Dataset Information

Soft Regulation with Crowd Recommendation: Coordinating Self-Interested Agents in Sociotechnical Systems under Imperfect Information.

ABSTRACT: Regulating emerging industries is challenging, even controversial at times. Under-regulation can result in safety threats to plant personnel, surrounding communities, and the environment. Over-regulation may hinder innovation, progress, and economic growth. Since one typically has limited understanding of, and experience with, the novel technology in practice, it is difficult to accomplish a properly balanced regulation. In this work, we propose a control and coordination policy called soft regulation that attempts to strike the right balance and create a collective learning environment. In soft regulation mechanism, individual agents can accept, reject, or partially accept the regulator's recommendation. This non-intrusive coordination does not interrupt normal operations. The extent to which an agent accepts the recommendation is mediated by a confidence level (from 0 to 100%). Among all possible recommendation methods, we investigate two in particular: the best recommendation wherein the regulator is completely informed and the crowd recommendation wherein the regulator collects the crowd's average and recommends that value. We show by analysis and simulations that soft regulation with crowd recommendation performs well. It converges to optimum, and is as good as the best recommendation for a wide range of confidence levels. This work sheds a new theoretical perspective on the concept of the wisdom of crowds.

SUBMITTER: Luo Y

PROVIDER: S-EPMC4792447 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Publications

Soft Regulation with Crowd Recommendation: Coordinating Self-Interested Agents in Sociotechnical Systems under Imperfect Information.

Luo Yu Y Iyengar Garud G Venkatasubramanian Venkat V

PloS one 20160315 3

Regulating emerging industries is challenging, even controversial at times. Under-regulation can result in safety threats to plant personnel, surrounding communities, and the environment. Over-regulation may hinder innovation, progress, and economic growth. Since one typically has limited understanding of, and experience with, the novel technology in practice, it is difficult to accomplish a properly balanced regulation. In this work, we propose a control and coordination policy called soft regu ...[more]

PMID: 26977699

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Project description:Modelling cultural ecosystem services is an enduring challenge, raising issues about the integration and spatialization of immaterial values and benefits, and their contingency on local preferences. Building on the Recreation Opportunity Spectrum framework, we present a novel methodology for assessing the recreation service using GPS tracks downloaded from crowd-sourced websites: the Grelou model (Georeferencing REcreation in Local OUtdoors), here applied to the Grenoble living area (French Alps). GPS tracks revealed the complete spatial extent of visitor presence and enabled modelling visitation networks for ten recreation activities with great spatial accuracy, thus providing a spatial estimate of recreational multifunctionality-expressed as the sum of networks. After coupling track networks with landscape preference and proximity factors, Grelou assessed the recreation service as a combination of opportunity and preferences, and identified recreation hotspots of different profiles such as aroundoor leisure or outdoor sport. We performed an online survey among local sports associations using an interactive map to select districts visited by respondents (~1000 people). The declared visitor presence for recreation purposes was highly spatially congruent with Grelou outputs (R2 = 0.89). Detailed analysis of responses on selection criteria for recreationists validates our choice of critical factors underlying both the recreation opportunity potential and the expected visitation frequency over the whole study area. We also analyzed outputs of the InVESt recreation model against the same visitation explanatory factors. Differences between the two models allowed us to pinpoint biases and weaknesses in the InVESt recreation modelling framework based on crowd-sourced photographs. By making use of an increasingly available data source (GPS tracks), Grelou offers a standardized and flexible way to assess the recreation service associated with multiple recreation practices. Its high spatial accuracy supports the analysis of spatial relationships with other ecoystems services and the integration of recreation into environmental assessments, land management and planning.

Project description:BACKGROUND:More and more Veterans are receiving care from community providers, increasing the need for effective coordination across health systems. For Veterans with chronic obstructive pulmonary disease (COPD), this need is intensified by complex comorbidity patterns that often include multiple providers co-managing patient care. OBJECTIVES:We sought to understand how VA providers perceive coordination with community providers for Veterans with COPD. DESIGN:Qualitative study of VA providers. METHODS:We selected six geographically diverse VA sites and conducted semi-structured telephone interviews with providers practicing in inpatient and/or outpatient settings who care for Veterans with COPD. MAIN MEASURES:Interviews focused on communication with community providers about discharge information and clinic management. We analyzed responses according to the principles of conventional content analysis, allowing inductive themes to emerge. KEY RESULTS:We interviewed 25 providers during the period of June to October 2017. Qualitative data analysis yielded five themes: (1) VA providers perceive communication challenges between VA and community providers, including difficult, inadequate, and delayed communication; (2) communication is facilitated by personal relationships across health systems; (3) the lack of electronic health record (EHR) interoperability impairs communication, resulting in transmission of unstructured data; (4) poor communication leads to duplicative efforts and wasted resources; and (5) providers frequently rely on patients to communicate about care taking place in the community. CONCLUSIONS:VA providers described major challenges in coordinating with community providers, leading to perceptions of delayed, missed, or duplicative care and jeopardizing the overall quality, safety, and efficiency of Veteran care. Our study highlights the need for system-level solutions to support coordination across health systems for Veterans with COPD and may have implications for other conditions that lead to recurrent hospitalization and/or care in the community.

Dataset Information

Soft Regulation with Crowd Recommendation: Coordinating Self-Interested Agents in Sociotechnical Systems under Imperfect Information.

Publications

Soft Regulation with Crowd Recommendation: Coordinating Self-Interested Agents in Sociotechnical Systems under Imperfect Information.

Similar Datasets

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