In person icon Data-Driven Politics: The Intersection of Political Methodology and Emerging Technologies

Abstract

This panel, under the section of Political Methodology, seeks to explore how emerging technologies, particularly data analytics, machine learning, and artificial intelligence (AI), are reshaping political science research and practice. By examining the methodological, ethical, and practical dimensions of these advancements, the panel aims to shed light on the transformative potential and challenges of integrating innovative technologies in political analysis and governance. The panel will feature experts from political science, data science, and public policy who will address the following core themes: The panel will focus on innovations in political methodology and on cutting-edge tools and techniques enabled by Big Data and AI, exploring how new data sources—such as social media, satellite imagery, and crowdsourced information—are applied in political research. They will examine the impacts of these advancements on predictive modeling, sentiment analysis, and policy evaluation, offering insights into how they expand the methodological toolkit of political scientists. The panel will also delve into bridging theory and data, exploring how emerging evidence and technologies can refine or challenge existing political theories. This segment will include case studies that highlight the integration of innovative methodologies to resolve longstanding theoretical debates in political science, showcasing the synergy between empirical advancements and theoretical developments. Ethics, privacy, and inclusivity will be central to the conversation, addressing the ethical dilemmas posed by Big Data and AI, including issues of consent, bias, and inclusivity. Panelists may present and discuss strategies for addressing disparities in data accessibility and representation across regions and demographics, while offering insights into building ethical frameworks and practices for data collection and analysis. This theme will emphasize the importance of responsible research practices in the digital age. The nexus between policy and research will also be a key focus. Panelists are expected to explore how political researchers and practitioners can collaborate to address real-world challenges using data-driven insights. The role of AI in contemporary governance will be examined, including its potential to enhance decision-making processes and the risks associated with algorithmic biases and accountability issues. Finally, the panel will explore future challenges and opportunities, identifying gaps in current political methodology and forecasting the role of AI and technology in future research. Discussions will address the limitations and risks associated with Big Data, such as misinformation, data overload, and systemic biases, while proposing solutions to overcome these challenges. The panel will speculate on how technological innovations might further shape the future of political science and governance. Objectives: The panel aims to provide a platform for interdisciplinary dialogue, fostering collaboration between political scientists, data technologists, and policymakers. It seeks to highlight practical applications of emerging technologies in governance and public policy while equipping participants with new insights and strategies to navigate the challenges posed by data-driven political analysis. Welcomed Key Areas for Proposed Abstracts: • Empirical studies using novel data sources to analyze political behavior and institutions. • Case studies demonstrating the application of AI in political forecasting, governance, or campaign strategy. • Contributions on developing ethical standards for AI in public policy research. • Comparative analyses of AI adoption in governance across different political systems. • Explorations of AI’s impact on transparency, accountability, and democratic practices. This panel promises to foster an engaging discussion on the evolving role of technology in the realm of political science and governance, creating pathways for more inclusive, innovative, and ethical applications in the field.

Title	Details
OpenAI and Python Driven Tripple D - Developing a Database from Qualitative Data in Political Science: A Case Study of Migrant Motivations	View Paper Details
Raising Awareness and Advocating for Ethical AI in Governance: Insights from Political Methodology and Workshop Design	View Paper Details
Advancing Multilingual Insights and Cross-Border Policies Based on Entity-Level Sentiment Analysis	View Paper Details
Testing AI Tools in Public Governance: First Reflections of the AI4Gov Case Study	View Paper Details
Critical Factors of Self-Assessment Tools for Public Services Using AI in an Ethical and Trustworthy Manner.	View Paper Details