The 2025 Research Methods Division-CARMA Doctoral Student and Junior Faculty Consortium offers a virtual, real-time, and interactive opportunity designed for participants to engage with leading scholars and methodologists whether qualitative or quantitative, macro or micro.
The consortium features two plenary panels where accomplished scholars share their expertise and advice on designing and publishing research with advanced methods. In addition, participants will have the opportunity to engage deeply with specialized methodological areas through two interactive breakout sessions. These sessions are designed to provide hands-on experiences and stimulate discussion on specific research methods, guided by expert methodologists. For each breakout session, participants will select and join two methods topics they are interested in, enabling them to explore a diverse range of methodologies and enhance their skills in those methods.
This year, we are excited to offer additional sessions about (a) a variety of qualitative research methods and (b) different types of machine learning tools and methods. Furthermore, there will be extra opportunities for participants to interact with each other and with RM division leaders, and to form peer networks.
If you would like to participate, please register by Wednesday, 28 May. If you are a graduate student, you will be asked to provide the name and email address of a faculty advisor or mentor who supports your application.
If you have any questions about the consortium, email the Consortium Chair.
Xavier Martin (Tilburg University)
Cindy Maupin (University of Mississippi)
Co-Organizers
RMD-CARMA Doctoral Student and Junior Faculty Consortium Schedule 2025
Times indicated are EDT (US East Coast time zone)
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Day and Time (EDT)
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Topic
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Wednesday, June 4
10 am-11:30 am
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Introduction to the consortium and
Designing and managing your dissertation or large research project
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Don Bergh (University of Denver)
Semin Park (Pennsylvania State University)
Valentina Mele (Bocconi University)
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Wednesday, June 11
10 am-noon
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Breakout roundtables with method specialists #1
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Grounded Theory with Kevin Corley (Imperial College London)
Ethnography with Stine Grodal (Northeastern University)
Replication with Jost Sieweke (Vrije Universiteit Amsterdam)
Network Analysis with Ning Li (Tsinghua University)
Cross-Level and Multilevel Analysis with Rory Eckardt (SUNY Binghamton )
Bayesian Method with Jeff Dotson (Ohio State University)
Endogeneity with Hyunjung (Elle) Yoon (Iowa State University)
Panel Data with Hyun-Soo Woo (University of Mississippi)
Machine Learning with Ivan Hernandez (Virginia Tech)
Followed by small-group "meet and greet" among participants and RM division leaders and volunteers.
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Wednesday, June 18
10 am-noon
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Breakout roundtables with method specialists #2
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Case Studies with Davide Ravasi (University College London)
Experience Sampling Methods with Nitya Chawla (University of Minnesota)
Experimental Methods with Matthew Josefy (Indiana University)
Computer Simulation with Maciej Workiewicz (ESSEC)
Difference-in-Differences and Related Identification Solutions with Evan Starr (University of Maryland)
Regression Discontinuity Design with Leandro Pongeluppe (University of Pennsylvania)
Set-Analytic (QCA) Methods with Peer Fiss (University of Southern California)
Natural Language Processing with Feng Guo (University of Tennessee at Chattanooga)
Large Language Models with Andrew Delios (National University of Singapore)
Followed by an opportunity to form peer networks.
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Wednesday, June 25
10 am-11:30 am
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Publishing with and about methods: Advice from leading scholars
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Giuseppe La Bianca (University of Massachusetts Amherst)
Myles Shaver (University of Minnesota)
Catherine Welch (Trinity College Dublin)
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Xavier Martin
Tilburg University
Netherlands
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