The Sharing Economy and Consumer Protection Regulation: The Case for Policy Change

In this Paper, we discuss the central benefit of the sharing economy thus far: it has overcome market imperfections without recourse to regulatory bodies prone to capture by entrenched firms. As an introduction to the various issues surrounding this ongoing debate, we begin with an explanation of the sharing economy. Then we review the traditional “consumer protection” rationales for economic regulation and explain why many regulations persist even though their initial justifications are no longer valid. We argue continued application of these outmoded regulatory regimes is likely to harm consumers. In the last section, we explain how the Internet and information technology alleviate the need for much of this top-down regulation and are likely to do a better job of serving consumers. We conclude with some proposals for further research in this area and call for a more informed regulatory approach that accounts for the innovations of the sharing economy. When market circumstances change dramatically--or when new technology or competition alleviate the need for regulation--then public policy should evolve and adapt to accommodate these new realities

How the Internet, the Sharing Economy, and Reputational Feedback Mechanisms Solve the “Lemons Problem”

This paper argues that the sharing economy—through the use of the Internet and real time reputational feedback mechanisms—is providing a solution to the lemons problem that many regulators have spent decades attempting to overcome. Section I provides an overview of the sharing economy and traces its rapid growth. Section II revisits the lemons theory as well as the various regulatory solutions proposed to deal with the problem of asymmetric information. Section III discusses the relationship between reputation and trust and analyzes how reputational incentives affect commercial interactions. Section IV discusses how information asymmetries were addressed in the pre-Internet era. It also discusses how the evolution of both the Internet and information systems (especially the reputational feedback mechanisms of the sharing economy) addresses the lemons problem. Section V explains how these new realities affect public policy and concludes that asymmetric information is not a legitimate rationale for policy intervention in light of technological changes. We also argue that continued use of this rationale to regulate in the name of consumer protection might, in fact, make consumers worse off. This has ramifications for the current debate over regulation of the sharing economy

Uncivil behaviour in the workplace causes mental fatigue and is contagious

Employees on the receiving end tend to ‘pay forward’ the incivility to others, write Christopher C. Rosen, Joel Koopman, Allison S. Gabriel and Russell E. Johnso

“What if There's Something Wrong with Her?”‐How Biomedical Technologies Contribute to Epistemic Injustice in Healthcare

While there is a steadily growing literature on epistemic injustice in healthcare, there are few discussions of the role that biomedical technologies play in harming patients in their capacity as knowers. Through an analysis of newborn and pediatric genetic and genomic sequencing technologies (GSTs), I argue that biomedical technologies can lead to epistemic injustice through two primary pathways: epistemic capture and value partitioning. I close by discussing the larger ethical and political context of critical analyses of GSTs and their broader implications for just and equitable healthcare delivery

Massively parallel C. elegans tracking provides multi-dimensional fingerprints for phenotypic discovery.

BACKGROUND: The nematode worm C. elegans is a model organism widely used for studies of genetics and of human disease. The health and fitness of the worms can be quantified in different ways, such as by measuring their bending frequency, speed or lifespan. Manual assays, however, are time consuming and limited in their scope providing a strong motivation for automation. NEW METHOD: We describe the development and application of an advanced machine vision system for characterising the behaviour of C. elegans, the Wide Field-of-View Nematode Tracking Platform (WF-NTP), which enables massively parallel data acquisition and automated multi-parameter behavioural profiling of thousands of worms simultaneously. RESULTS: We screened more than a million worms from several established models of neurodegenerative disorders and characterised the effects of potential therapeutic molecules for Alzheimer's and Parkinson's diseases. By using very large numbers of animals we show that the sensitivity and reproducibility of behavioural assays is very greatly increased. The results reveal the ability of this platform to detect even subtle phenotypes. COMPARISON WITH EXISTING METHODS: The WF-NTP method has substantially greater capacity compared to current automated platforms that typically either focus on characterising single worms at high resolution or tracking the properties of populations of less than 50 animals. CONCLUSIONS: The WF-NTP extends significantly the power of existing automated platforms by combining enhanced optical imaging techniques with an advanced software platform. We anticipate that this approach will further extend the scope and utility of C. elegans as a model organism

Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration

Background & Aims: Excess liver iron content is common and is linked to hepatic and extrahepatic disease risk. We aimed to identify genetic variants influencing liver iron content and use genetics to understand its link to other traits and diseases. Methods: First, we performed a genome-wide association study (GWAS) in 8,289 individuals in UK Biobank with MRI quantified liver iron, and validated our findings in an independent cohort (n=1,513 from IMI DIRECT). Second, we used Mendelian randomisation to test the causal effects of 29 predominantly metabolic traits on liver iron content. Third, we tested phenome-wide associations between liver iron variants and 770 anthropometric traits and diseases. Results: We identified three independent genetic variants (rs1800562 (C282Y) and rs1799945 (H63D) in HFE and rs855791 (V736A) in TMPRSS6) associated with liver iron content that reached the GWAS significance threshold (p<5x10-8). The two HFE variants account for ~85% of all cases of hereditary haemochromatosis. Mendelian randomisation analysis provided evidence that higher central obesity plays a causal role in increased liver iron content. Phenome-wide association analysis demonstrated shared aetiopathogenic mechanisms for elevated liver iron, high blood pressure, cirrhosis, malignancies, neuropsychiatric and rheumatological conditions, while also highlighting inverse associations with anaemias, lipidaemias and ischaemic heart disease. Conclusion: Our study provides genetic evidence that mechanisms underlying higher liver iron content are likely systemic rather than organ specific, that higher central obesity is causally associated with higher liver iron, and that liver iron shares common aetiology with multiple metabolic and non-metabolic diseases

The determinants of lipid profiles in early adolescence in a Ugandan birth cohort

Dyslipidaemia in adolescence tracks into adulthood and is an important risk factor for cardiovascular disease. Little is known about the effects of environmental exposures and early-life exposure to infectious diseases common to tropical regions on lipids. In 1119 early adolescent participants in the Entebbe Mother and Baby Study, we used linear regression to examine whether prenatal, childhood or adolescent factors are associated with lipid levels. Reduced high-density lipoprotein (HDL) and elevated triglyceride levels were common (prevalence 31% and 14%, respectively), but elevated low-density lipoprotein (LDL) or total cholesterol (TC) were rare. Current malaria infection was associated with lower mean LDL (adjusted ß - 0.51; 95% CI - 0.81, - 0.21), HDL (adjusted ß - 0.40; 95% CI - 0.56, - 0.23), and TC levels (adjusted ß - 0.62; 95% CI - 0.97, - 0.27), but higher mean triglyceride levels (geometric mean ratio (GMR) 1.47; 95% CI 1.18-1.84). Early-life asymptomatic malaria was associated with modest reductions in HDL and TC. Body mass index (BMI) was positively associated with LDL, TC, and triglycerides. No associations with helminth infection were found. Our findings suggest that early-life factors have only marginal effects on the lipid profile. Current malaria infection and BMI are strongly associated with lipids and important to consider when trying to improve the lipid profile