The scale, rate, and intensity of humans' environmental impact has engendered broad discussion about how to find plausible pathways of development that hold the most promise for fostering a better future in the Anthropocene. However, the dominance of dystopian visions of irreversible environmental degradation and societal collapse, along with overly optimistic utopias and business-as-usual scenarios that lack insight and innovation, frustrate progress. Here, we present a novel approach to thinking about the future that builds on experiences drawn from a diversity of practices, worldviews, values, and regions that could accelerate the adoption of pathways to transformative change (change that goes beyond incremental improvements). Using an analysis of 100 initiatives, or "seeds of a good Anthropocene", we find that emphasizing hopeful elements of existing practice offers the opportunity to: (1) understand the values and features that constitute a good Anthropocene, (2) determine the processes that lead to the emergence and growth of initiatives that fundamentally change human-environmental relationships, and (3) generate creative, bottom-up scenarios that feature well-articulated pathways toward a more positive future.

The study of social-ecological systems (SES) has been significantly shaped by insights from research on complex adaptive systems (CAS). We offer a brief overview of the conceptual integration of CAS research and its implications for the advancement of SES studies and methods. We propose a conceptual typology of six organizing principles of CAS based on a comparison of leading scholars' classifications of CAS features and properties. This typology clusters together similar underlying organizing principles of the features and attributes of CAS, and serves as a heuristic framework for identifying methods and approaches that account for the key features of SES. These principles can help identify appropriate methods and approaches for studying SES. We discuss three main implications of studying and engaging with SES as CAS. First, there needs to be a shift in focus when studying the dynamics and interactions in SES, to better capture the nature of the organizing principles that characterize SES behavior. Second, realizing that the nature of the intertwined social-ecological relations is complex has real consequences for how we choose methods and practical approaches for observing and studying SES interactions. Third, engagement with SES as CAS poses normative challenges for problemoriented researchers and practitioners taking on real-world challenges.

ABSTRACT. The unique challenges posed by the Anthropocene require creative ways of engaging with the future and bringing about transformative change. Envisioning positive futures is a first step in creating a shared understanding and commitment that enables radical transformations toward sustainability in a world defined by complexity, diversity, and uncertainty. However, to create a transformative space in which truly unknowable futures can be explored, new experimental approaches are needed that go beyond merely extrapolating from the present into archetypal scenarios of the future. Here, we present a process of creative visioning where participatory methods and tools from the field of futures studies were combined in a novel way to create and facilitate a transformative space, with the aim of generating positive narrative visions for southern Africa. We convened a diverse group of participants in a workshop designed to develop radically different scenarios of good Anthropocenes, based on existing "seeds" of the future in the present. These seeds are innovative initiatives, practices, and ideas that are present in the world today, but are not currently widespread or dominant. As a result of a carefully facilitated process that encouraged a multiplicity of perspectives, creative immersion, and grappling with deeply held assumptions, four radical visions for southern Africa were produced. Although these futures are highly innovative and exploratory, they still link back to current real-world initiatives and contexts. The key learning that arose from this experience was the importance of the imagination for transformative thinking, the need to capitalize on diversity to push boundaries, and finally, the importance of creating a space that enables participants to engage with emotions, beliefs, and complexity. This method of engagement with the future has the potential to create transformative spaces that inspire and empower people to act toward positive Anthropocene visions despite the complexity of the sustainability challenge.

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Key methods discussed in this chapterModelling methods: System dynamics (group model building, mediated modelling, shared vision planning), agent-based models (ARDI), role-playing games (Wat-A-Game), expert models (Bayesian networks, fuzzy cognitive maps), state-and-transition models, soft system methodologies (rich pictures, concept maps, decision trees, cognitive maps) Integrated approaches: Collaborative modelling, companion modelling, participatory system analysis Connections to other chaptersMethods for generating data and systems scoping (Chapters 5-8), specifically participatory data-collection methods (Chapter 8) or interviews and surveys (Chapter 7), may provide working material or monitoring and evaluation support within participatory modelling processes. Facilitated dialogue methods (Chapter 9) may smooth participatory modelling workshops. Future analysis (Chapter 10), scenario development (Chapter 11) or serious games (Chapter 12) may be articulated with participatory models within broader participatory resilience assessment (Chapter 14) or action research (Chapter 15) projects. Expert modelling (Chapter 16), dynamical systems modelling (Chapter 26), state-and-transition modelling (Chapter 27) and agent-based modelling (Chapter 28) cover the most common types of modelling methods used in participatory modelling, and participatory modelling may use institutional analysis (Chapter 22) conceptual frameworks.

There is growing interest in studying processes of human sensemaking, as this strongly influences human and organizational behavior as well as complex system dynamics due to the diverse lenses people use to interpret and act in the world. The Cognitive Edge SenseMaker® tool is one method for capturing and making sense of people’s attitudes, perceptions, and experiences. It is used for monitoring and evaluation; mapping ideas, mind-sets, and attitudes; and detecting trends and weak signals. However, academic literature describing the tool-set and method is lacking. This introduction aims to guide researchers in choosing when to use SenseMaker and to facilitate understanding of its execution and limitations. SenseMaker can provide nuanced insight into system-level patterns of human sensemaking that can provide insight to nudge systems towards more desirable futures, and enable researchers to measure beyond what they know.

Research on complex systems is becoming more prolific, and there is a need to provide some point of orientation to researchers and practitioners that are drawing on the body of literature that informs the field of complexity research. In this paper, I aim to give an overview of the development of the field and offer some overarching trends and patterns that are recognizable in research on complex systems. The paper then draws on the work to provide six organizing principles of complex systems to inform practical implications and methods for studying and understanding complex systems.

ABSTRACT. The complexity of social-ecological systems is well recognized (Berkes et al. 2003, Norberg andCumming 2008). However, in the study of such systems, it is often the uncertainty that results from nonlinear interactions that forms the focus of discussion. Here, the normative implications of complexity for our knowledge of such systems are emphasised, by drawing largely on the work of Cilliers (1998Cilliers ( , 2005a, who introduced the term "critical complexity." This perspective on complexity is distinct in bringing the value-based choices that frame our knowledge generation strategies to the fore. It is from this view that we investigate the implications of complexity for social-ecological systems research. Based on these implications, we propose a set of five key questions to guide the incorporation of insights from critical complexity into such research. We end with a brief application of the questions proposed to the National Freshwater Ecosystem Priority Areas (NFEPA) project in South Africa, to illustrate their potential use in the context of resource management.