Cooperative and Semi-Cooperative Games

This is part 3 of a six-part series of guest posts by Tomer Perry, Research Associate at the Edmond J. Safra Center for Ethics, Harvard University. He can be contacted at tperry [at] ethics [dot] harvard [dot] edu.

Salen and Zimmerman define the term ‘game’ as follows:

A game is a system in which players engage in an artificial conflict, defined by rules, that results in a measureable outcome.

There is a lot that can be unpacked here but for now let’s focus on the idea of artificial conflict. First, conflict in games is artificial. This doesn’t mean that the conflict in games isn’t real – indeed, they are half-real. Winning a game is a real experience but the conflict between players takes place in a fictional world whose boundaries are clearly separated from reality (using ‘magic circle’ techniques).

Pandemic: save the world or lose (together) trying.

Conflict in games does not mean violence. In games, and specifically in board games, conflict actually requires a great deal of cooperation: players have to agree on the rules, or accept a way to adjudicate them in cases of disagreement or ambiguity.

When we’re thinking of conflict in games, we often think of the individuals competing against each other, as in Chess or Risk. That model can sometimes be useful if you’re trying to simulate a situation where every person is out for themselves, but often I find the model of group vs. system to be more relevant for a classroom environment. The recent renaissance of board games is driven to a great extent by cooperative games, where people play collectively against the game, winning or losing together. For example, in Pandemic, players take roles such as medic, scientist and dispatcher in a heroic attempt to save the world from four contagious diseases. Continue reading

Teaching Trump Through a Human Rights Lens

This is  guest post from Dr. Lindsey Kingston, an associate professor of human rights at Webster University.  It was originally published  at the Websteropolis blog and is reposted on ALPS with her permission .  It is part of our Teaching Trump series, and the other posts can be found here: Part 1, Part 2, Part 3, and Part 4.

The political campaign and subsequent election of Donald Trump as president of the United States raises important questions about neutrality in university classrooms. Across disciplines, but particularly within the realms of international relations and political science, my colleagues struggle to identify fair and ethical approaches for “teaching Trump”. Yet as a human rights professor, the need to offer a critical perspective on current events has taken on a new, incredible sense of urgency.

Dr. Lindsey Kingston

My perspective on politics – one viewed through a “human rights lens,” if you will – requires me to assess U.S. domestic and foreign policies with an eye toward human rights frameworks such as the Universal Declaration of Human Rights (UDHR) and various binding instruments of international law. These rights are universal (meaning they belong to everyone, by virtue of being human) and are inalienable (meaning nothing you can do or say can strip you of your rights). The U.S. Constitution comes second to these principles, although it’s noteworthy that the Bill of Rights reinforces fundamental guarantees to justice, as well as freedoms of speech, assembly, and religion.

Continue reading

The Golden Rule and the Magic Circle

This is part 2 of a six-part series of guest posts by Tomer Perry, Research Associate at the Edmond J. Safra Center for Ethics, Harvard University. He can be contacted at tperry [at] ethics [dot] harvard [dot] edu.

To skirt theoretical controversies and avoid convoluted technicalities, I define game mechanics broadly to cover any game elements that designers use to shape gameplay. Mechanics are ‘tricks of the trade’ – concepts, ideas, principles – ways to organize a game’s rules and players’ interactions to achieve a compelling, engaging and fun experience.

Lancaster: bigger knights can take smaller knights.

The first and most important concept in designing games and learning activities – the golden rule of game design – is that you want to match the theme with the mechanics. Whatever you have students do as part of their assignment must make sense in terms of the world the assignment is supposed to emulate. The general idea is that actions students make in the classroom have to make sense in the fictional world your exercise creates. For example, in the board game Lancaster players take turns placing cubes on the board to gain resources. This is typical of a certain genre of games, called worker placement, a famous example of which is a game about farming called Agricola. There is a difference between the two games. In Agricola, when a player places a cube on the spot that produces wheat, no one else can get wheat that turn. This rule makes sense for farming – if someone bought all the wheat in the market, you don’t get any wheat for a while. But in Lancaster, the cubes are knights, and they come in different sizes (marked by numbers) – a knight of size 3 can push over any knight of smaller size, taking their spot at the castle. This simple rule change makes sense because we know knights will push each other while farmers won’t. The rules (‘you can/can’t push people out of spots on the board’) match the story superimposed by the game. Continue reading

From Tabletop Games to the Classroom

Today we have the first in a six-part series of guest posts by Tomer Perry, Research Associate at the Edmond J. Safra Center for Ethics, Harvard University. He can be contacted at tperry [at] ethics [dot] harvard [dot] edu.

One of the projects I’m working on at the Edmond J. Safra Center for Ethics focuses on effective pedagogies for teaching ethics. Simulations, of the kind that readers of this blog are familiar with, are one way of engaging students by grounding abstract ethical theories in particular situations. Recently, I’ve reframed the project more generally: using game design principles to create fun and effective learning experiences.

Two books on game design that I can recommend for teachers are Josh Lerner’s Making Democracy Fun and James Paul Gee’s What Video Games Have To Teach Us About Learning and Literacy. Lerner argues that game design principles can be used to redesign political institutions and reinvigorate democracy, but his review of game design theory is useful for anyone interesting in implementing game design ideas in different contexts, and I use his taxonomy of game mechanics as a starting point. Continue reading

Teaching Trump 3

Today we have a third installment in a spontaneous series on teaching political science in the time of Trump, written by William R. Wilkerson, Professor of American Government and Politics at SUNY-Oneonta. Previous posts in this series are here and here.

I too have struggled. My focus so far has been to spend more class time on two things: 1) the founding and how it informs what is happening in American politics today, and 2) on what political science, and social science generally, can tell my students about the rise of President Trump. I agree that neutrality is important. I need to be able to potentially reach all my students, regardless of their position on issues or their party affiliation. Three syllabi that helped guide my teaching this semester:

I also found the following blog posts, mostly by political scientists, particularly useful in putting together readings for students on various topics: Continue reading

The Social Security Game

Today we have a guest post from Tyler Chance, a doctoral student and instructor at University of Missouri-St. Louis. He can be reached at  trc6df [at] mail [dot] umsl [dot] edu.

social-security-cardsSocial Security and its financial problems is one important policy issue that is probably not on the minds of most U.S. college students. The Social Security Game ( ), created by the American Academy of Actuaries, is a fun activity that I use to teach my students about policy choices. The game’s goal is simple: fix Social Security so that Americans can receive retiree benefits after the year 2034. You can choose to reduce benefits, increase revenues, or apply a combination of both.  The game provides quick videos that explain the different viewpoints behind each policy alternative. After each decision you make the game uses estimates from the Social Security Office of the Chief Actuary to calculate how close you are to fixing the problem.

I like to use the game in my Introduction to American Government course, as well as in my Congressional Politics course, but it has wider applications. When I teach Introduction to American Government, the game demonstrates why paying attention to this policy issue is important and how it can be messy and hard to fix. I first have the class vote on whether we should reduce benefits or increase revenues. From there we vote on subcategories; for instance, if we voted to reduce benefits, we would then need to choose from a range of options provided by the game, such as increasing the full retirement age, reducing Cost-of-Living-Adjustments, and lowering benefits for future high-income retirees. A class in which students have diverse political ideologies quickly illustrates just how complicated the Social Security reform can become.

When I teach Congressional Politics, the game functions as a mock legislature. In this project, I play the role of a newly-elected president acting on a mandate to reform Social Security. I assign each student a specific legislator and have them research their stance on the issue and the demographics of their constituency (or you can provide students with that information on index cards).  I then encourage the students to work through the game with their constituencies in my mind.  So far, solving the problem of Social Security has been close to impossible for my classes, which allows me to show institutionalized gridlock and constituent-based constraints in practice.

The game can also be effective as an individual homework assignment. Have the students play the game and share experiences. Were they able to solve the problem? What route did they take—benefit reductions, increased revenues, or a mix of the two? Why did they choose a particular strategy?

Conceptual Understanding Through Experiments

Today we have a guest post from Jonathan Rauh, a doctoral student in political science at East Carolina University. 

atomic-experimentActive engagement of the student is a key facet of experiential learning. In-class debate is one classic means of generating engagement, but it can favor students who are more extroverted. In-class debate also tends to be relatively light on the application of concepts but heavy on critical reflection. As an alternative, I have used in-class experiments derived from economics to teach how policy preferences are realized (or not) as a result of different voting systems.

In these experiments, I begin with a discussion in which I ask students about their own policy positions on issues like gun control, abortion, tax policy, school vouchers, universal healthcare, and the death penalty. This allows for discussion of political representation in different forms of government, which then leads into experiments where students are assigned a set of preferences ranging from, for example, far right to far left, and are subjected to a set of voting rules. This type of environment makes it easy to illustrate differences between voting systems, such as first-past-the-post and rank order preference.

If one has taken a course in experimental economics then one knows it is fairly common to have small monetary payoffs—for example, $10. These real monetary consequences lead students to quickly identify which voting strategies will best increase their chances of winning in the experiment.

I have found that the applied nature of the experiments provides a way for students to engage with theories that would otherwise just be abstract discussion points. Students whose personalities make them less inclined to debate are more engaged because their votes do not require explicit public statements. They are able to understand that one strategy is preferable to another and make adjustments in each round of voting without being singled out. Students who participate in my voting games show better test scores at the end of the year and, according to colleagues, have a good understanding of policy preferences and the complex interactions between competing political parties.

For a full discussion of implementing an in-class voting experiment see:

Rauh, Jonathan. 2014. “In-Class Experiments as an Accompaniment to In-Class Discussion.” Journal of Political Science Education 10(4): 453-470.

For a full discussion of experimental economics games that can be applied in your class to teach about topics ranging from preference recognition to lobbying to voting, see Charles Holt’s VeconLab at the University of Virginia: