Evaluation of the Performance of STEM Academies in Jamaica: Using Data to Inform Decision-making

2019 ◽  
Vol 18 (1) ◽  
pp. 103-131
Author(s):  
Kamilah Hylton ◽  
Kadia Hylton-Fraser ◽  
Natalie Guthrie-Dixon
Keyword(s):  
Decision Making ◽  
Using Data ◽  
Inform Decision Making

Using Bad News to Make Good Decisions

2011 ◽  
pp. 358-374
Author(s):  
Margaret Johnson ◽  
Larry Hovey ◽  
Pam Tipton
Keyword(s):  
Decision Making ◽  
Bad News ◽  
Technical Problems ◽  
Using Data ◽  
Inform Decision Making ◽  
The Way

Along the way, a number of personnel, organizational, and technical problems were encountered, and many were resolved. What did became clear is that using data to inform decision making is an evolving process that can provide a solid basis for continuous program improvements.

Research Initiatives in Accounting Education: Research Relevance and Research Productivity

2020 ◽  
Vol 35 (4) ◽  
pp. 111-124
Author(s):  
Jared S. Moon ◽  
David A. Wood
Keyword(s):  
Decision Making ◽  
Research Productivity ◽  
Accounting Education ◽  
Data Driven ◽  
Faculty Research ◽  
Faculty Research Productivity ◽  
Research Findings ◽  
Using Data ◽  
Research Initiatives ◽  
Inform Decision Making

ABSTRACT Research in accounting education has evolved to include, among other areas, research relevance, faculty research productivity, and the use of journal lists. These topics offer new areas for research, including investigating the benefits and risks of relevant/irrelevant research, how effectively faculty research is evaluated, the potential consequences of using journal lists, and much more. Although these areas have significant and wide-ranging effects on faculty, much more empirical data are needed to inform decision making. This paper highlights these issues and makes suggestions for additional research to help the academy make better decisions by using data-driven research findings.

scholarly journals Durability of environment-recruitment relationships in aquatic ecosystems: insights from long-term monitoring in a highly modified estuary and implications for management

2018 ◽  
Author(s):  
Natascia Tamburello ◽  
Brendan M. Connors ◽  
David Fullerton ◽  
Corey C. Phillis
Keyword(s):  
Decision Making ◽  
San Francisco ◽  
Aquatic Ecosystems ◽  
Aquatic Organisms ◽  
Context Dependency ◽  
Conservation Actions ◽  
Using Data ◽  
Inform Decision Making ◽  
Over Time

AbstractThe environment can strongly influence the survival of aquatic organisms and their resulting dynamics. Our understanding of these relationships, typically based on correlations, underpins many contemporary resource management decisions and conservation actions. However, such relationships can break down over time as ecosystems evolve. Even when durable, they may not be very useful for management if they exhibit high variability, context dependency, or non-stationarity. Here, we systematically review the literature to identify trends across environment-recruitment relationships for aquatic taxa from California’s San Francisco Bay and Sacramento-San Joaquin Delta Estuary. This is one of the most heavily modified aquatic ecosystems in North America, and home to numerous species of concern whose relationships with the environment inform regulatory actions and constraints. We retested 23 of these relationships spanning 9 species using data that have accumulated in the years since they were first published (9-40 additional years) to determine whether they persisted. Most relationships were robust (i.e., same or stronger in magnitude) to the addition of new data, but the ability to predict how a species will respond to environmental change did not generally improve with more data. Instead, prediction error generally increased over time and in some cases very quickly, suggesting a rapid regime shift. Our results suggest that more data alone will not necessarily improve the ability of these relationships to inform decision making. We conclude by synthesizing emerging insights from the literature on best practices for the analysis, use, and refinement of environment-recruitment relationships to inform decision making in dynamic ecosystems.

STRATEGI MAKSIMALISASI ANGGARAN BELANJA PADA BALAI PENELITIAN DAN PENGEMBANGAN LINGKUNGAN HIDUP DAN KEHUTANAN MANOKWARI

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Arif Hasan ◽  
Dedi Budiman Hakim ◽  
Irdika Mansur
Keyword(s):  
Decision Making ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Primary Data ◽  
Fiscal Year ◽  
The Third ◽  
Swot Matrix ◽  
Three Stages ◽  
Using Data

This study aims to analyze causes of the low uptake of the budget and formulate a strategy of maximizing the absorption of expenditure on Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari. Respondents involved are 20 people that consist of: treasury officials and holder output of activity. The data used were secondary data in the form of reports on budget realization (LRA) quarter I, II, III and IV of the fiscal year 2011 to 2015, and the primary data were in the form of interviews with the help of a questionnaire. While the analysis of the data used was descriptive analysis using data tabulation, and the analysis of the three stages strategy of the decision making used IFE and EFE matrix, SWOT matrix and QSPM matrix.The results showed that there are 19 factors causing low of budget absorption until the end of the third quarter, and there were 10 drafts of policy as a strategy for maximizing the absorption of the budget on Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari.ABSTRAKPenelitian ini bertujuan untuk menganalisis penyebab rendahnya penyerapan anggaran belanja dan merumuskan strategi maksimalisasi penyerapan anggaran belanja pada Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari. Responden yang terlibat adalah 20 orang yaitu pejabat perbendaharaan dan pemegang output kegiatan. Data yang digunakan adalah data sekunder berupa laporan realisasi anggaran (LRA) triwulan I, II, III dan IV tahun anggaran 2011 sampai 2015, dan data primer berupa wawancara dengan bantuan kuesioner. Sedangkan analisis data yang digunakan adalah analisis deskriptif menggunakan analisis tabulasi, dan analisis analisis strategi tiga tahap pengambilan keputusan menggunakan matriks IFE dan EFE, matriks SWOT dan matriks QSPM. Hasil penelitian menunjukkan bahwa terdapat 19 faktor penyebab rendahnya penyerapan anggaran belanja sampai akhir triwulan III, dan terdapat 10 rancangan kebijakan sebagai strategi maksimalisasi penyerapan anggaran belanja di Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari.

Influence of Confucian culture on entrepreneurial decision making using data from China's floating population

2020 ◽  
Vol 48 (7) ◽  
pp. 1-12
Author(s):  
Ran Xiong ◽  
Ping Wei
Keyword(s):  
Decision Making ◽  
Floating Population ◽  
Positive Role ◽  
Confucian Culture ◽  
Chinese Nation ◽  
Using Data ◽  
Entrepreneurial Decision ◽  
And Behavior ◽  
The Relationship

Confucian culture has had a deep-rooted influence on Chinese thinking and behavior for more than 2,000 years. With a manually created Confucian culture database and the 2017 China floating population survey, we used empirical analysis to test the relationship between Confucian culture and individual entrepreneurial choice using data obtained from China's floating population. After using the presence and number of Confucian schools and temples, and of chaste women as instrumental variables to counteract problems of endogeneity, we found that Confucian culture had a significant role in promoting individuals' entrepreneurial decision making among China's floating population. The results showed that, compared with those from areas of China not strongly influenced by Confucian culture, individuals from areas that are strongly influenced by Confucian culture were more likely to choose entrepreneurship as their occupation choice. Our findings reveal cultural factors that affect individual entrepreneurial behavior, and also illustrate the positive role of Confucianism as a representative of the typical cultures of the Chinese nation in the 21st century.

scholarly journals New dilemmas, old problems: advances in data analysis and its geoethical implications in groundwater management

2021 ◽  
Vol 3 (6) ◽  
Author(s):  
César de Oliveira Ferreira Silva ◽  
Mariana Matulovic ◽  
Rodrigo Lilla Manzione
Keyword(s):  
Decision Making ◽  
Data Analytics ◽  
Data Science ◽  
Final Decision ◽  
Aquifer Recharge ◽  
Groundwater Governance ◽  
Ethical Attitude ◽  
New Information ◽  
Modeling Experiment ◽  
Using Data

Abstract Groundwater governance uses modeling to support decision making. Therefore, data science techniques are essential. Specific difficulties arise because variables must be used that cannot be directly measured, such as aquifer recharge and groundwater flow. However, such techniques involve dealing with (often not very explicitly stated) ethical questions. To support groundwater governance, these ethical questions cannot be solved straightforward. In this study, we propose an approach called “open-minded roadmap” to guide data analytics and modeling for groundwater governance decision making. To frame the ethical questions, we use the concept of geoethical thinking, a method to combine geoscience-expertise and societal responsibility of the geoscientist. We present a case study in groundwater monitoring modeling experiment using data analytics methods in southeast Brazil. A model based on fuzzy logic (with high expert intervention) and three data-driven models (with low expert intervention) are tested and evaluated for aquifer recharge in watersheds. The roadmap approach consists of three issues: (a) data acquisition, (b) modeling and (c) the open-minded (geo)ethical attitude. The level of expert intervention in the modeling stage and model validation are discussed. A search for gaps in the model use is made, anticipating issues through the development of application scenarios, to reach a final decision. When the model is validated in one watershed and then extrapolated to neighboring watersheds, we found large asymmetries in the recharge estimatives. Hence, we can show that more information (data, expertise etc.) is needed to improve the models’ predictability-skill. In the resulting iterative approach, new questions will arise (as new information comes available), and therefore, steady recourse to the open-minded roadmap is recommended. Graphic abstract

Embracing School Counselors’ Situatedness: Data-Based Decision Making as Fulfillment of a Complex Identity

2021 ◽  
Vol 24 (1_part_3) ◽  
pp. 2156759X2110119
Author(s):  
Brett Zyromski ◽  
Catherine Griffith ◽  
Jihyeon Choi
Keyword(s):  
Decision Making ◽  
School Counselors ◽  
School Counselor ◽  
Use Of Data ◽  
Counselor Identity ◽  
Using Data ◽  
Definition Of ◽  
Support Students ◽  
Students Success ◽  
Data Based Decision Making

Since at least the 1930s, school counselors have used data to inform school counseling programming. However, the evolving complexity of school counselors’ identity calls for an updated understanding of the use of data. We offer an expanded definition of data-based decision making that reflects the purpose of using data in educational settings and an appreciation of the complexity of the school counselor identity. We discuss implications for applying the data-based decision-making process using a multifaceted school counselor identity lens to support students’ success.

scholarly journals HESR innovation in analysis that supports decision making and action

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
B Barr
Keyword(s):  
Decision Making ◽  
Health Equity ◽  
Social Protection ◽  
Well Being ◽  
Status Report ◽  
Policy Performance ◽  
European Health ◽  
The Individual ◽  
Health And Well Being ◽  
Inform Decision Making

Abstract The European Health Equity Status Report makes innovative use of microdata, at the level of the individual, to decompose the relative contributions of five essential underlying conditions to inequities in health and well-being. These essential conditions comprise: (1) Health services (2) Income security and social protection (3) Living conditions (4) Social and human capital (5) Employment and working conditions. Combining microdata across over twenty sources, the work of HESRi has also produced disaggregated indicators in health, well-being, and each of the five essential conditions. In conjunction with indicators of policy performance and investment, the HESRi Health Equity Dataset of over 100 indicators is the first of its kind, as a resource for monitoring and analysing inequities across the essential conditions and policies to inform decision making and action to reduce gaps in health and well-being.

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