8,388 research outputs found
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Ensuring Access to Safe and Nutritious Food for All Through the Transformation of Food Systems
Qluster: An easy-to-implement generic workflow for robust clustering of health data
The exploration of heath data by clustering algorithms allows to better describe the populations of interest by seeking the sub-profiles that compose it. This therefore reinforces medical knowledge, whether it is about a disease or a targeted population in real life. Nevertheless, contrary to the so-called conventional biostatistical methods where numerous guidelines exist, the standardization of data science approaches in clinical research remains a little discussed subject. This results in a significant variability in the execution of data science projects, whether in terms of algorithms used, reliability and credibility of the designed approach. Taking the path of parsimonious and judicious choice of both algorithms and implementations at each stage, this article proposes Qluster, a practical workflow for performing clustering tasks. Indeed, this workflow makes a compromise between (1) genericity of applications (e.g. usable on small or big data, on continuous, categorical or mixed variables, on database of high-dimensionality or not), (2) ease of implementation (need for few packages, few algorithms, few parameters, ...), and (3) robustness (e.g. use of proven algorithms and robust packages, evaluation of the stability of clusters, management of noise and multicollinearity). This workflow can be easily automated and/or routinely applied on a wide range of clustering projects. It can be useful both for data scientists with little experience in the field to make data clustering easier and more robust, and for more experienced data scientists who are looking for a straightforward and reliable solution to routinely perform preliminary data mining. A synthesis of the literature on data clustering as well as the scientific rationale supporting the proposed workflow is also provided. Finally, a detailed application of the workflow on a concrete use case is provided, along with a practical discussion for data scientists. An implementation on the Dataiku platform is available upon request to the authors
Exploring environmental concerns on digital platforms through big data: the effect of online consumers’ environmental discourse on online review ratings
By deploying big data analytical techniques to retrieve and analyze a large volume of more than 2.7 million reviews, this work sheds light on how environmental concerns expressed by tourists on digital platforms, in the guise of online reviews, influence their satisfaction with tourism and hospitality services. More specifically, we conduct a multi-platform study of Tripadvisor.com and Booking.com online reviews (ORs) pertaining to hotel services across eight leading tourism destination cities in America and Europe over the period 2017–2018. By adopting multivariate regression analyses, we show that OR ratings are positively influenced by both the presence and depth of environmental discourse on these platforms. Theoretical and managerial contributions, and implications for digital platforms, big data analytics (BDA), electronic word-of-mouth (eWOM) and environmental research within the tourism and hospitality domain are examined, with a view to capturing, empirically, the effect of environmental discourse presence and depth on customer satisfaction proxied through online ratings
Cultivating Agrobiodiversity in the U.S.: Barriers and Bridges at Multiple Scales
The diversity of crops grown in the United States (U.S.) is declining, causing agricultural landscapes to become more and more simplified. This trend is concerning for the loss of important plant, insect, and animal species, as well as the pollution and degradation of our environment. Through three separate but related studies, this dissertation addresses the need to increase the diversity of these agricultural landscapes in the U.S., particularly through diversifying the type and number of crops grown. The first study uses multiple, openly accessible datasets related to agricultural land use and policies to document and visualize change over recent decades. Through this, I show that U.S. agriculture has gradually become more specialized in the crops grown, crop production is heavily concentrated in certain areas, and crop diversity is continuing to decline. Meanwhile, federal agricultural policy, while having become more influential over how U.S. agriculture operates, incentivizes this specialization. The second study uses nonlinear statistical modeling to identify and compare social, political, and ecological factors that best predict crop diversity across nine regions in the U.S. Factors of climate, prior land use, and farm inputs best predict diversity across regions, but regions show key differences in how factors are important, indicating that patterns at the regional scale constrain and enable further diversification. Finally, the third study relied on interviews with farmers and key informants in southern Idaho’s Magic Valley – a cluster of eight counties that is known to be agriculturally diverse. Interviews gauge what farmers are currently doing to manage crop diversity (the present) and how they imagine alternative landscapes (the imaginary). We found that farmers in the Magic Valley manage current diversity mainly through cover cropping and diverse crop rotations, but daily struggles and political barriers make experimenting with and imagining alternative landscapes difficult and unlikely to occur. Together, these three studies provide an integrated view of how and why U.S. agriculture landscapes simplify or diversify, as well as the barriers and bridges such pathways of diversification
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After Creation: Intergovernmental Organizations and Member State Governments as Co-Participants in an Authority Relationship
This is a re-amalgamation of what started as one manuscript and became two when the length proved to be more than any publisher wanted to consider. The splitting consisted of removing what are now Parts 3, 4, and 5 so that the manuscript focused on the outcome-related shared beliefs holding an authority relationship together. Those parts were last worked on in 2018. The rest were last worked on in late 2021 but also remain incomplete.
The relational approach adopted in this study treats intergovernmental organizations and the governments of member states as co-participants in an authority relationship with the governments of their member states. Authority relationships link two types of actor, defined by their authority-holder or addressee role in the relationship, through a set of shared beliefs about why the relationship exists and how the participants should fulfill their respective roles. The IGO as authority holder has a role that includes a right to instruct other actors about what they should or should not do; the governments of member states as addressees are expected to comply with the instructions. Three sets of shared beliefs provide the conceptual “glue” holding the relationship together. The first defines the goal of the collective effort, providing both the rationale for having the authority relationship and providing a lode star for assessments of the collective effort’s success or lack of success. The second set defines the shared understanding about allocation of roles and the process of interaction by establishing shared expectations about a) the selection process by which particular actors acquire authority holder roles, b) the definitions identifying one or more categories of addressees expected to follow instructions, and c) the procedures through which the authority holder issues instructions. The third set focus on the outcomes of cooperation through the relationship by defining a) the substantive areas in which the authority holder may issue instructions, b) the bases for assessing the relevance actions mandated in instructions for reaching the goal, and c) the relative efficacy of action paths chosen for reaching the goal as compared to other possible action paths.
Using an authority relationship framework for analyzing cooperation through IGOs highlights the inherently bi-directional nature of IGO-member government activity by viewing their interaction as involving a three-step process in which the IGO as authority holder decides when to issue what instruction, the member state governments as followers react to the instruction with anything from prompt and full compliance through various forms of pushback to outright rejection, and the IGO as authority holder responds to how the followers react with efforts to increase individual compliance with instructions and reinforce continuing acceptance of the authority relationship. Foregrounding the dynamics produced by the interaction of these two streams of perception and action reveals more clearly how far intergovernmental organizations acquire capacity to operate as independent actors, the dynamic ways they maintain that capacity, and how much they influence member governments’ beliefs and actions at different times. The approach fosters better understanding of why, when, and for how long governments choose cooperation through an IGO even in periods of rising unilateralism
The Angel of Art Sees the Future Even as She Flies Backwards: Enabling Deep Relational Encounter Through Participatory Practice-Based Research.
This research addresses the current lack of opportunity within interdisciplinary arts practices for deep one-to-one relational encounters between creative practitioners operating in applied arts, performance, and workshop contexts with participant-subjects. This artistic problem is situated within the wider culture of pervasive social media, which continues to shape our interactions into forms that are characteristically faster, shorter, and more fragmented than ever before. Such dispersal of our attention is also accelerating our inability to deeply focus or relate for any real length of time. These modes of engaging within our technologically permeated, cosmopolitan and global society is escalating relational problems. Coupled with a constant bombardment of unrealistic visual images, mental health difficulties are also consequently rising, cultivating further issues such as identity ‘splitting’, (Lopez-Fernandez, 2019). In the context of the arts, this thesis proposes that such relational lack cannot be solved by one singular art form, one media modality, one existing engagement approach, or within a short participatory timeframe.
Key to the originality of my thesis is the deliberate embodiment of a maternal experience. Feminist Lise Haller-Ross’ proposes that there is a ‘mother shaped hole in the art world’ and that, ‘as with the essence of the doughnut – we don’t need another hole for the doughnut, we need a whole new recipe’ (conference address, 2015). Indeed, her assertion encapsulates a need for different types of artistic and relational ingredients to be found. I propose these can be discovered within particular forms of maternal love; nurture; caring, and through conceptual relational states of courtship; intercourse; gestation, and birth. Furthermore, my maternal emphasis builds on: feminist, artist, and psychotherapist Bracha Ettinger’s (2006; 2015) notions of maternal, cohabitation and carrying; architect and phenomenologist Juhani Pallasmaa’s (2012) views on sensing and feeling; child psychoanalyst Donald Winnicott’s (1971) thoughts on transitional phenomena and perceptions of holding. Such psychotherapeutic and phenomenological theories are imbricated in-action within my multimodal arts processes. Additionally, by deliberately not privileging the ocular, I engage all my project participants senses and distil their multimodal data through an extended form of somatic and artistic Interpretive Phenomenological Analysis (IPA), (Smith, Flowers, and Larkin, 2009). IPA usefully focuses on the importance of the thematic and idiographic in terms of new knowledge generation, with an analytical focus on lived experience. Indeed, whilst the specifics of the participants in my minor and major projects are unique, my research activates and makes valid, findings that are collectively beneficial to the disciplines of applied and interdisciplinary arts; the field of practice-based research, and beyond.
My original contribution to new knowledge as argued by this thesis, comprises both this text exposition and my practice. This sees the final generation of a new multimodal arts Participatory Practice-Based Framework (PartPb). Through this framework, the researcher-practitioner is seen to adopt a maternal role to gently guide project participants through four phases of co-created multimodal artwork generation. The four participatory ‘Phases’ are: Phase 1: Courtship – Digital Dialogues; Phase 2: Intercourse – Performative Encounters; Phase 3: Gestation – Screen Narratives; Phase 4: Birth – Relational Artworks. The framework also contains six researcher-only ‘Stages’: Stage 1: Participant Selection; Stage 2: Checking Distilled Themes; Stage 3: Location and Object Planning; Stage 4: Noticing, Logging, Sourcing; Stage 5: Collaboration and Construction; Stage 6: Releasing, Gifting, Recruiting. This new PartPb framework, is realised within a series of five practice-based (Pb) artworks called, ‘Minor Projects 1-5’, (2015-16) and Final Major Project, ‘Transformational Encounters: Touch, Traction, Transform’ (TETTT), (2018). These projects are likewise shaped through action-research processes of iterative testing, as developed from Candy and Edmonds (2010) Practice-based Research (PbR) trajectory. In my new PartPb framework, Candy, and Edmonds’ PbR processes are originally combined with a form of Fritz and Laura Perl’s Gestalt Experience Cycle (1947). This innovative fusion I come to term as a form of ‘Feeling Architecture,’ which is procedurally proven to hold and carry both researcher and participants alike, safely, ethically, and creatively through all Phases and Stages of artefact generation. Specifically, my new multimodal PartPb framework offers new knowledge to the field of Practice-Based Research (PbR) and practitioners working in multimodal arts and applied performance contexts. Due to its participatory focus, I develop on the term Practice-Based Research, (Candy and Edmonds, 2010) to coin the term Participatory Practice-Based Research, (PartPbR).
The unique combination of multimodal arts and social-psychological methodologies underpinning my framework also has the potential to contribute to broader Arts, Well-Being, and Creative Health agendas, such as the UK government’s Social Prescribing and Arts and Health initiatives. My original framework offers future researchers’ opportunities to further develop, enhance and enrich individual and community well-being through its application to their own projects, and, in doing so, also starts to challenge unhelpful art binaries that still position community arts practices as somehow lesser to higher art disciplines
Optimización del rendimiento y la eficiencia energética en sistemas masivamente paralelos
RESUMEN Los sistemas heterogéneos son cada vez más relevantes, debido a sus capacidades de rendimiento y eficiencia energética, estando presentes en todo tipo de plataformas de cómputo, desde dispositivos embebidos y servidores, hasta nodos HPC de grandes centros de datos. Su complejidad hace que sean habitualmente usados bajo el paradigma de tareas y el modelo de programación host-device. Esto penaliza fuertemente el aprovechamiento de los aceleradores y el consumo energético del sistema, además de dificultar la adaptación de las aplicaciones.
La co-ejecución permite que todos los dispositivos cooperen para computar el mismo problema, consumiendo menos tiempo y energía. No obstante, los programadores deben encargarse de toda la gestión de los dispositivos, la distribución de la carga y la portabilidad del código entre sistemas, complicando notablemente su programación.
Esta tesis ofrece contribuciones para mejorar el rendimiento y la eficiencia energética en estos sistemas masivamente paralelos. Se realizan propuestas que abordan objetivos generalmente contrapuestos: se mejora la usabilidad y la programabilidad, a la vez que se garantiza una mayor abstracción y extensibilidad del sistema, y al mismo tiempo se aumenta el rendimiento, la escalabilidad y la eficiencia energética. Para ello, se proponen dos motores de ejecución con enfoques completamente distintos.
EngineCL, centrado en OpenCL y con una API de alto nivel, favorece la máxima compatibilidad entre todo tipo de dispositivos y proporciona un sistema modular extensible. Su versatilidad permite adaptarlo a entornos para los que no fue concebido, como aplicaciones con ejecuciones restringidas por tiempo o simuladores HPC de dinámica molecular, como el utilizado en un centro de investigación internacional.
Considerando las tendencias industriales y enfatizando la aplicabilidad profesional, CoexecutorRuntime proporciona un sistema flexible centrado en C++/SYCL que dota de soporte a la co-ejecución a la tecnología oneAPI. Este runtime acerca a los programadores al dominio del problema, posibilitando la explotación de estrategias dinámicas adaptativas que mejoran la eficiencia en todo tipo de aplicaciones.ABSTRACT Heterogeneous systems are becoming increasingly relevant, due to their performance and energy efficiency capabilities, being present in all types of computing platforms, from embedded devices and servers to HPC nodes in large data centers. Their complexity implies that they are usually used under the task paradigm and the host-device programming model. This strongly penalizes accelerator utilization and system energy consumption, as well as making it difficult to adapt applications.
Co-execution allows all devices to simultaneously compute the same problem, cooperating to consume less time and energy. However, programmers must handle all device management, workload distribution and code portability between systems, significantly complicating their programming.
This thesis offers contributions to improve performance and energy efficiency in these massively parallel systems. The proposals address the following generally conflicting objectives: usability and programmability are improved, while ensuring enhanced system abstraction and extensibility, and at the same time performance, scalability and energy efficiency are increased. To achieve this, two runtime systems with completely different approaches are proposed.
EngineCL, focused on OpenCL and with a high-level API, provides an extensible modular system and favors maximum compatibility between all types of devices. Its versatility allows it to be adapted to environments for which it was not originally designed, including applications with time-constrained executions or molecular dynamics HPC simulators, such as the one used in an international research center.
Considering industrial trends and emphasizing professional applicability, CoexecutorRuntime provides a flexible C++/SYCL-based system that provides co-execution support for oneAPI technology. This runtime brings programmers closer to the problem domain, enabling the exploitation of dynamic adaptive strategies that improve efficiency in all types of applications.Funding: This PhD has been supported by the Spanish Ministry of Education (FPU16/03299 grant),
the Spanish Science and Technology Commission under contracts TIN2016-76635-C2-2-R
and PID2019-105660RB-C22.
This work has also been partially supported by the Mont-Blanc 3: European Scalable and
Power Efficient HPC Platform based on Low-Power Embedded Technology project (G.A. No.
671697) from the European Union’s Horizon 2020 Research and Innovation Programme
(H2020 Programme). Some activities have also been funded by the Spanish Science and Technology
Commission under contract TIN2016-81840-REDT (CAPAP-H6 network).
The Integration II: Hybrid programming models of Chapter 4 has been partially performed
under the Project HPC-EUROPA3 (INFRAIA-2016-1-730897), with the support of the EC
Research Innovation Action under the H2020 Programme. In particular, the author gratefully
acknowledges the support of the SPMT Department of the High Performance Computing
Center Stuttgart (HLRS)
Conjunctures in Law and Development: Assemblages for Progress in Indian Agricultural Futures
This dissertation asks: how are the legal, political, and social legacies of the Green Revolution and India's incorporation into the global knowledge economy shaping or undermining the emergent discourses, practices, and regulatory rationalities of India's current Climate Smart Agriculture development initiatives? To answer this question, I construct a theoretical/methodological framework that brings together conjunctural analysis, assemblage theory, Foucaultian governmentality, and transnational legal pluralism. I identify two previous historical eras of significant agricultural and developmental change in India: the Green Revolution (1950s-early 1970s) and the liberalization of Indian agriculture as part of India's broader incorporation into the global knowledge economy (1991-mid 2000s). I study the historical relationship between the modern Indian state and Indian farmers across these eras of agricultural and developmental transformation to investigate how they are informing current Climate Smart Agriculture programs, how these contemporary programs work, and the extent to which these programs and the political struggles they incite represent a new historical phase of state power in India. I argue that Climate Smart Agriculture programs and the accompanying introduction of Big Data technology in Indian agriculture should not be understood as a singular event or a unique and novel initiative, but as the most recent project of governmentality mediating the relationship between the Indian state and Indian farmers. This dissertation further shows how relationships between states in the Global South and farmers are shaped by the interplay of technologies (understood both conventionally and in the Foucaultian sense) that are constructed and regulated through the law. I simultaneously demonstrate how the entwined processes of postcolonial state- and subject-making in the domains of agriculture and development always invokes forms of resistance that often result in contradictory regulatory outcomes, which continue to establish the conditions for future political contestation. This dissertation contributes to the field of Socio-legal Studies at large, and the subfields of Law and Development, Law and Globalization/TWAIL, and Green Criminology
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