219 research outputs found

    Communication and Resilience in Collaboration, Social-Ecological Systems, and Discourse

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    How does communication connect with and shape resilience and sustainability? I understand communication as a dynamic and context dependent concept. I draw my understanding of communication from systems, materiality, and discourse theories. I employ a mix of quantitative, qualitative, and critical approaches in three discrete projects focused on collaboration, social-ecological systems, and discourse. In the first project, my collaborators and I ask: how does an understanding of complex communication dynamics help identify ways to improve participation for intended collaboration outcomes across scales? We explore this question through a two-year mixed methods study of interdisciplinary collaboration and stakeholder engagement in Maineā€™s Sustainability Solutions Initiative. Our results demonstrate that decision making, collective communication competencies, participant identities and motivations, and social learning influence mutual understanding, inclusion of diverse ideas, and progress towards sustainability-related goals. Attending to how interactions recursively structure individuals, teams, and organizations may foster intentional transformation across scales. In the second project, we ask: how does communication influence conservation planning and the realization of resilience as organizational mission? We address this question through an ethnography using participant observations, focus groups, and interviews to study and inform Frenchman Bay Partnersā€™ collaboration. In this project, we identify core process characteristics that help us collectively work the tides. In our efforts to promote resilience and sustainability we recognize that difference is necessary and productive. By maintaining process commitments such as checking the tide charts, creating intentional interventions, and by continually coming back to find ways to work together we promote sustainability. The third project is a discourse analysis of resilience using Foucauldian archaeology in which I ask: how does resilience become a thing to be known? I identify two primary problems with resilience discourse, namely the lack of attention to how language creates the conditions what becomes possible and how this limits creative and transformative insights for working with the world. The artifacts I investigate include resilienceā€™s origins in ecology, systems ontologies and attractor models, and dialectics as ordering strategies. I seek transformation of the discourse and conclude by proposing a shift to materialist, vibrant assemblages for enhanced resilience and sustainability

    ā€œItā€™s just a cycleā€: Resilience, poetics, and intimate disruptions

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    The phrase ā€œItā€™s just a cycleā€ is commonly articulated in coastal resilience efforts and it also shapes broader public debates about climate change. Identifying the structure of arguments around cycles is a useful starting point for defining differences in perspective, but there is more to competing claims about cycles. It is this more that this essay aims to explore, starting with an opening example from an engaged rhetorical ethnographic project with Maineā€™s clam fishery. The example helps set up a methodological orientation to working with cycles within resilience-focused collaborations that draws from aesthetics and poetics. This approach aims to show how cycles shape world making and how attending to cycles as a trope can create a space for critical disruptions of colonial patterns. This is a space of intimate connection that allows cyclical rhythms, like those of tides, to help reveal a passageway to resilience

    Resilience as Discourse

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    Resilience as a frame is increasingly appearing in grant funding, news stories, academic journals, and organization missions. Across these sites, resilience is positioned as an ability to cope, characterized by bouncing back, regaining control, and reducing vulnerability to change. How did resilience come to be understood in these terms? What are the problems with resilienceā€™s frames and the practices that produce them? How might we become resilient differently? Using a Foucaultian archaeology, I examine sites and practices that produce resilience as discourse. I analyze resilienceā€™s origins in biophysical sciences, systems perspectives that define ways of knowing, visual models that constrain the emergence of new ideas, and persistent dialectics that narrowly order relationships within the world. I propose changes in the discourse for more affective and ecological modes of becoming resilient

    Interview with Robert Kates, Pathfinder in Sustainability Science

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    In this interview, Robert Kates discusses the challenges of sustainability science in moving from what scientists know to actions that can provide solutions to pressing environmental and development problems. Kates notes that sustainability science has the dual mission of addressing core scientific and intellectual questions, while at the same time addressing development in particular places. He suggests that one of the key questions is how to address long-term trends and transition to a ā€œbetter synthesis between environment and society.

    Reachability Map for Diverse and Energy Efficient Stepping of Humanoids

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    In legged locomotion, the relationship between different gait behaviors and energy consumption must consider the full-body dynamics and the robot control as a whole, which cannot be captured by simple models. This work studies the totality of robot dynamics and whole-body optimal control as a coupled system to investigate energy consumption during balance recovery. We developed a two-phase nonlinear optimization pipeline for dynamic stepping, which generates reachability maps showing complex energy-stepping relations. We optimize gait parameters to search all reachable locations and quantify the energy cost during dynamic transitions, which allows studying the relationship between energy consumption and stepping locations given different initial conditions. We found that to achieve efficient actuation, the stepping location and timing can have simple approximations close to the underlying optimality, resulting in optimal step positions with a 10.9% lower energy cost than those generated by linear inverted pendulum model. Despite the complexity of this nonlinear process, we found that near-minimal effort stepping locations are within a region of attractions, rather than a narrow solution space suggested by a simple model. This provides new insights into the nonuniqueness of near-optimal solutions in robot motion planning and control, and the diversity of stepping behavior in humans

    Why rhetoric matters for ecology

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    Increasingly, scientists and funding agencies such as the US National Science Foundation are recognizing the need for better science communication and more effective broader impacts activities. Compelled to make research more relevant to public stakeholders and policy makers, researchers look for ways to gain the necessary skillset to move their science from the field and laboratory into public forums. We suggest that the ancient discipline of rhetoric provides a useful ā€“ and underutilized ā€“ path forward. Building from the fundamental connections between ecology and rhetoric and drawing from practical examples at the intersection of these two fields, we demonstrate how rhetoric can inform training in science communication for better academic writing and broader impacts, and can promote interdisciplinary and crossā€institutional collaborations that support sustainability science. Integrating rhetoric and ecology helps to address complex and pressing sustainability problems through improved understanding, cooperation, and science and policy actions

    Citizen science and natural resource governance: program design for vernal pool policy innovation

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    Effective natural resource policy depends on knowing what is needed to sustain a resource and building the capacity to identify, develop, and implement flexible policies. This retrospective case study applies resilience concepts to a 16-year citizen science program and vernal pool regulatory development process in Maine, USA. We describe how citizen science improved adaptive capacities for innovative and effective policies to regulate vernal pools. We identified two core program elements that allowed people to act within narrow windows of opportunity for policy transformation, including (1) the simultaneous generation of useful, credible scientific knowledge and construction of networks among diverse institutions, and (2) the formation of diverse leadership that promoted individual and collective abilities to identify problems and propose policy solutions. If citizen science program leaders want to promote social-ecological systems resilience and natural resource policies as outcomes, we recommend they create a system for internal project evaluation, publish scientific studies using citizen science data, pursue resources for program sustainability, and plan for leadership diversity and informal networks to foster adaptive governance. Effective natural resource policy depends on knowing what is needed to sustain a resource and building the capacity to identify, develop, and implement flexible policies. This retrospective case study applies resilience concepts to a 16-year citizen science program and vernal pool regulatory development process in Maine, USA. We describe how citizen science improved adaptive capacities for innovative and effective policies to regulate vernal pools. We identified two core program elements that allowed people to act within narrow windows of opportunity for policy transformation, including (1) the simultaneous generation of useful, credible scientific knowledge and construction of networks among diverse institutions, and (2) the formation of diverse leadership that promoted individual and collective abilities to identify problems and propose policy solutions. If citizen science program leaders want to promote social-ecological systems resilience and natural resource policies as outcomes, we recommend they create a system for internal project evaluation, publish scientific studies using citizen science data, pursue resources for program sustainability, and plan for leadership diversity and informal networks to foster adaptive governance

    Entertaining our way to engagement? Climate change films and sustainable development values

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    How we communicate about climate change shapes our response tothe most complex and challenging issue society currently faces. In this paper,we conduct a discursive analysis and ideological critique of stereotypicalrepresentations in three climate change films: The Day After Tomorrow (2004), Sizzle: A Global Warming Comedy (2008) and An Inconvenient Truth (2006).We argue that these films situate their treatment of climate change in anarrative context that reiterates troubling stereotypes about race/ethnicity,gender, and sexuality. These representations do not align with key sustainabledevelopment goals such as equity, freedom, and shared responsibility. Ouressay demonstrates how the stories we consume about climate change as weentertain ourselves potentially influence our sense of the world, guide ourrelationships to one another and impact our collective abilities to create a sustainable future

    Health, the Environment, and Sustainability: Emergent Communication Lessons across Highly Diverse Public Participation Activities

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    Most lessons about public participation are gleaned from very specific domains, yet innovative ideas often emerge when lessons across very different domains are brought together. Our public engagement efforts span health, the environment, and sustainability in rural and urban settings with long term residents as well as new immigrants. We have worked with hundreds of faculty and stakeholders in Maine, Massachusetts, and New Hampshire on topics as varied as immigrant fishing in contaminated water, shared governance of shellfish areas, remediation of lead contamination in urban areas, and shared decision making on dam removal. The diversity of these efforts offers lessons about strategies for public engagement for decision making

    Understanding the fundamentals of bipedal locomotion in humans and robots

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    Walking is a robust and efficient method of moving around the world, which would greatly enhance the capabilities of humanoid robots, although they cannot match the performance of their biological counterparts. The highly nonlinear dynamics of locomotion create a vast state-action space, which makes model-based control difficult, yet biological humans are highly proficient and robust in their motion while operating under similar constraints. This disparity in performance naturally leads to the question: what can we learn about locomotion control by observing humans, and how can this be used to develop bio-inspired locomotion control in mechatronic humanoids? This thesis investigates bio-inspired locomotion control, but also explores the limitations of this approach and how we can use robotic platforms to move towards a better understanding of locomotion. We first present a methodology for measuring and analysing human locomotion behaviour, specifically disturbance recovery, and fit models to this complex behaviour to represent it in as simple as possible such that it can be easily translated into a simple controller for reactive motion. A minimum-jerk Model Predictive Control algorithm at the Centre of Mass (CoM) best captured human motion during multiple recovery strategies instead of using one controller for each strategy, which is common in this area. Capturing this simple CoM model of complex human behaviour shows that bio-inspiration can be an important tool for controller development, but behaviour varies between and even within individuals given similar initial conditions, which manifests as stochastic behaviour. Coupled with the ability to only measure expressed behaviours instead of direct control policies, this stochasticity presents a fundamental limit to using bio-inspiration for control purposes, as only indirect inferences can be made about a complex, stochastic system. To overcome these barriers, we investigate the use of mechatronic humanoid robots as a means to explore invariant aspects of the vast dynamic state-space of locomotion which are described by physical laws, and are therefore not subject to the stochastic behaviour of individual humans, that apply to both biological and mechatronic humanoid forms. We present a pipeline to explore the invariant energetics of humanoid robots during stepping for push recovery, where the most efficient stepping parameters are identified for a given initial CoM velocity and desired step length. Using this to explore the stepping state-space, our analysis finds a region of attraction between disturbance magnitude and optimal step length surrounded by a region of similarly efficient alternatives which corresponds to the stochastic behavior observed in humans during push recovery, which we would be unable to identify without reproducibility, direct access to internal measurements and known full body dynamics, which is not available in humans. We expand this paradigm further to investigate the invariant energetics of continuous walking using a full-body humanoid by exploring the state-space of step-length and step-timing to identify the most efficient sub-spaces of these parameters which describes the most efficient way to walk. Through analysis of this state-space, we provide evidence that the humanoid morphology exhibits a passive tendency towards energy-optimal motion and its dynamics follow a region of attraction towards Cost of Transport-optimal motion. Overall, these findings demonstrate the utility of robotics as a tool with which to explore certain aspects of legged locomotion and the results gained from our methodology suggest that humans do not need to explore a vast state-action space to learn to walk, they need only internalise simple heuristics for the natural dynamics of stepping that are easy to learn and can produce rapid, reactive and efficient stepping without costly decision-making processes
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