June 22-24, 2017 • Dartmouth College • Hanover, New Hampshire
Affect control theory (ACT) examines how sentiment norms – our culturally shared meanings for particular types of actors, behaviors, emotions, and social settings – organize social life and direct us toward a mutual interpretive framework for interaction. As common cultural knowledge, sentiment norms allow us to plan for, interpret, and effectively respond to social events, based on our impressions of who has done what to whom. By measuring both normative sentiments and how these sentiments shift when they combine in the context of social events, affect control theorists have built causal models of the relationship between interpretations of events and patterns of social action (Heise 1979, 2007; MacKinnon 1994). These "impression change" models were first developed in the late 1970s, and have been used in conjunction with data about cultural sentiment norms to run mathematical simulations of social interaction. Event simulations generate testable predictions about behavioral and emotional responses to social events, which have been supported by extensive survey, experimental, and naturalistic evidence in a research program spanning several decades (e.g., Robinson and Smith-Lovin 1992; Smith-Lovin and Douglass 1992; Smith-Lovin and Heise 1988).
Friday, May 12 through the afternoon of Monday, May 15
Retreat on multiply instantiated institutions
The Science of Counter Earth Workshop will unify disparate communities
around an established common interest in using empirical methods, computational techniques, and "multiply instantiated institutions" to ask big, system-scale questions about the design and analysis of human institutions. Multiply instantiated institutions are modern, human-engineered, data-rich, template-constrained, replicable social systems that are large-n, large-scale, and quantitatively comparable. The goals of the workshop are community building and the celebration of big unifying ideas.
This event is generously being supported by the William H. Neukom Institute
for Computational Science at Dartmouth College.
June 4 - 5, 2017 at Dartmouth College in Hanover, NH
Sponsored by the Neukom Institute for Computational Science
The staggering uptake of Unmanned Aerial Systems (sUAS) commonly referred to as drones has led some to coin the term ‘the Drone Age’ in reference to the current era [Economist 2015]. In parallel, the integration of Structure from Motion (SfM) and multi-view stereo (MVS) algorithms into the standard workflow of digital photogrammetry has led to a series of software products that can restitute topography from imagery with an unprecedented level of automation and ease. The result for the environmental monitoring community has been a democratization of high-resolution 3D spatial data collection, which has transformed how researchers can document and visualize environmental processes and change at a wide range of spatial and temporal scales.