Kyle Bahr - Profile on Academia.edu (original) (raw)
Papers by Kyle Bahr
Three-Dimensional Discrete Element Modeling of Disc Cutting Applications
Scientific Reports, Feb 28, 2022
to the social problems such as conflicts with stakeholders such as Onsen (Hot Spa) owners, despit... more to the social problems such as conflicts with stakeholders such as Onsen (Hot Spa) owners, despite the abundant geothermal resources. Study area was Tsuchiyu Onsen in Fukushima prefecture, Tohoku (Northeast) District, Japan, where the Great East Japan Earthquake and Fukushima Nuclear Accident occurred in 2011, and the reconstruction and local initiatives of geothermal energy were still unclear. Agent-based modeling is an effective methodology for modeling and analysis of opinion formation. Parameter estimation method was proposed to extract appropriate parameters from various factors through a Bayesian Network. The characteristics of stakeholders and communities that affected opinion formation in the survey area were successfully extracted. Here we show the sufficient methodology to quantify the characteristics of each person using survey data, and to extract the parameters of the agent by data-driven inverse analysis. By using this methodology, we could reproduce opinion diversity, which is a property of opinion formation in real communities. This result suggests that the model replicates the actual formation of opinion in Tsuchiyu, where the economy was boosted by the construction of a binary cycle power plant. The March 2011 Great East Japan Earthquake, which had a magnitude of 9.0 and maximum seismic intensity of 7, caused great damage to infrastructure, including the collapse of buildings, and produced a tsunami over 39 m high that struck the Pacific coast of Japan 1 . As a result of the earthquake, 470,000 people were forced to evacuate their homes 2 . Within Fukushima Prefecture, 165,000 people were forced to evacuate and 37,000 of these have yet to return 3 . This fall in population has resulted in a decline in local industry. Tsuchiyu-Onsen town (Tsuchiyu) in Fukushima City has been working on restoring its economy following the earthquake, focusing on a geothermal power project in an area of hot springs. Onsen ('hot spa' in English) are attractive to local people and tourists alike. The physical and reputational damage caused by the Fukushima Daiichi nuclear power plant accident has resulted in a 35% fall in the number of tourists visiting hot springs in the area, compared with the period before the earthquake 4 . Tsuchiyu is no exception to this trend, which has resulted in the closure of 5 of 16 hotels in the town 5 . To address this problem, a local volunteer-led organization that aims to assist the recovery of Tsuchiyu planned a geothermal project, and a 400 kW binary cycle power plant was installed in 2015 6 . A local company operates the power generation business and sells the electricity generated by the geothermal plant using the Feed-in Tariffs (FIT) law 7 , generating ~ 100 million yen per year, some of which is put towards urban development to attract tourists. Although Tsuchiyu represents one of the most successful cases of geothermal development in a Japanese Onsen area, the total capacity of geothermal power plants has been largely unchanged for more than a decade, despite Japan's vast geothermal potential, estimated at ~ 23 GW e 8,9 . This stagnation is due primarily to Japan's reliance on nuclear power, which supplied about 31% of Japan's electricity before the Fukushima Daiichi nuclear
Graph theoretic network mapping of rock fracture networks for mechanism classification using machine learning techniques
Japan Geoscience Union, Mar 14, 2018
Questionnaire and results for "Agent-Based Simulation with Data-Driven Parameterization for Evaluation of Social Acceptance of a Geothermal Development
Questionnaire and results of the social survey for "Agent-Based Simulation with Data-Driven ... more Questionnaire and results of the social survey for "Agent-Based Simulation with Data-Driven Parameterization for Evaluation of Social Acceptance of a Geothermal Development".
Input data and the source code for "Agent-Based Simulation with Data-Driven Parameterization for Evaluation of Social Acceptance of a Geothermal Development
Input data and the source code for "Agent-Based Simulation with Data-Driven Parameterization... more Input data and the source code for "Agent-Based Simulation with Data-Driven Parameterization for Evaluation of Social Acceptance of a Geothermal Development"
Sustainability, 2020
Dealing with the social and political impacts of large complex projects requires monitoring and r... more Dealing with the social and political impacts of large complex projects requires monitoring and responding to concerns from an ever-evolving network of stakeholders. This paper describes the use of text analysis algorithms to identify stakeholders’ concerns across the project life cycle. The social license (SL) concept has been used to monitor the level of social acceptance of a project. That acceptance can be assessed from the texts produced by stakeholders on sources ranging from social media to personal interviews. The same texts also contain information on the substance of stakeholders’ concerns. Until recently, extracting that information necessitated manual coding by humans, which is a method that takes too long to be useful in time-sensitive projects. Using natural language processing algorithms, we designed a program that assesses the SL level and identifies stakeholders’ concerns in a few hours. To validate the program, we compared it to human coding of interview texts from...
Agent-based model coupled with Bayesian estimation for evaluation of social acceptance of geothermal development
Journal of Cleaner Production, 2018
Interest in and understanding of the various competencies that university sustainability and envi... more Interest in and understanding of the various competencies that university sustainability and environmental graduate degree programs should aim for has increased in recent years. Yet empirical efforts that assess the effectiveness of programs from a competency building perspective have visibly lacked-particularly from a macro-perspective examining multiple cases. This study fills this gap in the literature by conducting a novel comparative assessment of different types of master's degrees in a sample of 14 programs from top-performing universities in Europe, Asia and North America. Our study uses quantitative and qualitative approaches to assess the effectiveness of differing types of programs at building key sustainability competencies defined in the literature, and to understand the defining characteristics of programs, innovative competency building approaches, challenges encountered, and potential countermeasures. Using a typological methodology, this study classifies programs into three categories: research-oriented, neutrally-oriented and practice-oriented and then examined the competency building effectiveness of each category through questionnaires administered to faculty (n=40) and students (n = 205). Results revealed low success in all program types at equipping graduates with anticipatory competencies. Statistically significant differences were also observed between research-oriented and practice-oriented programs, with the latter demonstrating higher success in building interpersonal, strategic and normative competencies. Qualitative questionnaire responses revealed a
Environment, Development and Sustainability, 2012
We attempt to understand, scientifically, how different members of the mining concession, impacte... more We attempt to understand, scientifically, how different members of the mining concession, impacted communities, and government authorities behave when a conflicting situation arises. The main purpose of our effort is to start developing a framework for the scientific modeling of stakeholders' behavior, and we create a reality-driven generic scenario of conflict. We assume that the managers and superintendants of a mining operation currently envision a problem; one that tests the limits of the commitment of the company's mission statement, and of the spectrum of actions taken which are embedded in the ''culture'' of the company's corporate social responsibility. It is an ''event'' that highlights the nature of an overall problem that the company would like to predict and act proactively: the integration of scientific tools, sustainability, and cultural realities within a mining framework. We adapt an agent-based modeling approach and start with a theoretical understanding of certain social behavior, build a model, and simulate ''what if'' scenarios to understand its dynamics to gain a better insight of the complexity of a seemingly simple social system of interest.
Human Aspects of Project Management: Agent-Based Modeling
Lecture Notes in Management and Industrial Engineering, 2020
Renewable Energy
The Oxford Handbook of Energy Politics
Renewable energy has come to hold a significant place in public discourse surrounding the future ... more Renewable energy has come to hold a significant place in public discourse surrounding the future supply of energy worldwide. Defined by their ability to replenish themselves within a reasonable time frame, renewable energy resources are extremely varied, as are the technologies that are used to harness them. Renewable energy encompasses a wide range of fields and disciplines, from physics, chemistry, geology, and engineering to manufacturing, electricity production, and economics. This chapter discusses several key renewable energy resources and technologies, including solar, wind, biomass, geothermal, and hydropower. It provides a simple technical overview of the resources and the mechanisms behind their respective technologies, along with a discussion of the benefits and challenges associated with each resource and technology covered. Finally, it includes a discussion of the state of the industries to help policy makers and political scientists understand the current status—and th...
Adaptation of social license measurement and analysis techniques for geothermal usage and development
An agent-based approach to social license durability
Information Diffusion as a Mechanism for Natural Evolution of Social Networks
Social Simulation for a Digital Society, 2019
The social license to operate is an emergent convergence of opinion, the production and durabilit... more The social license to operate is an emergent convergence of opinion, the production and durability of which is highly interdependent with the structure of the stakeholder network. This structure evolves over time as new links are formed and old links decay. In this paper, we propose a social license model in which agent interactions lead to the evolution of network structures, which are then classified according to observed stakeholder networks.
A Natural Language Processing Approach to Social License Management
Sustainability, 2020
Dealing with the social and political impacts of large complex projects requires monitoring and r... more Dealing with the social and political impacts of large complex projects requires monitoring and responding to concerns from an ever-evolving network of stakeholders. This paper describes the use of text analysis algorithms to identify stakeholders’ concerns across the project life cycle. The social license (SL) concept has been used to monitor the level of social acceptance of a project. That acceptance can be assessed from the texts produced by stakeholders on sources ranging from social media to personal interviews. The same texts also contain information on the substance of stakeholders’ concerns. Until recently, extracting that information necessitated manual coding by humans, which is a method that takes too long to be useful in time-sensitive projects. Using natural language processing algorithms, we designed a program that assesses the SL level and identifies stakeholders’ concerns in a few hours. To validate the program, we compared it to human coding of interview texts from...
Three-Dimensional Discrete Element Modeling of Disc Cutting Applications
Agent-Based Simulation with Data-Driven Parameterization for Evaluation of Social Acceptance of a Geothermal Development
Development of geothermal power plants and local geothermal energy initiatives have lagged due to... more Development of geothermal power plants and local geothermal energy initiatives have lagged due to the social problems such as conflicts with stakeholders such as Onsen (Hot Spa) owners, despite the abundant geothermal resources. Study area was Tsuchiyu Onsen in Fukushima prefecture, Tohoku (Northeast) District, Japan, where the Great East Japan Earthquake and Fukushima Nuclear Accident occurred in 2011, and the reconstruction and local initiatives of geothermal energy were still unclear. Agent-based modeling (ABM) is an effective methodology for modeling and analysis of opinion formation. Parameter estimation method was proposed to extract appropriate parameters from various factors through a Bayesian Network. The characteristics of stakeholders and communities that affected opinion formation in the survey area were successfully extracted. Here we show the sufficient methodology to quantify the characteristics of each person using survey data, and to extract the parameters of the ag...
Agent-Based Simulation with Data-Driven Parameterization for Evaluation of Social Acceptance of a Geothermal Development
Development of geothermal power plants and local geothermal energy initiatives have lagged due to... more Development of geothermal power plants and local geothermal energy initiatives have lagged due to the social problems such as conflicts with stakeholders such as Onsen (Hot Spa) owners, despite the abundant geothermal resources. Study area was Tsuchiyu Onsen in Fukushima prefecture, Tohoku (Northeast) District, Japan, where the Great East Japan Earthquake and Fukushima Nuclear Accident occurred in 2011, and the reconstruction and local initiatives of geothermal energy were still unclear. Agent-based modeling (ABM) is an effective methodology for modeling and analysis of opinion formation. Parameter estimation method was proposed to extract appropriate parameters from various factors through a Bayesian Network. The characteristics of stakeholders and communities that affected opinion formation in the survey area were successfully extracted. Here we show the sufficient methodology to quantify the characteristics of each person using survey data, and to extract the parameters of the ag...
The effect of bidirectional opinion diffusion on social license to operate
Environment, Development and Sustainability, 2016
Three-Dimensional Discrete Element Modeling of Disc Cutting Applications
Scientific Reports, Feb 28, 2022
to the social problems such as conflicts with stakeholders such as Onsen (Hot Spa) owners, despit... more to the social problems such as conflicts with stakeholders such as Onsen (Hot Spa) owners, despite the abundant geothermal resources. Study area was Tsuchiyu Onsen in Fukushima prefecture, Tohoku (Northeast) District, Japan, where the Great East Japan Earthquake and Fukushima Nuclear Accident occurred in 2011, and the reconstruction and local initiatives of geothermal energy were still unclear. Agent-based modeling is an effective methodology for modeling and analysis of opinion formation. Parameter estimation method was proposed to extract appropriate parameters from various factors through a Bayesian Network. The characteristics of stakeholders and communities that affected opinion formation in the survey area were successfully extracted. Here we show the sufficient methodology to quantify the characteristics of each person using survey data, and to extract the parameters of the agent by data-driven inverse analysis. By using this methodology, we could reproduce opinion diversity, which is a property of opinion formation in real communities. This result suggests that the model replicates the actual formation of opinion in Tsuchiyu, where the economy was boosted by the construction of a binary cycle power plant. The March 2011 Great East Japan Earthquake, which had a magnitude of 9.0 and maximum seismic intensity of 7, caused great damage to infrastructure, including the collapse of buildings, and produced a tsunami over 39 m high that struck the Pacific coast of Japan 1 . As a result of the earthquake, 470,000 people were forced to evacuate their homes 2 . Within Fukushima Prefecture, 165,000 people were forced to evacuate and 37,000 of these have yet to return 3 . This fall in population has resulted in a decline in local industry. Tsuchiyu-Onsen town (Tsuchiyu) in Fukushima City has been working on restoring its economy following the earthquake, focusing on a geothermal power project in an area of hot springs. Onsen ('hot spa' in English) are attractive to local people and tourists alike. The physical and reputational damage caused by the Fukushima Daiichi nuclear power plant accident has resulted in a 35% fall in the number of tourists visiting hot springs in the area, compared with the period before the earthquake 4 . Tsuchiyu is no exception to this trend, which has resulted in the closure of 5 of 16 hotels in the town 5 . To address this problem, a local volunteer-led organization that aims to assist the recovery of Tsuchiyu planned a geothermal project, and a 400 kW binary cycle power plant was installed in 2015 6 . A local company operates the power generation business and sells the electricity generated by the geothermal plant using the Feed-in Tariffs (FIT) law 7 , generating ~ 100 million yen per year, some of which is put towards urban development to attract tourists. Although Tsuchiyu represents one of the most successful cases of geothermal development in a Japanese Onsen area, the total capacity of geothermal power plants has been largely unchanged for more than a decade, despite Japan's vast geothermal potential, estimated at ~ 23 GW e 8,9 . This stagnation is due primarily to Japan's reliance on nuclear power, which supplied about 31% of Japan's electricity before the Fukushima Daiichi nuclear
Graph theoretic network mapping of rock fracture networks for mechanism classification using machine learning techniques
Japan Geoscience Union, Mar 14, 2018
Questionnaire and results for "Agent-Based Simulation with Data-Driven Parameterization for Evaluation of Social Acceptance of a Geothermal Development
Questionnaire and results of the social survey for "Agent-Based Simulation with Data-Driven ... more Questionnaire and results of the social survey for "Agent-Based Simulation with Data-Driven Parameterization for Evaluation of Social Acceptance of a Geothermal Development".
Input data and the source code for "Agent-Based Simulation with Data-Driven Parameterization for Evaluation of Social Acceptance of a Geothermal Development
Input data and the source code for "Agent-Based Simulation with Data-Driven Parameterization... more Input data and the source code for "Agent-Based Simulation with Data-Driven Parameterization for Evaluation of Social Acceptance of a Geothermal Development"
Sustainability, 2020
Dealing with the social and political impacts of large complex projects requires monitoring and r... more Dealing with the social and political impacts of large complex projects requires monitoring and responding to concerns from an ever-evolving network of stakeholders. This paper describes the use of text analysis algorithms to identify stakeholders’ concerns across the project life cycle. The social license (SL) concept has been used to monitor the level of social acceptance of a project. That acceptance can be assessed from the texts produced by stakeholders on sources ranging from social media to personal interviews. The same texts also contain information on the substance of stakeholders’ concerns. Until recently, extracting that information necessitated manual coding by humans, which is a method that takes too long to be useful in time-sensitive projects. Using natural language processing algorithms, we designed a program that assesses the SL level and identifies stakeholders’ concerns in a few hours. To validate the program, we compared it to human coding of interview texts from...
Agent-based model coupled with Bayesian estimation for evaluation of social acceptance of geothermal development
Journal of Cleaner Production, 2018
Interest in and understanding of the various competencies that university sustainability and envi... more Interest in and understanding of the various competencies that university sustainability and environmental graduate degree programs should aim for has increased in recent years. Yet empirical efforts that assess the effectiveness of programs from a competency building perspective have visibly lacked-particularly from a macro-perspective examining multiple cases. This study fills this gap in the literature by conducting a novel comparative assessment of different types of master's degrees in a sample of 14 programs from top-performing universities in Europe, Asia and North America. Our study uses quantitative and qualitative approaches to assess the effectiveness of differing types of programs at building key sustainability competencies defined in the literature, and to understand the defining characteristics of programs, innovative competency building approaches, challenges encountered, and potential countermeasures. Using a typological methodology, this study classifies programs into three categories: research-oriented, neutrally-oriented and practice-oriented and then examined the competency building effectiveness of each category through questionnaires administered to faculty (n=40) and students (n = 205). Results revealed low success in all program types at equipping graduates with anticipatory competencies. Statistically significant differences were also observed between research-oriented and practice-oriented programs, with the latter demonstrating higher success in building interpersonal, strategic and normative competencies. Qualitative questionnaire responses revealed a
Environment, Development and Sustainability, 2012
We attempt to understand, scientifically, how different members of the mining concession, impacte... more We attempt to understand, scientifically, how different members of the mining concession, impacted communities, and government authorities behave when a conflicting situation arises. The main purpose of our effort is to start developing a framework for the scientific modeling of stakeholders' behavior, and we create a reality-driven generic scenario of conflict. We assume that the managers and superintendants of a mining operation currently envision a problem; one that tests the limits of the commitment of the company's mission statement, and of the spectrum of actions taken which are embedded in the ''culture'' of the company's corporate social responsibility. It is an ''event'' that highlights the nature of an overall problem that the company would like to predict and act proactively: the integration of scientific tools, sustainability, and cultural realities within a mining framework. We adapt an agent-based modeling approach and start with a theoretical understanding of certain social behavior, build a model, and simulate ''what if'' scenarios to understand its dynamics to gain a better insight of the complexity of a seemingly simple social system of interest.
Human Aspects of Project Management: Agent-Based Modeling
Lecture Notes in Management and Industrial Engineering, 2020
Renewable Energy
The Oxford Handbook of Energy Politics
Renewable energy has come to hold a significant place in public discourse surrounding the future ... more Renewable energy has come to hold a significant place in public discourse surrounding the future supply of energy worldwide. Defined by their ability to replenish themselves within a reasonable time frame, renewable energy resources are extremely varied, as are the technologies that are used to harness them. Renewable energy encompasses a wide range of fields and disciplines, from physics, chemistry, geology, and engineering to manufacturing, electricity production, and economics. This chapter discusses several key renewable energy resources and technologies, including solar, wind, biomass, geothermal, and hydropower. It provides a simple technical overview of the resources and the mechanisms behind their respective technologies, along with a discussion of the benefits and challenges associated with each resource and technology covered. Finally, it includes a discussion of the state of the industries to help policy makers and political scientists understand the current status—and th...
Adaptation of social license measurement and analysis techniques for geothermal usage and development
An agent-based approach to social license durability
Information Diffusion as a Mechanism for Natural Evolution of Social Networks
Social Simulation for a Digital Society, 2019
The social license to operate is an emergent convergence of opinion, the production and durabilit... more The social license to operate is an emergent convergence of opinion, the production and durability of which is highly interdependent with the structure of the stakeholder network. This structure evolves over time as new links are formed and old links decay. In this paper, we propose a social license model in which agent interactions lead to the evolution of network structures, which are then classified according to observed stakeholder networks.
A Natural Language Processing Approach to Social License Management
Sustainability, 2020
Dealing with the social and political impacts of large complex projects requires monitoring and r... more Dealing with the social and political impacts of large complex projects requires monitoring and responding to concerns from an ever-evolving network of stakeholders. This paper describes the use of text analysis algorithms to identify stakeholders’ concerns across the project life cycle. The social license (SL) concept has been used to monitor the level of social acceptance of a project. That acceptance can be assessed from the texts produced by stakeholders on sources ranging from social media to personal interviews. The same texts also contain information on the substance of stakeholders’ concerns. Until recently, extracting that information necessitated manual coding by humans, which is a method that takes too long to be useful in time-sensitive projects. Using natural language processing algorithms, we designed a program that assesses the SL level and identifies stakeholders’ concerns in a few hours. To validate the program, we compared it to human coding of interview texts from...
Three-Dimensional Discrete Element Modeling of Disc Cutting Applications
Agent-Based Simulation with Data-Driven Parameterization for Evaluation of Social Acceptance of a Geothermal Development
Development of geothermal power plants and local geothermal energy initiatives have lagged due to... more Development of geothermal power plants and local geothermal energy initiatives have lagged due to the social problems such as conflicts with stakeholders such as Onsen (Hot Spa) owners, despite the abundant geothermal resources. Study area was Tsuchiyu Onsen in Fukushima prefecture, Tohoku (Northeast) District, Japan, where the Great East Japan Earthquake and Fukushima Nuclear Accident occurred in 2011, and the reconstruction and local initiatives of geothermal energy were still unclear. Agent-based modeling (ABM) is an effective methodology for modeling and analysis of opinion formation. Parameter estimation method was proposed to extract appropriate parameters from various factors through a Bayesian Network. The characteristics of stakeholders and communities that affected opinion formation in the survey area were successfully extracted. Here we show the sufficient methodology to quantify the characteristics of each person using survey data, and to extract the parameters of the ag...
Agent-Based Simulation with Data-Driven Parameterization for Evaluation of Social Acceptance of a Geothermal Development
Development of geothermal power plants and local geothermal energy initiatives have lagged due to... more Development of geothermal power plants and local geothermal energy initiatives have lagged due to the social problems such as conflicts with stakeholders such as Onsen (Hot Spa) owners, despite the abundant geothermal resources. Study area was Tsuchiyu Onsen in Fukushima prefecture, Tohoku (Northeast) District, Japan, where the Great East Japan Earthquake and Fukushima Nuclear Accident occurred in 2011, and the reconstruction and local initiatives of geothermal energy were still unclear. Agent-based modeling (ABM) is an effective methodology for modeling and analysis of opinion formation. Parameter estimation method was proposed to extract appropriate parameters from various factors through a Bayesian Network. The characteristics of stakeholders and communities that affected opinion formation in the survey area were successfully extracted. Here we show the sufficient methodology to quantify the characteristics of each person using survey data, and to extract the parameters of the ag...
The effect of bidirectional opinion diffusion on social license to operate
Environment, Development and Sustainability, 2016