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1. Attitudes Toward Same-Sex Marriage, Polyamorous Marriage, and Conventional Marriage Ideals Among College Students in the Southeastern United States

   https://doi.org/10.1007/s12119-022-09960-y  

   Kaufman, Gayle; Aiello, Alex; Ellis, Camryn; Compton, D’Lane (April 2022, Sexuality & Culture)

   This study examines the idea that attitudes toward marriage are liberalizing in the US in the face of federal recognition of same-sex marriage legislation by examining attitudes toward conventional marriage ideals, same-sex marriage, and polyamorous marriage. It draws on a sample of liberal arts college students (n = 330) in the southeastern United States as a representation of a cohort more flexible to change and greater social tolerance. Findings indicate shifts away from conventional marriage and toward marriage as more inclusive of same-sex couples. At the same time, less than half support polyamorous marriage. Unsurprisingly, religious students are more likely to support conventional marriage ideals and less likely to support same-sex marriage and students with conservative political ideology are less likely to support same-sex marriage or polyamorous marriage. In particular, the negative impact of political ideology on these attitudes is stronger for men and straight students. Women are more likely than men to support same-sex marriage. LGBQ students are less likely to support conventional views of marriage and more likely to support polyamorous marriage than heterosexual students. While college students today have entered adulthood in the age of marriage equality, and are accepting of same-sex unions, students indicate more mixed feelings about what marriage encompasses, the value of marriage, and whether to support polyamorous marriage. 

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2. Behavioral Stable Marriage Problems

   Martin, A.; Venable, K.B.; Mattei, N. (January 2021, Distributed Artificial Intelligence)
3. Behavioral Stable Marriage Problems

   Martin, A.; Venable, K.B.; Mattei, N. (January 2021, COMSOC)
4. Behavioral Stable Marriage Problems

   Martin, Andrea; Venable, Kristen Brent; Mattei, Nicholas (December 2021, The Third International Conference on Distributed Artificial Intelligence)

   The stable marriage problem (SMP) is a mathematical abstraction of two-sided matching markets with many practical applications including matching resident doctors to hospitals and students to schools. Several preference models have been considered in the context of SMPs including orders with ties, incomplete orders, and orders with uncertainty, but none have yet captured behavioral aspects of human decision making, e.g., contextual effects of choice. We introduce Behavioral Stable Marriage Problems (BSMPs), bringing together the formalism of matching with cognitive models of decision making to account for multi-attribute, non-deterministic preferences and to study the impact of well known behavioral deviations from rationality on two core notions of SMPs: stability and fairness. We analyze the computational complexity of BSMPs and show that proposal-based approaches are affected by contextual effects. We then propose and evaluate novel ILP and local-search-based methods to efficiently find optimally stable and fair matchings for BSMPs. 

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5. Behavioral Stable Marriage Problems

   Martin, Andrea; Venable, Kristen Brent; Mattei, Nicholas (July 2021, The 8th International Workshop on Computational Social Choice (COMSOC-2021))

   The stable marriage problem (SMP) is a mathematical abstraction of two-sided matching markets with many practical applications including matching resident doctors to hospitals and students to schools. Several preference models have been considered in the context of SMPs including orders with ties, incomplete orders, and orders with uncertainty, but none have yet captured behavioral aspects of human decision making, e.g., contextual effects of choice. We introduce Behavioral Stable Marriage Problems (BSMPs), bringing together the formalism of matching with cognitive models of decision making to account for multi-attribute, non-deterministic preferences and to study the impact of well known behavioral deviations from rationality on two core notions of SMPs: stability and fairness. We analyze the computational complexity of BSMPs and show that proposal-based approaches are affected by contextual effects. We then propose and evaluate novel ILP and local-search-based methods to efficiently find optimally stable and fair matchings for BSMPs. 

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