Matching Items (19)
Description
This project develops the "socio-technical contract" concept, a notion that signifies the kinds of socio-technological assumptions and arrangements that characterize a particular domain of policy or practice. Socio-technical contracts, unlike their social contract counterparts in political theory, represent active negotiation and renegotiation of social contracts around emerging technologies, as opposed to the tacit social contracts of thinkers such as Locke. I use the socio-technical contract concept to analyze the governance of assisted reproductive technologies in the United Kingdom. For increasing numbers of people, reproduction is happening in a fundamentally different way. Conception outside of the womb became a reality with the 1978 birth of Louise Brown, the first baby born via in-vitro fertilization. Alongside Louise Brown's birth emerged new social and governance configurations around reproductive technologies, including, in the United Kingdom, the establishment of a national regulatory agency, the Human Fertilisation and Embryology Authority. The project applies the socio-technical contract concept in order to examine how distributed governance and socio-cultural processes in the British context worked over time to renegotiate fundamental ideas about families and kinship, the boundaries of "ethical" science, rules governing release of information, the "right to an identity," the role of the state in the reproductive choices of individuals, and general approaches to how to think about the roles and relationships of the child, parents, and the state in and around the introduction of these technologies. As these changes have occurred, policies, social understandings, and legal rights have been renegotiated and new governance capacities, what I call "anticipatory capacities," have come into existence to manage and coordinate change across complex social systems. In illuminating anticipatory capacities in each context, I explore the tools deployed by government actors, scientists, stakeholders, and citizens in negotiating evolving socio-technical contracts around reproductive technologies.
ContributorsConley, Shannon (Author) / Miller, Clark A. (Thesis advisor) / Guston, David H. (Committee member) / Fisher, Erik (Committee member) / Arizona State University (Publisher)
Created2014
Description
With more than 70 percent of the world's population expected to live in cities by 2050, it behooves us to understand urban sustainability and improve the capacity of city planners and policymakers to achieve sustainable goals. Producing and linking knowledge to action is a key tenet of sustainability science. This dissertation examines how knowledge-action systems -- the networks of actors involved in the production, sharing and use of policy-relevant knowledge -- work in order to inform what capacities are necessary to effectively attain sustainable outcomes. Little is known about how knowledge-action systems work in cities and how they should be designed to address their complexity. I examined this question in the context of land use and green area governance in San Juan, Puerto Rico, where political conflict exists over extensive development, particularly over the city's remaining green areas. I developed and applied an interdisciplinary framework -- the Knowledge-Action System Analysis (KASA) Framework --that integrates concepts of social network analysis and knowledge co-production (i.e., epistemic cultures and boundary work). Implementation of the framework involved multiple methods --surveys, interviews, participant observations, and document--to gather and analyze quantitative and qualitative data. Results from the analysis revealed a diverse network of actors contributing different types of knowledge, thus showing a potential in governance for creativity and innovation. These capacities, however, are hindered by various political and cultural factors, such as: 1) breakdown in vertical knowledge flow between state, city, and local actors; 2) four divergent visions of San Juan's future emerging from distinct epistemic cultures; 3) extensive boundary work by multiple actors to separate knowledge and planning activities, and attain legitimacy and credibility in the process; 4) and hierarchies of knowledge where outside expertise (e.g., private planning and architectural firms) is privileged over others, thus reflecting competing knowledge systems in land use and green area planning in San Juan. I propose a set of criteria for building just and effective knowledge-action systems for cities, including: context and inclusiveness, adaptability and reflexivity, and polycentricity. In this way, this study also makes theoretical contributions to the knowledge systems literature specifically, and urban sustainability in general.
ContributorsMuñoz-Erickson, Tischa A (Author) / Larson, Kelli L. (Thesis advisor) / Redman, Charles L. (Thesis advisor) / Miller, Clark A. (Committee member) / Arizona State University (Publisher)
Created2012
Description
Sustainability depends in part on our capacity to resolve dilemmas of the commons in Coupled Infrastructure Systems (CIS). Thus, we need to know more about how to incentivize individuals to take collective action to manage shared resources. Moreover, given that we will experience new and more extreme weather events due to climate change, we need to learn how to increase the robustness of CIS to those shocks. This dissertation studies irrigation systems to contribute to the development of an empirically based theory of commons governance for robust systems. I first studied the eight institutional design principles (DPs) for long enduring systems of shared resources that the Nobel Prize winner Elinor Ostrom proposed in 1990. I performed a critical literature review of 64 studies that looked at the institutional configuration of CIS, and based on my findings I propose some modifications of their definitions and application in research and policy making. I then studied how the revisited design principles, when analyzed conjointly with biophysical and ethnographic characteristics of CISs, perform to avoid over-appropriation, poverty and critical conflicts among users of an irrigation system. After carrying out a meta-analysis of 28 cases around the world, I found that particular combinations of those variables related to population size, countries corruption, the condition of water storage, monitoring of users behavior, and involving users in the decision making process for the commons governance, were sufficient to obtain the desired outcomes. The two last studies were based on the Peruvian Piura Basin, a CIS that has been exposed to environmental shocks for decades. I used secondary and primary data to carry out a longitudinal study using as guidance the robustness framework, and different hypothesis from prominent collapse theories to draw potential explanations. I then developed a dynamic model that shows how at the current situation it is more effective to invest in rules enforcement than in the improvement of the physical infrastructure (e.g. reservoir). Finally, I explored different strategies to increase the robustness of the system, through enabling collective action in the Basin.
ContributorsRubinos, Cathy (Author) / Anderies, John M (Thesis advisor) / Abbott, Joshua K (Committee member) / Janssen, Marcus A (Committee member) / Arizona State University (Publisher)
Created2017
Description
Wildfire is an inescapable feature of Canadian landscapes, burning an average of over two million hectares annually and causing significant repercussions for communities, infrastructure, and resources. Because fire is managed provincially, each jurisdiction has developed a distinctive approach to preparing for, responding to, and recovering from fire on its landscapes. Using a comparative study between seven provinces and four national agencies, this dissertation examines differences in institutional design and policy with respect to the knowledge management systems required to respond to wildfire: How do policies and procedures vary between jurisdictions, how do they affect the practices of each fire management agency, and how can they be improved through a critical analysis of the knowledge management systems in use? And, what is the role of and limits on expertise within these fire management institutions that manage high-risk, highly uncertain socio- environmental challenges?
I begin by introducing the 2016 Fort McMurray/Horse River fire as a lens for exploring these questions. I then use the past one hundred years of fire history in Canada to illustrate the continual presence of fire, its human and social dimensions, and the evolution of differing fire management regimes. Drawing on extended ethnographic observation and interviewing of fire managers across Canada, I examine the varied provincial systems of response through following an active fire day in Alberta. I analyze the decision support and geospatial information systems used to guide fire agency decision-making, as well as the factors that limit their effectiveness in both response and hazard reduction modes. I begin Part Two with a discussion of mutual aid arrangements between the provinces, and critically examine the core strategy – interagency fungibility – used to allow this exchange. I analyze forecasting and predictive models used in firefighting, with an emphasis on comparing advantages and disadvantages of attempts at predicting future firefighter capacity requirements. I review organizational learning approaches, considering both fire research strategies and after action reviews. Finally, I consider the implication of changes in climates, politics, and public behaviours and their impacts on fire management.
I begin by introducing the 2016 Fort McMurray/Horse River fire as a lens for exploring these questions. I then use the past one hundred years of fire history in Canada to illustrate the continual presence of fire, its human and social dimensions, and the evolution of differing fire management regimes. Drawing on extended ethnographic observation and interviewing of fire managers across Canada, I examine the varied provincial systems of response through following an active fire day in Alberta. I analyze the decision support and geospatial information systems used to guide fire agency decision-making, as well as the factors that limit their effectiveness in both response and hazard reduction modes. I begin Part Two with a discussion of mutual aid arrangements between the provinces, and critically examine the core strategy – interagency fungibility – used to allow this exchange. I analyze forecasting and predictive models used in firefighting, with an emphasis on comparing advantages and disadvantages of attempts at predicting future firefighter capacity requirements. I review organizational learning approaches, considering both fire research strategies and after action reviews. Finally, I consider the implication of changes in climates, politics, and public behaviours and their impacts on fire management.
ContributorsKennedy, Eric B., 1990- (Author) / Sarewitz, Daniel (Thesis advisor) / Miller, Clark A. (Committee member) / Pyne, Stephen J (Committee member) / Arizona State University (Publisher)
Created2018
Description
This thesis consists of three projects employing complexity economics methods to explore firm dynamics. The first is the Firm Ecosystem Model, which addresses the institutional conditions of capital access and entrenched competitive advantage. Larger firms will be more competitive than smaller firms due to efficiencies of scale, but the persistence of larger firms is also supported institutionally through mechanisms such as tax policy, capital access mechanisms and industry-favorable legislation. At the same time, evidence suggests that small firms innovate more than larger firms, and an aggressive firm-as-value perspective incentivizes early investment in new firms in an attempt to capture that value. The Ecological Firm Model explores the effects of the differences in innovation and investment patterns and persistence rates between large and small firms.
The second project is the Structural Inertia Model, which is intended to build theory around why larger firms may be less successful in capturing new marketshare than smaller firms, as well as to advance fitness landscape methods. The model explores the possibility that firms with larger scopes may be less effective in mitigating the costs of cooperation because conditions may arise that cause intrafirm conflicts. The model is implemented on structured fitness landscapes derived using the maximal order of interaction (NM) formulation and described using local optima networks (LONs), thus integrating these novel techniques.
Finally, firm dynamics can serve as a proxy for the ease at which people can voluntarily enter into the legal cooperative agreements that constitute firms. The third project, the Emergent Firm model, is an exploration of how this dynamic of voluntary association may be affected by differing capital institutions, and explores the macroeconomic implications of the economies that emerge out of the various resulting firm populations.
The second project is the Structural Inertia Model, which is intended to build theory around why larger firms may be less successful in capturing new marketshare than smaller firms, as well as to advance fitness landscape methods. The model explores the possibility that firms with larger scopes may be less effective in mitigating the costs of cooperation because conditions may arise that cause intrafirm conflicts. The model is implemented on structured fitness landscapes derived using the maximal order of interaction (NM) formulation and described using local optima networks (LONs), thus integrating these novel techniques.
Finally, firm dynamics can serve as a proxy for the ease at which people can voluntarily enter into the legal cooperative agreements that constitute firms. The third project, the Emergent Firm model, is an exploration of how this dynamic of voluntary association may be affected by differing capital institutions, and explores the macroeconomic implications of the economies that emerge out of the various resulting firm populations.
ContributorsApplegate, Joffa Michele (Author) / Janssen, Marcus A (Thesis advisor) / Hoetker, Glenn (Committee member) / Johnston, Erik W., 1977- (Committee member) / Shutter, Shade (Committee member) / Arizona State University (Publisher)
Created2018
Description
Atrial fibrillation (AF) is the most common abnormal heart rhythm, affecting
nearly 2% of the world’s population at a cost of $26 Billion in the United States annually, and incalculable costs worldwide. AF causes no symptoms for some people. However, others with AF experience uncomfortable symptoms including palpitations, breathlessness, dizziness, and fatigue. AF can severely diminish quality of life for both AF sufferers and their loved ones. Beyond uncomfortable symptoms, AF is also linked to congestive heart failure and stroke, both of which can cause premature death. Medications often fail to control AF, leading patients and healthcare providers to seek other cures, including catheter ablation. To date, catheter ablation has yielded uneven results, but garners much attention in research and innovation in pursuit of a cure for AF. This dissertation examines the historical development and contemporary practices of AF ablation to identify opportunities to improve the innovation system for the disease. First, I trace the history of AF and AF ablation knowledge from the 2nd century B.C.E. through the present. This historical look identifies patterns of knowledge co-development between science, technology, and technique, as well as publication patterns impacting knowledge dissemination. Second, I examine the current practices of AF ablation knowledge translation from the perspective of clinical practitioners to characterize the demand-side of knowledge translation in real-world practice. Demand-side knowledge translation occurs in nested patterns, and requires data, experience, and trust in order to incorporate knowledge into a practice paradigm. Third, I use social network mapping and analysis to represent the full AF ablation knowledge-practice system and identify
opportunities to modify research and innovation practice in AF ablation based on i
measures of centrality and power. Finally, I outline six linked recommendations using raw data capture during ablation procedures and open big data analytics, coupled with multi-stakeholder social networking approaches, to maximize innovation potential in AF ablation research and practice.
nearly 2% of the world’s population at a cost of $26 Billion in the United States annually, and incalculable costs worldwide. AF causes no symptoms for some people. However, others with AF experience uncomfortable symptoms including palpitations, breathlessness, dizziness, and fatigue. AF can severely diminish quality of life for both AF sufferers and their loved ones. Beyond uncomfortable symptoms, AF is also linked to congestive heart failure and stroke, both of which can cause premature death. Medications often fail to control AF, leading patients and healthcare providers to seek other cures, including catheter ablation. To date, catheter ablation has yielded uneven results, but garners much attention in research and innovation in pursuit of a cure for AF. This dissertation examines the historical development and contemporary practices of AF ablation to identify opportunities to improve the innovation system for the disease. First, I trace the history of AF and AF ablation knowledge from the 2nd century B.C.E. through the present. This historical look identifies patterns of knowledge co-development between science, technology, and technique, as well as publication patterns impacting knowledge dissemination. Second, I examine the current practices of AF ablation knowledge translation from the perspective of clinical practitioners to characterize the demand-side of knowledge translation in real-world practice. Demand-side knowledge translation occurs in nested patterns, and requires data, experience, and trust in order to incorporate knowledge into a practice paradigm. Third, I use social network mapping and analysis to represent the full AF ablation knowledge-practice system and identify
opportunities to modify research and innovation practice in AF ablation based on i
measures of centrality and power. Finally, I outline six linked recommendations using raw data capture during ablation procedures and open big data analytics, coupled with multi-stakeholder social networking approaches, to maximize innovation potential in AF ablation research and practice.
ContributorsRoss, Heather M (Author) / Hackett, Edward J (Thesis advisor) / Hurlbut, James B (Thesis advisor) / Sarewitz, Daniel (Committee member) / Miller, Clark A. (Committee member) / Arizona State University (Publisher)
Created2016
Description
This dissertation examines how Indian polities have resisted and accommodated nuclear energy into their existing culture, politics and environment from the 1960s to the present. I document sites of friction between the nuclear establishment, urban activists, and local communities to trace how their engagements changed because of key ruptures in Indian nuclear history, namely Chernobyl, the US-India nuclear deal, and the Fukushima nuclear disaster. I interrogate the concept of ‘civic epistemologies,’ which was developed by comparative regulatory policy analysts in STS to explain how different national regulatory systems follow distinct cultural modes of evaluating the objectivity and credibility of policy-relevant scientific knowledge, evidence and expertise to arrive at different conclusions about similar technologies. By following how various actors are mobilizing cultures and institutions of knowledge production and deliberation to further political goals around nuclear power in India, as well as how these goals shape knowledge practices, I demonstrate that citizens’ desire to ‘scientize’ politics by creating a political culture of scientific debate around nuclear matters—thereby creating the forms of public reason as seen in Western nuclear debates—requires politicizing science to render it a publicly accessible rationality. As such, I argue that the creation of science- based, policy-relevant knowledge and politics should be seen as part and parcel of a particular variant of liberal democratic nation-building—albeit one that is inherently exclusionary, coercive and politically fraught. Using a mixed-methods approach of multi-sited ethnographies of five villages opposing nuclear energy, interviews with a wide range of actors, event ethnographies, oral histories and document collection and analysis, I discovered that urban and rural activists, politicians and regulatory officials articulate and enact different imaginaries of nuclear energy and democratic politics and participate in competing processes of knowledge-making and political formation. Democratic maneuvering and full access to the privileges of civil society are allowed actors who share the state's imaginary of nuclear power's role in achieving sovereignty and self-reliance, while others are not granted such affordances. Moreover, the state reproduces colonial sociopolitical categories in how it deals with the differential knowledge politics espoused by its rural, agrarian constituents and its urban elite citizens.
ContributorsBhadra, Monamie (Author) / Miller, Clark A. (Thesis advisor) / Hackett, Ed (Committee member) / Hurlbut, Ben (Committee member) / Arizona State University (Publisher)
Created2016
Description
The South African Middle Stone Age (MSA), spanning the Middle to Late Pleistocene (Marine Isotope Stages (MIS) 8-3) witnessed major climatic and environmental change and dramatic change in forager technological organization including lithic raw material selection. Homo sapiens emerged during the MSA and had to make decisions about how to organize technology to cope with environmental stressors, including lithic raw material selection, which can effect tool production and application, and mobility.
This project studied the role and importance of lithic raw materials in the technological organization of foragers by focusing on why lithic raw material selection sometimes changed when the behavioral and environmental context changed. The study used the Pinnacle Point (PP) MSA record (MIS6-3) in the Mossel Bay region, South Africa as the test case. In this region, quartzite and silcrete with dramatically different properties were the two most frequently exploited raw materials, and their relative abundances change significantly through time. Several explanations intertwined with major research questions over the origins of modern humans have been proposed for this change.
Two alternative lithic raw material procurement models were considered. The first, a computational model termed the Opportunistic Acquisition Model, posits that archaeological lithic raw material frequencies are due to opportunistic encounters during random walk. The second, an analytical model termed the Active-Choice Model drawn from the principles of Optimal Foraging Theory, posits that given a choice, individuals will choose the most cost effective means of producing durable cutting tools in their environment and will strategically select those raw materials.
An evaluation of the competing models found that lithic raw material selection was a strategic behavior in the PP record. In MIS6 and MIS5, the selection of quartzite was driven by travel and search cost, while during the MIS4, the joint selection of quartzite and silcrete was facilitated by a mobility strategy that focused on longer or more frequent stays at PP coupled with place provisioning. Further, the result suggests that specific raw materials and technology were relied on to obtain food resources and perform processing tasks suggesting knowledge about raw material properties and suitability for tasks.
This project studied the role and importance of lithic raw materials in the technological organization of foragers by focusing on why lithic raw material selection sometimes changed when the behavioral and environmental context changed. The study used the Pinnacle Point (PP) MSA record (MIS6-3) in the Mossel Bay region, South Africa as the test case. In this region, quartzite and silcrete with dramatically different properties were the two most frequently exploited raw materials, and their relative abundances change significantly through time. Several explanations intertwined with major research questions over the origins of modern humans have been proposed for this change.
Two alternative lithic raw material procurement models were considered. The first, a computational model termed the Opportunistic Acquisition Model, posits that archaeological lithic raw material frequencies are due to opportunistic encounters during random walk. The second, an analytical model termed the Active-Choice Model drawn from the principles of Optimal Foraging Theory, posits that given a choice, individuals will choose the most cost effective means of producing durable cutting tools in their environment and will strategically select those raw materials.
An evaluation of the competing models found that lithic raw material selection was a strategic behavior in the PP record. In MIS6 and MIS5, the selection of quartzite was driven by travel and search cost, while during the MIS4, the joint selection of quartzite and silcrete was facilitated by a mobility strategy that focused on longer or more frequent stays at PP coupled with place provisioning. Further, the result suggests that specific raw materials and technology were relied on to obtain food resources and perform processing tasks suggesting knowledge about raw material properties and suitability for tasks.
ContributorsOestmo, Simen (Author) / Marean, Curtis W (Thesis advisor) / Barton, Michael (Committee member) / Hill, Kim R (Committee member) / Janssen, Marcus A (Committee member) / Surovell, Todd A (Committee member) / Arizona State University (Publisher)
Created2017
Description
This dissertation will look at large scale collaboration through the lens of online communities to answer questions about what makes a collaboration persist. Results address how collaborations attract contributions, behaviors that could give rise to patterns seen in the data, and the properties of collaborations that drive those behaviors.
It is understood that collaborations, online and otherwise, must retain users to remain productive. However, before users can be retained they must be recruited. In the first project, a few necessary properties of the ``attraction'' function are identified by constraining the dynamics of an ODE (Ordinary Differential Equation) model. Additionally, more than 100 communities of the Stack Exchange networks are parameterized and their distributions reported.
Collaborations do not exist in a vacuum, they compete with and share users with other collaborations. To address this, the second project focuses on an agent-based model (ABM) of a community of online collaborations using a mechanistic approach. The ABM is compared to data obtained from the Stack Exchange network and produces similar distributional patterns.
The third project is a thorough sensitivity analysis of the model created in the second project. A variance based sensitivity analysis is performed to evaluate the relative importance of 21 parameters of the model. Results indicate that population parameters impact many outcome metrics, though even those parameters that tend towards a low impact can be crucial for some outcomes.
It is understood that collaborations, online and otherwise, must retain users to remain productive. However, before users can be retained they must be recruited. In the first project, a few necessary properties of the ``attraction'' function are identified by constraining the dynamics of an ODE (Ordinary Differential Equation) model. Additionally, more than 100 communities of the Stack Exchange networks are parameterized and their distributions reported.
Collaborations do not exist in a vacuum, they compete with and share users with other collaborations. To address this, the second project focuses on an agent-based model (ABM) of a community of online collaborations using a mechanistic approach. The ABM is compared to data obtained from the Stack Exchange network and produces similar distributional patterns.
The third project is a thorough sensitivity analysis of the model created in the second project. A variance based sensitivity analysis is performed to evaluate the relative importance of 21 parameters of the model. Results indicate that population parameters impact many outcome metrics, though even those parameters that tend towards a low impact can be crucial for some outcomes.
ContributorsManning, Miles (Author) / Janssen, Marcus A (Thesis advisor) / Castillo-Chavez, Carlos (Thesis advisor) / Anderies, John M (Committee member) / Kang, Yun (Committee member) / Arizona State University (Publisher)
Created2017
Description
A key factor in the success of social animals is their organization of work. Mathematical models have been instrumental in unraveling how simple, individual-based rules can generate collective patterns via self-organization. However, existing models offer limited insights into how these patterns are shaped by behavioral differences within groups, in part because they focus on analyzing specific rules rather than general mechanisms that can explain behavior at the individual-level. My work argues for a more principled approach that focuses on the question of how individuals make decisions in costly environments.
In Chapters 2 and 3, I demonstrate how this approach provides novel insights into factors that shape the flexibility and robustness of task organization in harvester ant colonies (Pogonomyrmex barbatus). My results show that the degree to which colonies can respond to work in fluctuating environments depends on how individuals weigh the costs of activity and update their behavior in response to social information. In Chapter 4, I introduce a mathematical framework to study the emergence of collective organization in heterogenous groups. My approach, which is based on the theory of multi-agent systems, focuses on myopic agents whose behavior emerges out of an independent valuation of alternative choices in a given work environment. The product of this dynamic is an equilibrium organization in which agents perform different tasks (or abstain from work) with an analytically defined set of threshold probabilities. The framework is minimally developed, but can be extended to include other factors known to affect task decisions including individual experience and social facilitation. This research contributes a novel approach to developing (and analyzing) models of task organization that can be applied in a broader range of contexts where animals cooperate.
In Chapters 2 and 3, I demonstrate how this approach provides novel insights into factors that shape the flexibility and robustness of task organization in harvester ant colonies (Pogonomyrmex barbatus). My results show that the degree to which colonies can respond to work in fluctuating environments depends on how individuals weigh the costs of activity and update their behavior in response to social information. In Chapter 4, I introduce a mathematical framework to study the emergence of collective organization in heterogenous groups. My approach, which is based on the theory of multi-agent systems, focuses on myopic agents whose behavior emerges out of an independent valuation of alternative choices in a given work environment. The product of this dynamic is an equilibrium organization in which agents perform different tasks (or abstain from work) with an analytically defined set of threshold probabilities. The framework is minimally developed, but can be extended to include other factors known to affect task decisions including individual experience and social facilitation. This research contributes a novel approach to developing (and analyzing) models of task organization that can be applied in a broader range of contexts where animals cooperate.
ContributorsUdiani, Oyita (Author) / Kang, Yun (Thesis advisor) / Fewell, Jennifer H (Thesis advisor) / Janssen, Marcus A (Committee member) / Castillo-Chavez, Carlos (Committee member) / Arizona State University (Publisher)
Created2016