4,316 research outputs found
Information actors beyond modernity and coloniality in times of climate change:A comparative design ethnography on the making of monitors for sustainable futures in Curaçao and Amsterdam, between 2019-2022
In his dissertation, Mr. Goilo developed a cutting-edge theoretical framework for an Anthropology of Information. This study compares information in the context of modernity in Amsterdam and coloniality in Curaçao through the making process of monitors and develops five ways to understand how information can act towards sustainable futures. The research also discusses how the two contexts, that is modernity and coloniality, have been in informational symbiosis for centuries which is producing negative informational side effects within the age of the Anthropocene. By exploring the modernity-coloniality symbiosis of information, the author explains how scholars, policymakers, and data-analysts can act through historical and structural roots of contemporary global inequities related to the production and distribution of information. Ultimately, the five theses propose conditions towards the collective production of knowledge towards a more sustainable planet
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Cancer Care in Pandemic Times: Building Inclusive Local Health Security in Africa and India
This is a book about improving cancer care in Africa and India that is a child of its pandemic times. It has been collaboratively researched and written by colleagues in Kenya, Tanzania, India and the UK, working within a cross-country, multidisciplinary research project, Innovation for Cancer Care in Africa (ICCA). Since this was a health-focused research project, ICCA researchers during the pandemic not only continued to work on the cancer research project but were also called upon by their governments to respond to immediate pandemic needs. In combining these two concerns, for improving cancer care and responding to pandemic needs, our original project aims have been challenged, deepened and reworked. ICCAâs initial collaborative research focus includedâagainst the grain of most global health literatureâthe potential role of enhanced local production of essential healthcare supplies for improving cancer care in African countries. The pandemic experience has strikingly validated these earlier findings on the importance of industrial development for health care. The pandemic crystallised for researchers and policymakers an often overlooked phenomenon: global health security is built on the foundations of strong local health security. We argue in this book that new analytical thinking from social scientists and others is required on how to build local health security. We use the âlensâ of original research on cancer care in East Africa and India to build up an understanding of the scope for the development of stronger synergies between local health industries and health care, in order to strengthen local health security and develop tools for policy making. The rethinking and reimagining presented here is required for different African countries, for India and the wider world, and this research on cancer care has taught us that this imperative goes much wider than infectious diseases
The end of probation:Successful transition of female ex-offenders with mental impairments who have served long term imprisonment
The successful transition from prison into the community and off probation licence for female ex-offenders can be a difficult time, even more so for those with mental impairments, due to the added barriers they face (Bakken & Visher, 2018; Baillargeon et al., 2009). The aim of this study was to explore this particular group of female ex-offenders with mental impairments and identify how they have been successful in their transition out of probation supervision and towards desistance from crime. This research is important because it focuses on âwhat worksâ for long term support of female ex-offenders and moving towards desistance. Through the use of 20 semi structured interviews with, 10 successful female ex-offenders with mental impairments and, 10 professionals who support female offenders, the current research was able to identify the factors that are needed for successful transitions. Female ex-offender participants were recruited from two women centres as were the professionals that work there. The results identified that whilst the basic needs being met were important in achieving successful transition, it was the emotional support and preparedness that was unavailable and was necessary to further achieve desistance. Housing was a priority for the participants as this provided the foundation for all other support. Strengthening the positive family relationships was a key motivator for the women. However, it was not just the practical factors that were important, it was the meanings that the women had attached to things that made them important factors for their desistance. The findings indicated that services supporting reintegration need to build on long term support that not only considers basic needs provision but also supports resilience and change-management through self-agency and empowerment. However, desistance is a dynamic personal process that can change and adapt overtime and therefore, supporting desistance and what is understood as important may be understood differently at the time in retrospect and so provides recommendations for future research
Machine Learning Approaches for the Prioritisation of Cardiovascular Disease Genes Following Genome- wide Association Study
Genome-wide association studies (GWAS) have revealed thousands of genetic loci, establishing itself as a valuable method for unravelling the complex biology of many diseases. As GWAS has grown in size and improved in study design to detect effects, identifying real causal signals, disentangling from other highly correlated markers associated by linkage disequilibrium (LD) remains challenging. This has severely limited GWAS findings and brought the methodâs value into question. Although thousands of disease susceptibility loci have been reported, causal variants and genes at these loci remain elusive. Post-GWAS analysis aims to dissect the heterogeneity of variant and gene signals. In recent years, machine learning (ML) models have been developed for post-GWAS prioritisation. ML models have ranged from using logistic regression to more complex ensemble models such as random forests and gradient boosting, as well as deep learning models (i.e., neural networks). When combined with functional validation, these methods have shown important translational insights, providing a strong evidence-based approach to direct post-GWAS research. However, ML approaches are in their infancy across biological applications, and as they continue to evolve an evaluation of their robustness for GWAS prioritisation is needed. Here, I investigate the landscape of ML across: selected models, input features, bias risk, and output model performance, with a focus on building a prioritisation framework that is applied to blood pressure GWAS results and tested on re-application to blood lipid traits
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Production networks in the cultural and creative sector: case studies from the publishing industry
The CICERONE project investigates cultural and creative industries through case study research, with a focus on production networks. This report, part of WP2, examines the publishing industry within this framework. It aims to understand the industryâs hidden aspects, address statistical issues in measurement, and explore the industryâs transformation and integration of cultural and economic values. The report provides an overview of the production network, explores statistical challenges, and presents qualitative analyses of two case studies. It concludes by highlighting the potential of the Global Production Network (GPN) approach for analyzing, researching, policymaking, and intervening in the European publishing network.
The CICERONE projectâs case study research delves into the publishing industry, investigating its production networks and examining key aspects often unseen by the public. The report addresses statistical challenges in measuring the industry and sheds light on its ongoing transformations and integration of cultural and economic values. It presents an overview of the production network, explores statistical issues, and provides qualitative analyses of two case studies. The report emphasizes the potential of the GPN approach for analyzing and intervening in the European publishing network, ultimately contributing to research, policymaking, and understanding within the industry
Current issues of the management of socio-economic systems in terms of globalization challenges
The authors of the scientific monograph have come to the conclusion that the management of socio-economic systems in the terms of global challenges requires the use of mechanisms to ensure security, optimise the use of resource potential, increase competitiveness, and provide state support to economic entities. Basic research focuses on assessment of economic entities in the terms of global challenges, analysis of the financial system, migration flows, logistics and product exports, territorial development. The research results have been implemented in the different decision-making models in the context of global challenges, strategic planning, financial and food security, education management, information technology and innovation. The results of the study can be used in the developing of directions, programmes and strategies for sustainable development of economic entities and regions, increasing the competitiveness of products and services, decision-making at the level of ministries and agencies that regulate the processes of managing socio-economic systems. The results can also be used by students and young scientists in the educational process and conducting scientific research on the management of socio-economic systems in the terms of global challenges
Volume 45: Full Issue
Humboldt Journal of Social Relations 50th Anniversary Edition: Becoming a Polytechni
Seeing Ordinary Objects: The Minimal Condition, Amodal Completion, and Mental Files
This thesis seeks to explain the way in which we see ordinary objects like books, tables, and apples. Specifically, it is an attempt to explain the way that we are connected to the ordinary objects that populate our world despite the fact that we usually only receive sensory stimulation from small parts of them: their surfaces. I will suggest some conditions that must obtain for ordinary objects to be seen and present a conceptual schema based on the notion of âmental filesâ that can be used to explain this phenomenon. Mental files, I argue, can not only be used to explain our perceptual connection to ordinary objects but can also dissolve some of the epistemic worries raised by amodal completion and the problem of incomplete sensory information
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