Social Networking Obliterates Etiquette: Thumbs Drum in Rise of Multitasking Rudeness

This pilot study investigates selected etiquette issues that appear to have arisen with the prevalence of hand-held electronic communications. Researchers surveyed college undergraduates, graduates, and faculty about the appropriateness of multitasking when others are present, whether they thank people with a hand-written note, by telephone, or by email, and the appropriateness of their preferred means of saying thank you. This study raises questions about etiquette issues when using electronic communications.

Volume 11, Number 3: September/October 2005

Page 2 – The University and its Libraries celebrate 125 years of growth and service to the citizens of Connecticut. • UConn joins the Center for Research Libraries, the nation’s oldest and most significant library consortium. Page 3 - A profile of Stanley Israelite recounts his civic contributions and his role as a creator of the Dodd Research Center. Page 4 - The Thomas J. Dodd Research Center celebrates its 10th anniversary with a series of special events. • The Pharmacy Library occupies new quarters in UConn’s new Pharmacy/Biology Building. Page 5 - The 2005 Connecticut Children’s Book Fair features a great lineup of authors and illustrators. Page 6 - Staff News • The Wharton Data Research Service is now available for financial research. Page 7 - Donors to the University Libraries, January 1 – June 30, 2005

A Bargaining Model of Holdouts and Takings

The holdout problem is commonly cited as the justification for eminent domain, but the nature of the problem is not well understood. This paper models the holdout problem in a bargaining framework, where a developer seeks to acquire several parcels of land for a large-scale development. We show that in the absence of eminent domain, holdouts are inevitable, threatening costly delay. However, if the developer has the power to use eminent domain to acquire the land from holdouts, all sellers will bargain, thus avoiding delay. An offsetting cost is that owners may negotiate prices below their true value, possibly resulting in excessive transfer of land to the developer.

Computer Simulation of Crowd Dynamics and Destructive Crowd Behavior

The social processes that lead to destructive behavior in celebratory crowds can be studied through an agent-based computer simulation. Riots are an increasingly common outcome of sports celebrations, and pose the potential for harm to participants, bystanders, property, and the reputation of the groups with whom participants are associated. Rioting cannot necessarily be attributed to the negative emotions of individuals, such as anger, rage, frustration and despair. For instance, the celebratory behavior (e.g., chanting, cheering, singing) during UConn’s “Spring Weekend” and after the 2004 NCAA Championships resulted in several small fires and overturned cars. Further, not every individual in the area of a riot engages in violence, and those who do, do not do so continuously. Instead, small groups carry out the majority of violent acts in relatively short-lived episodes. Agent-based computer simulations are an ideal method for modeling complex group-level social phenomena, such as celebratory gatherings and riots, which emerge from the interaction of relatively “simple” individuals. By making simple assumptions about individuals’ decision-making and behaviors and allowing actors to affect one another, behavioral patterns emerge that cannot be predicted by the characteristics of individuals. The computer simulation developed here models celebratory riot behavior by repeatedly evaluating a single algorithm for each individual, the inputs of which are affected by the characteristics of nearby actors. Specifically, the simulation assumes that (a) actors possess 1 of 5 distinct social identities (group memberships), (b) actors will congregate with actors who possess the same identity, (c) the degree of social cohesion generated in the social context determines the stability of relationships within groups, and (d) actors’ level of aggression is affected by the aggression of other group members. Not only does this simulation provide a systematic investigation of the effects of the initial distribution of aggression, social identification, and cohesiveness on riot outcomes, but also an analytic tool others may use to investigate, visualize and predict how various individual characteristics affect emergent crowd behavior.