The challenge of meeting human development needs while protecting the earth's life support systems confronts scientists, technologists, policy makers, and communities from local to global levels. Many believe that science and technology (S&T) must play a more central role in sustainable development, yet little systematic scholarship exists on how to create institutions that effectively harness S&T for sustainability. This study suggests that efforts to mobilize S&T for sustainability are more likely to be effective when they manage boundaries between knowledge and action in ways that simultaneously enhance the salience, credibility, and legitimacy of the information they produce. Effective systems apply a variety of institutional mechanisms that facilitate communication, translation and mediation across boundaries.

The boundary between science and policy is only one of several boundaries that hinder the linking of scientific and technical information to decision making. Managing boundaries between disciplines, across scales of geography and jurisdiction, and between different forms of knowledge is also often critical to transferring information. The research presented in this paper finds that information requires three (not mutually exclusive) attributes -salience, credibility, and legitimacy -and that what makes boundary crossing difficult is that actors on different sides of a boundary perceive and value salience, credibility, and legitimacy differently. Presenting research on water management regimes in the United States, international agricultural research systems, El Niño forecasting systems in the Pacific and southern Africa, and fisheries in the North Atlantic, this paper explores: 1) how effective boundary work involves creating salient, credible, and legitimate information simultaneously for multiple audiences; 2) the thresholds, complementarities and tradeoffs between salience, credibility, and legitimacy when crossing boundaries; and 3) propositions for institutional mechanisms in boundary organizations which effectively balance tradeoffs, take advantage on complementarities, and reach thresholds of salience, credibility, and legitimacy.

The challenge confronting those seeking to understand the institutional dimensions of global environmental change and patterns of land-use and land-cover change is to find effective methods for analyzing the dynamics of socio-ecological systems. Such systems exhibit a number of characteristics that pose problems for the most commonly used statistical techniques and may require additional and innovative analytic tools. This article explores options available to researchers working in this field and recommends a strategy for achieving scientific progress. Statistical procedures developed in other fields of study are often helpful in addressing challenges arising in research into global change. Accordingly, we start with an assessment of some of the enhanced statistical techniques that are available for the study of socioecological systems. By themselves, however, even the most advanced statistical models cannot solve all the problems that arise in efforts to explain institutional effectiveness and patterns of land-use and landcover change. We therefore proceed to an exploration of additional analytic techniques, including configurational comparisons and meta-analyses; case studies, counterfactuals, and narratives; and systems analysis and simulations. Our goal is to create a portfolio of complementary methods or, in other words, a tool kit for understanding complex human-environment interactions. When the results obtained through the use of two or more techniques converge, confidence in the robustness of key findings rises. Contradictory results, on the other hand, signal a need for additional analysis.

No abstract