“Preparing for (and Actually Enjoying) An Academic Conference” hosted by Dr. Myles Williamson
Attending an academic conference for the first time can feel overwhelming, especially when you are presenting your own work! This Methods Café session will provide practical guidance for graduate students on how to prepare for and get the most out of academic conferences. We will discuss strategies for applying to conferences, preparing presentations, navigating conference schedules, networking effectively, and avoiding common pitfalls. The session will be especially helpful for students attending the upcoming ASPA Annual Conference, but the advice will apply to conferences across disciplines. Whether you are presenting, attending panels, or simply trying to figure out how conferences work, this session will offer practical tips to help you approach conferences with confidence!
We are actively soliciting proposals for research presentations and skill-building sessions on specific topics, tools, or methodological approaches for Spring 2026 events. Whether you want to share your own work or help teach a new skill, this is your chance to get involved! Please submit all proposals to mwilliamson@ubalt.edu
Previous Events Fall 2025- Spring2026
Many important questions in political science depend on human-coded data, where researchers systematically turn qualitative information into quantifiable data. In this session, Dr. Edgell will share practical tips for creating and documenting datasets that are transparent, traceable, and easy to understand. Drawing on recent innovations and her experience tracking state responses to the COVID-19 pandemic, she’ll share different tools and tips that can help improve dataset quality. Come learn strategies for evaluating and producing accessible, high-quality human-coded data.
Participant observation, first developed in anthropology, is a method where researchers take part in the everyday lives and activities of a community while also carefully observing and recording those experiences. This dual role of participating and observing generates rich, deep insights that participants themselves may not articulate in interviews or surveys alone. Trained as an ethnographic researcher, Dr. Clay-Robison will introduce participant observation as a cornerstone of qualitative research and explore practical strategies for planning and recording observations, discuss the ethical complexities of this method, and consider how reflexivity shapes findings.
As a trained focus group moderator, Dr. Znamirowski will host a session introducing the fundamentals of focus group methodology, including participant recruitment, question design, facilitation techniques, and basic approaches to analysis. This session will be ideal for students and faculty planning qualitative data collection or stakeholder engagement.
"Graphical Causal Models" hosted by Dr. Ed Gibson
Structural causal modeling is a system for capturing cause-and-effect reasoning. The foundation for this modeling relies on a graphical format to encode dependencies (and independence) among variables through directed acyclic graphs (DAGs). After originating in computer science to support machine learning and artificial intelligence (AI), DAGs found application in epidemiology and social science. Structural causal modeling's originator, Judea Pearl, has continued to push for incorporation of causal reasoning into AI systems so that they can progress beyond the largely associational reasoning that limits their capacity to tackle categories of problems at the current time. Pearl maintains that truly human-like intelligence involves not only associations but also interventions and counterfactuals.
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