The Dynamics of Prosocial Leadership: Power and Influence in Collective Action Groups

This project bridges insights from theories of collective action, power, and influence to address the conditions under which group leaders solve collective action problems. Specifically, I show how group leaders’ behaviors impact the success of collective action groups as a whole via both power and influence processes. The results of a laboratory experiment support the prediction that other-regarding (prosocial) leaders increase their contributions to the group after ascending to leadership, while selfregarding (proself) leaders reduce their contributions. Further, I show that rank and file group members are influenced by their leaders’ contribution behaviors; as a result, prosocial-led groups as a whole are substantially more productive than proself-led groups. Indeed, as predicted, prosocial leaders were even more effective in maintaining large group contributions than the standard peer sanctioning system, where the ability to punish others is distributed equally among all group members. Importantly, these results suggest that prosocial leaders—but not proself leaders—are an effective solution to collective action problems. Therefore, I also address whether group members tend to select prosocials for leadership positions (Study 2a), and whether they are able to identify prosocials when all group members are able to compete for the leadership position by vying to be elected to the role (Study 2b). Results from these studies suggest that people prefer prosocials for the leader position, and that while group members do compete for leadership, both prosocial and proself individuals compete at similar rates, such that prosocials remain higher contributors than their proself counterparts. As a result, prosocials are particularly likely to be selected for leadership positions when group contributions are known. Study 2b also demonstrates that groups that hold democratic elections for leadership may induce more cooperative behavior in their members not only once the leader is installed, but even before leadership hierarchies emerge as a result of competition to be elected. Taken as a whole, the findings suggest that putting power and influence in the right hands solves collective action problems and promotes collective welfare. Leadership—specifically, democratically elected, prosocial leadership— promises an effective solution to collective action problems

Whaling in Japan: Conflicts and Controversies

From pre-historic to modern times, whales remain an exploitable resource, though in recent decades the controversy surrounding whaling has yielded economical, political, and social “double-standards” on a domestic and global scale. Through reading anti-whaling and international organization statements, government documents, and statistical data, this paper examines the history of three countries—Japan, Norway, and the U.S.—to compare the “double-standards” presented against Japan. Conflicts arise as a result of Japan’s choice to whale seen through its conflicts with anti-whaling organizations, international organizations, and other countries. Additionally, this paper compares whaling with certain western food practices, including foie gras and veal, to demonstrate how Orientalism affects the practices of those controversies

The Enforcement of Moral Boundaries Promotes Cooperation and Prosocial Behavior in Groups

The threat of free-riding makes the marshalling of cooperation from group members a fundamental challenge of social life. Where classical social science theory saw the enforcement of moral boundaries as a critical way by which group members regulate one another’s self-interest and build cooperation, moral judgments have most often been studied as processes internal to individuals. Here we investigate how the interpersonal expression of positive and negative moral judgments encourages cooperation in groups and prosocial behavior between group members. In a laboratory experiment, groups whose members could make moral judgments achieved greater cooperation than groups with no capacity to sanction, levels comparable to those of groups featuring costly material sanctions. In addition, members of moral judgment groups subsequently showed more interpersonal trust, trustworthiness, and generosity than all other groups. These findings extend prior work on peer enforcement, highlighting how the enforcement of moral boundaries offers an efficient solution to cooperation problems and promotes prosocial behavior between group members

Roots of reciprocity: Gratitude and reputation in generalized exchange systems

Social scientists often study the flow of material and social support as generalized exchange systems. These systems are associated with an array of benefits to groups and communities, but their existence is problematic, because individuals may be motivated to take from the system without giving back to it. Researchers have identified two broad processes governing prosociality in generalized exchange systems: generalized reciprocity (a person who receives help from someone pays it forward by helping a third person) and indirect reciprocity (a person who helps another establishes a prosocial reputation and, as a consequence, later receives help from a third person). Although generalized exchange systems can be based on either process, generalized and indirect reciprocity are based on different mechanisms and, with few exceptions, have been investigated independently. Here we present an integrated approach to generalized exchange that (1) specifies when each process is most likely to promote prosocial behavior, (2) details the implications for resource inequalities in generalized exchange systems, and (3) describes how generalized and indirect reciprocity jointly influence prosocial behavior. Results from four new experiments strongly support the theoretical arguments.Sociolog

Tumor Necrosis Factor Alpha-Induced Interleukin-1 Alpha Synthesis and Cell Death Is Increased in Mouse Epithelial Cells Infected With Chlamydia muridarum

Chlamydia trachomatis-genital infection in women can be modeled in mice using Chlamydia muridarum. Using this model, it has been shown that the cytokines tumor necrosis factor (TNF)α and interleukin (IL)-1α lead to irreversible tissue damage in the oviducts. In this study, we investigated the contribution of TNFα on IL-1α synthesis in infected epithelial cells. We show that C muridarum infection enhanced TNFα-induced IL-1α expression and release in a mouse epithelial cell line. In addition to IL-1α, several TNFα-induced inflammatory genes were also highly induced, and infection enhanced TNF-induced cell death. In the mouse model of genital infection, oviducts from mice lacking the TNFα receptor displayed minimal staining for IL-1α compared with wild-type oviducts. Our results suggest TNFα and IL-1α enhance each other's downstream effects resulting in a hyperinflammatory response to chlamydial infection. We propose that biologics targeting TNF-induced IL-1α synthesis could be used to mitigate tissue damage during chlamydial infection

Indigenous Protocol and Artificial Intelligence Position Paper

This position paper on Indigenous Protocol (IP) and Artificial Intelligence (AI) is a starting place for those who want to design and create AI from an ethical position that centers Indigenous concerns. Each Indigenous community will have its own particular approach to the questions we raise in what follows. What we have written here is not a substitute for establishing and maintaining relationships of reciprocal care and support with specific Indigenous communities. Rather, this document offers a range of ideas to take into consideration when entering into conversations which prioritize Indigenous perspectives in the development of artificial intelligence. It captures multiple layers of a discussion that happened over 20 months, across 20 time zones, during two workshops, and between Indigenous people (and a few non-Indigenous folks) from diverse communities in Aotearoa, Australia, North America, and the Pacific. Indigenous ways of knowing are rooted in distinct, sovereign territories across the planet. These extremely diverse landscapes and histories have influenced different communities and their discrete cultural protocols over time. A single ‘Indigenous perspective’ does not exist, as epistemologies are motivated and shaped by the grounding of specific communities in particular territories. Historically, scholarly traditions that homogenize diverse Indigenous cultural practices have resulted in ontological and epistemological violence, and a flattening of the rich texture and variability of Indigenous thought. Our aim is to articulate a multiplicity of Indigenous knowledge systems and technological practices that can and should be brought to bear on the ‘question of AI.’ To that end, rather than being a unified statement this position paper is a collection of heterogeneous texts that range from design guidelines to scholarly essays to artworks to descriptions of technology prototypes to poetry. We feel such a somewhat multivocal and unruly format more accurately reflects the fact that this conversation is very much in an incipient stage as well as keeps the reader aware of the range of viewpoints expressed in the workshops

Kaʻina Hana ʻŌiwi a me ka Waihona ʻIke Hakuhia Pepa Kūlana

He wahi hoʻomaka kēia pepa kuana no ke Kaʻina Hana ʻŌiwi (KHʻO) a me ka Waihona ʻike Hakuhia (WʻIH) no ka poʻe e ake nei e haku a hana he WʻIK mai ke kuanaʻike kūpono e hoʻokele ʻia nei e ka manaʻo ʻŌiwi. He kiʻina hana ko kēlā a me kēia kaiāulu ʻŌiwi i nā nīnau a mākou e ui aʻe ai. ʻAʻole kēia mea a mākou i kākau ai he pani i ke kūkulu a mālama ʻana i ka pilina kākoʻo kekahi i kekahi me kekahi mau kaiāulu ʻŌiwi. Eia naʻe, hāpai aʻe kēia palapala i kekahi mau manaʻo e noʻonoʻo ai ke komo i kēia mau kamaʻilio ʻana ʻo ka hoʻomaka koho ʻana i ke kuanaʻike ʻŌiwi i ka haku ʻana he waihona ʻike hakuhia. He hoʻāʻo kēia wahi pepa kūlana e hōʻiliʻili i nā ʻano kamaʻilio like ʻole no 20 mahina, no 20 kāʻei hola, no ʻelua hālāwai hoʻonaʻauao, a ma waena hoʻi o kekahi mau poʻe ʻŌiwi (a ʻŌiwi ʻole hoʻi) no nā kaiāulu like ʻole i Aotearoa, Nū Hōlani, ʻAmelika ʻĀkau a me ka Pākīpika. ʻO ke kia nō naʻe, ʻaʻole ʻo ka hoʻolōkahi ʻana he leo. Paʻa nō ka ʻike ʻŌiwi i kekahi mau ʻāina a aupuni kikoʻī a puni ka honua. Hoʻohuli aku kēia mau ʻāina a mōʻaukala like ʻole i nā kaiāulu ʻokoʻa a me ko lākou mau kaʻina hana ʻŌiwi i ke au o ka manawa. ʻAʻohe “kuanaʻike ʻŌiwi hoʻokahi”, a hoʻomau a haku ʻia nā kālaikuhiʻike e ka hoʻokumu ʻana o kekahi mau kaiāulu kikoʻī i loko o kahi mau ʻāina. Ma mua, he hopena ulūlu o ke kālaikuhiʻike a kālaikuhikanaka ko ka loina naʻauao i hoʻāʻo e naʻi a hoʻohilimia i ka loina ʻŌiwi, a hoʻohāiki ʻia ke ʻano o ka manaʻo a kuanaʻike ʻŌiwi. ʻO ko mākou pahuhopu ke kālele ʻana i nā ʻōnaehana ʻike ʻŌiwi like ʻole a me ke ʻano o ka ʻenehana e hāpai i ka nīnau ʻo ka WʻIH. Ma muli o ia palena, a ma kahi o ka hoʻokuʻikuʻi ʻana he manaʻo lōkahi, he hōʻiliʻili kēia pepa kūlana o kēlā ʻano kēia ʻano o ka moʻokalaleo: ʻo nā manaʻo hoʻokele hakulau ʻoe,, ʻo ka ʻatikala akeakamai ʻoe, ʻo ka wehewehena o ka mana ʻenehana mua ʻoe , a ʻo ka poema ʻoe. I ko mākou manaʻo, he ʻolokeʻa kūpono maoli nā leo a kuanaʻike ʻokoʻa i ka ʻoiaʻiʻo he pae kinohi maoli nō kēia kamaʻilio ʻana, a he hōʻike i ka mea heluhelu no nā kuanaʻike i kupu mai i loko o nā hālāwai hoʻonaʻauao

Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease

We identified rare coding variants associated with Alzheimer’s disease (AD) in a 3-stage case-control study of 85,133 subjects. In stage 1, 34,174 samples were genotyped using a whole-exome microarray. In stage 2, we tested associated variants (P<1×10-4) in 35,962 independent samples using de novo genotyping and imputed genotypes. In stage 3, an additional 14,997 samples were used to test the most significant stage 2 associations (P<5×10-8) using imputed genotypes. We observed 3 novel genome-wide significant (GWS) AD associated non-synonymous variants; a protective variant in PLCG2 (rs72824905/p.P522R, P=5.38×10-10, OR=0.68, MAFcases=0.0059, MAFcontrols=0.0093), a risk variant in ABI3 (rs616338/p.S209F, P=4.56×10-10, OR=1.43, MAFcases=0.011, MAFcontrols=0.008), and a novel GWS variant in TREM2 (rs143332484/p.R62H, P=1.55×10-14, OR=1.67, MAFcases=0.0143, MAFcontrols=0.0089), a known AD susceptibility gene. These protein-coding changes are in genes highly expressed in microglia and highlight an immune-related protein-protein interaction network enriched for previously identified AD risk genes. These genetic findings provide additional evidence that the microglia-mediated innate immune response contributes directly to AD development

Estimating an individual's probability of revision surgery after knee replacement : a comparison of modeling approaches using a national dataset

Tools that provide personalized risk prediction of the outcomes after surgical procedures help patients to make preference-based decisions amongst the available treatment options. However, it is unclear which modeling approach provides the most accurate risk estimation. We constructed and compared several parametric and non-parametric models for predicting prosthesis survivorship after knee replacement surgery for osteoarthritis. We used 430,455 patient-procedure episodes between April 2003 and September 2015 from the National Joint Registry for England, Wales, Northern Ireland and the Isle of Man. The flexible parametric survival and random survival forest models most accurately captured the observed probability of remaining event-free. The concordance index for the flexible parametric model was the highest (0.705; 95% confidence interval: 0.702, 0.707) for total knee replacement, 0.639 (95% confidence interval: 0.634, 0.643) for unicondylar knee replacement and 0.589 (95% confidence interval: 0.586, 0.592) for patellofemoral replacement. The observed-to-predicted ratios for both the flexible parametric and the random survival forest approaches indicated that models tended to underestimate the risks for most risk groups. Our results show that the flexible parametric model has a better overall performance compared to other tested parametric methods, and better discrimination compared to the random survival forest approach