scholarly journals An Exercise on Data-Based Decision Making

2020 ◽  
Vol 82 (8) ◽  
pp. 522-528
Author(s):  
Florian Fiebelkorn ◽  
Nils Puchert ◽  
Aaron T. Dossey

The ability to make criteria-based and thought-out decisions in everyday life as well as to answer questions pertaining to society at large, such as those regarding climate change and the loss of biodiversity, is becoming more and more important against the backdrop of an increasingly complex world with a wide range of options for action or inaction. Using the method of “data-based decision making,” this article presents a decision-making strategy for improving the evaluation competence of students that is particularly suitable for teaching socioscientific issues in the context of sustainable development. Using the example of human consumption of insects (sometimes termed “entomophagy,” although this term is defined as the consumption of insects by any organism), the students will evaluate the potential for insects as an alternative, sustainable source of protein as compared with conventional meat.

2021 ◽  
Vol 9s8 ◽  
pp. 1-4
Author(s):  
Simon Goldhill ◽  
Georgie Fitzgibbon

This special issue focuses on the intersections of climate, disasters, and development. The research presented here is designed to facilitate climate-resilient decision-making, and promote sustainable development by maximising the beneficial impacts of responses to climate change and minimising negative impacts across the full spectrum of geographies and sectors that are potentially affected by the changing climate.


Author(s):  
David Pencheon ◽  
Sonia Roschnik ◽  
Paul Cosford

This chapter will help you understand the importance of, and the relationships between, health, health and care systems, sustainable development, and climate change, and to do so locally and globally. The specific objectives of the chapter are to help you: make the case for action by understanding how science, law, policies, and values can be framed and translated into specific and system wide actions; translate what is known and what protects and creates health into policy and practice, and help address barriers to implementation and quality improvement in health and care systems; engage a wide range of stakeholders to ensure appropriate cross-system action involving a diverse group of people, skills, and influences across the health and care system.


Author(s):  
Mark Carter ◽  
Jennifer Stephenson ◽  
Sarah Carlon

The term data-based decision-making can refer to a wide range of practices from formative classroom use of monitoring in order to improve instruction to system-wide use of “big” data to guide educational policy. Within the context of special education, a primary focus has been on the formative classroom use of data to guide teachers in improving instruction for individual students. For teachers, this typically involves the capacity to (1) determine what data need to be collected to appropriately monitor the skill being taught, (2) collect that data, (3) interpret the data and make appropriate decisions, and (4) implement changes as needed. A number of approaches to such data-based decision-making have evolved, including precision teaching, curriculum-based assessment, and curriculum-based measurement. Evidence from systematic reviews and meta-analyses indicates instruction incorporating data-based decision-making has positive effects on outcomes for students with special education needs although the size of these effects has been variable. While the extent of the research base is modest, there are indications that some specific factors may be related to this variability. For example, the use of decision-making rules and graphic display of data appears to improve student outcomes and the frequency of data collection may differentially affect improvement. The presence and frequency of support offered to teachers may also be important to student outcomes. There is a need to increase our research base examining data-based decision-making and, more specifically, a need to more clearly define and characterize moderators that contribute to its effectiveness. In addition, there is a case for research on the wider use of data on student outcomes to inform broader policy and practice.


2020 ◽  
Author(s):  
Camilla Bredberg ◽  
Anna Bergqvist

<p>Climate change is one of the most important global issues affecting the entire population on the earth, particularly young people. Since climate change is already threating us all, it is of utmost importance to raise this issue in a wide range of community policies, including school programs. In line with this reasoning, teacher at our school have together started a collaborative project in different subject as Natural Science, Swedish, Economics, Human Rights and Social Science focused on United Nations Sustainable Development Goals. The primary objective with this collaborative project is to work with United Nations sustainaable Development Goals since it is applicable to the school subjects in many different aspects, including Economic, Social science and Science. An important objective of this project is to provide students with educational and practical training in how to make scientific inquiries and write a scientific report. During this school year, participating students will attend lectures and exhibitions concerning United Nations’ Sustanable Development Goals. In April 2020 the students will present their reports in a conference at the department of Geological Sciences at Stockholm University.</p>


2020 ◽  
Vol 6 (4) ◽  
pp. 437-462
Author(s):  
Leonid M. Grigoryev ◽  
Dzhanneta D. Medzhidova

The international community has become increasingly concerned with sustainable development and particularly with preventing climate change. The COVID-19 pandemic and global recession of 2020 will exacerbate the situation not just for 2020–2021, but for many years to come. Sadly, it is a game-changer. The necessity to solve problems of poverty (energy poverty) and inequality, as well as growth and climate change mitigation, now haunts intellectuals, forecasters, and politicians. These three problems constitute the global energy trilemma (GET). There is a wide range of forecasts, scenarios, and political plans emerging after the Paris Agreement in 2015. They demonstrate concerns about the slow progress on the matter; however, they still increase the goals for 2030–2050. The global capital formation is a key tool for changes while also representing the hard-budget investment constraints. This article examines practical features of recent trends in energy, poverty, and climate change mitigation, arguing that allocation and coordinated management of sufficient financial resources are vital for a simultaneous solution of GET. No group of countries can hope to solve each of the Sustainable Development Goals (SDG) separately. The global economy has reached the point where it has an urgent need for cooperation.


Spatium ◽  
2011 ◽  
pp. 40-44
Author(s):  
Aleksandra Stupar ◽  
Zoran Nikezic

The global reality, intensively exposed to the challenges caused by climate changes, demands new ideas, methods and tools which could eventually prevent or mitigate the consequences of carbon emissions. Therefore, the contemporary cities, as focal points of the new global comprehension, have become testing grounds for numerous initiatives based upon imperatives of sustainability, environmental consciousness, energy efficiency and ?green? life style. In Serbia, experience in matters of the built environment has had a tendency to be formed exclusively on the basis of authentic local initiatives, aspirations, successes and failures. In the global effort for sustainable development, considering the commitments imposed by climate change and carbon emission, a greater reliance on results achieved elsewhere would be a welcome change. Consequently, this article will present and comment two eco-driven projects - Sarriguren and J?tk?saari, both covering a wide range of useful ideas, intriguing concepts and globally applicable solutions for the challenges caused by climate shifts.


2021 ◽  
Author(s):  
Laura Viviana Garzon Useche ◽  
Karel Aldrin Sánchez Hernández ◽  
Gerald Augusto Corzo Pérez ◽  
German Ricardo Santos Granados

<p>The importance of knowing and representing rural and urban development in water management is vital for its sustainability.  An essential part of the management required that stakeholders are more aware of the consequences of decisions and in some way, can link decisions towards sustainability.  For this, a mobile app serious game called Water Citizens has been proposed as knowledge dissemination and to provide a better understanding of the way decisions affect Sustainable Development Goals (SDGs). A complex model of a pilot region (Combeima in Ibague, Colombia) has been developed, and the model results are few into equations to estimate fluctuations of SDGs in the region. Running this complex model in real-time, for a mobile application, requires an extensive high-performance computing system linked to large and complex network setup. To solve this problem, a fast yet accurate surrogate model is proposed.</p><p>Therefore, this study contemplates an analysis of methods to forecast sustainable development indicators evaluated through climate change scenarios for a period between 1989-2039. The proposed scenarios associated the public health, livestock, agriculture, engineering, education and environment sectors with climate variables, climate change projections, land cover and land use, water demands (domestic, agricultural and livestock) and water quality (BOD and TSS). Generating the possibility that each player can make decisions that represent the actions that affect or contribute to the demand, availability and quality of water in the region.</p><p>Consequently, a set of indicators were selected to recreate the dimensions of each sector and reflect its relationship with the Sustainable Development Objectives, as opposed to the decisions made by each player. In addition, three categories were considered for the levels of sustainability: low (0.0 - 0.33), medium (0.34 - 0.66) and high (0.67 - 1.0) for the calculated SDG values. </p><p>Self-learning techniques have been employed in the analysis of decision-making problems. In this study, the nearest K neighbours (k-NN) and a multilayer perceptron network (MLP) were used. Through an analysis based on the responses of the players and sustainability indexes, a multiple correlation analysis was developed in order to consolidate the learning dataset, which was randomly partitioned in proportions 0.7 and 0.3 for the training and test subsets respectively. Subsequently, the model fit and performance was carried out, analysing the MSE error metric and confusion matrix.</p><p>Finally, the results of this study will allow to determine the potential of supervised learning models as a decision-making tool for the evaluation of sustainable development, as well as to obtain a better abstraction and representation of the water resource to the challenges related to climate adaptation and water sustainability measures of citizen action, besides generating new approaches for the use of artificial intelligence in land use planning and climate adaptation processes.</p>


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