scholarly journals The postdigital turn: Philosophy, education, research

2021 ◽  
pp. 147821032110627
Author(s):  
Petar Jandrić ◽  
Jeremy Knox

This article develops a post-determinist and a post-instrumentalist understanding of education and educational research through the lens of postdigital theory. We begin with historicizing current postdigital research by showing its intellectual ancestry and recognizing its rapidly changing nature. We move on to current state of the art, which we present in three wide themes. The first theme is the great convergence of various lower-level techno-scientific convergences, such as analogue–digital, physics–biology, and biology–information, which results in new epistemologies, ontologies and practices. The second theme is some consequences of the great convergence for education and pedagogy, which result in new postdigital ecopedagogies. The third theme is postdigital research, which is reconfigured by the great convergence towards a closer collaboration between traditional scientific fields and disciplines. We briefly outline four such reconfigurations (multidisciplinary, interdisciplinarity, transdisciplinarity, and antidisciplinarity) and their implications. The article concludes with a brief list of directions for future work in the field.

2013 ◽  
Vol 5 (1) ◽  
pp. 53-63 ◽  
Author(s):  
Alfredo Tirado-Ramos ◽  
Chris Kelley

Simulating the transmission of HIV requires a model framework that can account for the complex nature of HIV transmission. In this paper the authors present the current state of the art for simulating HIV with agent-based models and highlight some of the significant contributions of current research. The authors then propose opportunities for future work including their plan that involves identifying and monitoring high-risk drug users that can potentially initiate high-risk infection propagation networks.


2011 ◽  
Vol 9 (1) ◽  
Author(s):  
Jade Sheen

The third annual International Conference of Education, Research and Innovation (ICERI 2010) was held in Madrid (Spain) on the 15th, 16th and 17th of November, 2010. ICERI 2010 was designed as an international forum for educators to share projects and innovations in educational research and practice.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Junfeng Yang ◽  
Yuwen Huang ◽  
Fuxian Huang ◽  
Gongping Yang

Photoplethysmography (PPG) biometric recognition has recently received considerable attention and is considered to be a promising biometric trait. Although some promising results on PPG biometric recognition have been reported, challenges in noise sensitivity and poor robustness remain. To address these issues, a PPG biometric recognition framework is presented in this article, that is, a PPG biometric recognition model based on a sparse softmax vector and k-nearest neighbor. First, raw PPG data are rerepresented by sliding window scanning. Second, three-layer features are extracted, and the features of each layer are represented by a sparse softmax vector. In the first layer, the features are extracted by PPG data as a whole. In the second layer, all the PPG data are divided into four subregions, then four subfeatures are generated by extracting features from the four subregions, and finally, the four subfeatures are averaged as the second layer features. In the third layer, all the PPG data are divided into 16 subregions, then 16 subfeatures are generated by extracting features from the 16 subregions, and finally, the 16 subfeatures are averaged as the third layer features. Finally, the features with first, second, and third layers are combined into three-layer features. Extensive experiments were conducted on three PPG datasets, and it was found that the proposed method can achieve a recognition rate of 99.95%, 97.21%, and 99.92% on the respective sets. The results demonstrate that the proposed method can outperform current state-of-the-art methods in terms of accuracy.


2010 ◽  
Vol 32 (1) ◽  
pp. 121-142
Author(s):  
Ian Menter ◽  
Moira Hulme ◽  
Jean Murray ◽  
Anne Campbell ◽  
Ian Hextall ◽  
...  

This paper offers an analysis of the current state of teacher education research in the United Kingdom (UK). It commences with a brief historical overview of developments over the last century. Some recent «capacity building» initiatives designed to enhance and develop teacher education research are described. There is then a focus on a particular web-based resource that draws together a significant number of publications in UK teacher education research from 2000-2008. This database is then analysed in order to identify in which journals and by which authors this work is produced. The range of methodological approaches and substantive areas of focus that appear to predominate in teacher education research in the UK are reviewed, according to categories within the database. This demonstrates that there are some very real challenges to be faced by teacher education researchers in the years ahead, similar but not identical to those faced elsewhere.


2009 ◽  
Vol 5 (S261) ◽  
pp. 102-102
Author(s):  
Luc Blanchet

AbstractHighly relativistic equations of motions will play a crucial role for the detection and analysis of gravitational waves emitted by inspiralling compact binaries in detectors LIGO/VIRGO on ground and LISA in space. Indeed these very relativistic systems (with orbital velocities of the order of half the speed of light in the last orbital rotations) require the application of a high-order post-Newtonian formalism in general relativity for accurate description of their motion and gravitational radiation [1]. In this contribution the current state of the art which has reached the third post-Newtonian approximation for the equations of motion [2–6] and gravitational waveform [7–9] has been described (see [10] for an exhaustive review). We have also emphasized the successful matching of the post-Newtonian templates to numerically generated predictions for the merger and ring-down in the case of black-hole binaries [11].


2016 ◽  
Vol 22 (3) ◽  
pp. 364-407 ◽  
Author(s):  
Tim Taylor ◽  
Joshua E. Auerbach ◽  
Josh Bongard ◽  
Jeff Clune ◽  
Simon Hickinbotham ◽  
...  

We present a survey of the first 21 years of web-based artificial life (WebAL) research and applications, broadly construed to include the many different ways in which artificial life and web technologies might intersect. Our survey covers the period from 1994—when the first WebAL work appeared—up to the present day, together with a brief discussion of relevant precursors. We examine recent projects, from 2010–2015, in greater detail in order to highlight the current state of the art. We follow the survey with a discussion of common themes and methodologies that can be observed in recent work and identify a number of likely directions for future work in this exciting area.


2005 ◽  
Vol 21 (3-4) ◽  
pp. 615-671
Author(s):  
Jean Goulet

This paper deals primarily with computer-assisted legal research. It attempts to sketch the current state of the art, mainly in the United States and Canada, with special reference to systems oriented towards the processing of legislative data. The author suggests a checklist of the main requirements the systems of the 80's will have to answer to, in order to fulfill the growing needs of the new computer-minded generations of law graduates. Along these lines, this paper deals also with the second generation systems dedicated to automated legal research ; these could be expected to show some form, albeit elementary, of humanlike intelligence. Four prototypes of such systems are considered; they are the American Bar Foundation's and Jeffrey Meldman's systems, as well as the well-known JUDITH and TAXMAN systems. The paper concludes on a glimpse of the Third Wave of computerized legal research, in the belief that the legal profession will meet the challenge of the computer age, will learn to live and work with this new technology, and will master the artificial but sometimes acute intelligence of our new friend, the Robot.


2020 ◽  
pp. 1963-1988
Author(s):  
Stefanos Xefteris ◽  
Evdokimos Konstantinidis ◽  
Antonis S. Billis ◽  
Panagiotis E. Antoniou ◽  
Charis Styliadis ◽  
...  

Early detection and prediction of dementia through unobtrusive techniques or obtrusive tests is still in exploratory status and despite the increase of interest in recent years, many challenges remain open in designing methodologies that can accurately predict its onset. This chapter addresses the problem of the early detection of dementia from two points of view: Detection based on unobtrusive paradigms both in lab and home environments (behavioral monitoring, serious games, home based assisted living applications in telemedicine) and detection based on neuroimaging approaches. The chapter also provides information on setting up ecologically valid home labs for dementia related experiments. Consequently, the aim of this chapter is to provide an overview of a complete methodology of how researchers can possibly detect or predict the onset of dementia through the current state-of-the-art, underline open challenges and illustrate future work in the field.


This chapter proposes an overview of the main urban goods transport movement approaches in more than 40 years of research in the field. A state of the art on urban goods transport modelling is proposed in the form of a chronology to examine the main four periods in urban goods transport modelling, the main approaches, and the main schools of thinking. After that, the main dominant approaches are defined and presented. The author observes that, although in literature there is the feeling that no unified approach is dominating the field, several dominant approaches can be found: the first concerns demand generation models, the second the way generation is linked to route definition and construction, the third to the units used, and the fourth to the use of origin-destination synthesis when few data are available and classical models are not able to be deployed. Finally, as a conclusion, the paper shows on the current state of the field, which has achieved various advances, shows the capacity to innovate in the near future.


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