Systemic approaches to accelerate transformative change for biodiversity

Apie kvietimą

Expected Outcome: Proposals are expected to contribute to all of the following expected outcomes: policy and decision makers at relevant levels are better equipped to incorporate educational, cultural, societal and behavioural insights related to biodiversity – such as business dependencies, vulnerabilities and systemic risks – into future policy development, including through participatory and co-designed approaches; institutional, business, financial and economic actors have better awareness on the systemic effects of their interactions and interdependencies with ecosystems, including international trade, across value chains; the understanding and mapping of cross-actor and cross-sectoral relationships and their associated knowledge production and decision-making pathways are improved; transdisciplinary research communities from natural and social sciences and humanities (SSH), as well as cultural and creative sectors, among others, collaborate to improve understanding on the indirect drivers[1] behind biodiversity-harming practices, identify leverage points and test evidence-based interventions – including in relation to governance, incentives, narratives, norms and power asymmetries – with public and private sector actors to incentivise and strengthen collaborative, nature-positive practices that enable transformative change for biodiversity. Scope: As highlighted by IPBES, halting biodiversity loss requires transformative change[2] across mindsets, practices and the rules of the system, in ways that address the underlying causes of biodiversity loss and nature’s decline. In this context, systems thinking and behavioural science are not optional add-ons but essential bridges between ambition and impact, enabling policies and interventions to better translate intentions and actions into behavioural and structural change across all relevant actor groups. Proposals should: identify and analyse implementation gaps in transformative change for biodiversity through a systems approach, including behavioural sciences, SSH, culture and the arts, building on existing knowledge across different types, including Indigenous and local. Where relevant, systemic analyses should be supported by empirical biodiversity data, including ecosystem functioning indicators, to ensure that behavioural and governance interventions are grounded in measurable ecological outcomes; analyse and map cross-actor and cross-sector relationships, different worldviews and knowledge systems - including Indigenous and local knowledge - power dynamics, gender roles, governance and influence pathways, including how knowledge is produced, validated and mobilised across actor groups, to identify how interactions between them drive or hinder transformative change for biodiversity; anticipate and analyse how indirect drivers of biodiversity loss interact with societal, economic and cultural values, affect intrinsic biodiversity values, access to and perceptions of nature and behavioural…