Results for 'data-driven control'

969 found
Order:
  1.  42
    Data-Driven Model-Free Adaptive Control of Particle Quality in Drug Development Phase of Spray Fluidized-Bed Granulation Process.Zhengsong Wang, Dakuo He, Xu Zhu, Jiahuan Luo, Yu Liang & Xu Wang - 2017 - Complexity:1-17.
    A novel data-driven model-free adaptive control approach is first proposed by combining the advantages of model-free adaptive control and data-driven optimal iterative learning control, and then its stability and convergence analysis is given to prove algorithm stability and asymptotical convergence of tracking error. Besides, the parameters of presented approach are adaptively adjusted with fuzzy logic to determine the occupied proportions of MFAC and DDOILC according to their different control performances in different (...) stages. Lastly, the proposed fuzzy DDMFAC approach is applied to the control of particle quality in drug development phase of spray fluidized-bed granulation process, and its control effect is compared with MFAC and DDOILC and their fuzzy forms, in which the parameters of MFAC and DDOILC are adaptively adjusted with fuzzy logic. The effectiveness of the presented FDDMFAC approach is verified by a series of simulations. (shrink)
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  2.  35
    Data-Driven Superheating Control of Organic Rankine Cycle Processes.Jianhua Zhang, Xiao Tian, Zhengmao Zhu & Mifeng Ren - 2018 - Complexity 2018:1-8.
    In this paper, a data-driven superheating control strategy is developed for organic Rankine cycle processes. Due to non-Gaussian stochastic disturbances imposed on heat sources, the quantized minimum error entropy is adopted to construct the performance index of superheating control systems. Furthermore, particle swarm optimization algorithm is applied to obtain optimal control law by minimizing the performance index. The implementation procedures of the presented superheating control system in an ORC-based waste heat recovery process are presented. (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  3.  19
    The datafication revolution in criminal justice: An empirical exploration of frames portraying data-driven technologies for crime prevention and control.Pamela Ugwudike & Anita Lavorgna - 2021 - Big Data and Society 8 (2).
    The proliferation of big data analytics in criminal justice suggests that there are positive frames and imaginaries legitimising them and depicting them as the panacea for efficient crime control. Criminological and criminal justice scholarship has paid insufficient attention to these frames and their accompanying narratives. To address the gap created by the lack of theoretical and empirical insight in this area, this article draws on a study that systematically reviewed and compared multidisciplinary academic abstracts on the data- (...) tools now shaping decision-making across several justice systems. Using insights distilled from the study, the article proposes three frames for understanding how the technologies are portrayed. Inherent in the frames are a set of narratives emphasising their ostensible status as vital crime control mechanisms. These narratives obfuscate the harms of data-driven technologies and evince idealistic imaginaries of their capabilities. The narratives are bolstered by unequal structural arrangements, specifically the unevenly distributed digital capital with which some are empowered to participate in technology development for criminal justice application and other forms of penal governance. In unravelling these issues, the article advances current understanding of the dynamics that sustain the depiction of data-driven technologies as prime crime prevention and law enforcement tools. (shrink)
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  4.  29
    A data-driven machine learning approach for brain-computer interfaces targeting lower limb neuroprosthetics.Arnau Dillen, Elke Lathouwers, Aleksandar Miladinović, Uros Marusic, Fakhredinne Ghaffari, Olivier Romain, Romain Meeusen & Kevin De Pauw - 2022 - Frontiers in Human Neuroscience 16.
    Prosthetic devices that replace a lost limb have become increasingly performant in recent years. Recent advances in both software and hardware allow for the decoding of electroencephalogram signals to improve the control of active prostheses with brain-computer interfaces. Most BCI research is focused on the upper body. Although BCI research for the lower extremities has increased in recent years, there are still gaps in our knowledge of the neural patterns associated with lower limb movement. Therefore, the main objective of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  5.  21
    A data-driven machine learning approach for brain-computer interfaces targeting lower limb neuroprosthetics.Arnau Dillen, Elke Lathouwers, Aleksandar Miladinović, Uros Marusic, Fakhreddine Ghaffari, Olivier Romain, Romain Meeusen & Kevin De Pauw - 2022 - Frontiers in Human Neuroscience 16.
    Prosthetic devices that replace a lost limb have become increasingly performant in recent years. Recent advances in both software and hardware allow for the decoding of electroencephalogram signals to improve the control of active prostheses with brain-computer interfaces. Most BCI research is focused on the upper body. Although BCI research for the lower extremities has increased in recent years, there are still gaps in our knowledge of the neural patterns associated with lower limb movement. Therefore, the main objective of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  6.  7
    Data ratcheting and data-driven organisational change in transport.Liam Heaphy - 2019 - Big Data and Society 6 (2).
    This article explores the process by which intelligent transport system technologies have further advanced a data-driven culture in public transport and traffic control. Based on 12 interviews with transport engineers and fieldwork visits to three control rooms, it follows the implementation of Real-Time Passenger Information in Dublin and the various technologies on which it is dependent. It uses the concept of ‘data ratcheting’ to describe how a new data-driven rational order supplants a gradualist, (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  7.  50
    Just data? Solidarity and justice in data-driven medicine.Matthias Braun & Patrik Hummel - 2020 - Life Sciences, Society and Policy 16 (1):1-18.
    This paper argues that data-driven medicine gives rise to a particular normative challenge. Against the backdrop of a distinction between the good and the right, harnessing personal health data towards the development and refinement of data-driven medicine is to be welcomed from the perspective of the good. Enacting solidarity drives progress in research and clinical practice. At the same time, such acts of sharing could—especially considering current developments in big data and artificial intelligence—compromise the (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   9 citations  
  8.  37
    Classroom Concordancing and Second Language Motivational Self-System: A Data-Driven Learning Approach.Javad Zare & Sedigheh Karimpour - 2022 - Frontiers in Psychology 13.
    Research shows that exploring language corpora through data-driven learning plays a significant role in language learning. Nevertheless, it is not clear if using concordancing as an application of DDL affects the learners’ second language motivation. To address this gap, the current study adopted a triangulation design, validating quantitative data model, and a quasi-experimental design. Ninety English-major university students with an intermediate level of English language proficiency, divided into control and experimental groups, took part in the study. (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  9.  53
    Are strategy shifts caused by data-driven processes or by voluntary processes?Hilde Haider, Peter A. Frensch & Daniel Joram - 2005 - Consciousness and Cognition 14 (3):495-519.
    The present research investigates the role of voluntary, conscious processing in strategy change. In 2 experiments, we address whether the switch to a new strategy is the result of data - driven, automatic processes or of voluntary processes. Experiment 1 demonstrates that participants performing an alphabet verification task are able to transfer a newly adopted strategy to dissimilar information never encountered before, verbally describe the task regularity that allows for the generation and application of the new strategy immediately (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  10.  24
    Why Personal Dreams Matter: How professionals affectively engage with the promises surrounding data-driven healthcare in Europe.Antoinette de Bont, Anne Marie Weggelaar-Jansen, Johanna Kostenzer, Rik Wehrens & Marthe Stevens - 2022 - Big Data and Society 9 (1).
    Recent buzzes around big data, data science and artificial intelligence portray a data-driven future for healthcare. As a response, Europe's key players have stimulated the use of big data technologies to make healthcare more efficient and effective. Critical Data Studies and Science and Technology Studies have developed many concepts to reflect on such overly positive narratives and conduct critical policy evaluations. In this study, we argue that there is also much to be learned from (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  11.  35
    Every word you say: algorithmic mediation and implications of data-driven scholarly communication.Luciana Monteiro-Krebs, Bieke Zaman, David Geerts & Sônia Elisa Caregnato - 2023 - AI and Society 38 (2):1003-1012.
    Implications of algorithmic mediation can be studied through the artefact itself, peoples’ practices, and the social/political/economical arrangements that affect and are affected by such interactions. Most studies in Academic social media (ASM) focus on one of these elements at a time, either examining design elements or the users’ behaviour on and perceptions of such platforms. We take a multi-faceted approach using affordances as a lens to analyze practices and arrangements traversed by algorithmic mediation. Following our earlier studies that examined the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  12.  93
    Data sovereignty: A review.Peter Dabrock, Max Tretter, Matthias Braun & Patrik Hummel - 2021 - Big Data and Society 8 (1).
    New data-driven technologies yield benefits and potentials, but also confront different agents and stakeholders with challenges in retaining control over their data. Our goal in this study is to arrive at a clear picture of what is meant by data sovereignty in such problem settings. To this end, we review 341 publications and analyze the frequency of different notions such as data sovereignty, digital sovereignty, and cyber sovereignty. We go on to map agents they (...)
    Direct download  
     
    Export citation  
     
    Bookmark   9 citations  
  13.  36
    Towards data justice? The ambiguity of anti-surveillance resistance in political activism.Jonathan Cable, Arne Hintz & Lina Dencik - 2016 - Big Data and Society 3 (2).
    The Snowden leaks, first published in June 2013, provided unprecedented insights into the operations of state-corporate surveillance, highlighting the extent to which everyday communication is integrated into an extensive regime of control that relies on the ‘datafication’ of social life. Whilst such data-driven forms of governance have significant implications for citizenship and society, resistance to surveillance in the wake of the Snowden leaks has predominantly centred on techno-legal responses relating to the development and use of encryption and (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   17 citations  
  14.  26
    Learning social navigation from demonstrations with conditional neural processes.Yigit Yildirim & Emre Ugur - 2022 - Interaction Studies 23 (3):427-468.
    Sociability is essential for modern robots to increase their acceptability in human environments. Traditional techniques use manually engineered utility functions inspired by observing pedestrian behaviors to achieve social navigation. However, social aspects of navigation are diverse, changing across different types of environments, societies, and population densities, making it unrealistic to use hand-crafted techniques in each domain. This paper presents a data-driven navigation architecture that uses state-of-the-art neural architectures, namely Conditional Neural Processes, to learn global and local controllers of (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  15.  32
    A New Approach to Modeling and Controlling a Pneumatic Muscle Actuator-Driven Setup Using Back Propagation Neural Networks.Jun Zhong, Xu Zhou & Minzhou Luo - 2018 - Complexity 2018:1-9.
    Pneumatic muscle actuators own excellent compliance and a high power-to-weight ratio and have been widely used in bionic robots and rehabilitated robots. However, the high nonlinear characteristics of PMAs due to inherent construction and pneumatic driving principle bring great challenges in applications acquired accurately modeling and controlling. To tackle the tricky problem, a single PMA mass setup is constructed, and a back propagation neural network is employed to identify the dynamics of the setup. An offline model is built up using (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  16. AI-Driven Energy Efficiency in Smart Buildings: Optimizing Consumption and Reducing Carbon Footprints.Eric Garcia - manuscript
    Buildings account for a significant portion of global energy consumption and carbon emissions, making energy efficiency a critical focus for urban sustainability. Traditional building management systems often lack the adaptability and precision needed to optimize energy usage dynamically. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance energy efficiency in smart buildings by enabling real-time monitoring, predictive maintenance, and adaptive control systems. By integrating data from smart meters, occupancy sensors, and environmental monitors, cities can reduce (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  17.  38
    Data privacy protection in scientific publications: process implementation at a pharmaceutical company.Friedrich Maritsch, Ingeborg Cil, Colin McKinnon, Jesse Potash, Nicole Baumgartner, Valérie Philippon & Borislava G. Pavlova - 2022 - BMC Medical Ethics 23 (1):1-10.
    Background Sharing anonymized/de-identified clinical trial data and publishing research outcomes in scientific journals, or presenting them at conferences, is key to data-driven scientific exchange. However, when data from scientific publications are linked to other publicly available personal information, the risk of reidentification of trial participants increases, raising privacy concerns. Therefore, we defined a set of criteria allowing us to determine and minimize the risk of data reidentification. We also implemented a review process at Takeda for (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  18.  8
    Data as performance – Showcasing cities through open data maps.Morgan Currie - 2020 - Big Data and Society 7 (1).
    This article describes how the City of Los Angeles is showcasing data-driven services to the public through dynamic visualisations of open data. I frame an analysis of this aspect of datafication in local government through linguistics and cultural theory; drawing on this set of literature I theorise the use of public data as both a performative tool and a performance of data-driven city services. I then discuss examples of interactive maps on the City of (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  19.  29
    Big Data Dreams and Reality in Shenzhen: An Investigation of Smart City Implementation in China.Genia Kostka & Jelena Große-Bley - 2021 - Big Data and Society 8 (2).
    Chinese cities are increasingly using digital technologies to address urban problems and govern society. However, little is known about how this digital transition has been implemented. This study explores the introduction of digital governance in Shenzhen, one of China's most advanced smart cities. We show that, at the local level, the successful implementation of digital systems faces numerous hurdles in long-standing data management and bureaucratic practices that are at least as challenging as the technical problems. Furthermore, the study finds (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  20. Public perceptions of good data management: Findings from a UK-based survey.Rhianne Jones, Robin Steedman, Helen Kennedy & Todd Hartman - 2020 - Big Data and Society 7 (1).
    Low levels of public trust in data practices have led to growing calls for changes to data-driven systems, and in the EU, the General Data Protection Regulation provides a legal motivation for such changes. Data management is a vital component of data-driven systems, but what constitutes ‘good’ data management is not straightforward. Academic attention is turning to the question of what ‘good data’ might look like more generally, but public views are (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   2 citations  
  21.  46
    Model driven quantification of individual and collective cell migration.Caroline Rosello, Pascal Ballet, Emmanuelle Planus & Philippe Tracqui - 2004 - Acta Biotheoretica 52 (4):343-363.
    While the control of cell migration by biochemical and biophysical factors is largely documented, a precise quantification of cell migration parameters in different experimental contexts is still questionable. Indeed, these phenomenological parameters can be evaluated from data obtained either at the cell population level or at the individual cell level. However, the range within which both characterizations of cell migration are equivalent remains unclear. We analyse here to which extent both sources of data could be integrated within (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  22. The Other Side of Cognitive Control: Can a Lack of Cognitive Control Benefit Language and Cognition?Evangelia G. Chrysikou, Jared M. Novick, John C. Trueswell & Sharon L. Thompson-Schill - 2011 - Topics in Cognitive Science 3 (2):253-256.
    Cognitive control refers to the regulation of mental activity to support flexible cognition across different domains. Cragg and Nation (2010) propose that the development of cognitive control in children parallels the development of language abilities, particularly inner speech. We suggest that children’s late development of cognitive control also mirrors their limited ability to revise misinterpretations of sentence meaning. Moreover, we argue that for certain tasks, a tradeoff between bottom-up (data-driven) and top-down (rule-based) thinking may actually (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  23.  3
    Perceptions of AI-driven news among contemporary audiences: a study of trust, engagement, and impact.Gregory Gondwe - forthcoming - AI and Society:1-12.
    This study investigates audience perceptions of AI-generated news across ten African countries, focusing on trust, bias, and transparency. Using a non-probability cross-sectional online survey, data were collected from 1960 participants between May and July 2024. The sample encompassed diverse demographics, leveraging social media for broad reach. The study revealed that trust in AI-generated news is generally neutral, with significant variations influenced by demographic factors, particularly age. A moderate positive correlation between perceived bias and trust suggests that awareness of potential (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  24.  20
    Dose-Response Transcranial Electrical Stimulation Study Design: A Well-Controlled Adaptive Seamless Bayesian Method to Illuminate Negative Valence Role in Tinnitus Perception.Iman Ghodratitoostani, Oilson A. Gonzatto, Zahra Vaziri, Alexandre C. B. Delbem, Bahador Makkiabadi, Abhishek Datta, Chris Thomas, Miguel A. Hyppolito, Antonio C. D. Santos, Francisco Louzada & João Pereira Leite - 2022 - Frontiers in Human Neuroscience 16.
    The use of transcranial Electrical Stimulation in the modulation of cognitive brain functions to improve neuropsychiatric conditions has extensively increased over the decades. tES techniques have also raised new challenges associated with study design, stimulation protocol, functional specificity, and dose-response relationship. In this paper, we addressed challenges through the emerging methodology to investigate the dose-response relationship of High Definition-transcranial Direct Current Stimulation, identifying the role of negative valence in tinnitus perception. In light of the neurofunctional testable framework and tES application, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  25.  61
    Does distance from the equator predict self-control? Lessons from the Human Penguin Project.Hans IJzerman, Marija V. Čolić, Marie Hennecke, Youngki Hong, Chuan-Peng Hu, Jennifer Joy-Gaba, Dušanka Lazarević, Ljiljana B. Lazarević, Michal Parzuchowski, Kyle G. Ratner, Thomas Schubert, Astrid Schütz, Darko Stojilović, Sophia C. Weissgerber, Janis Zickfeld & Siegwart Lindenberg - 2017 - Behavioral and Brain Sciences 40:e86.
    We comment on the proposition “that lower temperatures and especially greater seasonal variation in temperature call for individuals and societies to adopt … a greater degree of self-control” (Van Lange et al., sect. 3, para. 4) for which we cannot find empirical support in a large data set with data-driven analyses. After providing greater nuance in our theoretical review, we suggest that Van Lange et al. revisit their model with an eye toward the social determinants of (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark  
  26.  27
    Carceral algorithms and the history of control: An analysis of the Pennsylvania additive classification tool.Nathan C. Ryan, Darakhshan Mir, Swarup Dhar & Vanessa A. Massaro - 2022 - Big Data and Society 9 (1).
    Scholars have focused on algorithms used during sentencing, bail, and parole, but little work explores what we term “carceral algorithms” that are used during incarceration. This paper is focused on the Pennsylvania Additive Classification Tool used to classify prisoners’ custody levels while they are incarcerated. Algorithms that are used during incarceration warrant deeper attention by scholars because they have the power to enact the lived reality of the prisoner. The algorithm in this case determines the likelihood a person would endure (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  27.  24
    Power Prediction-Based Model Predictive Control for Energy Management in Land and Air Vehicle with Turboshaft Engine.Zhengchao Wei, Yue Ma, Changle Xiang & Dabo Liu - 2021 - Complexity 2021:1-24.
    In recent years, the green aviation technology draws more attention, and more hybrid power units have been applied to the aerial vehicles. To achieve the high performance and long lifetime of components during varied working conditions, the effective regulation of the energy management is necessary for the vehicles with hybrid power unit. In this paper, power prediction-based model predictive control for energy management strategy is proposed for the vehicle equipped with HPU based on turboshaft engine in order to maintain (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  28.  33
    Teachers and learners in a time of big data.Rachel Buchanan & Amy McPherson - 2019 - Journal of Philosophy in Schools 6 (1):26-43.
    Policy and technological transformation have coalesced to usher in massive changes to educational systems over the past two decades. Teachers’ roles, subjectivities and professional identities have been subject to sweeping changes enabled by sophisticated forms of governance. Simultaneously, students have been recast as ‘learners’; like teachers, learners have become subject to new forms of governance, through technological surveillance and datafication. This paper focuses on the intersection of the metrics driven approach to education and the political as a way to (...)
    No categories
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  29.  14
    The optical unconscious of Big Data: Datafication of vision and care for unknown futures.Daniela Agostinho - 2019 - Big Data and Society 6 (1).
    Ever since Big Data became a mot du jour across social fields, optical metaphors such as the microscope began to surface in popular discourse to describe and qualify its epistemological impact. While the persistence of optics seems to be at odds with the datafication of vision, this article suggests that the optical metaphor offers an opportunity to reflect about the material consequences of the modes of seeing and knowing that currently shape datafied worlds. Drawing on feminist new materialism, the (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  30.  34
    Fairness & friends in the data science era.Barbara Catania, Giovanna Guerrini & Chiara Accinelli - 2023 - AI and Society 38 (2):721-731.
    The data science era is characterized by data-driven automated decision systems (ADS) enabling, through data analytics and machine learning, automated decisions in many contexts, deeply impacting our lives. As such, their downsides and potential risks are becoming more and more evident: technical solutions, alone, are not sufficient and an interdisciplinary approach is needed. Consequently, ADS should evolve into data-informed ADS, which take humans in the loop in all the data processing steps. Data-informed ADS (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  31.  19
    Data autonomy: beyond personal data abuse, sphere transgression, and datafied gentrification in smart cities.Oskar J. Gstrein - 2024 - Ethics and Information Technology 26 (3):1-10.
    The ‘smart city’ has been driven by advances in information and communication technologies, with the aim of integrating these technologies with urban infrastructures for improved optimisation, automation and control. Smart cities have emerged as a response to the challenges faced by megacities and are likely to manifest the ‘datafying’ society in the public space. However, the pervasive nature of data collection, continuous analysis and inference, and long-term data storage result in a potentially problematic reconfiguration of society (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  32.  23
    Computational frameworks for zoonotic disease control in Society 5.0: opportunities, challenges and future research directions. [REVIEW]Anil Kumar Bag & Diganta Sengupta - forthcoming - AI and Society:1-30.
    This study investigates the intersection of existing computational frameworks for zoonotic disease control within the emerging societal paradigm, Society 5.0. Technologies in human-centric computing can facilitate real-time data collection and analysis, enabling early detection and rapid response to zoonotic disease outbreaks, thereby enhancing surveillance and containment efforts for public health protection. It aims to explore challenges and opportunities within these frameworks and delineate future research directions to serve as a benchmark. Conducting a three-layered analysis, the study identifies high-level (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  33.  26
    Afterword: data, knowledge, and e-discovery. [REVIEW]David D. Lewis - 2010 - Artificial Intelligence and Law 18 (4):481-486.
    Research in Artificial Intelligence (AI) and the Law has maintained an emphasis on knowledge representation and formal reasoning during a period when statistical, data-driven approaches have ascended to dominance within AI as a whole. Electronic discovery is a legal application area, with substantial commercial and research interest, where there are compelling arguments in favor of both empirical and knowledge-based approaches. We discuss the cases for both perspectives, as well as the opportunities for beneficial synergies.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  34.  76
    Design for operator contestability: control over autonomous systems by introducing defeaters.Herman Veluwenkamp & Stefan Buijsman - 2025 - AI and Ethics 1.
    This paper introduces the concept of Operator Contestability in AI systems: the principle that those overseeing AI systems (operators) must have the necessary control to be accountable for the decisions made by these algorithms. We argue that designers have a duty to ensure operator contestability. We demonstrate how this duty can be fulfilled by applying the'Design for Defeaters' framework, which provides strategies to embed tools within AI systems that enable operators to challenge decisions. Defeaters are designed to contest either (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  35.  15
    Government intervention, internal control, and technology innovation of SMEs in China.Sun Ye, Sun Yi, Shao Fangjing & Qi Yuzhu - 2022 - Frontiers in Psychology 13.
    Under the innovation-driven development strategy, the improvement of the core competitiveness of enterprises demonstrates increasing dependence on the ability of technological innovation. In this article, data of A-share listed companies in Shanghai and Shenzhen stock markets from 2008 to 2018 were selected as research samples for the analysis of the influencing factors and mechanism of enterprise technological innovation from the dual perspectives of the external economic environment and internal management system based on the use of the fixed-effect model. (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  36.  37
    Reality vs. rhetoric – a survey and evaluation of tsetse control in East Africa.Bob Brightwell, Bob Dransfield, Ian Maudlin, Peter Stevenson & Alex Shaw - 2001 - Agriculture and Human Values 18 (2):219-233.
    Odor baited methods of controlling tsetse have received considerable attention as ecologically friendly ways for African farmers to reduce their levels of livestock trypanosomosis. Over the last decade, a number of tsetse control projects have been set up in East Africa using these methods. Although much has been written, few hard data are available regarding their ongoing success, problems, and sustainability. To evaluate the situation on the ground, the authors conducted a series of site visits to a number (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  37.  30
    Superposition of COVID‐19 waves, anticipating a sustained wave, and lessons for the future.Joel Weijia Lai & Kang Hao Cheong - 2020 - Bioessays 42 (12):2000178.
    The 2019 coronavirus (COVID‐19), also known as SARS‐CoV‐2, is highly pathogenic and virulent, and it spreads very quickly through human‐to‐human contact. In response to the growing number of cases, governments across the spectrum of affected countries have adopted different strategies in implementing control measures, in a hope to reduce the number of new cases. However, 5 months after the first confirmed case, countries like the United States of America (US) seems to be heading towards a trajectory that indicates a (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  38.  10
    Data, AI and the Dialectics of More.Mark Jarzombek - 2023 - Washington University Review of Philosophy 3:93-99.
    The attempt by the digital forces to ‘naturalize’ the digital and thus to make it one with our ontology raises a whole host of issues about how to identify the Self. The multi-pronged process of naturalization are driven by a particular dynamic: the ‘more’ of data. Data is not a static pile of information, but only works within strategies of accumulation. Businesses and academe have bought into this strategy – addicted to its potential for control (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  39.  34
    Technique without theory or theory from technique? An examination of practical, philosophical, and foundational issues in data mining.A. R. Korukonda - 2007 - AI and Society 21 (3):347-355.
    In this paper, it is argued that although data mining (DM) is being touted as a solution to many business problems and is basking in the glory of electronic business environments of today, as practiced currently, it reflects a preoccupation with short-run commercial applications and a neglect of the underlying theoretical issues. Although an argument can be made that theoretical precedence is not a necessary prerequisite for practical application or for commercial success, it can also be argued that an (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  40.  78
    Strategic Risk-Taking Propensity: The Role of Ethical Climate and Marketing Output Control.Amit Saini & Kelly D. Martin - 2009 - Journal of Business Ethics 90 (4):593-606.
    In the wake of the current financial crises triggered by risky mortgage-backed securities, the question of ethics and risk-taking is once again at the front and center for both practitioners and academics. Although risk-taking is considered an integral part of strategic decision-making, sometimes firms could be propelled to take risks driven by reasons other than calculated strategic choices. The authors argue that a firm's risk-taking propensity is impacted by its ethical climate (egoistic or benevolent) and its emphasis on output (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   10 citations  
  41.  34
    Efficacy and Brain Imaging Correlates of an Immersive Motor Imagery BCI-Driven VR System for Upper Limb Motor Rehabilitation: A Clinical Case Report.Athanasios Vourvopoulos, Carolina Jorge, Rodolfo Abreu, Patrícia Figueiredo, Jean-Claude Fernandes & Sergi Bermúdez I. Badia - 2019 - Frontiers in Human Neuroscience 13:460149.
    To maximize brain plasticity after stroke, several rehabilitation strategies have been explored, including the use of intensive motor training, motor imagery, and action observation. Growing evidence of the positive impact of virtual reality (VR) techniques on recovery following stroke has been shown. However, most VR tools are designed to exploit active movement, and hence patients with low level of motor control cannot fully benefit from them. Consequently, the idea of directly training the central nervous system has been promoted by (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  42.  63
    Can animal data translate to innovations necessary for a new era of patient-centred and individualised healthcare? Bias in preclinical animal research.Susan Bridgwood Green - 2015 - BMC Medical Ethics 16 (1):1-14.
    BackgroundThe public and healthcare workers have a high expectation of animal research which they perceive as necessary to predict the safety and efficacy of drugs before testing in clinical trials. However, the expectation is not always realised and there is evidence that the research often fails to stand up to scientific scrutiny and its 'predictive value' is either weak or absent.DiscussionProblems with the use of animals as models of humans arise from a variety of biases and systemic failures including: 1) (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  43.  13
    Protocol for the development of a CONSORT extension for RCTs using cohorts and routinely collected health data.Brett D. Thombs, David Torgerson, Maureen Sauvé, David Erlinge, Eric I. Benchimol, Helena M. Verkooijen, Rudolf Uher, Lehana Thabane, Tjeerd P. van Staa, Kimberly A. Mc Cord, Marion K. Campbell, Philippe Ravaud, Isabelle Boutron, David Moher, Sinéad M. Langan, Merrick Zwarenstein, Chris Gale, Clare Relton, Ole Fröbert, Margaret Sampson, Lars G. Hemkens, Edmund Juszczak & Linda Kwakkenbos - 2018 - Research Integrity and Peer Review 3 (1).
    BackgroundRandomized controlled trials (RCTs) are often complex and expensive to perform. Less than one third achieve planned recruitment targets, follow-up can be labor-intensive, and many have limited real-world generalizability. Designs for RCTs conducted using cohorts and routinely collected health data, including registries, electronic health records, and administrative databases, have been proposed to address these challenges and are being rapidly adopted. These designs, however, are relatively recent innovations, and published RCT reports often do not describe important aspects of their methodology (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  44.  75
    Integrative medicine: partnership or control?Zuzana Parusnikova - 2002 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 33 (1):169-186.
    Complementary and alternative medicine is becoming increasingly popular in western countries, with estimates of CAM usage as high as 40%. This has prompted a change of attitude of the medical establishment: the initial dismissal of CAM is being replaced by a drive to integrate CAM into the mainstream. Two possible explanations for this integration thrust are considered. Firstly, integration could be motivated largely by cognitive interest in CAM. Secondly, integration could be mainly power-driven, aimed at controlling the alternative movement (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  45.  27
    Beyond federated data: a data commoning proposition for the EU’s citizen-centric digital strategy.Stefano Calzati & Bastiaan van Loenen - 2025 - AI and Society 40 (2):945-957.
    In various official documents, the European Union has declared its goal to pursue a citizen-centric governance of digital transformation. Through a critical review of several of these documents, here we show how “citizen-centric” is more a glamouring than a driving concept. De facto, the EU is enabling a federated data system that is corporate-driven, economic-oriented, and GDPR-compliant; in other words, a Digital Single Market (DSM). This leaves out societal and collective-level dimensions of digital transformation—such as social inclusion, digital (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  46.  43
    Cybersyn, big data, variety engineering and governance.Raul Espejo - 2022 - AI and Society 37 (3):1163-1177.
    This contribution offers reflections about Chilean Cybersyn, 50 years ago. In recent years, Cybersyn, has received significant attention. It was the brainchild of Stafford Beer, who conceived it to support the transformation of the Chilean economy from its bureaucratic history to hopefully create a vibrant and modern society, driven by cybernetic tools. These aspects have received much attention in recent times; however, in this contribution, I want to discuss how working in Cybersyn influenced my work after the coup of (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  47.  25
    Developmental Trajectories in Diagnostic Reasoning: Understanding Data Are Confounded Develops Independently of Choosing Informative Interventions to Resolve Confounded Data.April Moeller, Beate Sodian & David M. Sobel - 2022 - Frontiers in Psychology 13:800226.
    Two facets of diagnostic reasoning related to scientific thinking are recognizing the difference between confounded and unconfounded evidence and selecting appropriate interventions that could provide learners the evidence necessary to make an appropriate causal conclusion (i.e., the control-of-variables strategy). The present study investigates both these abilities in 3- to 6-year-old children (N= 57). We found both competence and developmental progress in the capacity to recognize that evidence is confounded. Similarly, children performed above chance in some tasks testing for the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  48.  43
    Perspectives of patients and clinicians on big data and AI in health: a comparative empirical investigation.Patrik Hummel, Matthias Braun, Serena Bischoff, David Samhammer, Katharina Seitz, Peter A. Fasching & Peter Dabrock - 2024 - AI and Society 39 (6):2973-2987.
    Background Big data and AI applications now play a major role in many health contexts. Much research has already been conducted on ethical and social challenges associated with these technologies. Likewise, there are already some studies that investigate empirically which values and attitudes play a role in connection with their design and implementation. What is still in its infancy, however, is the comparative investigation of the perspectives of different stakeholders. Methods To explore this issue in a multi-faceted manner, we (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  49.  9
    Tracking ambivalence: an existential critique of datafication in the context of chronic pain.Michelle Charette - 2024 - Medicine, Health Care and Philosophy 28 (1):33-44.
    In recent years, data-driven approaches to chronic pain care have increased dramatically. However, people living with chronic pain are ambivalent about datafication practices. Drawing on in-depth interviews with individuals living with chronic pain, I discuss and analyze this ambivalence. On the one hand, participants imbibe the promissory rhetoric of data as that which may organize and control the body in pain. On the other hand, they dismiss and critique the type of data collected. This micro-level (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  50.  5
    ‘Datafied dividuals and learnified potentials’: The coloniality of datafication in an era of learnification.Thomas Delahunty - forthcoming - Educational Philosophy and Theory.
    Widespread popular discourse, at the time of writing, is centring on the capabilities of AI technologies, among others, in utilising the readily available mass of data to augment claimed educational problems. These positions often elide the unobjective nature of algorithms and the socio-politically infused assemblages of data available, situated within the neoliberalist scientism dominating educational policy discourse. The simplicity with which datafication treats education has led to a global culture of data-driven techno-rationality that affords ultra-rapid forms (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
1 — 50 / 969