Prospective Student Webinar Series
Want to learn more about the research in our program? Interested in getting an inside look at how to conduct graduate level research, statistical analysis, and the use of statistical software? Watch our videos below, hosted by current graduate students, to learn more.
- The Origins of Military Involvement in the Economy
- Software or Statistics and Data Science (STATA)
Tune in for an engaging lecture with Roya Izadi, a Binghamton University political science doctoral candidate, as she shares her dissertation on military involvement in the economy. Roya will present on how military involvement in the economy is a surprisingly common phenomenon and has consequences for both politics and the economy.
She will share discoveries that lead her to believe that there is limited academic knowledge on this topic due to the absence of a comprehensive cross-national dataset on the role and level of military involvement in economies. Using Software for Statistics and Data Science (STATA) data, Roya will share the origins of military involvement in the economy.
- Analyzing Varying Levels of Apportionment in the U.S. through Computer Simulations
- Mapping in R
For the past decade, political scientists at Binghamton University have researched gerrymandering and produced various publications on the topic. In this 1-hour webinar, doctoral candidate Matthew Walz will share how he uses the Magleby-Mosesson algorithm developed by Binghamton professor Daniel Magleby and Daniel Mosesson (a graduate of the Computer Science program) to hypothesize the changing levels of apportionment in the U.S. and the affect different levels could have on polarization. Matthew will share findings of his current working paper and show viewers how he and fellow researchers generated thousands of maps in R, a programming language for statistical computing and graphics, to display varying levels of apportionment and further examine the tools available to analyze these maps.
- Rebel Capability, Intra-Rebel Competition, and the Use of Violence Against Aid Workers: Evidence from the Democratic Republic of the Congo
- Strategies for Data Collection to Overcome Data Limitation
Political Science doctoral candidate, Esol Cho recently won the 2019 Richard I. Hofferbert Best Paper Award for her working paper: Rebel Capability, Intra-Rebel Competition and the Use of Violence on Aid Workers: Evidence from DR Congo. During this webinar, Esol will share her created dataset used support her argument that a certain rebel group’s capability and extreme intra-rebel competition are the key elements in determining the strategy of each group using violence against aid workers. Webinar viewers will also learn how to overcome the issue of data limitation, which is common in many studies.
Mert Can Bayar
- Essentializing Politics: Partisan Essentialism as a Predictor of Political Conspiracy Beliefs
- Experimental Design
In this webinar, political science doctoral candidate Mert Can Bayar will talk about conspiracy beliefs, particularly focusing on modern-day political conspiracies. This presentation will share research and survey data findings on why some people believe in these theories whereas others do not. Viewers will be introduced to two complementary arguments: one on individual differences and the second on the motivated reasoning. Mert will also discuss three experimental designs that will help viewers better understand the causal mechanism.
- How to Guide for Field Research
Do you have questions about how to successfully prepare for field research? Doctoral candidate Andrew Bennett has insights to share and how to make the most of the experience. Andrew will educate webinar viewers on how to coordinate and conduct interviews, secure funding and complete important documents. He will also discuss some challenges that may arise and how you can be best prepared.
- Introduction to R
Binghamton University doctoral candidate, Huei-Jyun Ye will deliver an introduction to the powerful programming tool, R. R offers researchers the ability to produce comprehensive data analytic packages. Huei-Jyun looks forward to showing viewers how to explore data, create graphs and other basic functions of the program, along with an introduction to the RStudio interface.