Pub Date : 2021-05-30DOI: 10.35940/IJITEE.G8895.0510721
Nagesh* A.
the growth in population and economics the global demand for energy is increased considerably. The large amount of energy demand comes from houses. Because of this the energy efficiency in houses in considered most important aspect towards the global sustainability. The machine learning algorithms contributed heavily in predicting the amount of energy consumed in household level. In this paper, a energy audit system using machine learning are developed to estimate the amount of energy consumed at household level in order to identify probable areas to plug wastage of energy in household. Each energy audit system is trained using one machine leaning algorithm with previous power consumption history of training data. By converting this data into knowledge, gratification of analysis of energy consumption is attained. The performance of energy audit Linear Regression system is 82%, Decision Tree system is 86% and Random Forest 91% are predicted energy consumption and the performance of learning methods were evaluated based on the heir predictive accuracy, ease of learning and user friendly characteristics. The Random Forest energy audit system is superior when compare to other energy audit system.
{"title":"Energy Audit System for Households using Machine Learning","authors":"Nagesh* A.","doi":"10.35940/IJITEE.G8895.0510721","DOIUrl":"https://doi.org/10.35940/IJITEE.G8895.0510721","url":null,"abstract":"the growth in population and economics the global\u0000demand for energy is increased considerably. The large amount\u0000of energy demand comes from houses. Because of this the\u0000energy efficiency in houses in considered most important aspect\u0000towards the global sustainability. The machine learning\u0000algorithms contributed heavily in predicting the amount of\u0000energy consumed in household level. In this paper, a energy\u0000audit system using machine learning are developed to estimate\u0000the amount of energy consumed at household level in order to\u0000identify probable areas to plug wastage of energy in household.\u0000Each energy audit system is trained using one machine leaning\u0000algorithm with previous power consumption history of training\u0000data. By converting this data into knowledge, gratification of\u0000analysis of energy consumption is attained. The performance of\u0000energy audit Linear Regression system is 82%, Decision Tree\u0000system is 86% and Random Forest 91% are predicted energy\u0000consumption and the performance of learning methods were\u0000evaluated based on the heir predictive accuracy, ease of learning\u0000and user friendly characteristics. The Random Forest energy\u0000audit system is superior when compare to other energy audit\u0000system.","PeriodicalId":23601,"journal":{"name":"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74874782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-30DOI: 10.35940/IJITEE.G8951.0510721
Kartik Khariwal, Rishabh Gupta, Jatin P. Singh, Anshul Arora
With the increasing fame of Android OS over the past few years, the quantity of malware assaults on Android has additionally expanded. In the year 2018, around 28 million malicious applications were found on the Android platform and these malicious apps were capable of causing huge financial losses and information leakage. Such threats, caused due to these malicious apps, call for a proper detection system for Android malware. There exist some research works that aim to study static manifest components for malware detection. However, to the best of our knowledge, none of the previous research works have aimed to find the best set amongst different manifest file components for malware detection. In this work, we focus on identifying the best feature set from manifest file components (Permissions, Intents, Hardware Components, Activities, Services, Broadcast Receivers, and Content Providers) that could give better detection accuracy. We apply Information Gain to rank the manifest file components intending to find the best set of components that can better classify between malware applications and benign applications. We put forward a novel algorithm to find the best feature set by using various machine learning classifiers like SVM, XGBoost, and Random Forest along with deep learning techniques like classification using Neural networks. The experimental results highlight that the best set obtained from the proposed algorithm consisted of 25 features, i.e., 5 Permissions, 2 Intents, 9 Activities, 3 Content Providers, 4 Hardware Components, 1 Service, and 1 Broadcast Receiver. The SVM classifier gave the highest classification accuracy of 96.93% and an F1-Score of 0.97 with this best set of 25 features.
{"title":"R-MFDroid: Android Malware Detection using Ranked Manifest File Components","authors":"Kartik Khariwal, Rishabh Gupta, Jatin P. Singh, Anshul Arora","doi":"10.35940/IJITEE.G8951.0510721","DOIUrl":"https://doi.org/10.35940/IJITEE.G8951.0510721","url":null,"abstract":"With the increasing fame of Android OS over the past\u0000few years, the quantity of malware assaults on Android has\u0000additionally expanded. In the year 2018, around 28 million\u0000malicious applications were found on the Android platform and\u0000these malicious apps were capable of causing huge financial\u0000losses and information leakage. Such threats, caused due to these\u0000malicious apps, call for a proper detection system for Android\u0000malware. There exist some research works that aim to study static\u0000manifest components for malware detection. However, to the best\u0000of our knowledge, none of the previous research works have\u0000aimed to find the best set amongst different manifest file\u0000components for malware detection. In this work, we focus on\u0000identifying the best feature set from manifest file components\u0000(Permissions, Intents, Hardware Components, Activities, Services,\u0000Broadcast Receivers, and Content Providers) that could give better\u0000detection accuracy. We apply Information Gain to rank the\u0000manifest file components intending to find the best set of\u0000components that can better classify between malware applications\u0000and benign applications. We put forward a novel algorithm to find\u0000the best feature set by using various machine learning classifiers\u0000like SVM, XGBoost, and Random Forest along with deep learning\u0000techniques like classification using Neural networks. The\u0000experimental results highlight that the best set obtained from the\u0000proposed algorithm consisted of 25 features, i.e., 5 Permissions, 2\u0000Intents, 9 Activities, 3 Content Providers, 4 Hardware\u0000Components, 1 Service, and 1 Broadcast Receiver. The SVM\u0000classifier gave the highest classification accuracy of 96.93% and\u0000an F1-Score of 0.97 with this best set of 25 features.","PeriodicalId":23601,"journal":{"name":"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83502097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-30DOI: 10.35940/IJITEE.G8877.0510721
M. Shireesha, Yasser Mirza Baig, C. Sarita, Syed Rashid Iqbal, C. Wesley, N. Vaishnavi
Biomass is an important source of energy and fuel worldwide after coal, oil and natural gas. These fossil fuels do substantially more harm than renewable energy sources like biomass energy. Oil extracted from biomass is considered as an attractive option. In our project, we have specifically selected coconut shells as our feed as they are carbon-neutral, easy to store and abundantly available. Coconut shell also known as Cocos Nucifera shell in biological terms, once a discarded outer hardcover is now a product of great demand. Coconut shell charcoal is used as domestic and industrial fuel. This is obtained by various techniques. Initially, the shells are burned at high temperature and condensed to extract bio-oil using a series of unit operations and processes such as distillation, gas chromatography. These samples are then sent for analysis to compare them with the conventional fuel sources and then antimicrobial activity is examined. The medium-chain fatty acids in coconut oil have antimicrobial properties that can help protect against harmful microorganisms. Lauric acid and capric acid are known to have potent antimicrobial properties. Different bacterial cultures have been introduced later to test the ability of the oil to resist the harmful microorganisms and fungal cultures. Various analysis such as Infrared Spectroscopy, Gas-Mass Spectroscopy and Ultimate analysis are performed on the retrieved samples of oil extracted from the coconut shells. It is to be observed that the carbon content in the Cocos nucifera derived oil is less than the conventional diesel oil which makes it best for environmental uses.
{"title":"Bio-Oil Extraction from the Shells of Cocos Nucifera – A Source of Generating Renewable\u0000Energy and Its Analysis","authors":"M. Shireesha, Yasser Mirza Baig, C. Sarita, Syed Rashid Iqbal, C. Wesley, N. Vaishnavi","doi":"10.35940/IJITEE.G8877.0510721","DOIUrl":"https://doi.org/10.35940/IJITEE.G8877.0510721","url":null,"abstract":"Biomass is an important source of energy and fuel\u0000worldwide after coal, oil and natural gas. These fossil fuels do\u0000substantially more harm than renewable energy sources like\u0000biomass energy. Oil extracted from biomass is considered as an\u0000attractive option. In our project, we have specifically selected\u0000coconut shells as our feed as they are carbon-neutral, easy to\u0000store and abundantly available. Coconut shell also known as\u0000Cocos Nucifera shell in biological terms, once a discarded outer\u0000hardcover is now a product of great demand. Coconut shell\u0000charcoal is used as domestic and industrial fuel. This is obtained\u0000by various techniques. Initially, the shells are burned at high\u0000temperature and condensed to extract bio-oil using a series of\u0000unit operations and processes such as distillation, gas\u0000chromatography. These samples are then sent for analysis to\u0000compare them with the conventional fuel sources and then\u0000antimicrobial activity is examined. The medium-chain fatty acids\u0000in coconut oil have antimicrobial properties that can help protect\u0000against harmful microorganisms. Lauric acid and capric acid are\u0000known to have potent antimicrobial properties. Different\u0000bacterial cultures have been introduced later to test the ability of\u0000the oil to resist the harmful microorganisms and fungal cultures.\u0000Various analysis such as Infrared Spectroscopy, Gas-Mass\u0000Spectroscopy and Ultimate analysis are performed on the\u0000retrieved samples of oil extracted from the coconut shells. It is to\u0000be observed that the carbon content in the Cocos nucifera derived\u0000oil is less than the conventional diesel oil which makes it best for\u0000environmental uses.","PeriodicalId":23601,"journal":{"name":"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77183743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-30DOI: 10.35940/IJITEE.G8893.0510721
Nadia.M. Nawwar*, Kasban . Prof., Salama May
During the spread of the COVID-I9 pandemic in early 2020, the WHO organization advised all people in the world to wear face-mask to limit the spread of COVID-19. Many facilities required that their employees wear face-mask. For the safety of the facility, it was mandatory to recognize the identity of the individual wearing the mask. Hence, face recognition of the masked individuals was required. In this research, a novel technique is proposed based on a mobile-net and Haar-like algorithm for detecting and recognizing the masked face. Firstly, recognize the authorized person that enters the nuclear facility in case of wearing the masked-face using mobile-net. Secondly, applying Haar-like features to detect the retina of the person to extract the boundary box around the retina compares this with the dataset of the person without the mask for recognition. The results of the proposed modal, which was tested on a dataset from Kaggle, yielded 0.99 accuracies, a loss of 0.08, F1.score 0.98.
{"title":"Deep Learning Model Based on Mobile-Net with Haar-like Algorithm for Masked Face Recognition at Nuclear Facilities","authors":"Nadia.M. Nawwar*, Kasban . Prof., Salama May","doi":"10.35940/IJITEE.G8893.0510721","DOIUrl":"https://doi.org/10.35940/IJITEE.G8893.0510721","url":null,"abstract":"During the spread of the COVID-I9 pandemic in\u0000early 2020, the WHO organization advised all people in the\u0000world to wear face-mask to limit the spread of COVID-19. Many\u0000facilities required that their employees wear face-mask. For the\u0000safety of the facility, it was mandatory to recognize the identity of\u0000the individual wearing the mask. Hence, face recognition of the\u0000masked individuals was required. In this research, a novel\u0000technique is proposed based on a mobile-net and Haar-like\u0000algorithm for detecting and recognizing the masked face. Firstly,\u0000recognize the authorized person that enters the nuclear facility\u0000in case of wearing the masked-face using mobile-net. Secondly,\u0000applying Haar-like features to detect the retina of the person to\u0000extract the boundary box around the retina compares this with\u0000the dataset of the person without the mask for recognition. The\u0000results of the proposed modal, which was tested on a dataset\u0000from Kaggle, yielded 0.99 accuracies, a loss of 0.08, F1.score\u00000.98.","PeriodicalId":23601,"journal":{"name":"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87927472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Active travel (walking, cycling or scooting for transport) is considered a healthy and sustainable form of getting from A to B. The net effects of active travel on mobility-related carbon dioxide (CO2) emissions are complex and remarkably under-researched across a wide range of settings. This paper seeks to provide a summary of research on active travel as a low carbon mobility option in the context of the climate emergency. Key gaps are identified and discussed. The paper concludes with a projection of future research.
{"title":"Active Travel’s Contribution to Climate Change Mitigation: Research Summary and Outlook","authors":"C. Brand","doi":"10.16997/ATS.1036","DOIUrl":"https://doi.org/10.16997/ATS.1036","url":null,"abstract":"Active travel (walking, cycling or scooting for transport) is considered a healthy and sustainable form of getting from A to B. The net effects of active travel on mobility-related carbon dioxide (CO2) emissions are complex and remarkably under-researched across a wide range of settings. This paper seeks to provide a summary of research on active travel as a low carbon mobility option in the context of the climate emergency. Key gaps are identified and discussed. The paper concludes with a projection of future research.","PeriodicalId":23601,"journal":{"name":"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE","volume":"89 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79979590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Citizen involvement in deliberative forums is frequently discussed with an eye to boosting the legitimacy of decision-making. However, this idea has been radically challenged by Cristina Lafont (2015, 2017, 2019), who argues that deliberative forums may decrease rather than increase legitimacy. Yet Lafont’s legitimacy challenge has been primarily discussed at a theoretical level without taking the perceptions of citizens into account. Referring to an explorative student conjoint experiment this article examines how non-participants assess deliberative forums. It focuses on different authorization mechanisms and a set of institutional design features and combines them with non-participants’ substantive considerations and their awareness of such forums. Empirical findings of the student sample confirm Lafont’s critique, as they suggest that respondents want the authority of deliberative forums to be clearly circumscribed and minimal but also maximally representative and inclusive. Moreover, legitimacy perceptions are closely tied to substantive considerations and awareness of such novel and unfamiliar institutions.
{"title":"Just Advisory and Maximally Representative: A Conjoint Experiment on Non-Participants' Legitimacy Perceptions of Deliberative Forums","authors":"Saskia Goldberg","doi":"10.16997/JDD.973","DOIUrl":"https://doi.org/10.16997/JDD.973","url":null,"abstract":"Citizen involvement in deliberative forums is frequently discussed with an eye to boosting the legitimacy of decision-making. However, this idea has been radically challenged by Cristina Lafont (2015, 2017, 2019), who argues that deliberative forums may decrease rather than increase legitimacy. Yet Lafont’s legitimacy challenge has been primarily discussed at a theoretical level without taking the perceptions of citizens into account. Referring to an explorative student conjoint experiment this article examines how non-participants assess deliberative forums. It focuses on different authorization mechanisms and a set of institutional design features and combines them with non-participants’ substantive considerations and their awareness of such forums. Empirical findings of the student sample confirm Lafont’s critique, as they suggest that respondents want the authority of deliberative forums to be clearly circumscribed and minimal but also maximally representative and inclusive. Moreover, legitimacy perceptions are closely tied to substantive considerations and awareness of such novel and unfamiliar institutions.","PeriodicalId":23601,"journal":{"name":"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81442312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-30DOI: 10.35940/IJMH.F1262.035721
Hamza Tubaishat*, Refaat Faouri, Hussam Alshammar
With the increasing concerns of hypergrowth in order to compete in the international markets and survive, this study aids all firms in various industries, entrepreneurs and decision makers and draw their attention to business models and hypergrowth strategies that are applied by the fast-growing firms in the world. This study investigates the impact of hypergrowth strategy- leveraging assets that developed by Salim, (2014) and firm performance in exponential organizations; The sample size tested constituted of (34) exponential organizations form the fortune 500 and multiple regressions via Stata version 15 was applied for the time period of (2016-2019). Preliminary analysis was conducted to check the assumptions related to the regression models which include unit root, autocorrelation, residuals normality and heteroskedasticity issues. The results showed significant positive relationships between Growth in Fixed Assets (leveraging Assets strategy) and firm performance measured by ROA and ROE whereas, the moderating role of marketing spending and firm size showed insignificant impact in the relationship.
随着人们对超高速增长的日益关注，为了在国际市场上竞争和生存，本研究帮助各行各业的所有公司、企业家和决策者，并提请他们注意世界上快速增长的公司所应用的商业模式和超高速增长战略。本研究探讨了萨利姆(2014)提出的超增长战略——杠杆化资产对指数型组织中企业绩效的影响;测试的样本量由财富500强中的(34)个指数组织组成，并通过Stata version 15对(2016-2019)时间段进行多元回归。对单位根、自相关、残差正态性和异方差等回归模型的相关假设进行了初步分析。结果显示，固定资产增长(杠杆化资产策略)与企业绩效(ROA和ROE)之间存在显著的正相关关系，而营销支出和企业规模的调节作用对关系的影响不显著。
{"title":"Exponential Organizations Hypergrowth Strategies And Firm Performance: The Moderating Role of Firm Size And Marketing Spending","authors":"Hamza Tubaishat*, Refaat Faouri, Hussam Alshammar","doi":"10.35940/IJMH.F1262.035721","DOIUrl":"https://doi.org/10.35940/IJMH.F1262.035721","url":null,"abstract":"With the increasing concerns of hypergrowth in order to compete in the international markets and survive, this study aids all firms in various industries, entrepreneurs and decision makers and draw their attention to business models and hypergrowth strategies that are applied by the fast-growing firms in the world. This study investigates the impact of hypergrowth strategy- leveraging assets that developed by Salim, (2014) and firm performance in exponential organizations; The sample size tested constituted of (34) exponential organizations form the fortune 500 and multiple regressions via Stata version 15 was applied for the time period of (2016-2019). Preliminary analysis was conducted to check the assumptions related to the regression models which include unit root, autocorrelation, residuals normality and heteroskedasticity issues. The results showed significant positive relationships between Growth in Fixed Assets (leveraging Assets strategy) and firm performance measured by ROA and ROE whereas, the moderating role of marketing spending and firm size showed insignificant impact in the relationship.","PeriodicalId":23601,"journal":{"name":"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88742527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-28DOI: 10.16997/10.16997/JDD.988
A. Przybylska, Todd R. Davies, Weiyu Zhang
Online deliberation is one important instance of civic tech that is both for and by the citizens, through engaging citizens in Internet-supported deliberative discussions on public issues. This article explains the origins of a set of symposium articles in this journal issue based on the 2017 'International Conference on Deliberation and Decision Making: Interdisciplinary Perspectives on Civic Tech' held in Singapore. Symposium articles are presented in a sequence that flows from designing decision making systems to platforms to specific technological nudges.
{"title":"Online Deliberation and #CivicTech: A Symposium","authors":"A. Przybylska, Todd R. Davies, Weiyu Zhang","doi":"10.16997/10.16997/JDD.988","DOIUrl":"https://doi.org/10.16997/10.16997/JDD.988","url":null,"abstract":"Online deliberation is one important instance of civic tech that is both for and by the citizens, through engaging citizens in Internet-supported deliberative discussions on public issues. This article explains the origins of a set of symposium articles in this journal issue based on the 2017 'International Conference on Deliberation and Decision Making: Interdisciplinary Perspectives on Civic Tech' held in Singapore. Symposium articles are presented in a sequence that flows from designing decision making systems to platforms to specific technological nudges.","PeriodicalId":23601,"journal":{"name":"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87767365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article entails a comparative study of municipal consultative councils in Guadalajara, Mexico, to explore the mediation styles employed by those in charge of conducting the councils’ deliberation, which I call Mediators of Deliberative Process (MDP). Through the construction of an indicator called Participants’ Perception of Success, the article evaluates the relationship between the mediators’ styles and the degree to which participants think that the consultative council (CC) has been successful in achieving its purported goals. The results suggest that 1) MDPs exert different levels of directiveness that change over the course of the mediation according to the type of decision-making under deliberation; 2) that participants have a higher perception of the CC’s success in the case where the MDP is an expert in the subject matter of the council, resorts to a more directive approach to mediation, and deliberation is more oriented towards the outcomes of the mediation; and 3) that participants perceive the CCs as successful spaces to communicate with public officials, but least successful in having an influence over public policies.
{"title":"Mediation Styles and Participants’ Perception of Success in Consultative Councils: The case of Guadalajara, Mexico","authors":"David Garcia","doi":"10.16997/JDD.286","DOIUrl":"https://doi.org/10.16997/JDD.286","url":null,"abstract":"This article entails a comparative study of municipal consultative councils in Guadalajara, Mexico, to explore the mediation styles employed by those in charge of conducting the councils’ deliberation, which I call Mediators of Deliberative Process (MDP). Through the construction of an indicator called Participants’ Perception of Success, the article evaluates the relationship between the mediators’ styles and the degree to which participants think that the consultative council (CC) has been successful in achieving its purported goals. The results suggest that 1) MDPs exert different levels of directiveness that change over the course of the mediation according to the type of decision-making under deliberation; 2) that participants have a higher perception of the CC’s success in the case where the MDP is an expert in the subject matter of the council, resorts to a more directive approach to mediation, and deliberation is more oriented towards the outcomes of the mediation; and 3) that participants perceive the CCs as successful spaces to communicate with public officials, but least successful in having an influence over public policies.","PeriodicalId":23601,"journal":{"name":"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89442994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We consider a decentralized, multilayered representative democracy, where citizens participate in deliberative policy formation after self-organizing into a pyramidal hierarchy of small groups. Each group elects a delegate, who expresses the deliberative consensus of that group at the next tier of the pyramid. The pyramid thus acts as a communications network which efficiently aggregates useful information and policy ideas. It is also a powerful meritocratic device, which channels legislative responsibility towards the most committed and competent citizens. This yields a practical implementation of deliberative democracy in a large polity.
{"title":"Pyramidal Democracy","authors":"M. Pivato","doi":"10.16997/jdd.82","DOIUrl":"https://doi.org/10.16997/jdd.82","url":null,"abstract":"We consider a decentralized, multilayered representative democracy, where citizens participate in deliberative policy formation after self-organizing into a pyramidal hierarchy of small groups. Each group elects a delegate, who expresses the deliberative consensus of that group at the next tier of the pyramid. The pyramid thus acts as a communications network which efficiently aggregates useful information and policy ideas. It is also a powerful meritocratic device, which channels legislative responsibility towards the most committed and competent citizens. This yields a practical implementation of deliberative democracy in a large polity.","PeriodicalId":23601,"journal":{"name":"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88288220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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