Innovation, Regulation and the Selection Environment

This article focuses on the question of how regulation can be best designed to encourage technological innovation. Most scholarship in this area applies standard economic analysis to evaluate the impact of various forms of regulation on technological innovation. We reject that approach as too narrow, drawing instead upon principles of evolutionary economics. The basic premise of the article is that a firm’s technology choices—and its response to regulation intended to shape those choices—are influenced by other actors (such as suppliers and competitors), by external social and legal institutions (e.g., industry standards and norms) and by the firms\u27 internal structure (such as communication channels.) Regulators seeking to encourage innovation must first understand the industry sector\u27s selection environment; that is, the socio-economic environment created by that network of actors, institutions, and routines. We demonstrate the selection environment approach in a case study of the dry cleaning sector, a leading source of toxic emissions in Southern California. Professional drycleaners have been slow to adopt alternative non-polluting cleaning technologies. Relying upon surveys and interviews we conducted of cleaners, equipment vendors, and regulators, we construct a conceptual model of the sector\u27s selection environment. We then use that model to identify barriers to innovation, and to evaluate several policy tools intended to overcome those barriers. Our analysis is a cautionary tale for those who support broad use of market-based regulation such as economic incentives and information strategies. In the selection environment we studied, traditional command and control regulation is likely to lead to broader diffusion of the new environmentally-beneficial cleaning technologies than market-based approaches, and at less social cost

Advancing Alternative Analysis: Integration of Decision Science.

Decision analysis-a systematic approach to solving complex problems-offers tools and frameworks to support decision making that are increasingly being applied to environmental challenges. Alternatives analysis is a method used in regulation and product design to identify, compare, and evaluate the safety and viability of potential substitutes for hazardous chemicals.Assess whether decision science may assist the alternatives analysis decision maker in comparing alternatives across a range of metrics.A workshop was convened that included representatives from government, academia, business, and civil society and included experts in toxicology, decision science, alternatives assessment, engineering, and law and policy. Participants were divided into two groups and prompted with targeted questions. Throughout the workshop, the groups periodically came together in plenary sessions to reflect on other groups' findings.We conclude the further incorporation of decision science into alternatives analysis would advance the ability of companies and regulators to select alternatives to harmful ingredients, and would also advance the science of decision analysis.We advance four recommendations: (1) engaging the systematic development and evaluation of decision approaches and tools; (2) using case studies to advance the integration of decision analysis into alternatives analysis; (3) supporting transdisciplinary research; and (4) supporting education and outreach efforts

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Nanotechnology Regulation: A Study in Claims Making

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