System Mapping as a Service for Post-COVID Regional Transition

2021 ◽  
Vol 5 (1) ◽  
pp. 154-170
Author(s):  
Carmen Frendo
Keyword(s):  
Decision Making ◽  
Global Economy ◽  
Linear Models ◽  
Systems Approach ◽  
Economic Activities ◽  
Market Anomalies ◽  
Global Pandemic ◽  
Restricted Mobility ◽  
Purchasing Patterns ◽  
System Mapping

The COVID-19 pandemic brought about a devastating economic and social disruption. The virus outbreak was possibly triggered in Wuhan, in the Chinese province of Hubei. In a few weeks it escalated to a global pandemic. In an intensely connected global economy the disease left contractions in demand and supply. Consumer and organisational purchasing patterns were distorted and created market anomalies. The global financial markets plunged. The restricted mobility among countries slowed drastically the global economic activities, especially in territories whose main source of revenue is related to tourism. In this context, a consortium of ten partners from nine European countries embarked on a collaborative research project, funded by EIT Climate-KIC. The project aims to provide policymakers and decision-makers with an innovative qualitative research tool that will aid a resilient recovery from COVID-19. Complex challenges, such as the COVID pandemic, require a systems approach to decision-making rather than linear models of decision-making.

Considering a family systems approach to surrogate decision-making.

2017 ◽  
Vol 35 (1) ◽  
pp. 85-87
Author(s):  
Elizabeth K. Vig ◽  
Janelle S. Taylor ◽  
Ann M. O'Hare
Keyword(s):  
Decision Making ◽  
Family Systems ◽  
Systems Approach ◽  
Surrogate Decision Making ◽  
Surrogate Decision

scholarly journals A top-level model of case-based argumentation for explanation: Formalisation and experiments

2021 ◽  
pp. 1-36
Author(s):  
Henry Prakken ◽  
Rosa Ratsma
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Linear Models ◽  
Evaluation Studies ◽  
Data Sets ◽  
Machine Learning Applications ◽  
Level Model ◽  
Similarities And Differences ◽  
Further Development ◽  
Case Based

This paper proposes a formal top-level model of explaining the outputs of machine-learning-based decision-making applications and evaluates it experimentally with three data sets. The model draws on AI & law research on argumentation with cases, which models how lawyers draw analogies to past cases and discuss their relevant similarities and differences in terms of relevant factors and dimensions in the problem domain. A case-based approach is natural since the input data of machine-learning applications can be seen as cases. While the approach is motivated by legal decision making, it also applies to other kinds of decision making, such as commercial decisions about loan applications or employee hiring, as long as the outcome is binary and the input conforms to this paper’s factor- or dimension format. The model is top-level in that it can be extended with more refined accounts of similarities and differences between cases. It is shown to overcome several limitations of similar argumentation-based explanation models, which only have binary features and do not represent the tendency of features towards particular outcomes. The results of the experimental evaluation studies indicate that the model may be feasible in practice, but that further development and experimentation is needed to confirm its usefulness as an explanation model. Main challenges here are selecting from a large number of possible explanations, reducing the number of features in the explanations and adding more meaningful information to them. It also remains to be investigated how suitable our approach is for explaining non-linear models.

scholarly journals COVID-19 pandemic: A review of the global lockdown and its far-reaching effects

2021 ◽  
Vol 104 (2) ◽  
pp. 003685042110198
Author(s):  
Helen Onyeaka ◽  
Christian K Anumudu ◽  
Zainab T Al-Sharify ◽  
Esther Egele-Godswill ◽  
Paul Mbaegbu
Keyword(s):  
Mental Health ◽  
Global Economy ◽  
World Health ◽  
Global Pandemic ◽  
The World ◽  
Education Delivery ◽  
Environmental Air ◽  
Health Organization ◽  
Almost All ◽  
The Impact

COVID-19, caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), was declared a pandemic by the World Health Organization (WHO) on the 11th of March 2020, leading to some form of lockdown across almost all countries of the world. The extent of the global pandemic due to COVID-19 has a significant impact on our lives that must be studied carefully to combat it. This study highlights the impacts of the COVID-19 pandemic lockdown on crucial aspects of daily life globally, including; Food security, Global economy, Education, Tourism, hospitality, sports and leisure, Gender Relation, Domestic Violence/Abuse, Mental Health and Environmental air pollution through a systematic search of the literature. The COVID-19 global lockdown was initiated to stem the spread of the virus and ‘flatten the curve’ of the pandemic. However, the impact of the lockdown has had far-reaching effects in different strata of life, including; changes in the accessibility and structure of education delivery to students, food insecurity as a result of unavailability and fluctuation in prices, the depression of the global economy, increase in mental health challenges, wellbeing and quality of life amongst others. This review article highlights the impacts of the COVID-19 pandemic lockdown across the globe. As the global lockdown is being lifted in a phased manner in various countries of the world, it is necessary to explore its impacts to understand its consequences comprehensively. This will guide future decisions that will be made in a possible future wave of the COVID-19 pandemic or other global disease outbreak.

“Air pollution arrested not imprisoned”: The impact of laws invoked on Covid-19 city lockdowns

2021 ◽  
Vol 2 (4) ◽  
Author(s):  
Emmanuel Mensah Aboagye ◽  
◽  
Nana Osei Owusu ◽  
Keyword(s):  
Air Pollution ◽  
Environmental Problem ◽  
World Health Organisation ◽  
Developed Countries ◽  
World Health ◽  
Economic Activities ◽  
Global Pandemic ◽  
Depth Study ◽  
The Government ◽  
The Impact

Air pollution continues to be an environmental problem that poses a lot of health risks to the young and aged. Developed countries have invested heavily to curb this environmental problem, causing severe threats to human lives, yet the results do not look convincing. In developing countries, the situation is difficult than they can imagine, resulting in governments borrowing to fight what looks like a lost battle [1-3]. The in-depth study of this environmental menace - air pollution, suggests that the government enacts stringent measures to help fight this battle. This is because air pollution has natural (volcanic eruption) and anthropogenic (human activities) causes. In December 2019, the deadly Coronavirus (Covid-19) outbreak was soon declared as a global pandemic by the World Health Organisation (WHO) [4]. Majority of countries have had their share of the impact of this outbreak. Many countries resorted to city lockdown to strictly control the movement of people and economic activities as recommended by WHO.

An Efficient Decision-Making Approach for Short Term Indoor Room Temperature Forecasting in Smart Environment: Evidence from India

2021 ◽  
pp. 1-42
Author(s):  
Kamal Pandey ◽  
Bhaskar Basu ◽  
Sandipan Karmakar
Keyword(s):  
Decision Making ◽  
Energy Consumption ◽  
Room Temperature ◽  
Linear Models ◽  
Comfort Level ◽  
Support Vector ◽  
Nonlinear Phenomenon ◽  
Short Term ◽  
Smart Buildings ◽  
Temperature Forecasting

“Smart cities” start with “Smart Buildings” that improve the quality of urban services while ensuring sustainability. The current scenario in India reveals that the corporate and residential building structures are incorporating various self-sustainable techniques. Out of the multiple factors governing the comfort of smart buildings, indoor room temperature is an important one, since it drives the need of cooling or heating through controlling systems. Around one-third of total energy consumption of commercial buildings in India is attributed to Heating, Ventilation and Air Conditioning (HVAC) systems. Accurate prediction of indoor room temperature helps in creating an efficient equilibrium between energy consumption and comfort level of the building, thus providing opportunities for efficient decision making for energy optimization. Considering Indian climatic and geographical conditions, this paper proposes an efficient decision making approach using Bayesian Dynamic Models (BDM) for short-term indoor room temperature forecasting of a corporate building structure. The results obtained from Bayesian Dynamic linear model, using Expectation Maximization (EM) algorithm, have been compared to standard Auto Regressive Integrated Moving Average (ARIMA) model, and have been found to be more accurate. Forecasting of indoor room temperature is a highly nonlinear phenomenon, so to further improve the accuracy of the linear models, a hybrid modeling approach has been proposed. The inclusion of state-of-the-art nonlinear models such as Artificial Neural Networks (ANNs) and Support Vector Regression (SVR) improves the forecasting accuracy of the linear models significantly. Results show that the hybrid model obtained using BDM and ANN is the best fit model.

scholarly journals Global economy interacts with climate change to jeopardize species conservation: the case of the greater flamingo in the Mediterranean and West Africa

2011 ◽  
Vol 39 (1) ◽  
pp. 1-3 ◽  
Author(s):  
ARNAUD BÉCHET ◽  
MANUEL RENDÓN-MARTOS ◽  
MIGUEL ÁNGEL RENDÓN ◽  
JUAN AGUILAR AMAT ◽  
ALAN R. JOHNSON ◽  
...  
Keyword(s):  
Climate Change ◽  
Global Economy ◽  
World Economy ◽  
Species Conservation ◽  
Price Volatility ◽  
Economic Activities ◽  
Anthropogenic Habitats ◽  
Recent Financial Crisis ◽  
Economic Use

The conservation of many species depends on sustainable economic activities that shape their habitats. The economic use of these anthropogenic habitats may change quickly owing to world trade globalization, market reorientations, price volatility or shifts in subsidy policies. The recent financial crisis has produced a global impact on the world economy. How this may have affected the use of habitats beneficial to biodiversity has not yet been documented. However, consequences could be particularly acute for species sensitive to climate change, jeopardizing long-term conservation efforts.

scholarly journals Tertiary Education Migration and Cook Islands' Development

2021 ◽  
Author(s):  
◽  
Lea Raymond
Keyword(s):  
Decision Making ◽  
Personal Growth ◽  
Global Economy ◽  
Tertiary Education ◽  
Rapid Development ◽  
Field Research ◽  
Cook Islands ◽  
The Pacific ◽  
Attractive Option ◽  
Education And Development

<p>In 2016, field research in the Cook Islands explored the correlation of migration, education and development in the Pacific by focussing on the impacts of tertiary education migration on the development of the Cook Islands. A total of 29 participants contributed to this research, most fitting into at least one of these three categories: a) returned tertiary education migrants b) non-returned education migrants, and c) Cook Islands Governmental officials.   Depopulation is one of the greatest challenges for the Cook Islands today. While striving for rapid development and for meaningful participation in an ever-changing global economy, obtaining overseas university degrees is seen as an attractive option for many young Cook Islanders. It is not only seen as a way to contribute to the development of their home country, but to also ensure that opportunities for personal growth are abundant. With many fearing that the departure of the ‘brightest minds’ to overseas universities results in brain drain, this research explores the drivers for the decision-making regarding migration. It further discusses the lived realities of tertiary education migrants who chose to return home after obtaining an overseas university degree and the implications of this movement for the Cook Islands Government.   This research found that the key drivers for the decision-making regarding tertiary education migration may not be reduced to the availability of quality university study, but that there is a variety of other factors that influence young Cook Islanders. Instead of preventing young promising Cook Islanders from leaving the country, this research suggests that the overseas diaspora could be a valuable resource to contribute to Cook Islands’ development. Further, this research found that strictly applying the neo-classical approach to migratory processes does not seem sufficient to explain the perceived hurdles and enablers for returned graduates from the Cook Islands.</p>

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