• Public Health Publications

    4 maps of relative excess mortality in US

    Eugenio Paglino, Dielle J. Lundberg, Zhenwei Zhou, Joe A. Wasserman, Rafeya Raquib, Anneliese N. Luck, Katherine Hempstead, Jacob Bor, Samuel H. Preston, Irma T. Elo, Andrew C. Stokes

    Abstract: Excess mortality is the difference between expected and observed mortality in a given period and has emergedas a leading measure of the COVID-19 pandemic’s mortality impact. Spatially and temporally granular estimates of excess mortality are needed to understand which areas have been most impacted by the pandemic, evaluate exacerbating factors, and inform response efforts. We estimated all-cause excess mortality for the United States from March 2020 through February 2022 by county and month using a Bayesian hierarchical model trained on
    data from 2015 to 2019. An estimated 1,179,024 excess deaths occurred during the first 2 years of the pandemic (first: 634,830; second: 544,194). Overall, excess mortality decreased in large metropolitan counties but increased in nonmetropolitan counties. Despite the initial concentration of mortality in large metropolitan Northeastern counties, nonmetropolitan Southern counties had the highest cumulative relative excess mortality by July 2021. These results highlight the need for investments in rural health as the pandemic’s rural impact grows.

    Maps of the ratio of excess natural-cause deaths to COVID-19 deaths in the US

    Eugenio Paglino, Dielle J. Lundberg, Elizabeth Wrigley-Field, Zhenwei Zhou, Joe A. Wasserman, Rafeya Raquib, Yea-Hung Chen, Katherine Hempstead, Samuel H. Preston, Irma T. Elo, M. Maria Glymour, and Andrew C. Stokes

    Abstract: In the United States, estimates of excess deaths attributable to the COVID-19 pandemic have consistently surpassed reported COVID-19 death counts. Excess deaths reported to non-COVID-19 natural causes may represent unrecognized COVID-19 deaths, deaths caused by pandemic health care interruptions, and/or deaths from the pandemic’s socioeconomic impacts. The geographic and temporal distribution of these deaths may help to evaluate which explanation is most plausible. We developed a Bayesian hierarchical model to produce monthly estimates of excess natural-cause mortality for US counties over the first 30 mo of the pandemic. From March 2020 through August 2022, 1,194,610 excess natural-cause deaths occurred nationally [90% PI (Posterior Interval): 1,046,000 to 1,340,204]. A total of 162,886 of these excess natural-cause deaths (90% PI: 14,276 to 308,480) were not reported to COVID-19. Overall, 15.8 excess deaths were reported to non-COVID-19 natural causes for every 100 reported COVID-19 deaths. This number was greater in nonmetropolitan counties (36.0 deaths), the West (Rocky Mountain states: 31.6 deaths; Pacific states: 25.5 deaths), and the South (East South Central states: 26.0 deaths; South Atlantic states: 25.0 deaths; West South Central states: 24.2 deaths). In contrast, reported COVID-19 death counts surpassed estimates of excess natural-cause deaths in metropolitan counties in the New England and Middle Atlantic states. Increases in reported COVID-19 deaths correlated temporally with increases in excess deaths reported to non-COVID-19 natural causes in the same and/or prior month. This suggests that many excess deaths reported to non-COVID-19 natural causes during the first 30 mo of the pandemic in the United States were unrecognized COVID-19 deaths.

  • Boargameology Publications

    Boardgaming Motivations Scale survey items, which has 6 dimensions: lusory, immersion, group sociality, community, mastery, and escapism boardgaming motivations

    Joe A. Wasserman and Julia K. Weiss

    Abstract: Games, and boardgames specifically, are an increasingly central part of many individuals’ media diets. Boardgames also have immense potential as naturalistic laboratories for studying psychological phenomena, providing players opportunities for small-group and interpersonal interactions with social, emotional, and cognitive consequences. Although different boardgaming motivations likely moderate these processes and outcomes, no grounded, validated instrument exists to measure them. This three-study investigation explored gaming motivations of and gratifications enjoyed by boardgamers (Study 1; N = 374) and drew from this exploration to develop the Boardgaming Motivations Scale (Study 2; N = 1,045). Exploratory structural equation models provided initial evidence of the scale’s validity (Study 2). The scale was further refined and validated with an independent sample of less involved boardgamers (Study 3; N = 652). The diverse pool of motivations for playing boardgames inductively identified in Study 1 were reduced to seven dimensions in Study 2 and finally to six in Study 3. These dimensions reflected lusory, immersion, group sociality, community, escapism, and mastery boardgaming motivations. Relationships among these motivations and preferences for boardgame mechanics and genres, individual differences, and videogaming motivations provided initial evidence of the construct, convergent, predictive, and discriminant validity of the Boardgaming Motivations Scale. Supplemental material and data: https://osf.io/cqusx/

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    Joe A. Wasserman and Kevin Koban

    Abstract: This study investigated the development of player skill and cognitive understanding of a game over repeated plays to (a) bridge separate research traditions on skill acquisition and games learning and (b) provide deeper insight into the process of developing mental models of games. 325 participants responded to an online questionnaire with questions concerning their experience with the game, Hive, as well as both open- and closed-ended items designed to compare their understanding of the game to an expert’s understanding. Open-ended items were content analyzed and modeled as a latent variable. As predicted, both player skill and mental model matching were positively associated with number of plays. Additionally, while player skill had a curvilinear relationship with number of plays that indicated diminishing returns on additional plays, that between cognitive understanding and plays appeared to be linear. The implications of these findings for the cognitive underpinnings of player skill—and for mental model matching theory in particular—are discussed. Supplemental online material is provided here: https://osf.io/3yeg2/

    Tabletop, desktop, and tablet versions of the boardgame Splendor

    Joe A. Wasserman

    Chapter published in Rerolling Boardgames: Essays on Themes, Systems, Experiences and Ideologies


    "A fascinating essay ... I wish it could have been longer ... opens up many potential avenues for further research" – Paul Wake, Manchester Games Studies Network


    Excerpt: I argue that playing boardgames entails mediated communication among players that is constituted by manipulating a boardgame’s tangible components. In other words, while playing a boardgame, the components of the game mediate (some of) the players’ communication with each other. First, however, it is necessary to characterize boardgames as interactive media to establish a conceptualization of boardgames that underlies these arguments. These particular understandings of boardgames as interactive media suggest a range of entities that may be productive grounds for exploration in research and analysis. Furthermore, conceptualizing boardgames as a form of mediated communication presents new opportunities and considerations for communication scholars, boardgame scholars, and game designers.

    Dominion card game

    Joe A. Wasserman and Jaime Banks

    Background. Although the effectiveness of game-based learning (GBL) is well- supported, much less is known about the process underlying it. Nevertheless, developing a mental model that matches the game system, which in turn models a real-world system, is a promising proposed process.

    Aim. This article explores the first steps in model matching: identifying the entities and (complex) relations in a game system.

    Method. Participants (N = 30) played the analog game DOMINION and completed a multi-step mental model mapping exercise. Categories of entities in mental model maps were inductively identified with grounded theory coding, while complex relations in mental model maps were identified via content analysis.

    Results. Participants described formal game entities, player actions, sociality, learning processes, and subjective experience in their mental model maps. Participants identified very few complex relations—and no feedback loops—in their mental model maps.

    Conclusions. Games—and analog games specifically—provide a breadth of resources for model matching and GBL. Through gameplay, learners come to affix conceptual meanings to material objects, a process dubbed lamination.

    Supplement. Complex Relations Codebook

    Rory McGloin, Joe A. Wasserman, and Andy Boyan

    Abstract: The primary aim of this article is to provide a comprehensive review and elaboration of model matching and its theoretical propositions. Model matching explains and predicts individuals’ outcomes related to gameplay by focusing on the interrelationships among games’ systems of mechanics, relevant situations external to the game, and players’ mental models. Formalizing model matching theory in this way provides researchers a unified explanation for game-based learning, game performance, and related gameplay outcomes while also providing a theory-based direction for advancing the study of games more broadly. The propositions explicated in this article are intended to serve as the primary tenets of model matching theory. Considerations for how these propositions may be tested in future games studies research are discussed.

    Tabletop, desktop, and tablet versions of the boardgame Splendor

    Joe A. Wasserman and Christine E. Rittenour

    Abstract: Male/female-based stereotypes appear to be widespread, providing a potential barrier to women's participation and success in gaming contexts, such as recreational gaming, competitive eSports, and game-based learning. Differences in the strength of stereotypes associated with different kinds of games, which would have im- plications for reducing these barriers, are currently unknown. In an online between-participants experiment manipulating the platform (analog tabletop, digital tablet computer, digital desktop computer) of the game Splendor, 105 participants responded to questions asking them to separately rate their perceptions of men's and women's affinity for the game. Confirming extant research on gaming stereotypes, they perceived women as having less of an affinity for this game. While this trend emerged similarly between all platforms of the game depicted, the magnitude of this difference was less when participants had a stronger social group identification with gamers. These perceptions did not depend on social group identification with women. Given the potential for stereotypes to discourage women from gaming and threaten their performance and learning in gaming contexts, as well as the prominent and persistent public interest in gaming, we suggest researchers further examine stereotypes and identity in the study of diverse games, game platforms, and powerful perceptions.

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  • Agent-Based Modeling

    Agent based model of social uses and gratifications media consumption and social interaction

    As part of a larger essay on combining classic media theory (uses & gratifications) with more recent methods from complexity science (agent based models), I created this simulation in which agents (squares) assess their current need for social interaction and choose to either (a) consume media independently or (b) interact with their neighbors. Behavior and emergent outcomes depend on tunable model parameters. Skip the essay and play with the agent based model here.

    Agent based model of social uses and gratifications media consumption and social interaction

    I was curious about whether and how much US presidential election voting dynamics could potentially be explained just by partisan voters reacting to the results of the previous election cycle, so I made this simulation. In this model, state-by-state partisan voter participation (a) increases after losing a presidential election and (b) decreases after winning. And these dynamics can reproduce historical outcomes! So the answer is: maybe? Play with the agent based model here.

  • Games & Learning Syllabus

    The syllabus for my Games & Learning class (Spring 2018), a combined upper-level undergraduate/graduate course with a boardgame design final project.

  • Cookie Recipes

    I've developed several cookie recipes:

    • Raspberry chocolate chip cookies
    • Coffee and cream cookies
    • Cardamom sesame chocolate chip cookies, and
    • Thai curry with coconut milk crumb, peanut brittle, and chocolate chip cookies

    Please enjoy them!

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