The Role of Social Cognition and Person Perception in Economic Social Decision-Making

Social decision-making is often complex, requiring the decision-maker to make social inferences about another person in addition to engaging traditional decision-making processes. However, until recently, much research in neuroeconomics and behavioral economics has examined social decision-making while failing to take into account the importance of the social context and social cognitive processes that are engaged when viewing another person. Using social psychological theory to guide our hypotheses, four research studies investigate the role of social cognition and person perception in guiding economic decisions made in social contexts. The first study (Chapter 2) demonstrates that only specific types of social information engage brain regions implicated in social cognition and hinder learning in social contexts. Study 2 (Chapter 3) extends these findings and examines contexts in which this social information is used to generalize across contexts to form predictions about another person’s behavior. Study 3 (Chapter 4) demonstrates that under certain contexts these social cognitive processes may be withheld in order to more effectively complete the task at hand. Last, Study 4 (Chapter 5) examines how this knowledge of social cognitive processing can be used to change behavior in a prosocial group context. Taken together, these studies add to the growing body of literature examining decision-making in social contexts and highlight the importance of social cognitive processing in guiding these decisions. Although social cognitive processing typically facilitates social interactions, these processes may alter economic decision-making in social contexts.

Migration and Perception of Health Status: a Qualitative Study in Kazakh Chinese

This qualitative study explored the rural to urban migration’s effect and its related factors on later life health status and health perception among Kazakh Chinese. The participants were same sex sibling pairs, of which one moved from rural to urban areas in early life and the other stayed in rural areas. Rural participants tend to have more selected chronic diseases conditions and other self-reported conditions than urban participants but less physical limitations in older age. There is no clear difference on the health perceptions between rural and urban participants. Health care access and environmental factors are the major differences that may affect health in later life for rural participants.

Latent Space and Social Psychological Models of Diffusion

The problem of social diffusion has animated sociological thinking on topics ranging from the spread of an idea, an innovation or a disease, to the foundations of collective behavior and political polarization. While network diffusion has been a productive metaphor, the reality of diffusion processes is often muddier. Ideas and innovations diffuse differently from diseases, but, with a few exceptions, the diffusion of ideas and innovations has been modeled under the same assumptions as the diffusion of disease. In this dissertation, I develop two new diffusion models for "socially meaningful" contagions that address two of the most significant problems with current diffusion models: (1) that contagions can only spread along observed ties, and (2) that contagions do not change as they spread between people. I augment insights from these statistical and simulation models with an analysis of an empirical case of diffusion - the use of enterprise collaboration software in a large technology company. I focus the empirical study on when people abandon innovations, a crucial, and understudied aspect of the diffusion of innovations. Using timestamped posts, I analyze when people abandon software to a high degree of detail.

To address the first problem, I suggest a latent space diffusion model. Rather than treating ties as stable conduits for information, the latent space diffusion model treats ties as random draws from an underlying social space, and simulates diffusion over the social space. Theoretically, the social space model integrates both actor ties and attributes simultaneously in a single social plane, while incorporating schemas into diffusion processes gives an explicit form to the reciprocal influences that cognition and social environment have on each other. Practically, the latent space diffusion model produces statistically consistent diffusion estimates where using the network alone does not, and the diffusion with schemas model shows that introducing some cognitive processing into diffusion processes changes the rate and ultimate distribution of the spreading information. To address the second problem, I suggest a diffusion model with schemas. Rather than treating information as though it is spread without changes, the schema diffusion model allows people to modify information they receive to fit an underlying mental model of the information before they pass the information to others. Combining the latent space models with a schema notion for actors improves our models for social diffusion both theoretically and practically.

The empirical case study focuses on how the changing value of an innovation, introduced by the innovations' network externalities, influences when people abandon the innovation. In it, I find that people are least likely to abandon an innovation when other people in their neighborhood currently use the software as well. The effect is particularly pronounced for supervisors' current use and number of supervisory team members who currently use the software. This case study not only points to an important process in the diffusion of innovation, but also suggests a new approach -- computerized collaboration systems -- to collecting and analyzing data on organizational processes.

Community Vulnerability and Adaptation to Climate Change in East Palo Alto

Climate change and sea level rise continue to devastate communities around the globe. The impacts have a disproportionate effect on those of lower socio-economic levels, and the consequences are frequently not borne equally amongst impacted individuals (UNDP, 2013). Community-based adaptation has been widely used to assess vulnerabilities and impacts at the community level, with an inclusive process that addresses root causes of risk. The process provides the opportunity for local government to empower and engaged impacted communities in identifying and prioritizing their urgent adaptation needs. This study aims to understand East Palo Alto community vulnerabilities by assessing local knowledge and perception of risk to climate change. East Palo Alto, an urban city in California with socio-economic challenges, is vulnerable to flooding and coastal inundation. The limited financial and institutional capacity of the local government and community increases vulnerability and risk. Recommendations and steps are presented to guide actions and programs that are crucial in addressing community priorities and concerns.

Community Vulnerability and Adaptation to Climate Change in East Palo Alto

Climate change and sea level rise continue to devastate communities around the globe. The impacts have a disproportionate effect on those of lower socio-economic levels, and the consequences are frequently not borne equally amongst impacted individuals (UNDP, 2013). Community-based adaptation has been widely used to assess vulnerabilities and impacts at the community level, with an inclusive process that addresses root causes of risk. The process provides the opportunity for local government to empower and engaged impacted communities in identifying and prioritising their urgent adaptation needs. This study aims to understand East Palo Alto community vulnerabilities by assessing local knowledge and perception of risk to climate change. East Palo Alto, an urban city in California with socio- economic challenges, is vulnerable to flooding and coastal inundation. The limited financial and institutional capacity of the local government and community increases vulnerability and risk. Recommendations and steps are presented to guide actions and programs that are crucial in addressing community priorities and concerns

Circuits for presaccadic remapping

Saccadic eye movements rapidly displace the image of the world that is projected onto the retinas. In anticipation of each saccade, many neurons in the visual system shift their receptive fields. This presaccadic change in visual sensitivity, known as remapping, was first documented in the parietal cortex and has been studied in many other brain regions. Remapping requires information about upcoming saccades via corollary discharge. Analyses of neurons in a corollary discharge pathway that targets the frontal eye field (FEF) suggest that remapping may be assembled in the FEF’s local microcircuitry. Complementary data from reversible inactivation, neural recording, and modeling studies provide evidence that remapping contributes to transsaccadic continuity of action and perception. Multiple forms of remapping have been reported in the FEF and other brain areas, however, and questions remain about reasons for these differences. In this review of recent progress, we identify three hypotheses that may help to guide further investigations into the structure and function of circuits for remapping.

Circuits for Presaccadic Visual Remapping.

Saccadic eye movements rapidly displace the image of the world that is projected onto the retinas. In anticipation of each saccade, many neurons in the visual system shift their receptive fields. This presaccadic change in visual sensitivity, known as remapping, was first documented in the parietal cortex and has been studied in many other brain regions. Remapping requires information about upcoming saccades via corollary discharge. Analyses of neurons in a corollary discharge pathway that targets the frontal eye field (FEF) suggest that remapping may be assembled in the FEF's local microcircuitry. Complementary data from reversible inactivation, neural recording, and modeling studies provide evidence that remapping contributes to transsaccadic continuity of action and perception. Multiple forms of remapping have been reported in the FEF and other brain areas, however, and questions remain about reasons for these differences. In this review of recent progress, we identify three hypotheses that may help to guide further investigations into the structure and function of circuits for remapping.