Embodied ethnography in psychology: Learning points from expatriate migration research

2020 ◽  
Vol 26 (4) ◽  
pp. 803-818
Author(s):  
Sanna Schliewe

Interviews and observation are often the preferred methods when psychologists conduct fieldwork. However, psychology can learn from recent developments in anthropology and sociology. Here researchers use their own embodied sensations in participatory research as a way to investigate less verbalized, more hidden, sensorial, and affective aspects of the life-worlds they are studying. In this article, I use case examples from research on privileged migrants (expatriates) to demonstrate how significant insights can emerge when we apply an embodied approach in our research. Migration is not only behavioral, social, verbal, or imaginative events but includes the migrant’s body—its sensory experiences and emotions. Thus, we need to embrace additional methods to investigate multifaceted psychological processes such as migration.

Logistics ◽  
2018 ◽  
Vol 2 (4) ◽  
pp. 23
Author(s):  
Cyril Alias ◽  
Frank Alarcón Olalla ◽  
Hauke Iwersen ◽  
Julius Ollesch ◽  
Bernd Noche

In the course of the ongoing era of digitization, cyber-physical systems and complex event processing belong to the most discussed technologies nowadays. The huge challenge that digitization is forming to the transportation and logistics sector is largely accepted by the responsible organizations. Despite initial steps being taken towards digitized value-creation, many professionals wonder about how to realize the ideas and stumble with the precise steps to be taken. With the vision of smart logistics in mind and cost-efficient technologies available, they require a systematic methodology to exploit the potentials accompanying digitization. With the help of an effective and targeted workshop procedure, potentially appropriate application areas with promising benefit potentials can be identified effectively. Such a workshop procedure needs to be a stepwise approach in order to carefully consider all the relevant aspects and to allow for organizational acceptance to grow. In three real-world use case examples from different areas of the transportation and logistics industry, promising applications of cyber-physical systems and complex event processing are identified and pertaining event patterns of critical situations developed in order to make realization easier at a later stage. Each use case example exhibits a frequently occurring problem that can be effectively addressed by using the above-mentioned technology.


2020 ◽  
pp. 146879412096537
Author(s):  
Alastair Roy ◽  
Jacqueline Kennelly ◽  
Harriet Rowley ◽  
Cath Larkins

The focus of this paper is on the complex and sometimes contradictory effects of generating films with and about young people who have experienced homelessness, through participatory research. Drawing on two projects – one in Ottawa, Canada, and the other in Manchester, UK – we scrutinise two key aspects of participatory research projects that use film: first, how to appropriately communicate the complexity of already-stigmatised lives to different publics, and second, which publics we prioritise, and how this shapes the stories that are told. Through a theoretical framework that combines Pierre Bourdieu’s account of authorised language with Arthur Frank’s socio-narratology, we analyse the potential for generating justice versus reproducing symbolic violence through participatory research and film with homeless young people. In particular, we scrutinise the distinct role played by what we are calling first, second and third publics – each with their own level of distance and relationship to the participatory research process.


Author(s):  
Sergej Sizov ◽  
Stefan Siersdorfer

This chapter addresses the problem of automatically organizing heterogeneous collections of Web documents for the generation of thematically-focused expert search engines and portals. As a possible application scenario for our techniques, we consider a focused Web crawler that aims to populate topics of interest by automatically categorizing newly-fetched documents. A higher accuracy of the underlying supervised (classification) and unsupervised (clustering) methods is achieved by leaving out uncertain documents rather than assigning them to inappropriate topics or clusters with low confidence. We introduce a formal probabilistic model for ensemble-based meta methods and explain how it can be used for constructing estimators and for quality-oriented tuning. Furthermore, we provide a comprehensive experimental study of the proposed meta methodology and realistic use-case examples.


2020 ◽  
pp. 445-459
Author(s):  
Annette Sprung

Annette Sprung discusses a participatory research project that created a documentary film about the experiences of migrants working as adult educators in Austria, and then analyses this collaboratively to consider issues of stereotyping and ‘otherness’ from multiple perspectives.


Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4622 ◽  
Author(s):  
Michiel Aernouts ◽  
Filip Lemic ◽  
Bart Moons ◽  
Jeroen Famaey ◽  
Jeroen Hoebeke ◽  
...  

Multiple Radio Access Technology (multi-RAT) communication with Low Power Wide Area Networks (LPWAN) significantly increases the flexibility of Internet of Things (IoT) applications. Location-based services that build upon such a multimodal communication architecture are able to switch to an optimal localization method depending on the constraints of the active wireless technology. Furthermore, the resulting location estimate can aid location-based handover mechanisms to reduce the energy consumption of a multi-RAT IoT device. In this research, we present our design of a multimodal localization framework and illustrate the benefit of such a framework with two IoT use case examples. For the first use case, valuable artwork is tracked during transportation to a museum. In the second use case, we monitor the usage and location of large construction tools. Finally, we propose how our localization framework can be improved to deal with implementation challenges and to reduce location estimation errors.


Today’s new digital technologies and the spread of the internet have created numerous new opportunities and challenges for the education of the future. The rapid development of mobile and ubiquitous computing technology offered more chances to design and develop innovative learning approach with mobile devices in preparing schools and students for a future. In this paper we present case examples and the research results and reflections based on our recent developments and experiences in Thailand regarding how novel pedagogical applications, mobile technologies and software tools can be combined to enhanced students’ learning at all level of education. To the end, we propose a possible direction for the transformation of traditional teaching in science to a novel of mobile and ubiquitous learning in an on-going large-scale educational project in Thailand. This is a challenge of our educational improvement to introduce the novel mobile-assisted learning approach, with the support of mobile devices, into classroom settings, innovative instructional practices and sustainability as the way of future schools in context of Thailand.


Author(s):  
Farid Huseynov

Among thousands of alternatives, most of the time online customers cannot easily decide on which product to purchase or service to utilize. In order to assist online customers in their decision-making process, business owners have started to make their online platforms more intelligent by enhancing their platforms with intelligent recommender systems. Recommender systems, also known as recommender agents or intelligent agents, are intelligent software that provide easily accessible, personalized, highly relevant, and high-quality recommendations to customers in various online platforms. This chapter discusses different types of recommender systems and provides use case examples of recommender systems in various e-commerce platforms. This chapter shows how recommender systems make life easier for online customers in the constantly developing and growing internet environment. This chapter also discusses the challenges posed by recommender systems to online customers.


Biofeedback ◽  
2014 ◽  
Vol 42 (3) ◽  
pp. 96-102 ◽  
Author(s):  
Ethan Benore ◽  
Gerard A. Banez ◽  
Tyson Sawchuk ◽  
Jeffrey Bolek

Biofeedback is an effective tool for treating pediatric pain. As biofeedback professionals, we often work within an interdisciplinary team for complicated cases of pain. This interprofessional care of pediatric chronic pain presents both advantages and potential hurdles to the biofeedback clinician. In this article, we detail two current biofeedback services affiliated with interprofessional pediatric pain management. We then use case examples to demonstrate key issues in interprofessional care. We conclude with opportunities for further development of interprofessional care involving biofeedback and lessons learned from our practice that may be beneficial to others in the field.


1989 ◽  
Vol 23 (3) ◽  
pp. 638-670 ◽  
Author(s):  
Monica Boyd

Family, friendship and community networks underlie much of the recent migration to industrial nations. Current interest in these networks accompany the development of a migration system perspective and the growing awareness of the macro and micro determinants of migration. This article presents an overview of research findings on the determinants and consequences of personal networks. In addition, it calls for greater specification of the role of networks in migration research and for the inclusion of women in future research.


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