Investigating opportunities for transformative change in biodiversity conservation: from Big Data analytics to Gamification.
This project investigates the indirect sociocultural and economic drivers of biodiversity loss using innovative methods to enhance conservation actions and transform human-nature relationships.
Projectdetails
Introduction
Human actions are eroding biodiversity and consequently reducing the contributions nature provides to people. Research has thus far had a strong focus on investigating the direct drivers of biodiversity loss, such as land use change, and their impacts on biodiversity.
Research Gaps
However, we are still lacking information about how sociocultural, economic, and other indirect drivers affect these direct drivers and consequently biodiversity. A key research priority is to investigate how societal values of nature and human behaviour underpin these indirect and direct drivers and consequently affect the transformative potential for positive and durable changes to human relationships with nature of conservation actions.
Methodology
The project draws from the emerging field of conservation culturomics that takes advantage of digital data sources and methods to study human-nature interactions. It employs cutting-edge research methods, including:
- Big Data analytics
- Video games
- Online social surveys
These methods aim to fill knowledge gaps at multiple scales.
Data Integration
By combining social media data and online traditional surveys, it will be possible to understand:
- Preferences for species
- Diverse values of biodiversity
- The sentiment of people experiencing nature
Behaviour Change Analysis
Multimodal analyses of videos and video games will be used to study the potential for behaviour change, including for large carnivore conservation in Europe. This will also help to understand the diverse motivations supporting pro-conservation behaviour.
Impact Assessment
Biodiversity footprint calculations and a novel framework for species risk assessment will allow exploring impacts of:
- International trade
- Culture
- Other indirect drivers on biodiversity
Prioritization of Conservation Actions
Large language models and spatial prioritization will help identify priority conservation actions and areas where they should be implemented.
Conclusion
When successful, the project will produce transformational knowledge on diverse perspectives and motivations for actions that can bring about change for biodiversity conservation.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.999.928 |
Totale projectbegroting | € 1.999.928 |
Tijdlijn
Startdatum | 1-5-2025 |
Einddatum | 30-4-2030 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- HELSINGIN YLIOPISTOpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Biodiversity change across time and space in the Anthropocene: Leveraging metacommunity modelling, land-use change, and open data to achieve deeper understandingThis project aims to integrate metacommunity theory with analytical methods to assess and project biodiversity changes influenced by anthropogenic pressures, aiding in biodiversity policy decisions. | ERC Advanced... | € 2.439.071 | 2024 | Details |
Prediction of genetic values and adaptive potential in the wildThis project aims to enhance understanding of eco-evolutionary processes in wild populations using advanced genomic data and statistical methods to address biodiversity loss and species adaptability. | ERC Consolid... | € 1.704.982 | 2025 | Details |
Biodiversity dynamics across a continuum of space, time, and their scalesBEAST aims to create a comprehensive model to map and analyze biodiversity changes across scales and regions over the last 40 years, enhancing conservation strategies globally. | ERC Consolid... | € 1.999.363 | 2023 | Details |
Evolutionary dynamics of genomic erosion and its application in biodiversity conservationERODE aims to assess genomic erosion in endangered bird species using advanced genomic techniques to inform conservation strategies and enhance species recovery efforts. | ERC Starting... | € 1.500.000 | 2023 | Details |
Building models of, with and for sustainability transformationsTRANSMOD aims to enhance sustainability transformations by integrating interdisciplinary analysis of natural resource governance and food systems, using simulation modeling and empirical research to understand complex dynamics. | ERC Advanced... | € 2.498.060 | 2024 | Details |
Biodiversity change across time and space in the Anthropocene: Leveraging metacommunity modelling, land-use change, and open data to achieve deeper understanding
This project aims to integrate metacommunity theory with analytical methods to assess and project biodiversity changes influenced by anthropogenic pressures, aiding in biodiversity policy decisions.
Prediction of genetic values and adaptive potential in the wild
This project aims to enhance understanding of eco-evolutionary processes in wild populations using advanced genomic data and statistical methods to address biodiversity loss and species adaptability.
Biodiversity dynamics across a continuum of space, time, and their scales
BEAST aims to create a comprehensive model to map and analyze biodiversity changes across scales and regions over the last 40 years, enhancing conservation strategies globally.
Evolutionary dynamics of genomic erosion and its application in biodiversity conservation
ERODE aims to assess genomic erosion in endangered bird species using advanced genomic techniques to inform conservation strategies and enhance species recovery efforts.
Building models of, with and for sustainability transformations
TRANSMOD aims to enhance sustainability transformations by integrating interdisciplinary analysis of natural resource governance and food systems, using simulation modeling and empirical research to understand complex dynamics.