/2026, 15:30Talk
The demand the human population is placing on the environment has triggered accelerated rates of biodiversity change and created trade-offs among the ecosystem services we depend upon. Decisions designed to reverse these trends require the best possible information obtained by monitoring ecological and social dimensions of change. Here, I present a socialโecological network framework and...
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28/09/2026, 15:45Talk
This paper develops an integrative framework that combines scientific, Indigenous, and local knowledge to strengthen biodiversity conservation and adaptive governance in Indiaโs Sundarbans and Western Ghats, two globally significant socialโecological systems facing climate vulnerability, biodiversity loss, and livelihood pressures. Although community-based conservation increasingly recognizes...
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28/09/2026, 16:00Talk
Integrating social-ecological knowledge requires conceptual frameworks able to hold culturally-embedded, often intangible relationships between people and species alongside conventional ecological data, without flattening meaning or losing interpretability. Such knowledge remains scattered across disciplines that rarely share a vocabulary, even where the phenomena described overlap...
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28/09/2026, 16:15Talk
Ecological synthesis increasingly brings together diverse knowledge sources, yet synthesis can lose meaning when knowledge is separated from the contexts in which it is held, governed, and applied. This is especially important when Indigenous Knowledge is involved, where context also includes relationships to place, community priorities, consent, stewardship responsibilities, Indigenous Data...
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28/09/2026, 16:30Talk
Effective Forest Landscape Restoration (FLR) requires decision-making that integrates ecological evidence with the knowledge, priorities, and socioeconomic realities of local communities. In this study, geospatial analysis and community-derived socioeconomic evidence were integrated within the Restoration Opportunities Assessment Methodology (ROAM) to support restoration planning in the Okomu...
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29/09/2026, 10:30Talk
Thinking about causality has almost always conceptualised humans as knowers distant from the things known. This has informed our causal methodologies, including the experimental methodologies which are still considered our best methods. Even where separating ourselves from the target system is difficult, methodologies advise as much separation as possible. However, this conception is no good...
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9. Context-dependent coexistence of social parasites: fungus-growing ant communities as a case study29/09/2026, 10:45Talk
Parasite virulence (i.e. the harm caused by parasites to host survival and fitness) shapes host-parasite dynamics in both pathogenic and social parasites. While high virulence can paradoxically limit parasite persistence, outcomes are context dependent, sometimes even turning parasites into net mutualists. The fungus-growing ants (Myrmicinae: Attini) are part of a well-studied symbiotic...
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29/09/2026, 11:00Talk
To conserve biodiversity, ecosystem functions and natureโs contributions to people (NCPs) in agricultural landscapes, ecosystem restoration measures are implemented mainly targeting processes at different spatial and temporal levels. Analytically, the focus is often to assess past impacts of restoration measures for different taxa and different NCPs and underlying ecosystem functions. These...
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29/09/2026, 11:15Talk
The FAIR Principles have made biodiversity data findable, accessible, and interoperable, but not operationally usable. A critical layer is missing between semantic representation and context-sensitive action, one that distinguishes the structural capacity of a knowledge representation to support operations (actionability) from the epistemic reliability of using it in a specific context...
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29/09/2026, 11:30Talk
A pragmatic scientific theory is the conceptual basis that a group of scientists uses to conduct their scientific activities. This notion implies a definition of scientific theory based on what, from all available knowledge, scientists use to support their research. In other words, the theory is what scientists are using.
The recently published Pragmatic Approach to Theories is a method to...
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30/09/2026, 10:35Talk
Ecological research increasingly relies on integrating heterogeneous knowledge sources that are fragmented across disciplines, conceptual frameworks, and data infrastructures. This fragmentation is compounded by the fact that, despite significant advances in digital technologies, scientific results are still primarily communicated in text-based formats that machines cannot interpret without...
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30/09/2026, 10:50Talk
Multiple research fields from a range of disciplines contribute - each in their own ways - to the study of ecological systems and their internal and external interactions. Attempts at synthesizing the various contributions within and across fields into a coherent body of knowledge thus have to take into account the diversity of ways in which these fields perform, organize and share research....
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30/09/2026, 11:05Talk
Ecological synthesis produces knowledge that is human-interpretable but rarely machine-actionable. Attempts to address this through RDF/OWL-based semantic representations introduce a new problem: structures become opaque even to domain experts. We present the Semantic Units Framework, a modular approach to structuring ecological data and knowledge as logic-aware, independently addressable...
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30/09/2026, 11:20Talk
Ecological synthesis is increasingly difficult not only due to the growing volume of ecological literature, but also because evidence is deeply contextual. A claim about range shifts or niche change depends on the taxon, habitat, method, driver, or response under consideration. Standard retrieval-augmented generation can retrieve relevant text but often leaves this structure implicit. We...
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30/09/2026, 11:35Talk
Often scientific papers use conceptual causal diagrams to represent complex relationships. In ecology papers, these causal graphs can be used to depict species interactions, environmental conditions, ecological processes, etc. However, determining whether each of the causal relationships in such diagrams is strongly supported by the cited literature is difficult because the evidence is...
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01/10/2026, 10:35Talk
Large language models (LLMs) have recently emerged as a novel tool for knowledge extraction and evidence synthesis in a wide range of scientific disciplines, including ecology and conservation science. Whilst many taxa have been classified based on traits or the provision of ecosystem functions, taxonomic and geographic coverage is sparse, and knowledge of interactions between species,...
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01/10/2026, 10:50Talk
In ecology, systematic reviews and meta-analyses are important methods to synthesize scientific evidence. They allow to qualitatively and quantitatively integrate large bodies of literature to investigate cross-study research questions. Ecological evidence is described by numerous interrelated and complementary entities, many of which are associated with spatial and temporal information. Those...
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01/10/2026, 11:05Talk
Biodiversity monitoring provides the systematic measurements required to assess ecosystem health, predict environmental collapse, and inform global conservation efforts. A key component is the automatic classification of species from image data, where recent deep learning methods have achieved remarkable performance. However, distinguishing visually similar species based on fine-grained...
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01/10/2026, 11:20Talk
Natural history collections risk remaining isolated archives unless their data and knowledge are transformed into connected, semantically structured, and machine-actionable resources. The LIB Open Knowledge Space is a planned FAIR-, CARE-, and CLEAR-compliant knowledge infrastructure. It is central to the data and knowledge science strategy of the Leibniz Institute for the Analysis of...
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01/10/2026, 11:35Talk
Recent advances in AI promise new possibilities for knowledge integration, synthesis, and dissemination. However, novel AI systems must produce reliable answers if researchers and stakeholders want to make trustworthy claims, predictions, and decisions. Carefully curated Knowledge Graphs can be the key for this reliability, as they represent research data in a machine-readable, -interpretable,...
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01/10/2026, 11:50
Ontologies are widely used across scientific domains, e.g. life sciences and materials science to organize complex knowledge and describe relationships between concepts, data, and processes. However, accessing this knowledge often requires familiarity with ontology engineering, specialized terminology, or query languages such as SPARQL. This can limit the use of ontologies by researchers and...
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