James H. Fowler | |
---|---|
Born | February 18, 1970 |
Nationality | American |
Alma mater | Harvard University (1992, 2001, 2003) Yale University (1997) |
Known for | Obesity contagiousness Happiness contagiousness Genopolitics Genes and Social Networks Colbert bump |
Scientific career | |
Fields | Social network analysis Cooperation Political participation Genopolitics |
Institutions | University of California, San Diego University of California, Davis |
James H. Fowler (born February 18, 1970) [1] is an American social scientist specializing in social networks, cooperation, political participation, and genopolitics (the study of the genetic basis of political behavior). He is currently Professor of Medical Genetics in the School of Medicine and Professor of Political Science in the Division of Social Science at the University of California, San Diego. He was named a 2010 Fellow of the John Simon Guggenheim Foundation. [2]
Fowler earned a bachelor's degree from Harvard College in 1992, a master's degree in International Relations from Yale University in 1997, and a Ph.D. in Government from the Harvard University in 2003. He was also a Peace Corps volunteer in Ecuador from 1992 to 1994. In 2010, he was named by Foreign Policy magazine to its list of top global thinkers. [3]
Fowler's research centers on social networks. [4] He is best known for his studies of the social spread of obesity, [5] [6] smoking, [7] and happiness [8] [9] in the Framingham Heart Study, but he has also studied the network of legislative cosponsorships in the U.S. Congress [10] [11] and the network of U.S. Supreme Court precedents. [12] [13]
Studies by Nicholas A. Christakis and Fowler suggested a variety of individuals' attributes like obesity, [14] smoking cessation, [15] and happiness [16] rather than being individualistic, are causally correlated by contagion mechanisms that transmit these behaviors over long distances within social networks. [17] A debate over the statistical models used to establish these three degrees of influence findings ensued, but subsequent studies have found evidence of their central claims about behavioral influence and contagion. [18] [19] [20] [21]
In addition to his research on social networks, Fowler has become known for his work on genopolitics, showing that genes influence voting and other forms of political participation. [22] [23] [24] Fowler used twin studies of voter turnout in Los Angeles and the National Longitudinal Study of Adolescent Health to establish that the decision to vote in the United States has very strong heritability. [25] He has also identified three genes that are associated with voter turnout and partisan attachment, specifically those regulating the serotonin and dopamine systems in the brain via the production of monoamine oxidase, 5HTT, and DRD2. [26] [27]
More recently, he has shown evidence that social networks have a partly genetic basis. [28] In 2010, he published a paper regarding the use of social networks as 'sensors' for forecasting epidemics. [29]
In other research, Fowler is known for his theoretical and experimental work on egalitarianism [30] [31] and the evolution of cooperation, [32] [33] with related work on altruism, overconfidence, [34] and political participation. [35]
Fowler's newest research focuses on Facebook friendship as a predictor of voter mobilization, and the use of the social network medium, to mobilize voters in American elections. Based on a large manipulation of friendship cues in the Facebook social network, Fowler demonstrates that being presented with indications of friends having voted is a strong predictor of individual voting.
In September 2009, Little, Brown & Co. published Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives by Nicholas A. Christakis and James H. Fowler. [36] Connected draws on previously published and unpublished studies, including the Framingham Heart Study and makes several new conclusions about the influence of social networks on human health and behavior. [37] In Connected, they put forward their "three degrees of influence" rule about human behavior, which theorizes that each person's individual social influence stretches three degrees before it fades out. [38] [39]
On February 28, 2008, the Los Angeles Times published an op-ed that summarized Fowler's research showing that Democratic candidates who come on The Colbert Report receive 44% more in campaign donations in the first 30 days after appearing on the show. [40] [41] Colbert pointed out the op-ed on his March 3, 2008 show. Fowler also appeared during the Threatdown on his December 10, 2008 show, describing his work on the spread of happiness in social networks, and again on the January 7th, 2010 show to discuss the sociological impact of social networking.
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(help)CS1 maint: multiple names: authors list (link)The Framingham Heart Study Social Network
Genes and Politics
Genes and Social Networks
Experimental Studies of Cooperation and Egalitarianism
Evolutionary Models
Altruism and Political Participation
Legislator Social Networks
Voter Social Networks
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ignored (help)Network of Supreme Court Precedents
Evolution is the change in the heritable characteristics of biological populations over successive generations. It occurs when evolutionary processes such as natural selection and genetic drift act on genetic variation, resulting in certain characteristics becoming more or less common within a population over successive generations. The process of evolution has given rise to biodiversity at every level of biological organisation.
Happiness is a complex and multifaceted emotion that encompasses a range of positive feelings, from contentment to intense joy. It is often associated with positive life experiences, such as achieving goals, spending time with loved ones, or engaging in enjoyable activities. However, happiness can also arise spontaneously, without any apparent external cause.
Oxytocin is a peptide hormone and neuropeptide normally produced in the hypothalamus and released by the posterior pituitary. Present in animals since early stages of evolution, in humans it plays roles in behavior that include social bonding, love, reproduction, childbirth, and the period after childbirth. Oxytocin is released into the bloodstream as a hormone in response to sexual activity and during childbirth. It is also available in pharmaceutical form. In either form, oxytocin stimulates uterine contractions to speed up the process of childbirth. In its natural form, it also plays a role in maternal bonding and milk production. Production and secretion of oxytocin is controlled by a positive feedback mechanism, where its initial release stimulates production and release of further oxytocin. For example, when oxytocin is released during a contraction of the uterus at the start of childbirth, this stimulates production and release of more oxytocin and an increase in the intensity and frequency of contractions. This process compounds in intensity and frequency and continues until the triggering activity ceases. A similar process takes place during lactation and during sexual activity.
Social influence comprises the ways in which individuals adjust their behavior to meet the demands of a social environment. It takes many forms and can be seen in conformity, socialization, peer pressure, obedience, leadership, persuasion, sales, and marketing. Typically social influence results from a specific action, command, or request, but people also alter their attitudes and behaviors in response to what they perceive others might do or think. In 1958, Harvard psychologist Herbert Kelman identified three broad varieties of social influence.
Humans or modern humans are the most common and widespread species of primate, and the last surviving species of the genus Homo. They are great apes characterized by their hairlessness, bipedalism, and high intelligence. Humans have large brains, enabling more advanced cognitive skills that enable them to thrive and adapt in varied environments, develop highly complex tools, and form complex social structures and civilizations. Humans are highly social, with individual humans tending to belong to a multi-layered network of cooperating, distinct, or even competing social groups – from families and peer groups to corporations and political states. As such, social interactions between humans have established a wide variety of values, social norms, languages, and traditions, each of which bolsters human society. Humans are also highly curious, with the desire to understand and influence phenomena having motivated humanity's development of science, technology, philosophy, mythology, religion, and other frameworks of knowledge; humans also study themselves through such domains as anthropology, social science, history, psychology, and medicine. There are estimated to be more than eight billion humans alive.
An agent-based model (ABM) is a computational model for simulating the actions and interactions of autonomous agents in order to understand the behavior of a system and what governs its outcomes. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo methods are used to understand the stochasticity of these models. Particularly within ecology, ABMs are also called individual-based models (IBMs). A review of recent literature on individual-based models, agent-based models, and multiagent systems shows that ABMs are used in many scientific domains including biology, ecology and social science. Agent-based modeling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of ABM is to search for explanatory insight into the collective behavior of agents obeying simple rules, typically in natural systems, rather than in designing agents or solving specific practical or engineering problems.
The Framingham Heart Study is a long-term, ongoing cardiovascular cohort study of residents of the city of Framingham, Massachusetts. The study began in 1948 with 5,209 adult subjects from Framingham, and is now on its third generation of participants. Prior to the study almost nothing was known about the epidemiology of hypertensive or arteriosclerotic cardiovascular disease. Much of the now-common knowledge concerning heart disease, such as the effects of diet, exercise, and common medications such as aspirin, is based on this longitudinal study. It is a project of the National Heart, Lung, and Blood Institute, in collaboration with Boston University. Various health professionals from the hospitals and universities of Greater Boston staff the project.
Genopolitics is the study of the genetic basis of political behavior and attitudes. It combines behavior genetics, psychology, and political science and it is closely related to the emerging fields of neuropolitics and political physiology.
David G. Rand is the Erwin H. Schell Professor and Professor of Management Science and Brain and Cognitive Sciences at Massachusetts Institute of Technology.
Nicholas A. Christakis is a Greek-American sociologist and physician known for his research on social networks and on the socioeconomic, biosocial, and evolutionary determinants of human welfare. He is the Sterling Professor of Social and Natural Science at Yale University, where he directs the Human Nature Lab. He is also the co-director of the Yale Institute for Network Science.
A biological network is a method of representing systems as complex sets of binary interactions or relations between various biological entities. In general, networks or graphs are used to capture relationships between entities or objects. A typical graphing representation consists of a set of nodes connected by edges.
A weighted network is a network where the ties among nodes have weights assigned to them. A network is a system whose elements are somehow connected. The elements of a system are represented as nodes and the connections among interacting elements are known as ties, edges, arcs, or links. The nodes might be neurons, individuals, groups, organisations, airports, or even countries, whereas ties can take the form of friendship, communication, collaboration, alliance, flow, or trade, to name a few.
The friendship paradox is the phenomenon first observed by the sociologist Scott L. Feld in 1991 that on average, an individual's friends have more friends than that individual. It can be explained as a form of sampling bias in which people with more friends are more likely to be in one's own friend group. In other words, one is less likely to be friends with someone who has very few friends. In contradiction to this, most people believe that they have more friends than their friends have.
Social contagion involves behaviour, emotions, or conditions spreading spontaneously through a group or network. The phenomenon has been discussed by social scientists since the late 19th century, although much work on the subject was based on unclear or even contradictory conceptions of what social contagion is, so exact definitions vary. Some scholars include the unplanned spread of ideas through a population as social contagion, though others prefer to class that as memetics. Generally social contagion is understood to be separate from the collective behaviour which results from a direct attempt to exert social influence.
A number of studies have found that human biology can be linked with political orientation. This means that an individual's biology may predispose them to a particular political orientation and ideology or, conversely, that subscription to certain ideologies may predispose them to measurable biological and health outcomes.
Subjective well-being (SWB) is a self-reported measure of well-being, typically obtained by questionnaire.
A social network is a social structure made up of a set of social actors, sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.
Three degrees of influence is a theory in the realm of social networks, proposed by Nicholas A. Christakis and James H. Fowler in 2007. It has since been explored by scientists in numerous disciplines using diverse statistical, mathematical, psychological, sociological, and biological approaches. Numerous large-scale in-person and online experiments have documented this phenomenon in the intervening years.
Computational social science is an interdisciplinary academic sub-field concerned with computational approaches to the social sciences. This means that computers are used to model, simulate, and analyze social phenomena. It has been applied in areas such as computational economics, computational sociology, computational media analysis, cliodynamics, culturomics, nonprofit studies. It focuses on investigating social and behavioral relationships and interactions using data science approaches, network analysis, social simulation and studies using interactive systems.
Genoeconomics is an interdisciplinary field of protoscience that aims to combine molecular genetics and economics.
ecip t.p. (James H. Fowler) data view (b. 2/18/1970)
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