New Orleans 'Green Dot Map' Plan
Bruno Latour and other proponents of Actor Network Theory (ANT) focus on interactions between and among actors (people) and actants (things) in a network intended to build knowledge. Emerging nodes and clusters, where interactivity is greatest, define where knowledge is extended. Thoughts of social context and varying goals in ANT are not considered important, or useful, in extending knowledge. Unfortunately, when difference is not examined some potential influences are missed, and knowledge is not extended everywhere, or as far as, it could.
In her article, Modernity's Misleading Dream: Latour, Sandra Harding points to a defined need within ANT to externalize social thought. She indicates that Latour does acknowledge a need to link the philosophies of science with political science to succeed with his three-step process translating power to the lab. This is true because political power is a source of influence that can help in growing the influence of the ‘important’ actors in the network, meaning scientists. Making the border between the laboratory and the world permeable enough to be able to extend the lab and incorporate the field-site is a critical step that requires some translation of political power.
Latour’s need for unity in purpose, a common world, blinds him to differences according to Harding. This matters in part because when there is a multiplicity of interests and beliefs, those interests spawn more criteria to help define success. Narrowing criteria may allow the definer of the criteria, the scientist, to claim success, while many others may see failure. This tension between definitions of success and failure risks future political support, or power, and ultimately weakens the scientific community, or at least the specific lab involved.
Barbara Allen’s example of the Holy Cross neighborhood in New Orleans post Hurricane Katrina is a stark example. She examines rebuilding efforts in her study Neighborhood as 'Green Laboratory'. The interests of organizations of the green industry translated their goals onto residents who out of desperation, or perhaps through manipulation, were willing to shift their goals of rebuilding their homes and community into the language of environmental goals. In mapping Latour’s ANT model onto the circumstances of the Holy Cross rebuild, Allen shows how the goal of rebuilding homes using green technology, though laudable, only represented half of the goals of the local residents.
Because success was defined in terms of homes built in the new way using green technology, community plans did not include economic infrastructure. This may, at least in part, explain why many homes continue vacant and not repaired. Other symptoms such as the reemergence of drug dealing, a lack of jobs, and no grocery stores in the district point to unintended consequences resultant from the narrowing of project goals too far. Turning a blind eye to some important social factors that were a part of the original community context helped to a certain point such as securing funds, materials and expertise, but an opportunity was lost to more significantly impact the community in positive way. In fact, some residents could argue they are worse off than before the project in that they now have a group of homes rather than a community like had existed before the hurricane.
The ability of scientists, or any other group, to define desired outcomes from purely science-related or technology-related goals can make the group successful in its defined criteria. Unfortunately, like the generals who win battles and lose wars, by ignoring success criteria of other groups involved in a given project, science may miss as much knowledge as it gains. Worse, it may come to conclusions that are at least partially incorrect.
In her article, Modernity's Misleading Dream: Latour, Sandra Harding points to a defined need within ANT to externalize social thought. She indicates that Latour does acknowledge a need to link the philosophies of science with political science to succeed with his three-step process translating power to the lab. This is true because political power is a source of influence that can help in growing the influence of the ‘important’ actors in the network, meaning scientists. Making the border between the laboratory and the world permeable enough to be able to extend the lab and incorporate the field-site is a critical step that requires some translation of political power.
Latour’s need for unity in purpose, a common world, blinds him to differences according to Harding. This matters in part because when there is a multiplicity of interests and beliefs, those interests spawn more criteria to help define success. Narrowing criteria may allow the definer of the criteria, the scientist, to claim success, while many others may see failure. This tension between definitions of success and failure risks future political support, or power, and ultimately weakens the scientific community, or at least the specific lab involved.
Barbara Allen’s example of the Holy Cross neighborhood in New Orleans post Hurricane Katrina is a stark example. She examines rebuilding efforts in her study Neighborhood as 'Green Laboratory'. The interests of organizations of the green industry translated their goals onto residents who out of desperation, or perhaps through manipulation, were willing to shift their goals of rebuilding their homes and community into the language of environmental goals. In mapping Latour’s ANT model onto the circumstances of the Holy Cross rebuild, Allen shows how the goal of rebuilding homes using green technology, though laudable, only represented half of the goals of the local residents.
Because success was defined in terms of homes built in the new way using green technology, community plans did not include economic infrastructure. This may, at least in part, explain why many homes continue vacant and not repaired. Other symptoms such as the reemergence of drug dealing, a lack of jobs, and no grocery stores in the district point to unintended consequences resultant from the narrowing of project goals too far. Turning a blind eye to some important social factors that were a part of the original community context helped to a certain point such as securing funds, materials and expertise, but an opportunity was lost to more significantly impact the community in positive way. In fact, some residents could argue they are worse off than before the project in that they now have a group of homes rather than a community like had existed before the hurricane.
The ability of scientists, or any other group, to define desired outcomes from purely science-related or technology-related goals can make the group successful in its defined criteria. Unfortunately, like the generals who win battles and lose wars, by ignoring success criteria of other groups involved in a given project, science may miss as much knowledge as it gains. Worse, it may come to conclusions that are at least partially incorrect.
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