scholarly journals Conflicting roles of researchers in sustainability transitions: balancing action and reflection

2021 ◽  
Author(s):  
Ellen Bulten ◽  
Laurens K. Hessels ◽  
Michaela Hordijk ◽  
Andrew J. Segrave
Keyword(s):  
Scientific Knowledge ◽  
Real World ◽  
Transdisciplinary Research ◽  
Sustainability Transitions ◽  
Self Perception ◽  
Sustainability Research ◽  
Action Programme ◽  
Process Oriented

AbstractProcess-oriented transdisciplinary research is generally seen as a promising approach to facilitate sustainability transitions. This type of research requires new participatory roles for researchers. These new roles may conflict with traditional, more academic roles that researchers often maintain next to their new roles. Using the Dutch transdisciplinary Knowledge-Action Programme on Water (KAP Water) as a case study, we highlight tensions that researchers adopting these new roles experience. We have observed both practical and more fundamental tensions between roles of researchers in process-oriented sustainability research. In particular, it proved difficult to combine more engaged roles, where researchers are involved in dialogues for change, with knowledge-oriented roles, where researchers focus on knowledge provision and are further removed from ‘real-world action’. Tensions arise from three sources: (1) researchers’ self-perception and expectations; (2) expectations from transdisciplinary partners, funders and researchers’ home institutions; and (3) societal convictions about what scientific knowledge is and how it should be developed. This paper contributes to the literature by enhancing the understanding of the interactions and tensions between the roles of researchers in transdisciplinary research.

Establishing Academic-Industry Partnerships

2016 ◽  
Vol 8 (3) ◽  
pp. 29-45 ◽  
Author(s):  
Amber L. Lancaster ◽  
Dave Yeats
Keyword(s):  
Real World ◽  
Usability Testing ◽  
Transdisciplinary Research ◽  
Research Model ◽  
Research Teams ◽  
Curriculum And Pedagogy ◽  
Real World Application ◽  
Industry Partnerships ◽  
Collaboration Process

Emphasizing a transdisciplinary research model for distributed usability testing, this article offers a case study for establishing successful academic-industry partnerships. The authors describe the collaboration process between the co-investigators in this partnership: the UX researchers, the user participants, and the stakeholders at the industry company. The authors explain how they used the transdisciplinary research model to write a winning proposal for collaboration and then highlight how the benefits of a transdisciplinary research model were realized in practice. The implications of the authors' findings support developing UX curriculum and pedagogy in ways that emphasize real-world application tied to transdisciplinary research teams and formal, distributed usability testing.

Establishing Academic-Industry Partnerships

2021 ◽  
pp. 1286-1303
Author(s):  
Amber L. Lancaster ◽  
Dave Yeats
Keyword(s):  
Real World ◽  
Usability Testing ◽  
Transdisciplinary Research ◽  
Research Model ◽  
Research Teams ◽  
Curriculum And Pedagogy ◽  
Real World Application ◽  
Industry Partnerships ◽  
Collaboration Process

Emphasizing a transdisciplinary research model for distributed usability testing, this article offers a case study for establishing successful academic-industry partnerships. The authors describe the collaboration process between the co-investigators in this partnership: the UX researchers, the user participants, and the stakeholders at the industry company. The authors explain how they used the transdisciplinary research model to write a winning proposal for collaboration and then highlight how the benefits of a transdisciplinary research model were realized in practice. The implications of the authors' findings support developing UX curriculum and pedagogy in ways that emphasize real-world application tied to transdisciplinary research teams and formal, distributed usability testing.

Qualitative Case Study Research Design

2015 ◽  
Vol 25 (1) ◽  
pp. 39-45 ◽  
Author(s):  
Jennifer Tetnowski
Keyword(s):  
Research Design ◽  
Real World ◽  
Qualitative Case Study ◽  
Case Study Research ◽  
Study Research

Qualitative case study research can be a valuable tool for answering complex, real-world questions. This method is often misunderstood or neglected due to a lack of understanding by researchers and reviewers. This tutorial defines the characteristics of qualitative case study research and its application to a broader understanding of stuttering that cannot be defined through other methodologies. This article will describe ways that data can be collected and analyzed.

scholarly journals Reservoir Sediment Management Using Artificial Neural Networks: A Case Study of the Lower Section of the Alpine Saalach River

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 818
Author(s):  
Markus Reisenbüchler ◽  
Minh Duc Bui ◽  
Peter Rutschmann
Keyword(s):  
Real World ◽  
Close Correlation ◽  
Critical Issue ◽  
Management Tool ◽  
Lower Section ◽  
Reservoir Sediment ◽  
Efficiency And Effectiveness ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Reservoir sedimentation is a critical issue worldwide, resulting in reduced storage volumes and, thus, reservoir efficiency. Moreover, sedimentation can also increase the flood risk at related facilities. In some cases, drawdown flushing of the reservoir is an appropriate management tool. However, there are various options as to how and when to perform such flushing, which should be optimized in order to maximize its efficiency and effectiveness. This paper proposes an innovative concept, based on an artificial neural network (ANN), to predict the volume of sediment flushed from the reservoir given distinct input parameters. The results obtained from a real-world study area indicate that there is a close correlation between the inputs—including peak discharge and duration of flushing—and the output (i.e., the volume of sediment). The developed ANN can readily be applied at the real-world study site, as a decision-support system for hydropower operators.

scholarly journals Applying the PECSL: using case studies to demonstrate the Pedagogy of Experience Complexity for Smart Learning

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Pen Lister
Keyword(s):  
Real World ◽  
Mobile Apps ◽  
Urban Environments ◽  
Learning Activities ◽  
Learning Activity ◽  
Opportunities To Learn ◽  
Practical Application ◽  
Design And Development ◽  
Smart Learning

AbstractThis paper discusses the uses and applications of the Pedagogy of Experience Complexity for Smart Learning (PECSL), a four-tier model of considerations for the design and development of smart learning activities. Using existing mobile apps and relevant activities as illustrative examples, the PECSL is applied to indicate concepts and mechanisms by which useful pedagogical considerations can work alongside user-centred design principles for the design and development of smart learning in urban hyper-localities. Practical application of the model is discussed using real world examples of activities as a basis to demonstrate the potential for manifold opportunities to learn, and plan for experience complexity in a smart learning activity. Case study approaches reflect on aspects of the PECSL in how it might be a useful and pragmatic guide to some of the issues faced when designing digital citizen learning activities in complex urban environments.

scholarly journals Method for Viewing Real-World Scenes while Recording Video

2021 ◽  
Vol 11 (10) ◽  
pp. 4617
Author(s):  
Daehee Park ◽  
Cheoljun Lee
Keyword(s):  
Real World ◽  
Video Recording ◽  
Emotional Responses ◽  
Target Object ◽  
Error Rates ◽  
User Needs ◽  
High Quality ◽  
Gradient Algorithms ◽  
Squared Error

Because smartphones support various functions, they are carried by users everywhere. Whenever a user believes that a moment is interesting, important, or meaningful to them, they can record a video to preserve such memories. The main problem with video recording an important moment is the fact that the user needs to look at the scene through the mobile phone screen rather than seeing the actual real-world event. This occurs owing to uncertainty the user might feel when recording the video. For example, the user might not be sure if the recording is of high-quality and might worry about missing the target object. To overcome this, we developed a new camera application that utilizes two main algorithms, the minimum output sum of squared error and the histograms of oriented gradient algorithms, to track the target object and recognize the direction of the user’s head. We assumed that the functions of the new camera application can solve the user’s anxiety while recording a video. To test the effectiveness of the proposed application, we conducted a case study and measured the emotional responses of users and the error rates based on a comparison with the use of a regular camera application. The results indicate that the new camera application induces greater feelings of pleasure, excitement, and independence than a regular camera application. Furthermore, it effectively reduces the error rates during video recording.

scholarly journals Simplification and Detection of Outlying Trajectories from Batch and Streaming Data Recorded in Harsh Environments

2019 ◽  
Vol 8 (6) ◽  
pp. 272 ◽  
Author(s):  
Iq Reviessay Pulshashi ◽  
Hyerim Bae ◽  
Hyunsuk Choi ◽  
Seunghwan Mun ◽  
Riska Asriana Sutrisnowati
Keyword(s):  
South Korea ◽  
Real World ◽  
Experimental Evaluation ◽  
Streaming Data ◽  
Harsh Environments ◽  
Noise Filtering ◽  
New Approach ◽  
Detection Algorithms ◽  
Outlying Point

Analysis of trajectory such as detection of an outlying trajectory can produce inaccurate results due to the existence of noise, an outlying point-locations that can change statistical properties of the trajectory. Some trajectories with noise are repairable by noise filtering or by trajectory-simplification. We herein propose the application of a trajectory-simplification approach in both batch and streaming environments, followed by benchmarking of various outlier-detection algorithms for detection of outlying trajectories from among simplified trajectories. Experimental evaluation in a case study using real-world trajectories from a shipyard in South Korea shows the benefit of the new approach.

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