Kyle Bahr | Colorado School of Mines (original) (raw)

Papers by Kyle Bahr

Scientific Reports, Feb 28, 2022

Japan Geoscience Union, Mar 14, 2018

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... 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...

Journal of Cleaner Production, 2018

Environment, Development and Sustainability, 2012

Lecture Notes in Management and Industrial Engineering, 2020

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...

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.

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...

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...

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...

Scientific Reports, Feb 28, 2022

Japan Geoscience Union, Mar 14, 2018

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... 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...

Journal of Cleaner Production, 2018

Environment, Development and Sustainability, 2012

Lecture Notes in Management and Industrial Engineering, 2020

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...

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.

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...

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...

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...