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Crisis management has become one of the most important public policy areas in recent decades with greater numbers of manmade and natural disasters. History showed that well-implemented crisis management policies can save lives and reduce costs in a disaster. Literature offered various suggestions for more effective crisis management policies with different techniques utilizing different theoretical frameworks. Informal relationships among crisis management employees were suggested to have a positive impact on crisis management effectiveness. Yet it was not demonstrated with advanced statistical tools if there is such a relationship. This study considers crisis management effort as a network effort and employs complex adaptive systems theory in order to understand factors influencing effectiveness of crisis management networks. Complex adaptive systems theory presents that more open communication lines in a given network or an organization would increase effectiveness of it since inner processes of the network or organization would obtain more information from the chaotic environment. Quality of informal relationships (casual relationships, social capital etc.) was hypothesized as a tool to open more communication lines within an agency which would eventually increase effectiveness of the network constructed by the organization. Based on the theoretical framework, adaptiveness capacity of the agencies was also tested in order to understand a correlation between adaptation and effectiveness of crisis management networks. Multiple case-study method was employed to identify incidents that can represent crisis management in full perspective. Terrorist attacks carried upon by the same terrorist network hit New York in 2001, Istanbul in 2003, Madrid in 2004, and London in 2005 were selected. First response phase of crisis management and policy changes after and before the attacks were discussed. Public administration processes and other social-economical conditions of countries were examined in terms of crisis management structure. Names of key agencies of selected crisis management systems were suggested by a social network analysis tool-UCINET. Six key agencies per incident were targeted for surveys. Surveys included a nine-item-quality of informal relationships, four-item-adaptiveness capability, and ten-item-perceived effectiveness of crisis management networks-scales. Respondents were asked to fill in online surveys where they could refer to their colleagues in the same incidents. 230 respondents were aimed and 246 survey responses were obtained as a result. Surveys formed a structural equation model representing 23 observed factors and 2 latent constructs. Confirmatory factor analysis was utilized to validate hypothesis-driven conceptual models. Quality of informal relationships was found to have a significant positive impact on perceived crisis management network effectiveness (Standardized regression coefficient = .39). Two of the adaptiveness variables, openness to change and intra-organizational training were also positively correlated with the dependent variable of the study (Standardized regression coefficient = .40 and .26 respectively). Turkish and American groups' differences suggested a social-economical difference in societies. Majority of the respondents were some type of managers which made it possible to generalize the results for all phases of crisis management. Discussions suggested improved informal relationships among crisis management employees to provide a better crisis management during an extreme event. Collaborative social events were offered to improve crisis management effectiveness. An agency's openness to change proposed that a crisis management organization should be flexible in rules and structure to gain more efficacy. The other adaptiveness variable, intra-organizational training efforts were proposed to have certain influence on effectiveness of crisis management network. Factors built latent construct of perceived crisis management effectiveness were also found out to be important on crisis management, which of some are ability to carry out generic crisis management functions, mobilize personnel and resources efficiently, process information adequately, blend emergent and established entities, provide appropriate reports for news media etc. Study contributed to the complex adaptive system theory since the fundamentals of the theory were tested with an advanced quantitative method. Non-linear relationships within a system were tested in order to reveal a correlation as the theory suggested, where the results were convincingly positive. Crisis management networks' effectiveness was demonstrated to be validated by a ten-item-scale successfully. Future research might utilize more disaster cases both natural and manmade, search for impact of different communication tools within a system, and look at the relationships among members of crisis management networks instead looking within an organization.

This thesis is a critical review of two central theories in the modern sustainability paradigm – namely… (1) the theory that the Earth’s geosphere, hydrosphere, biosphere and atmosphere form a complex adaptive system – the Earth system, and (2) the theory that all human activities are intrinsically dependent on, and constrained by, non-anthropogenic states and processes in the Earth system. The thesis explains the origins and the logic of these theories, and subjects them to formal, semi-formal and comparative criticism. Ultimately, it refutes both on formal and comparative grounds. Most importantly, it shows that theories 1 and 2 are in conflict with the theory of evolution by natural selection, and with the hypothetico-deductive model of scientific research. It also shows that they are in conflict – both directly and indirectly – with the known laws of physics. While it is true that all human activities rely on biospheric resources today, there are no physical, or natural laws that make it impossible for us to break those dependencies over time. In fact, the thesis shows that it is possible in principle to satisfy any human need by strictly artificial means, and abiotic resources that exist in abundance both inside and outside of the Earth system. An important corollary to this finding is that social and economic progress is not inextricably tied – as the modern sustainability literature suggests – to the exploitation of finite and rapidly diminishing resources here on Earth. Theories 1 and 2 both contribute to this confusion, and hence, to the bleak and irrational Malthusianism that still permeates so much of the sustainability domain. In addition, they appear to blind many researchers to the ecological benefits of technological development. That humanity can break its dependence on the biosphere is a very good thing for its non-human inhabitants. As we become more technologically advanced, we will find it easier and easier to sustain ourselves without destabilizing the world's ecosystems. The Earth’s biosphere is an oasis of beauty, complexity and connection in a Universe that is overwhelmingly empty and boring. As the only animals capable of appreciating this fact, we have a clear moral duty to protect and preserve it. And we can protect and preserve it. If we just let go of the religious ideas that have dominated our field since its inception, we will find that our potential to do good in the world is far greater than we previously imagined.

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<p dir="ltr">This dissertation presents decentralized and agent-based solutions for organizing machine learning resources, such as datasets and learning models. It aims to democratize the analysis of these resources through a simple yet flexible query structure, automate common ML tasks such as training, testing, model selection, and hyperparameter tuning, and enable privacy-centric building of ML models over distributed datasets. Based on networked multi-agent systems, the proposed approach represents ML resources as autonomous and self-reliant entities. This representation makes the resources easily movable, scalable, and independent of geographical locations, alleviating the need for centralized control and management units. Additionally, as all machine learning and data mining tasks are conducted near their resources, providers can apply customized rules independently of other parts of the system. </p><p><br></p>

Introduction This thesis describes a research study designed to examine the consequences of disability arising out of spinal cord compression secondary to cancer, and to examine the rehabilitation services available to patients. Research aims and questions The study was intended to achieve the following: 1. To ascertain what might constitute effective rehabilitation interventions for patients with metastatic spinal cord compression. 2. To identify the conditions in which these intervention might be delivered. 3. To ground proposals in spinal cord compression patients’ experience of disability. The following research questions were posed: 1. What are the consequences of disability for patients with metastatic spinal cord compression? 2. What strategies do patients themselves use to manage disability? 3. What do health care staff, particularly rehabilitation professionals, understand to be the consequences of disability for this patient group, and correspondingly, what are their views on the significance and provision of rehabilitation? 4. To what extent is rehabilitation being provided to these patients, and with what effect? 5. Where rehabilitation is not being provided, why is this the case? Study design The study had two components: • A series of nine in-depth interview-based case studies, which involved talking to patients about their experiences of living with spinal cord compression, as well as gaining the perspectives of family members and the health professionals who provided care and services. • A retrospective audit of the medical records of 73 spinal cord compression patients admitted to a radiotherapy in-patient unit (the Frank Ellis Unit at the Churchill Hospital in Oxford) over a two year period (July 2003 – June 2005), identifying disability-related problems and the measures taken to address them. This was a Phase I modelling study in terms of the Medical Research Council’s framework for evaluating complex interventions, with Pawson and Tilley’s (1997) Context-Mechanism-Outcome configuration adopted as a conceptual basis for data collection. Within-case analysis was informed by George and Bennett’s (2004) account of process tracing, and between-case analysis was modelled on the constant comparative method of Glaser and Strauss (1967) with an analysis of narrative as a variation on that theme. Results Disability is a serious problem for patients with spinal cord compression, but it is one problem among many others, not the least of which are the physical and emotional consequences of life-threatening illness. In response to disability, patients ‘twin-track’ their attitudes to it, acknowledging but also resisting the idea of themselves as disabled, and adopting a series of psychological devices to manage the tension. In effect, patients recognise that something significant has changed and that, as a consequence, new self-management skills must be learned, functional boundaries must be explored, useful information must be sought. At the same time, they display a determination to hold on to an established identity, associated with a sense of normality. This identity embraces the idea of competence and resourcefulness, the events, activities and pleasures that one looks forward to, and the wish to avoid burdening others. It is not a ‘disabled’ identity. To some extent, these two attitudes are in tension, as one acknowledges disability while the other, implicitly or explicitly, resists it. Consequently, patients try to find ways of resolving this tension, by ‘revising downwards’ their expectations, by constantly deferring the anticipated pleasures, and by avoiding situations in which their abilities might be put to the test, or the sense of normality be disconfirmed. Health care professionals are likely to construe the patient’s response as indicative of a certain type of character – ‘realistic’ on one hand, and ‘unrealistic’ on the other. They do not see ‘acknowledging / not acknowledging’ as twin facets of a complex response to circumstances, or as something which every patient engages in to one degree or another. Patients are motivated not to recognise rehabilitation as something they need, a view which is confirmed by the cursory form of rehabilitation experienced in hospital, and by the marginal significance attributed to it by nursing and medical staff. On discharge, hospital staff assume that rehabilitation needs will be identified in the community, although the way in which community rehabilitation services are organised virtually guarantees that this will not happen, unless a specific referral is made (as it is in only 5% of cases). The patient, meanwhile, remains unaware of the potential value of rehabilitation, and has no incentive to request rehabilitation if no-one offers it. They are consequently unprepared for life post-discharge, and assume that they (and their families) must manage on their own. Conclusions Like the patients, health care professionals may have to ‘twin-track’ if they are to provide rehabilitation in a way that is acceptable to patients with metastatic spinal cord compression. Instead of categorising patients as ‘realistic’ or ‘unrealistic’, they should work towards sustaining patients’ ‘positive illusions’, while at the same time taking whatever opportunities arise to enhance the patient’s day-to-day ability to function in a ‘safe’ space. This entails revising some deeply entrenched ideas about working with patients who have a disability: patient-centredness, the importance of goal setting, and the need for adjustment.

As a consequence of global environmental change, sustainable management and governance of natural resources face critical challenges, such as dealing with non-linear dynamics, increased resource variability, and uncertainty. This thesis seeks to address some of these challenges by using simulation models. The first line of research focuses on the use of learning-by-doing (LBD) for managing a renewable resource, exemplified by a fish stock, and explores LBD in a theoretical model using artificial intelligence (Paper I and II). The second line of research focuses on the emergence of different forms of self-governance and their interrelation with the dynamics of trust among fishers when harvesting a shared resource, using an agent-based model. This model is informed by qualitative data based on small-scale fisheries in Mexico (Paper III and IV). Paper I and II find that the most sustainable harvesting strategy requires that the actor values current and future yields equally, cautiously experiments around what is perceived as the best harvest action, and rapidly updates its ‘mental model’ to any perceived change in catch. More specifically, Paper II reveals that understanding these aspects in relation to the type of change can yield not only increased performance, but also, and more importantly, increased robustness to both fast and slow changes in resource dynamics. However, when resource dynamics include the possibility of a more fundamental shift in system characteristics (a regime shift), LBD is problematic due to the potential for crossing a threshold, resulting in possible persistent reductions in harvests (Paper I). In Paper III, results indicate that cooperative forms of self-governance are more likely to establish and persist in communities where fishers’ have prior cooperative experience, fishers’ trustworthiness is more or less equal, and that this likelihood increases when resource availability fluctuates seasonally. Finally, to achieve a transformation toward more cooperative forms of self-governance, interventions are required that can strengthen both financial capital and trust among the members of the cooperatives (Paper IV). The unique contribution of this thesis lies in the method for ‘quantitatively’ studying LBD, the stylized model of a small-scale fishery, and the analysis of the two models to advance our understanding of processes of learning and self-governance in uncertain and variable social-ecological environments. Together, the results shed light on how social and ecological factors and processes co-evolve to shape social-ecological outcomes, as well as contributing to the development of novel methods within the emerging field of sustainability science. / I vårt antropocena tidevarv är ett långsiktigt förvaltarskap av naturresurser inom social-ekologiska system av yttersta vikt. Detta kräver en djup förståelse av människan, ekologin, interaktionerna sinsemellan och deras utveckling över tid. Syftet med denna avhandling är att nå en djupare och mer nyanserad förståelse kring två av grundpelarna inom forskningen av hållbar förvaltning av naturresurser–kontinuerligt lärande genom learning-by-doing (LBD) för att förstå naturresursens dynamik, samt vad som kan kallas socialt kapital, i detta sammanhang i betydelsen tillit mellan individer, som naturligtvis ligger till grund för framgångsrik gemensam förvaltning. Denna föresats operationaliseras genom att använda två olika simuleringsmodeller. Den ena modellen undersöker hur en hållbar förvaltning av en förnyelsebar resurs, i denna avhandling exemplifierad av en fiskepopulation, kan uppnås genom LBD. Den andra modellen söker blottlägga det komplexa sociala samspel som krävs för att praktisera gemensam förvaltning genom att använda ett fiskesamhälle som fallstudie. Tidigare forskning på båda dessa två områden är relativt omfattade. Emellertid har den forskning som specialiserat sig på LBD i huvudsak inskränkt sig till empiriska fallstudier. Vad som bryter ny mark i denna avhandling är att vi konstruerar en simuleringsmodell av LBD där vi kan studera lärandeprocessen i detalj för att uppnå en mer hållbar förvaltning över tid. Beträffande modellen som behandlar socialt kapital så har tidigare forskning fokuserat på hur en organisation, eller grupp, kan uppnå hållbar förvaltning. Dock saknas ett helhetsgrepp där som tar hänsyn till alla nivåer; från individnivå (mikro), via gruppnivå (meso), till samhällsnivå (makro). Detta är något som denna avhandling försöker avhjälpa genom att undersöka betydelsen av individers egenskaper, uppbyggnaden av socialt kapital, samt hur detta påverkar emergens av ett samhälle dominerat av mer kooperativa förvaltningsformer respektive mer hierarkiska diton. I papper I and II studeras kärnan av LBD som återkoppling mellan en aktör och en resurs, där aktören lär sig genom upprepade interaktioner med en resurs.  Resultaten visar att LBD är av avgörande betydelse för en hållbar förvaltning, speciellt då naturresursens dynamik är stadd i förändring. I den mest hållbara strategin bör aktören värdera nuvarande och framtida fångster lika högt, försiktigt experimentera kring vad aktören upplever som bästa strategi, för att sedan anpassa sin mentala modell till upplevda förändringar i fångst relativt dess insats någorlunda kraftigt. I papper III och IV behandlas uppbyggnaden av förtroende mellan individer och grupp, samt själv-organiserat styre. Genom att använda småskaligt fiske i Mexiko som en illustrativ fallstudie, utvecklades en agent-baserad modell av ett arketypiskt småskaligt fiskesamhälle. Resultaten indikerar att kooperativa förvaltningsformer är mer dominanta i samhällen där de som utför fisket har liknande pålitlighet, starkt gemensamt socialt kapital vid kooperativets start, och då resursen fluktuerar säsongsmässigt (papper III). Papper IV visar att för att uppnå en transformation från hierarkiska förvaltningsformer till kooperativa diton krävs interventioner som inriktar sig på både socialt och finansiellt kapital. Denna avhandling bidrar således till en djupare förståelse kring hur socialt kapital växer fram, samt hur mer strategiska LBD processer bör utformas när abrupta och osäkra förändringar i ekosystemen blir allt vanligare på grund av människans ökade tryck på planeten. / <p>At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 2: Submitted. Paper 3: Submitted. Paper 4: Manuscript.</p>