About this Research Topic
Overview
The rise of the internet era and the overwhelming impact of the social media, social networks, and the growing relevance of the artificial intelligence for human society have represented a huge challenge for political science research methodologies.
During the past half century (or more), many political science areas have strongly benefited in the performances and quality of their research outcomes from the advanced methodologies based on the sciences and technologies of the artificial, like Artificial Intelligence, Machine Learning, Alife, Agent-Based Modelling and Simulation, Complex Adaptive Systems, Collective Adaptive Systems, Data Mining, Text Analysis, Content Analysis, Discourse Analysis, and the list is far from being complete.
Political science research has been employing such sophisticated research methodologies in many subfields, like political preferences and voting, voting behavior and political attitudes, partisanship, party loyalty, party ideology, policy, governance, political parties, populism-extremism-xenophobia phenomena, political power, political trust, political legitimacy, political communication, political discourse, electoral campaigns, political extremism and terrorism, political conflict, polity formation, to name but few.
Political Science research methodologies are facing now not only the challenge of using all these advanced technologies, but also the ethics of using them, the consequences for human mind, action, and culture, and for the future of human social and political organization.
Goals
One of the main goals in selecting this Research Topic is to achieve a state-of-the-art in Political Science disciplinary area as a direct effect of the enhanced support from the research methodologies based on the technologies of the artificial.
A second goal would be to understand whether the research methodologies based on the sciences and technologies of the artificial have provided for a change in Political Science in terms of its capacity to generate new theory and new methodology?
A final goal would be to see if the research methodologies based on the artificial have provided for the emergence of new disciplinary areas within the domain of Political Science since such phenomena have already changed the landscape of social sciences as new disciplines emerged during the past two or three decades, like Social Simulation, Computational Sociology, Computational Social Science.
Information for Authors
This Call for Participation welcomes approaches which answer relevant research questions, like:
• What new research methodology has been defined by means of interdisciplinary approaches in political science which are based on AI, ML, and other advanced technologies of the artificial? Are there new ontologies, new epistemologies to acknowledge and defend? Would the Metaverse have any connection with the theoretical and methodological advance in Political Science, and how?
• What new disciplinary area could be defined by taking into consideration the joint approach in political science and the sciences of the artificial?
• What new (classes of) applications in political science have been relevant at societal and governance level from employing the sciences of the artificial in the political science research methodologies? Do they have a practical effect on day-to-day political expression, and collective perception of politics? Do these offer ways of empowering people?
Authors are welcome to submit papers which address issues of political science research methodologies, as well as reflections in philosophy of science, and approaches in any subfield of political science and political methodology with a special focus, however not limited to-, interdisciplinary approaches based on Artificial Intelligence, Machine Learning, Alife, Agent-based Modelling and Simulation, Big Data, Data Mining.
The rise of the internet era and the overwhelming impact of the social media, social networks, and the growing relevance of the artificial intelligence for human society have represented a huge challenge for political science research methodologies.
During the past half century (or more), many political science areas have strongly benefited in the performances and quality of their research outcomes from the advanced methodologies based on the sciences and technologies of the artificial, like Artificial Intelligence, Machine Learning, Alife, Agent-Based Modelling and Simulation, Complex Adaptive Systems, Collective Adaptive Systems, Data Mining, Text Analysis, Content Analysis, Discourse Analysis, and the list is far from being complete.
Political science research has been employing such sophisticated research methodologies in many subfields, like political preferences and voting, voting behavior and political attitudes, partisanship, party loyalty, party ideology, policy, governance, political parties, populism-extremism-xenophobia phenomena, political power, political trust, political legitimacy, political communication, political discourse, electoral campaigns, political extremism and terrorism, political conflict, polity formation, to name but few.
Political Science research methodologies are facing now not only the challenge of using all these advanced technologies, but also the ethics of using them, the consequences for human mind, action, and culture, and for the future of human social and political organization.
Goals
One of the main goals in selecting this Research Topic is to achieve a state-of-the-art in Political Science disciplinary area as a direct effect of the enhanced support from the research methodologies based on the technologies of the artificial.
A second goal would be to understand whether the research methodologies based on the sciences and technologies of the artificial have provided for a change in Political Science in terms of its capacity to generate new theory and new methodology?
A final goal would be to see if the research methodologies based on the artificial have provided for the emergence of new disciplinary areas within the domain of Political Science since such phenomena have already changed the landscape of social sciences as new disciplines emerged during the past two or three decades, like Social Simulation, Computational Sociology, Computational Social Science.
Information for Authors
This Call for Participation welcomes approaches which answer relevant research questions, like:
• What new research methodology has been defined by means of interdisciplinary approaches in political science which are based on AI, ML, and other advanced technologies of the artificial? Are there new ontologies, new epistemologies to acknowledge and defend? Would the Metaverse have any connection with the theoretical and methodological advance in Political Science, and how?
• What new disciplinary area could be defined by taking into consideration the joint approach in political science and the sciences of the artificial?
• What new (classes of) applications in political science have been relevant at societal and governance level from employing the sciences of the artificial in the political science research methodologies? Do they have a practical effect on day-to-day political expression, and collective perception of politics? Do these offer ways of empowering people?
Authors are welcome to submit papers which address issues of political science research methodologies, as well as reflections in philosophy of science, and approaches in any subfield of political science and political methodology with a special focus, however not limited to-, interdisciplinary approaches based on Artificial Intelligence, Machine Learning, Alife, Agent-based Modelling and Simulation, Big Data, Data Mining.
Keywords: Political Science, Artificial Intelligence, Machine Learning, Modelling and Simulation, Complexity
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
