CERCLA: A Case Study of Local Government Involvement in the Decision-Making Process in Colorado

The Comprehensive Environmental Response, Compensation and Liability Act (CERCLA) of 1980, and the Superfund Amendments and Reauthorization Act (SARA) of 1986 strengthen roles of the community in the CERCLA process. Many layers of bureaucracy and the complexity of regulations make the implementation and enforcement of environmental policy a burdensome process. Local government, the public and private corporations have a critical role in the CERCLA decision-making process by implementing a comprehensive public participation process. This paper examines a case study in which a local Colorado health department implemented a successful public participation process in order to positively affect the remediation decision-making process.

Enrichment of the Phenotypic and Genotypic Data Warehouse analysis using Question Answering systems to facilitate the decision making process in cereal breeding programs

Currently there are an overwhelming number of scientific publications in Life Sciences, especially in Genetics and Biotechnology. This huge amount of information is structured in corporate Data Warehouses (DW) or in Biological Databases (e.g. UniProt, RCSB Protein Data Bank, CEREALAB or GenBank), whose main drawback is its cost of updating that makes it obsolete easily. However, these Databases are the main tool for enterprises when they want to update their internal information, for example when a plant breeder enterprise needs to enrich its genetic information (internal structured Database) with recently discovered genes related to specific phenotypic traits (external unstructured data) in order to choose the desired parentals for breeding programs. In this paper, we propose to complement the internal information with external data from the Web using Question Answering (QA) techniques. We go a step further by providing a complete framework for integrating unstructured and structured information by combining traditional Databases and DW architectures with QA systems. The great advantage of our framework is that decision makers can compare instantaneously internal data with external data from competitors, thereby allowing taking quick strategic decisions based on richer data.

Sport-Specific Practice and the Development of Expert Decision-Making in Team Ball Sports

The role of sport-specific practice in the development of decision-making expertise in the sports of field hockey, netball, and basketball was examined. Fifteen expert decision-makers and 13 experienced non-expert athletes provided detailed information about the quantity and type of sport-specific and other related practice activities they had undertaken throughout their careers. Experts accumulated more hours of sport-specific practice from age 12 years onwards than did non-experts, spending on average some 13 years and 4,000 hours on concentrated sport-specific practice before reaching international standard. A significant negative correlation existed between the number of additional activities undertaken and the hours of sportspecific training required before attaining expertise, suggesting a functional role for activities other than sport-specific training in the development of expert decision-making.

The Contribution of Structured Activity and Deliberate Play to the Development of Expert Perceptual and Decision-Making Skill

The developmental histories of 32 players in the Australian Football League (AFL), independently classified as either expert or less skilled in their perceptual and decision- making skills, were collected through a structured interview process and their year-on-year involvement in structured and deliberate play activities retrospectively determined. Despite being drawn from the same elite level of competition, the expert decision-makers differed from the less skilled in having accrued, during their developing years, more hours of experience in structured activities of all types, in structured activities in invasion-type sports, in invasion-type deliberate play, and in invasion activities from sports other than Australian football. Accumulated hours invested in invasion-type activities differentiated between the groups, suggesting that it is the amount of invasion-type activity that is experienced and not necessarily intent (skill development or fun) or specificity that facilitates the development of perceptual and decision-making expertise in this team sport.

The Optimality of Decision Making During Motor Learning

In our daily lives, we often must predict how well we are going to perform in the future based on an evaluation of our current performance and an assessment of how much we will improve with practice. Such predictions can be used to decide whether to invest our time and energy in learning and, if we opt to invest, what rewards we may gain. This thesis investigated whether people are capable of tracking their own learning (i.e. current and future motor ability) and exploiting that information to make decisions related to task reward. In experiment one, participants performed a target aiming task under a visuomotor rotation such that they initially missed the target but gradually improved. After briefly practicing the task, they were asked to select rewards for hits and misses applied to subsequent performance in the task, where selecting a higher reward for hits came at a cost of receiving a lower reward for misses. We found that participants made decisions that were in the direction of optimal and therefore demonstrated knowledge of future task performance. In experiment two, participants learned a novel target aiming task in which they were rewarded for target hits. Every five trials, they could choose a target size which varied inversely with reward value. Although participants’ decisions deviated from optimal, a model suggested that they took into account both past performance, and predicted future performance, when making their decisions. Together, these experiments suggest that people are capable of tracking their own learning and using that information to make sensible decisions related to reward maximization.

Bridging qualified majority and unanimity decision-making in the EU. IHS Political Science Series No. 132, February 2013

The EU has tried to bridge decision making by qualified majority and unanimity over the years by expanding qualified majorities (consensus) or by making unanimities easier to achieve. I call this decision-making procedure q-“unanimity” and trace its history from the Luxembourg compromise to the Lisbon Treaty, and to more recent agreements. I analyze the most recent and explicit mechanism of this bridging (article 31 (2) of the Lisbon Treaty) and identify one specific means by which the transformation of qualified majorities to unanimities is achieved: the reduction of precision or scope of the decision, so that different behaviors can be covered by it. I provide empirical evidence of such a mechanism by analyzing legislative decisions. Finally, I argue that this bridging is a ubiquitous feature of EU institutions, used in Treaties as well as in legislative decision-making.

Improving decision-making in the EU. CHALLENGE EUROPE Issue 22 - Challenges and new beginnings: Priorities for the EU's new leadership, September 2014.

The multiple crises the European Union (EU) has experienced in recent years have fundamentally altered decision-making and, more broadly, governance in the EU. Pre-crisis systems and processes were not adequate to react to such critical and systemic challenges, but the speed of the crisis meant that new governance mechanisms have been superimposed on existing processes and structures rather than seeing a fundamental reform of decision-making. Consequently, not all changes have been fully successful. Given the institutional changes this year and the ongoing development of the EMU governance framework, now presents a good opportunity to reform EU decision-making.