Coping with the big data dump: Towards a framework for enhanced information representation

First Monday ◽  
2015 ◽  
Author(s):  
Andreas Kratky ◽  
Virginia Kuhn ◽  
Jon Olav Eikenes

Easy and efficient access to large amounts of data has become an essential aspect of our everyday life. In this paper we investigate possibilities of supporting information representation through the combined use of multiple modalities of perceptions such as sight, touch and kinesthetics. We present a theoretical framework to analyze these approaches and exemplify our findings with case studies of three emergent projects. The results are a contribution to a larger discussion of multimodal information representation at the intersection of theory and practice.

2020 ◽  
Vol 26 (4) ◽  
pp. 325-344
Author(s):  
Sarah Fries ◽  
Julie Cook ◽  
Jennifer Kristin Lynes

Background: Community-based social marketing (CBSM) offers a pragmatic five-step approach to developing a program that fosters sustainable behaviour. However, how the CBSM theoretical framework has been implemented into practice remains largely under-evaluated. To help address this gap, Lynes et al. developed 21 benchmarks to assess CBSM programs. This research builds upon these benchmarks by using both the benchmarks and additional assessment criteria to assess five Canadian programs that have used CBSM principles. Focus: This paper is related to research and evaluation of community-based social marketing. Research Question: How has the CBSM theoretical framework been implemented in practice at the community level? Importance to the Social Marketing Field: By exploring how five Canadian programs have implemented CBSM, this paper enables practitioners to align their programs with CBSM principles more closely. It also contributes to the literature on CBSM effectiveness. Methods: Five qualitative case studies were assessed, each featuring a Canadian community program seeking to influence residential water efficiency behaviour. In order to systematically assess each program’s adherence to the CBSM theoretical framework, a CBSM benchmark assessment tool that proposes additional assessment criteria to Lynes et al.’s 21 benchmarks was developed. The assessment tool allowed for replicable benchmark assessments across multiple programs. Triangulation of data from both primary (survey and interview) and secondary (peer-reviewed literature, gray literature, and online reporting) data sources informed the assessment of each case study. Results: On average, over the five case studies, just over half of the 21 benchmark criteria were fully integrated into the programs, whereas just under a third were partially integrated, and approximately one fifth were not integrated at all. Recommendations for Research or Practice: While the benchmarks were fairly well integrated overall, this paper outlines several recommendations that programs may consider to improve alignment with the CBSM theoretical framework and benchmarks. Recommendations for future research to explore CBSM effectiveness are also made. Limitations: Lack of generalizability due to small sample size, unable to make assessments of programmatic success, and inherent limitations of the benchmark assessment tool.


2017 ◽  
Vol 21 (1) ◽  
pp. 12-17 ◽  
Author(s):  
David J. Pauleen

Purpose Dave Snowden has been an important voice in knowledge management over the years. As the founder and chief scientific officer of Cognitive Edge, a company focused on the development of the theory and practice of social complexity, he offers informative views on the relationship between big data/analytics and KM. Design/methodology/approach A face-to-face interview was held with Dave Snowden in May 2015 in Auckland, New Zealand. Findings According to Snowden, analytics in the form of algorithms are imperfect and can only to a small extent capture the reasoning and analytical capabilities of people. For this reason, while big data/analytics can be useful, they are limited and must be used in conjunction with human knowledge and reasoning. Practical implications Snowden offers his views on big data/analytics and how they can be used effectively in real world situations in combination with human reasoning and input, for example in fields from resource management to individual health care. Originality/value Snowden is an innovative thinker. He combines knowledge and experience from many fields and offers original views and understanding of big data/analytics, knowledge and management.


2021 ◽  
pp. 204382062110177
Author(s):  
Ning An ◽  
Jo Sharp ◽  
Ian Shaw

In this brief response paper, we respond to the insightful commentaries that critically engage with our original article in this forum. First, we discuss whether Confucian culture is fundamental to Chinese geopolitics, emphasizing how and why culture is part of a wider epistemic resource. We also note that our model is not normative, but an analytic framework for understanding complex non-western situations. Second, we discuss the geographies and scales of our model, noting a core tension between geopolitics at the state level and in everyday life. Third, we address the ‘gap’ between theory and practice under our Confucian model, noting that there is often a strategic inclusion (or exclusion) of Confucianism in practice. We finish by emphasizing that our paper is part a longer journey to further decentralize the western hold upon geopolitics.


2017 ◽  

As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation.


2021 ◽  

The use of big data is becoming increasingly important across the tourism sector and the value chain. With this publication, UNWTO intends to provide a baseline research on using big data by tourism and culture stakeholders, in order to improve the competitiveness of cultural tourism and reinforce its sustainability. The study sets the basis to connect tourism, culture and new technologies for mutual benefits, while calling for a reflection on the ethical implications for policymakers, businesses and end-users. The selection of case studies illustrates the most frequent case-scenarios of the use of big data in cultural tourism within destinations, compiled during the research. As the new technologies are facing ever-evolving scenarios, their use will be harnessed by the tourism sector in its endeavour to innovate and provide new cultural experiences.


2021 ◽  
Vol 19 (3) ◽  
pp. 9-32
Author(s):  
Kazimierz Musiał

The aim of the article is to demonstrate how science and researchcooperation may help to reintegrate the Baltic region in the 21st century withthe participation of Russia. This is done through the analysis of documentsand strategies of Baltic Sea regionalism in the context of the regional knowledgeregime. Attention is paid to different positionalities of the regional actorsand their narratives. The theoretical framework is secured by an analysis ofcritical junctures drawing on case studies from the years 1989-91 and 2014 andthe subsequent reconfiguration of the power / knowledge nexus. The analysisshows that this reconfiguration actively contributes to creating and changingthe content and context of the Baltic Sea regionalism as based on new symbolic,economic, and political capitals. The conclusion points to the potentialof Russia’s involvement in the co-creation of the regional knowledge regimeand defines the conditions and methods of possible cooperation.


2018 ◽  
Vol 25 (3) ◽  
pp. 314-340 ◽  
Author(s):  
Rachelle K. Gould ◽  
Nicole M. Ardoin ◽  
Jennifer M. Thomsen ◽  
Noelle Wyman Roth

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