The Role of Analytical Frameworks for Systemic Research Design, Explained in the Analysis of Drivers and Dynamics of Historic Land-Use Changes

Abstract

Analytical frameworks provide the basic vocabulary of concepts and terms that may be used to construct the kinds of causal explanations expected of a theory. In addition, framework-based approaches are applied as a way of dealing with the complexity that arises in situations involving human interactions with the environment. This paper presents an example of an application of the "Analytical Framework for a Systemic Analysis of Drivers and Dynamics of Historical Land-Use Changes" with the purpose of showing the role of the selected analytical framework in the design of systemic research, namely as it is conceived and as it develops over time. This analytical framework helps to organize research by linking the theoretical questions to the empirical analysis, while serving as a platform for the construction of theoretical explanations, which represent the flow of knowledge in various contexts and conditions. In the context of systems research, the combination of an analytical framework with grounded theory approaches may allow researchers to achieve both creative thinking and novel outcomes, without losing a certain degree of coherence. We also hope to understand the real motives behind decision-making and dynamics of space and time in order to support the design of policies that take into account local differences.

Omics-Based Interaction Framework – a systems model to reveal molecular drivers of synergy

“…To formally test whether the effect of dual factors (F AB : Pam2-ODN) is greater than the expected linear sum of its individual factors (F A : Pam2; F B : ODN), an initial 2-level 2-factor (2 2 ) factorial design is required (Slinker, 1998; Foucquier et al , 2015) (Figure 1D). Our strategy adapts the traditional analysis of variance (ANOVA) approach into a model that links the empirical analysis of synergy (Slinker, 1998; Foucquier et al , 2015) with the high-throughput capacity and high-dimensionality of Omics datasets (Coral et al , 2017; Bardini et al , 2017). As summarized in Figure 1E, OBIF integrates statistical and biological interactions in Omics data matrices from single vs. dual factor exposures, leveraging Omics screening to promote discovery of the molecular drivers of synergy, and facilitating the biological validation of synergy regulators.…”

Analytical Framework to Assess the Incorporation of Climate Change Adaptation in Water Management: Application to the Tordera River Basin Adaptation Plan

“…According to Coral and Bokelmann [32], analytical frameworks provide the basic vocabulary of concepts and terms that may be used to construct the kinds of causal explanations that are expected of a theory. In addition, analytical frameworks help to organize research and provide a general list of variables to be used in any type of analysis, and they are applied as a way of dealing with complexity.…”

“…In addition, analytical frameworks help to organize research and provide a general list of variables to be used in any type of analysis, and they are applied as a way of dealing with complexity. A decade ago, Ostrom [33] proposed that the construction of general frameworks could help in identifying the elements to take into consideration, as well as the relationship between these elements [32,34].…”

Place-Keeping for Health? Charting the Challenges for Urban Park Management in Practice

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