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This thesis grapples with two distinct but interrelated issues: Indigenous climate sovereignty and the imagination of climate apocalypse. It is particularly concerned with how these two themes intersect in the High North, a landscape continually constructed as a periphery and frontier. In the pages that follow, I explore the misalignments between colonial projections of the land and its people, and the lived experiences of climate change and colonialism as I encountered them in two Alaska Native villages. This thesis is rooted in a multisited ethnography in Norton Sound, in Western Alaska. The ethnographic object of this study is not Alaska Native communities, but rather the forms of politics that connect rural Indigenous governments to colonial centres of power in the United States Federal government. In that sense, the research presented here is as much a political ethnography as it is an environmental one. The conclusions presented in this thesis are fourfold. 1) Marginalised Alaska Native communities face a neo-colonial pressure whereby, in order to receive assistance, they are required to adopt the bureaucratic forms and logic of their colonisers; 2) the manner in which the Arctic has been enlisted to support popular apocalyptic climate discourse echoes the modernist role the region played in 19th- and 20th-century constructions, as a mirror for urban humanity; 3) social scientists and humanities scholars have broadly neglected the importance of situating knowledge about climate change and ecological futures, and instead resort to sweeping, planetary gestures; and 4) urban narratives of climate apocalypse offer a potent antidote to political alienation.

This thesis comprises three independent papers on applied microeconomics. The first chapter studies the impact of primary care provider mergers on quality in England. The second chapter investigates the effect of price dispersion on consumer search behavior, drawing evidence from the retail gasoline market in Greece. The final chapter builds on the second, studying the asymmetric price adjustment and the impact of market competition on the asymmetric price adjustment. The details of the three papers are summarized below: The Effects of General Practice Mergers on Quality in England The primary care market has witnessed a growing trend of provider consolidation through mergers and acquisitions, yet the implications of this concentration remain uncertain. This study addresses this gap by providing the first empirical evidence on the effects of provider mergers on quality using evidence from the English primary care market. By analyzing all provider mergers from 2014 to 2018, I find predominantly negative effects of mergers on quality. Clinical quality does not change at best, and patient satisfaction decreases dramatically. Notably, the impact on quality varies based on the size of the general practices involved. Mergers between large general practices show a detrimental impact on quality, while mergers between small general practices may yield quality benefits. Additionally, there is no difference in the quality impact between mergers involving parties in the same geographical market and those in different markets. An exploration of the mechanism reveals that mismanagement, rather than changes in market concentration, drives the observed decline in quality following mergers. The Effect of Competition and Price Dispersion on Search Behavior We investigate the impact of price dispersion on consumer search behavior, while credibly controlling for market structure. Using the retail gasoline market on isolated, oligopolistic markets, as defined by small Greek islands, we exploit an excise duty tax increase policy as a plausibly exogenous shock to price dispersion. We directly measure consumer search using the number of user visits to a price information platform and mobile application. We find that the tax shock increases price dispersion and that in turn causes a short term increase in consumer search. The effect of price dispersion on consumer search remains regardless of market competition level. Asymmetric Pass-Through and Competition We study the pass-through to retail prices of four major changes in taxes for petroleum products (three increases and one subsequent decrease). We use daily pricing data from gas stations on small Greek islands, which define isolated markets with different number of competitors. First, we find that, on average, the pass-through of the tax hikes is five times higher than for the tax decrease. Second, the pass-through of the tax hikes increases with the number of competitors, but that of the tax decrease does not vary with competition (asymmetric competition effect). Third, there is significant asymmetry in the speed of price adjustments. Fourth, the asymmetric adjustment of retail gasoline prices cannot be explained by tacit collusion and the evidence points to search as the most plausible explanation.

Over the past decade, lead-halide perovskites (LHPs) have demonstrated significant potential in terms of their performance across a wide range of optoelectronic devices, including solar cells, photodetectors and light-emitting diodes. However, the toxicity of lead and instability issue of LHPs are still concerns for their widespread implementation. These successes, but also the challenges of LHPs have motivated great efforts across multiple disciplines to search for lead-free and stable alternatives that can have similar optoelectronic properties to LHPs, namely ‘perovskite-inspired materials (PIMs)’. With the deeper understanding of defect tolerance displayed in LHPs, a large number of PIMs have been identified until now. Among all the identified PIMs, ternary chalcogenides or ABZ2 materials, are believed to be one of the most promising alternatives so far, owing to their simple fabrication protocols, strong absorption and high stability in air. Particularly, AgBiS2 solar cells have demonstrated the highest efficiency (9.17%) among all bismuth-based solar cells. Nevertheless, studies into ternary chalcogenides are mostly limited to AgBiS2 photovoltaics, and the investigations into other potential ABZ2 materials or broader applications are rare so far. Therefore, this thesis will aim to investigate the optoelectronic properties of another promising while rarely investigated ABZ2 material – NaBiS2, and also the potential of AgBiS2 as near-infrared (NIR) photodetectors. In the first project of this thesis, NaBiS2 nanocrystals (NCs) have been shown to exhibit extremely strong absorption, along with a comparatively sharp absorption onset. However, optical-pump-terahertz-probe (OPTP) measurements indicated that most free charge-carriers in NaBiS2 NCs will be localised within a few picoseconds. These localised charge-carriers only exhibited low mobility of around 0.03 cm2 V-1 s-1 and could not transport effectively even though they might be rather long-lived in NaBiS2 and unaffected by intentionally-introduced defects. With help from density functional theory (DFT) calculations, all of these unusual characteristics in NaBiS2 have been shown to closely associate with intrinsic cation disorder, which was also observed in AgBiS2. Although post-annealing is effective for improving cation inhomogeneity and enhancing absorption in AgBiS2, its effect on NaBiS2 was found to be rather minor, which also indicated that the charge-carrier localisation process in NaBiS2 could not be significantly mitigated after annealing. Based on the fundamental insights acquired in the first project, the possibility of further improving charge-carrier transport in NaBiS2 NCs through ligand exchange treatment was investigated in my second project. Using a variety of correlated spectroscopic characterisation techniques, I found that NaBiS2 NCs treated by inorganic iodide ligands had enhanced sum mobility and surface photovoltage (SPV) signals, which implies an improvement in the macroscopic charge-carrier transport. However, the ultrafast localisation process was still observed in these iodide-treated NaBiS2 NCs, suggesting that their cation disorder was not greatly changed. At the same time, the defect capture rates were also found to be lower in the iodide-treated NaBiS2 NCs based on my two proposed models for describing charge-carrier dynamics. As a result, solar cells based on these iodide-treated NaBiS2 NCs could exhibit a peak external quantum efficiency (EQE) value over 50%, along with a power conversion efficiency exceeding 0.7%. Although this is an order of magnitude larger than previous reports, I found ion migration to be a limiting factor for NaBiS2 devices from temperature-dependent transient current measurements, where a low activation energy of only 88 meV was extracted. In my third project, AgBiS2 photodetectors were fabricated and characterised in depth. Aside from the broadband photo-response across from ultra-violet (UV) to near-infrared (NIR) region, AgBiS2 photodetectors have demonstrated an extremely high cut-off frequency (f-3dB) on MHz order, indicating their great potential in applications requiring fast device response such as optical communications. The mechanism behind this fast response was studied, and a relatively long drift length compared to the AgBiS2 film thickness is believed to be the key reason. Similar to NaBiS2 devices, ion migration was also found easy in AgBiS2 devices with an activation energy of 124 meV, which could lead to their increasing noise currents with time. Importantly, these noise currents could be also effectively suppressed when optimising the AgBiS2 film thickness, in which a balance between large shunt resistant and cumulative quantity of defects should be reached. Finally, owing to the small bandgap of AgBiS2 NCs (~1.2 eV), AgBiS2 photodetectors could effectively monitor the heartbeat rates by probing the transmission change of blood vessels illuminated by NIR light, which has been widely used in the medical field owing to its deeper penetration in tissues. These three projects not only uncovered several remarkable optoelectronic characteristics of ABZ2 materials, but also investigated possible methods to further alter these characteristics. Although ABZ2 materials have shown great potential as light harvesters, it can be seen that both cation disorder (or charge-carrier localisation) and ion migration are still limiting the performance. More studies on the root causes of both phenomena, and how to effectively suppress their effects on the materials, would be hence crucial in the future work. With more understandings on this material class, we could expect more efficient, stable, and cleaner optoelectronic devices to be realised in the future.

Species extinctions reduce the diversity of functions that an ecosystem can provide, with negative effects for both natural habitats and society. Rewilding is the restoration of these ecosystem functions by returning locally extinct species or their ecological analogues to an environment. Rewilding also has the potential to limit the impact of future climate change on species and ecosystems by introducing or reintroducing species to areas that will be climatologically suitable in the future. The interplay between rewilding and climate change is particularly relevant to the conservation of reptiles. Reptiles respond rapidly to climate change and support important ecosystem functions. As such, climate change is likely to cause local extinctions and range shifts of reptile species, disrupting the ecosystem functions they provide. Despite this, rewilding projects and related research have largely overlooked reptile species. In this thesis I took an interdisciplinary approach, drawing on neontological and palaeontological data and techniques, to examine the interplay between climate change and rewilding in the context of the conservation of reptiles and the ecosystem functions they support. I used the genus *Varanus* as a model taxon to understand how reptiles contribute to ecosystem functions and respond to climate change. To study the contribution of reptiles to ecosystem functions in the context of rewilding, I investigated the response of heath goannas (*Varanus rosenbergi*) of the Yorke Peninsula, South Australia to rewilding interventions as part of the Marna Banggara Rewilding Project (Chapter 2) and quantified their contribution to scavenging services within the landscape (Chapter 3). I found that goanna populations were increasing slowly in response to the control of invasive European mammals as part of the rewilding project. However, I suggested further action must be taken beyond merely controlling invasive species to support the recovery of reptile populations and reinstate the ecosystem functions they support. I went on to quantify the ecosystem services supported by heath goannas as scavengers and found that they play an important role in removing carcasses and reducing agriculturally harmful blowfly populations and therefore are a good candidate for rewilding to expand the range of the population and the services it supports. I used a variety of ecological modelling approaches to study the responses of *Varanus* species to climate change. Using species distribution models, I identified climatic variables as the major determinant of *Varanus* species distributions out of a suite of abiotic, biotic, and anthropogenic variables (Chapter 4). This suggested that climate change will have major and direct effects on the distributions of *Varanus* species. I went on to develop a novel ecometric modelling approach, utilising machine learning technology and fossil data to predict the responses of *Varanus* species to climate change (Chapter 5). My models predicted major range shifts in large species of *Varanus* over the next 100 years. Therefore, any rewilding projects including reptiles should integrate forecasted range shifts into their planning. This could include introducing species that have not lived in a region in recent history but are predicted to have suitable habitat there in the future, rather than reintroducing those that have recently gone extinct from an area but will not retain suitable habitat due to climate change. I brought my study of ecosystem functions and responses to climate change together to investigate the response of heath goannas to climate change and suggest appropriate conservation management responses to maintain the ecosystem functions supported by the species in the face of these changes (Chapter 6). I found that climate change is likely to drive local extinction of heath goannas from much of their current range. However, I also identified that protected areas will act as refuges from the effects of climate change. I suggested that action to expand protected areas may be the best approach to minimise the risk of local extinction of this functionally important species. My research demonstrates that large reptiles, such as members of the genus *Varanus*, provide important roles in ecosystems and should be active targets for rewilding projects. Climate change is likely to cause major and rapid shifts in reptile ranges; conservation planning needs to account for these shifts by taking forecasted range shifts into account. My findings highlight the need for conservation planning and action at large spatial and temporal scales to protect reptiles and the functions they provide for ecosystems worldwide.

To meet the increasing demand for sustainable products, one can look to nature to scout new functional materials. For instance, the most brilliant and striking colours in plants are obtained using cellulose nanofibrils organised in helicoidal architectures. Interestingly, similar helicoidal architectures with analogous optical response can be obtained in vitro by self-assembly of cellulose nanocrystals (CNCs). CNCs are rod-like colloids capable of arranging into a liquid crystalline phase above a critical concentration in suspension. So far, the process that governs the self-assembly of CNCs into photonic structures was studied only at small scale. This neglects the limitations and challenges posed by large-scale and continuous processes which are prevalent in industrial contexts. In this thesis, I demonstrate how the self-assembly of CNCs can be precisely controlled to produce meters-long films using a roll-to-roll (R2R) equipment. Starting with commercially available material, the preparation of CNC suspension was optimised for R2R deposition to produce films with vibrant photonic colour across the visible range. Particularly, I discuss how the suspension properties, the casting parameters and drying time relate to the optical properties of the produced films. To validate the use of such materials for pigment preparation, I develop a protocol to produce a series of coloured microparticles from R2R-cast CNC films. The optical properties of the CNC microparticles were then assessed in various environment and finally benchmarked against other commercial effect pigments and glitters.

Removal of nitrogen compounds in wastewater represents more than 10% of the total electrical demand of the integral water cycle. However, more than 80% of the nitrogen in wastewater comes from urine, where it is highly concentrated in the form of urea (20000 mg L-1). Urea contains a significant amount of hydrogen in its structure which, if recovered, makes urea a potential source of green energy. This thesis demonstrates a novel approach for the energy recovery from urea present in urine at the production source, using decentralised wastewater treatment systems. A new process has been developed in this thesis based on the integration of three steps. In the first step, adsorption is used to recover urea from urea, overcoming the energy limitations of thermal treatments applied to big water volumes. In the second step, thermal treatment is used to desorb the urea, achieving the regeneration of the adsorbent and the production of ammonia. Finally, in the third step, ammonia is used as hydrogen storage molecule to catalytically produce hydrogen on demand. The adsorption of urea is evaluated using activated carbon, determining that urea adsorbs due to physical interactions with i) delocalised π electrons of the pristine surface of the carbon and ii) carboxyl functional groups. The adsorption of urea is reduced when working with real urine due to the presence of organic compounds with affinity for activated carbon that interferes with the adsorption of urea. Thermal treatment of adsorbed urea leads to desorption of urea and regeneration of activated carbon showing a stable urea adsorption capacity during 4 consecutive adsorption/desorption cycles. Simultaneously, ammonia is produced with a 50 – 60 % yield, which is coupled with an ammonia decomposition catalyst to obtain hydrogen. Pilot trials are developed and installed in relevant environments as conventional and waterless urinals, where a social analysis shows a good acceptance towards the solution and pointed some aspects for improving. Energy analysis shows a positive balance due to the combination of the hydrogen produced and the savings in the traditional nitrogen removal. Furthermore, economic analysis indicates that the direct use of ammonia to produce electricity or fertilisers can be a competitive alternative to the obtention of hydrogen.

ABSTRACT Tire selection has an important impact on the operational costs of heavy-goods vehicles (HGVs). HGV tires are designed on a tradeoff between wear resistance, rolling resistance, and adhesion (skid resistance). High wear resistance tires (high mileage) are replaced less often but use more fuel during operation, and vice versa for low rolling resistance tires. Presently, finding the optimal tire to minimize replacement costs and fuel consumption (greenhouse gas emissions) is challenging due to the difficulty in predicting tire wear for a given operation, since its rate varies with different vehicle configurations (e.g., load, vehicle length, number of axles, type of axle, etc.) and road types (e.g., motorways/highways, minor roads, urban roads, etc.). This article presents a novel empirical tire-wear model that can be used to predict the wear for multi-axle vehicles based on route data and a vehicle model. The first part of the article presents the analytical and experimental development of the model. The second part presents the experimental validation of the model based on 10 months of in-service data totaling 37,000 km of operation. The model predicts tire tread depth within 8% (average error of 2%).

Over the past several years, online disinformation and misinformation concerning climate change have gained substantive attention within the scientific community. However, while the dynamics that drive the circulation of false online information have been analysed extensively, it remains unclear whether (and how) this phenomenon can be counteracted. This research project analyses the emerging role of bottom-up mobilisations as a form of noise-reduction, thereby examining how social movements may deploy peer-produced communication narra- tives to counteract the circulation of online disinformation and misinformation relating to climate change. To investigate this communication dynamic, this research applies techniques from computational social sciences to an original dataset of ≈ 250k Facebook posts produced by two movements that best embody this novel and innovative generation of radical envi- ronmental activism: Extinction Rebellion and Fridays for Future. The central thesis of this project forwards two original contributions to the fields of climate change communication and social movement studies. First, it analyses the emergence of a new generation of radical climate change movements and the significance of this new development in climate activism (Chapter II). Second, it offers interdisciplinary empirical evidence on how radical climate movements can act as a bottom-up force for what I term ‘epistemic activism’. It presents a theoretical framework where activist-led, peer-produced communication can provide a coun- tering force to both vertical disinformation and horizontal misinformation. It quantitatively analyses two channels through which these forms of false information can be opposed. For reducing vertical disinformation, this work assesses the use of naming and shaming against information polluters (Chapter III), while for horizontal misinformation, it evaluates the dissemination of scientific counter-narratives (Chapter IV). Ultimately, this thesis shows that the two movements under analysis engage extensively in epistemic activism, with great potential to influence the online climate change debate positively.

The world increasingly depends on batteries to store renewable energy and use that same energy in our vehicles and portable communication devices. This puts exceeding pressure on global resources. We need batteries that charge faster and live longer, such that we can use less resources. Faster charge and longer life are currently limited by the negative electrode, typically graphite, because fast charging would push the potential into the regime of hazardous and cycle-life degrading lithium plating. The ideal potential for fast charge would be low, but just above the around 1 V reduction potential of the electrolyte. Niobium-based metal oxides have the optimal electronegativity to strike this balance, with a nominal potential around 1.6 V, charging rates >5C and a cycle-life projected over 10,000 cycles. Chapter 1 shows that the exact potential can be tuned further by changing the average oxidation state through substitution of Nb5+ with for example W6+ or Ti4+. The range of average oxidation states then directly spans a material phase space classed by anion-to-cation ratios of 2.33 ≤ *y* < 2.82. These "off-stoichiometric" ratios typically force the unit cell to rearrange into an ordered balance of *y*=3 ReO3-type blocks of corner-sharing octahedra that have ample window sites to rapidly intercalate many lithium-ions, interspaced with *y*=2.5 crystallographic shear planes of edge-sharing octahedra that add stability and electronic conductivity to the structure, and anchored at their corner by *y*=2 regions of tetrahedra or edge-sharing octahedra. The influence of this structure on cell performance is relatively unknown. Numerous publications exist on individual members of this Wadsley-Roth (WR) material family, but gaps in theory and varying experimental conditions make it impossible to compare. The aim of this thesis is to provide a fair and fundamental comparison across this material class, relating compositional and structural properties to cell thermodynamics and kinetics that can then be used to optimise the material selection and model any full-scale cell geometry. In total 16 different compounds were synthesised with comparable geometrical parameters. Subsequently, they were fully parameterised with various electrochemical tests. Current theory is still too firmly based on traditional metal plate electrodes. Because the WR materials allow extreme conditions of high currents and could be tuned over an extensive structural and compositional range, their study forms an excellent opportunity to modernise the fundamental understanding of the thermodynamics and kinetics of intercalation lithium-ion batteries, in general, and in relation to structural and compositional parameters. Chapter 2, on thermodynamics and energy density, introduces fundamental principles of configurational entropy to explain the steep bends at the cell potential ends and the detailed peaks in the cyclovoltammogram. Density function theory (DFT) exposed a site filling order and structural straightening. Via molecular orbital theory this was then related to enthalpic effects of relatively steeper potential regions due to progressively poorer charge-compensation and relatively poor shielding, but also relatively flatter potential regions related to metal-to-metal repulsion and pseudo Jahn-Teller effects at the block edge. Owing to their increased edge-sharing, low *y* materials could thus reach lower potentials without reaching the voltage cut-off earlier. Low *y* materials thus exhibit high energy density, particularly considering that they also consist of more lightweight elements. The structural straightening upon reduction was identified as the crucial mechanism that provides a competitive energy density to the WR material. The first cycle data and DFT also revealed the mechanism that tetrahedral linkages are irreversibly trapping lithium and that they can be left out of the structure to achieve nearly 100% first cycle efficiencies. On the other hand, the study in Chapter 3 of their intercalation kinetics through temperature-dependent GITT and PEIS with novel application of the compensation effect shows that lower *y* is at the cost of lower entropy of the diffusion pathways, such that their intercalation diffusion coefficients are lower. In general, the compensation effect and the effect of entropy can not be underestimated, while the effect of activation enthalpy could be misleading. Various PEIS, cyclovoltammetry, PITT and GITT techniques had to be critically reviewed and stripped from metal-plate concepts, to identify the formation of film layers and the trends in diffusion. The charge transfer reaction rate and lithium intercalation diffusion were identified as the main contributors to loss, limiting the charge/discharge rate. However, this study observed that the chemical lithium intercalation diffusion coefficient increases with rate. This surprising effect is no longer adequately described by the conventional mass-transfer theory and suggests effects of non-equilibrium driving forces, excited lithium hopping, lattice vibrations and energy barrier softening. Such a mechanism is essential to explain the high rate performance of WR materials and intercalation materials in general and provides an important direction for future theory and experimental research. All in all, this study showed a tradeoff between energy and rate, with TiNb2O7, Zn2Nb34O87 and PNb9O25 as winners. Independent of the tradeoff, performance could be further improved in the future with the substitution of lightweight cations, and by increasing the crystallographic entropy with multiple cations. In general, this work identified several new applications of theory to the modern battery cell, which will hopefully become more widely applied and further underpinned by in-situ direct observation methods on the particle level. All the theory and full parameterisation methods above were combined into a full cell continuum model in Chapter 4, that not only validates these approaches but also allows the design, verification and prediction of any commercial format multilayer cell geometry. This paves the way for this new class of ultra fast-charge long-life batteries that can power more of the world, with fewer batteries.

This work explores the impactful role of social science research in integrating consumer perspectives into industry practices and policies, ultimately shaping sustainable behaviours. Our initial study involved 2,917 participants from France, Spain, the Czech Republic, and the Benelux region. Using simulated online shopping platforms, we tested whether consumers prefer cheaper products or those with longer lifespans and demonstrated a clear preference for durability. A subsequent collaboration with industry identified and tested more economically viable approaches, and their implementation informed a new EU policy. By integrating public opinion into manufacturing strategies, this research aligned economic gains with environmental responsibility, ultimately contributing to societal changes.