By David J. Hess
In substitute Pathways in technology and undefined, David Hess examines how social events and other kinds of activism have an effect on innovation in technological know-how, know-how, and undefined. Synthesizing and increasing paintings in social reports of technology and expertise, social hobbies, and globalization, Hess explores the interplay of grassroots environmental motion and mainstream and gives a conceptual framework for realizing it.Hess proposes a conception of medical and technological swap that considers the jobs that either and grassroots shoppers play in surroundings the examine time table in technology and expertise, and he identifies "alternative pathways" through which social activities can effect clinical and technological innovation. He analyzes 4 of those pathways: business competition hobbies, prepared opposed to distinct applied sciences (as within the crusade opposed to nuclear energy); know-how- and product-oriented activities, which press for choices (as does the natural meals movement); localism, which promotes neighborhood possession (as in "buy-local" campaigns); and entry pathways, which help a extra equitable distribution of assets. inside of each one pathway, Hess examines reforms in 5 various components: agriculture, power, waste and production, infrastructure, and finance. The book's theoretical argument and empirical proof display the complicated development of incorporation (of grassroots ideas) and transformation (of substitute possession constructions and the choice items themselves) that has characterised the connection of and activism. Hess's research of replacement pathways to alter indicates methods fiscal businesses may well shift to a extra simply and sustainable direction within the twenty-first century.
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Extra info for Alternative Pathways in Science and Industry: Activism, Innovation, and the Environment in an Era of Globalization (Urban and Industrial Environments)
The long tradition of conventionalism, which dates back to the early-twentieth-century French scientists Henri Poincaré and Pierre Duhem, argues that methods and observations are only interpretable within a theoretical system. Furthermore, because theories can be adjusted to new data, it is not easy to design a crucial experiment or decide upon a crucial observation that would allow a clear choice between two broad theoretical systems. 5 A conventionalist approach to knowledge change has the advantage of bringing the model closer to scientific practice and recognizing that new empirical observations do not easily resolve major theoretical controversies, especially when large networks of scientists have substantial intellectual and material investments in existing theoretical systems and associated research programs.
It is not necessary to enter into the question of whether the high use of a scientist’s research is caused by the scientist’s successful marketing, strong social networks, and impeccable pedigree, or because the research happens to represent a portion of the world in an accurate and novel way. 14 The work of Bourdieu and Latour and Woolgar helped to undermine the autonomy assumption by opening up the reward system to include material capital and by showing how in a sense the goal of the scientific 32 Chapter 1 game is to accumulate a high mix of both symbolic capital (citations, prizes, prestigious appointments, and successful students) and material capital (grants, laboratory space, equipment, postdocs, and graduate student research assistants).
The accumulation of reputation or credibility is concretized in the curriculum vitae and can be traded as collateral for material resources for future research. In other words, as the reputation or track record of a scientist increases, it generally becomes easier to obtain larger grants, better positions, higher salaries, lower teaching loads, better graduate students, and better physical research space and equipment. ”13 The increasing-returns dynamic of the Latour-Woolgar model was anticipated somewhat by Merton’s cumulative advantage theory of scientific careers—the idea that in science the rich (in prestige) get richer and the poor get huge teaching loads—but the Latour-Woolgar model suggests that increasing returns would operate regardless of the starting point.