Learning for resilience-based management: Generating hypotheses from a behavioral study

Yu, David J.; Shin, Hoon C.; Legáz, Isabel; Anderies, John M.; Janssen, Marco A.

doi:10.1016/j.gloenvcha.2016.01.009

Cited by 33 publications

(19 citation statements)

References 30 publications

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“…The third step in the guided inquiry is to formulate a hypothesis, the hypothesis being a temporary answer to a problem under study. As a temporary answer, the hypothesis needs to be verified (Huang et al 2014, Jahangiri & Abilipour, 2014, Yu et al, 2016Monks et al, 2014;Majid, 2015). The fourth step in the guided inquiry is collecting data, information needed to test the proposed hypothesis (Saarinen et al, 2017, Depoy & Gitlin, 2016Deufemia et al 2014;Majid 2015).…”

Section: Discussionmentioning

confidence: 99%

Improving Student Learning Outcomes With a Staffing Administration Module Based Guided Inquiry in Basic Competencies Suggested Leave Regulations

Sari

Suputra

Chasanah³

2017

JPBM

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The purpose of this study is to (1) produce personnel administration learning module Guided Inquiry-based for XI graders of Vocational School, particularly for office administration expertise program based on basic competence point 3.6 (proposing leave regulation) and 4.6 (reciting leave regulation), (2) validate the product through the validation test, (3) and find out the different learning outcome for those who used and did not used this product. there are different learning outcomes from those who belong to the control and experimental class namely 10,81 (control class average score= 82,58 and experimental class average score= 93,39).

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Section: Discussionmentioning

confidence: 99%

Improving Student Learning Outcomes With a Staffing Administration Module Based Guided Inquiry in Basic Competencies Suggested Leave Regulations

Sari

Suputra

Chasanah³

2017

JPBM

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“…In doing this, Sung et al () apply control theory from engineering to conceptualize how a human society learns from flood events and adjusts its flood control policies (Figure ). The same application was made in the field of social‐ecological systems to analyze how a farmer‐managed irrigation system dynamically adapts its water distribution and cost‐sharing rules through learning by doing (Yu et al, ).…”

Section: Contributions Of the Papers In The Special Section On Sociohmentioning

confidence: 99%

Expanding the Scope and Foundation of Sociohydrology as the Science of Coupled Human‐Water Systems

Konar

Garcia

Sanderson

et al. 2019

Water Resources Research

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Sociohydrology was launched as the science dealing with feedbacks between coupled human and water systems. Much of the early work in sociohydrology involved studies in spatially isolated domains (e.g., river basins) dealing with phenomena that involved emergent patterns in the time domain, with a focus on formulating and testing hypotheses about how they arise. The papers collected in this Special Section "Sociohydrology: Spatial and Temporal Dynamics of Coupled Human-Water Systems" illustrate that the scientific scope of sociohydrology has broadened over the last few years, with a rich diversity of phenomena studied and an expansion of the knowledge foundations and methodologies applied. These Special Section papers now incorporate methodologies and approaches from a wide range of social science disciplines, including anthropology, complex systems, economics, and sociology. The major themes tackled by these papers are understanding (i) water metabolism-the economic use of water; (ii) interactions between humans and droughts; (iii) interactions between humans and floods; and (iv) the role of human institutions, policy, and management. These collected papers provide a foundation for future research that strives to understand how to achieve water resources sustainability (society to water) and reduce the risk of hydrological hazards in society (water to society). Going forward, we suggest that the development of a common sociohydrology framework will be paramount for research development and student training. Additionally, increased engagement with the broader water management communities will enhance sociohydrology understanding and impact.

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“…Assigned values can be expressed in either monetary or nonmonetary terms, and are relevant to economic and psychology approaches. In a social-science context, assigned values have been quantitatively measured using a variety of techniques, including survey and interview approaches with the help of psychometric scales used in psychology (Bengston, 1994), social experiments in behavioral economics (Janssen et al, 2014;Yu et al, 2016) and content analysis (Seymour et al, 2010;Bark et al, 2016a;Xu and Bengston, 1997;Wei et al, 2017). …”

Section: Measurement Of Changing Norms and Valuesmentioning

confidence: 99%

Norms and values in sociohydrological models

Roobavannan

Emmerik

Elshafei

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. Sustainable water resources management relies on understanding how societies and water systems coevolve. Many place-based sociohydrology (SH) modeling studies use proxies, such as environmental degradation, to capture key elements of the social component of system dynamics. Parameters of assumed relationships between environmental degradation and the human response to it are usually obtained through calibration. Since these relationships are not yet underpinned by social-science theories, confidence in the predictive power of such place-based sociohydrologic models remains low. The generalizability of SH models therefore requires major advances in incorporating more realistic relationships, underpinned by appropriate hydrological and social-science data and theories. The latter is a critical input, since human culture -especially values and norms arising from it -influences behavior and the consequences of behaviors. This paper reviews a key social-science theory that links cultural factors to environmental decision-making, assesses how to better incorporate social-science insights to enhance SH models, and raises important questions to be addressed in moving forward. This is done in the context of recent progress in sociohydrological studies and the gaps that remain to be filled. The paper concludes with a discussion of challenges and opportunities in terms of generalization of SH models and the use of available data to allow future prediction and model transfer to ungauged basins.

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Learning for resilience-based management: Generating hypotheses from a behavioral study

Cited by 33 publications

References 30 publications

Improving Student Learning Outcomes With a Staffing Administration Module Based Guided Inquiry in Basic Competencies Suggested Leave Regulations

Improving Student Learning Outcomes With a Staffing Administration Module Based Guided Inquiry in Basic Competencies Suggested Leave Regulations

Expanding the Scope and Foundation of Sociohydrology as the Science of Coupled Human‐Water Systems

Norms and values in sociohydrological models

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