1 Science Fiction: A Theoretical Lens and Methodological Approach for Re-Imagining Tourism Futures

2022 ◽  
pp. 1-15
Author(s):  
Ian Yeoman ◽  
Una McMahon-Beattie ◽  
Marianna Sigala
Keyword(s):  
Science Fiction ◽  
Methodological Approach

Symbiotic fictional experiments in the visual arts

2019 ◽  
Vol 17 (1) ◽  
pp. 111-118
Author(s):  
Ana Carvalho
Keyword(s):  
Science Fiction ◽  
Visual Arts ◽  
Methodological Approach ◽  
Thought Experiments

Abstract Sameness and difference, seen through the use of the term symbiosis, are tooled for the construction of other, future realities. Two examples from literature will describe how symbiosis is, in science fiction, used as means to propose connections with Otherness, through a return to a nature recovered, and as part of rational human deliberate actions towards the recovery of our present damaged planet. Science fiction is where the methodological approach is formulated, as thought experiments, within Ursula Le Guin's literature, from where to develop the process to create two visual artworks. These visual artworks, both different series of images, depart from the term symbiosis, to reflect on what is different within the same, and on the construction of sameness in what is different.

Of Frames and Cultures - A Cross-Cultural Comparison of TV Newscasts

2006 ◽  
Vol 18 (4) ◽  
pp. 160-173 ◽  
Author(s):  
Maria Senokozlieva ◽  
Oliver Fischer ◽  
Gary Bente ◽  
Nicole Krämer
Keyword(s):  
Content Analysis ◽  
Arab World ◽  
Methodological Approach ◽  
Cross Cultural ◽  
Cultural Comparison ◽  
Explorative Study ◽  
Cross Cultural Comparison ◽  
Tv News ◽  
The Usa ◽  
The Relationship

Abstract. TV news are essentially cultural phenomena. Previous research suggests that the often-overlooked formal and implicit characteristics of newscasts may be systematically related to culture-specific characteristics. Investigating these characteristics by means of a frame-by-frame content analysis is identified as a particularly promising methodological approach. To examine the relationship between culture and selected formal characteristics of newscasts, we present an explorative study that compares material from the USA, the Arab world, and Germany. Results indicate that there are many significant differences, some of which are in line with expectations derived from cultural specifics. Specifically, we argue that the number of persons presented as well as the context in which they are presented can be interpreted as indicators of Individualism/Collectivism. The conclusions underline the validity of the chosen methodological approach, but also demonstrate the need for more comprehensive and theory-driven category schemes.

Elimination of Crime: Science Fiction or Reality

1974 ◽  
Vol 19 (1) ◽  
pp. 47-48
Author(s):  
ALICE M. PADAWER-SINGER
Keyword(s):  
Science Fiction ◽  
Crime Science

A novel methodological approach to systematically analyse pandemic influenza response programs within health systems

2010 ◽  
Vol 72 (08/09) ◽  
Author(s):  
A Ahmad ◽  
R Krumkamp ◽  
S Mounier-Jack ◽  
R Reintjes ◽  
R Coker
Keyword(s):  
Health Systems ◽  
Pandemic Influenza ◽  
Methodological Approach

Some statistical and CI models to predict chaotic high-frequency financial data

2020 ◽  
Vol 39 (5) ◽  
pp. 6419-6430
Author(s):  
Dusan Marcek
Keyword(s):  
Time Series Data ◽  
Moving Average ◽  
Methodological Approach ◽  
Back Propagation ◽  
Large Data ◽  
Series Data ◽  
Data Set ◽  
Training Time ◽  
Optimal Population ◽  
Forecast Time

To forecast time series data, two methodological frameworks of statistical and computational intelligence modelling are considered. The statistical methodological approach is based on the theory of invertible ARIMA (Auto-Regressive Integrated Moving Average) models with Maximum Likelihood (ML) estimating method. As a competitive tool to statistical forecasting models, we use the popular classic neural network (NN) of perceptron type. To train NN, the Back-Propagation (BP) algorithm and heuristics like genetic and micro-genetic algorithm (GA and MGA) are implemented on the large data set. A comparative analysis of selected learning methods is performed and evaluated. From performed experiments we find that the optimal population size will likely be 20 with the lowest training time from all NN trained by the evolutionary algorithms, while the prediction accuracy level is lesser, but still acceptable by managers.

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