Andrew Philips

Synthesize This: Meta-Analysis as a Dissertation Tool

Avery Lord — Thu, 18 Jun 2026 14:12:11 +0000

Synthesize This: Meta-Analysis as a Dissertation Tool Avery Lord Thu, 06/18/2026 - 08:12

Synthesize This: Meta-Analysis as a Dissertation Tool

By: Christopher Jackson, Andrew Q Philips

Abstract:

Meta-analyses are used to synthesize a body of literature to produce a single summary estimate as well as to explain differences among studies. The field of political science has slowly gained an appreciation for their use in recent years; however, using meta-analyses in dissertations remains rare. This is puzzling, given the tool ability to map a topic, to highlight potential gaps for future research to address, and its long-lasting utility for researchers in future projects. We argue that for these and several other reasons, graduate students should consider including a meta-analysis in their dissertation. This article discusses these advantages in detail and offers advice on how to conduct a meta-analysis based on several interviews and applied examples. We also address potential challenges when using this research design in a dissertation.

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Using AI to DIY? Incorporating AI-Generated Learning Tools in the Classroom

Avery Lord — Thu, 18 Jun 2026 14:00:33 +0000

Using AI to DIY? Incorporating AI-Generated Learning Tools in the Classroom Avery Lord Thu, 06/18/2026 - 08:00

Using AI to DIY? Incorporating AI-Generated Learning Tools in the Classroom

By: Christopher Jackson, Andrew Q Philips

Abstract:

Generative artificial intelligence has changed the classroom experience, for better and worse. We contend that instructors can leverage GAI to assist them in quickly creating and implementing classroom-based simulation activities and demonstrations. We use applied political science teaching examples ranging from theory to methodology to help demonstrate our point that GAI can greatly decrease the time and programming costs of creating good classroom learning tools.

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Meet Andrew Philips

Anonymous — Wed, 15 Nov 2017 16:13:47 +0000

Meet Andrew Philips Anonymous (not verified) Wed, 11/15/2017 - 09:13

Madeline Chandler

Assistant Professor

Professor Andrew Philips arrived at the University of Colorado this semester – making him the newest addition to the Department of Political Science.

“I chose this department because everyone was working on interesting projects and there was an emphasis on political economy, which is the substantive topic that I focus on” he said.

For Philips, being a professor was an idea that was ingrained in his mind from an early age. “I have always been addicted to new information and new ways of thinking.”

Philips has been dedicated to learning in every stage of his life. “In high school, I was the kid who borrowed books from the physics teacher. In college, I always read the "suggested readings", and would email the professor with news articles relevant to the topic we were studying. Today, I listen to the audio edition of the Economist every week when I run.”

In undergrad, Philips’ attraction to knowledge meant that he had many interests before he settled on political science. “I started off in engineering, which I liked, but I also enjoyed economics and history. After a while I wanted to change majors, so I sat in on a political science class taught by a well-known professor,” he said, “I was hooked.”

It was after taking multiple classes in political science that he decided to go to graduate school. “I knew I wanted to peruse a Ph.D in political science when we started to read actual quantitative articles done by scholars in a Senior undergraduate seminar.”

Now that Philips has a Ph D, he has continued to concentrate on political science methodology. “My research involves creating new methods or applying existing ones to problems that political scientists care about.”

“Substantively, I am interested in a number of topics, such as the manipulation of budgets before elections in order to win re-election, how and when governments decide to re-allocate their budgets, and the factors that affect inequality across multiple income groups.”

Working in academia is attractive to Philips because “as a professor, you don’t really have a boss and there are very few other fields where you have this amount of freedom.”

Along with the independence that comes with being a professor, Philips finds it “fun to teach students, especially when they take in the material and it is extremely rewarding to see your name on papers and books.”

His favorite class to teach so far is PSCI 7155: Maximum Likelihood. “It is a graduate class with a great group of students. They are learning and I am learning.”

Philips wants to encourage students “to constantly expose themselves to new ideas, whether that is reading fiction or non-fiction, listening to a new podcast, or exploring "long-read" news articles at places like the Atlantic or Medium.com.”

According to Philips, “it is the best way to get new ideas about topics that interest you, and may even change the way you think about a particular topic.”

Philips emphasizes that “this is especially relevant today, when too few of us are willing to step outside our pre-conceived notions about things.”

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Have Your Cake and Eat It Too? Cointegration and Dynamic Inference from Autoregressive Distributed Lag Models

Anonymous — Tue, 19 Sep 2017 21:09:36 +0000

Have Your Cake and Eat It Too? Cointegration and Dynamic Inference from Autoregressive Distributed Lag Models Anonymous (not verified) Tue, 09/19/2017 - 15:09

Abstract:

Although recent articles have stressed the importance of testing for unit roots and cointegration in time-series analysis, practitioners have been left without a straightforward procedure to implement this advice. I propose using the autoregressive distributed lag model and bounds cointegration test as an approach to dealingwith some of themost commonly encountered issues in time-series analysis. Through Monte Carlo experiments, I show that this procedure performs better than existing cointegration tests under a variety of situations. I illustrate how to implement this strategy with two step-bystep replication examples. To further aid users, I have designed software programs in order to test and dynamically model the results from this approach.

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The effects of immigration and integration on European budgetary trade-offs

Anonymous — Tue, 19 Sep 2017 20:37:58 +0000

The effects of immigration and integration on European budgetary trade-offs Anonymous (not verified) Tue, 09/19/2017 - 14:37

Abstract:

What affects government policy-making continues to be an important question for researchers interested in political competition and policy priorities. In this contribution, we bring together a theoretical framework that focuses on the influence of globalizing forces on government policy decisions with a methodological emphasis on explaining dynamic budgetary trade-offs. While comparative public policy and budgetary scholars typically have focused on entire budgets or amounts spent on specific policies, we look at the political priorities embedded in budgets by modeling the budget as a pie. Then, we theorize about how governments respond to external shocks by altering the allocations to the various policy areas. Using this approach, we find that governments of different ideological types react to external shocks by altering their different policy priorities.

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