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How Did American International Political Economy Become Reductionist? A Historiography of a Discipline  

W. Kindred Winecoff

First-wave international political economy (IPE) was preoccupied with the “complex interdependencies” within a world system that (it believed) was rapidly devolving following the 1971 collapse of the Bretton Woods system of fixed exchange rates. The original IPE scholars were more dedicated to theorizing about the emergence and evolution of global systems than any strict methodology. As IPE developed, it began to emphasize the possibility that institutions could promote cooperation in an anarchic environment, so IPE scholarship increasingly studied the conditions under which these institutions might emerge. Second-wave IPE scholars began to focus on the domestic “level of analysis” for explanatory power, and in particular analyzed the role of domestic political institutions in promoting global economic cooperation (or conflict). They also employed a “second-image reversed” paradigm in which the international system was treated as an explanatory variable that influenced the domestic policymaking process. In opening up the “black box” of domestic politics, in particular as it pertained to foreign economic policy, the “American school” of IPE thoroughly explored the terrain with regression-based statistical models that assume observational independence. As a result, complex interdependencies in the global system were increasingly ignored. Over time the analytical focus progressively shifted to micro-level units—firms and individuals, whenever possible—using neoclassical economic theory as its logical underpinning (with complications for political factors). This third wave of IPE, “open economy politics,” has been criticized in the post-crisis period for its narrow focus, rigid methodology, and lack of systemic theory. Leading scholars have called modern IPE “boring,” “deplorable,” “myopic,” and “reductionist,” among other epithets. A “fourth-wave” of IPE must retain its strong commitment to empiricism while re-integrating systemic processes into its analysis. A new class of complex statistical models is capable of incorporating interdependencies as well as domestic- and individual-level processes into a common framework. This will allow scholars to model the global political economy as an interdependent system consisting of multiple strata.

Article

Managing Critical Infrastructures in Crisis  

Louise K. Comfort

The management of critical infrastructures presents a specific set of challenges to crisis managers. Critical infrastructures include electrical power; communications; transportation; and water, wastewater, and gas line distribution systems. Designed for efficiency, these technical systems operate interdependently, thus making them vulnerable to the stress of extreme events. Changes in population, demographics, land use, and economic and social conditions of communities exposed to hazards have resulted in a significantly increased number of people dependent on critical infrastructures in regions at risk. Advances in science, technology, and engineering have introduced new possibilities for the redesign, maintenance, and retrofit of built infrastructure to withstand extreme events. However, most public and private agencies are not capable of anticipating the potential risk and making investments needed to upgrade infrastructures before damage occurs. Computational modeling facilitates the exploration of alternative approaches to managing risk. Sensors, telemetry, and graphic display of changing performance for critical infrastructure provide accurate information to reduce uncertainty in crisis events. These technologies enable crisis managers to track more accurately the impact of extreme events on the populations and infrastructures of communities at risk and to anticipate the likely consequences of future hazardous events. Crisis managers strive to create a continual learning process that enables residents to monitor their changing environment, use systematically collected data as the basis for analysis and change, and modify policies and practice based on valid evidence from actual environments at risk. For communities seeking to reduce risk, investment in information technologies to enable rapid, community-wide access to interactive communication constitutes a major step toward building capacity not only for managing risk to critical infrastructure but also in maintaining continuity of operations for the whole community in extreme events.