This page contains link to the lectures I give throughout the semester. Clicking the title of the week’s lecture will go to a PDF, embedded in the user’s browser, by default. The bottom right icons link to the Github directory for the lecture (), the R Markdown document for the lecture (), and a PDF, embedded on Github, for the lecture ().
Syllabus Day (i.e. Welcome)
tl;dr: This lecture discusses the syllabus and outlines course expectations for the rest of the semester.
The Scientific Study of War
tl;dr: Science is a method, not a collection of facts. We seek to generalize, not explain specific events. Predictions are 'consistent' and not 'true.' All models are wrong; some are useful.
'Dangerous Dyads' and an Introduction to Applied Research
tl;dr: Bremer's (1992) 'dangerous dyads' served as a foundation statistical model for evaluating conflict onset. Also: here's how to read a research design section and regression table.
Defining Conflicts and Disputes
tl;dr: Conflict is an interconnected process and MIDs are our ubiquitous measure of conflict in peace science.
States, War, and Conflict Patterns
tl;dr: This graph-heavy lecture defines states and wars and explores the data we have on wars and MIDs.
Thinking Rationally and Strategically
tl;dr: Rational decision-makers encounter strategic problems in IR. Here's how to think about that.
War as Bargaining
tl;dr: War is bargaining failure. Here's how to model it, and why it happens.
Identifying Opportunity for Conflict
tl;dr: Rethinking the contiguity-conflict relationship as more of an opportunity/'necessity' argument.
tl;dr: Most wars are fought over territory and contiguity is just a rough proxy for that.