Proposing a Case Study Combining Transdisciplinary and Data-Centered Methods for Understanding Complex Problems in an Educational Context

2019 ◽  
Vol 3 (1) ◽  
pp. 70-83
Author(s):  
Jennifer Clara Herrmann ◽  
Tim Van Wesemael ◽  
Hervé Caralp ◽  
Jorge Ricardo Nova Blanco

Abstract In this opinion piece we argue for combining data-centered hackathons with transdisciplinarity to better understand wicked problems such as food insecurity. Hackathons represent unique opportunities for answering previously identified and consequently well-defined questions in the context of high-dimensional data. However, the possibilities for providing participants with extensive and potentially quintessential background knowledge and for enabling them to develop a shared understanding of the explicit and implicit meanings of variables associated with the respective problem are limited. Thus, the inherently difficult step of deriving realistic strategic implications from provided or otherwise available data is further aggravated. In the context of this evident void, a format combining transdisciplinary and data-driven approaches could represent a promising approach. Thereby, quantitative and preferably unbiased and qualitative, concept-centered analyses could be paralleled, which would enable the synergistic and incremental understanding of both the relationships between model variables and the meaning of those variables themselves. Furthermore, transdisciplinary approaches are fundamentally stakeholder-focused. The aforementioned approach not only could thus support the development of strategic recommendations concerning the chosen problem, but also facilitates stakeholder engagement, which is central to ensuring that proposed strategies are realistic, implementable, and accepted. Food insecurity represents a prime example of a complex, multidimensional problem of extreme urgency. Besides the availability of a myriad of data relating to several aspects of food insecurity, including data on transport networks, food policy decisions, and climate change, grasping the phenomenon of food insecurity in its entirety remains challenging. Given its relevance and <target target-type="page-num" id="p-71"/>complexity and the amount of related data available, food insecurity represents an ideal challenge for exploring the feasibility of combining data-driven and transdisciplinary approaches. Therefore, during the 2018‐2019 academic year, a group of students organized a hackathon around food insecurity and drew inspiration from that hackathon to write a challenge document to be taken up during the ‘Transdisciplinary Insights’ Honours Programme of the 2019‐2020 academic year.

Author(s):  
Solange Oliveira Rezende ◽  
Edson Augusto Melanda ◽  
Magaly Lika Fujimoto ◽  
Roberta Akemi Sinoara ◽  
Veronica Oliveira de Carvalho

Association rule mining is a data mining task that is applied in several real problems. However, due to the huge number of association rules that can be generated, the knowledge post-processing phase becomes very complex and challenging. There are several evaluation measures that can be used in this phase to assist users in finding interesting rules. These measures, which can be divided into data-driven (or objective measures) and user-driven (or subjective measures), are first discussed and then analyzed for their pros and cons. A new methodology that combines them, aiming to use the advantages of each kind of measure and to make user’s participation easier, is presented. In this way, data-driven measures can be used to select some potentially interesting rules for the user’s evaluation. These rules and the knowledge obtained during the evaluation can be used to calculate user-driven measures, which are used to aid the user in identifying interesting rules. In order to identify interesting rules that use our methodology, an approach is described, as well as an exploratory environment and a case study to show that the proposed methodology is feasible. Interesting results were obtained. In the end of the chapter tendencies related to the subject are discussed.


2021 ◽  
Vol 13 (3) ◽  
pp. 1193
Author(s):  
Anna Podara ◽  
Dimitrios Giomelakis ◽  
Constantinos Nicolaou ◽  
Maria Matsiola ◽  
Rigas Kotsakis

This paper casts light on cultural heritage storytelling in the context of interactive documentary, a hybrid media genre that employs a full range of multimedia tools to document reality, provide sustainability of the production and successful engagement of the audience. The main research hypotheses are enclosed in the statements: (a) the interactive documentary is considered a valuable tool for the sustainability of cultural heritage and (b) digital approaches to documentary storytelling can provide a sustainable form of viewing during the years. Using the Greek interactive documentary (i-doc) NEW LIFE (2013) as a case study, the users’ engagement is evaluated by analyzing items from a seven-year database of web metrics. Specifically, we explore the adopted ways of the interactive documentary users to engage with the storytelling, the depth to which they were involved along with the most popular sections/traffic sources and finally, the differences between the first launch period and latest years were investigated. We concluded that interactivity affordances of this genre enhance the social dimension of cultural, while the key factors for sustainability are mainly (a) constant promotion with transmedia approach; (b) data-driven evaluation and reform; and (c) a good story that gathers relevant niches, with specific interest to the story.


2021 ◽  
Vol 296 ◽  
pp. 126242
Author(s):  
Oliver J. Fisher ◽  
Nicholas J. Watson ◽  
Laura Porcu ◽  
Darren Bacon ◽  
Martin Rigley ◽  
...  

2020 ◽  
Vol 53 (3) ◽  
pp. 95-100
Author(s):  
P Savolainen ◽  
J Magnusson ◽  
M. Gopalakrishnan ◽  
E. Turanoglu Bekar ◽  
A. Skoogh

2020 ◽  
Vol 53 (2) ◽  
pp. 11692-11697
Author(s):  
M. Hotvedt ◽  
B. Grimstad ◽  
L. Imsland
Keyword(s):  

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