108 research outputs found
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The Limits of Online Price Discrimination in Europe
As big data capabilities have increased, so too has the potential for price discrimination. Price discrimination occurs when sellers offer goods and services at different prices to different consumers. Profiles of consumers can be created based on a variety of factors, such as their location, past purchases or behaviors online, or, more frequently, a large number offactors that, when combined, enables sellers to serve tailored prices based on differences between consumer profiles. In addition to these algorithmic forms of price discrimination, simpler methods are also in use, such as basing prices solely on the basis of a consumerās IP address.
This article aims to provide a comprehensive mapping of the boundaries of online price discrimination in Europe. While few legal provisions speak directly to online price discrimination or personalized pricing, a number of areas of law likely have a bearing on the extent to which price discrimination is legally permitted. As such, this article will examine competition law, consumer protection law, data protection law, and non-discrimination law in order to determine where online price discrimination may constitute noncompliance with one of the relevant provisions, as well as to denote where it appears that the framework is ill-equipped to adequately address the practice. Practical and sociological aspects relating to both online price discrimination and the application of the legal frameworks in these areas are also incorporated
The Role of Privacy-Preserving Technologies in the Age of Big Data
The potential social and economic benefits of big data applications are highlighted by researchers and the media alike. However, they can also have negative implications, which are not limited to privacy issues. With alarming regularity, massive data breaches become public. Measures taken by both policy makers and business leaders do not seem to be effective. Privacy preserving technologies have long been a hot topic in research, but they have not yet been widely integrated into big data solutions. To understand the mechanisms that drive or prevent the deployment of privacy-preserving technologies better, we investigated their effectiveness and the challenges they pose as well as their perception and use in the context of big data. The findings indicate that privacy-preserving technologies are quite mature, have different aims and need to be combined to be effective. The mechanisms that affect their deployment are manifold
EU law and emotion data
This article sheds light on legal implications and challenges surrounding
emotion data processing within the EU's legal framework. Despite the sensitive
nature of emotion data, the GDPR does not categorize it as special data,
resulting in a lack of comprehensive protection. The article also discusses the
nuances of different approaches to affective computing and their relevance to
the processing of special data under the GDPR. Moreover, it points to potential
tensions with data protection principles, such as fairness and accuracy. Our
article also highlights some of the consequences, including harm, that
processing of emotion data may have for individuals concerned. Additionally, we
discuss how the AI Act proposal intends to regulate affective computing.
Finally, the article outlines the new obligations and transparency requirements
introduced by the DSA for online platforms utilizing emotion data. Our article
aims at raising awareness among the affective computing community about the
applicable legal requirements when developing AC systems intended for the EU
market, or when working with study participants located in the EU. We also
stress the importance of protecting the fundamental rights of individuals even
when the law struggles to keep up with technological developments that capture
sensitive emotion data.Comment: 8 pages, 2023 11th International Conference on Affective Computing
and Intelligent Interaction (ACII
Problem formulation in the environmental risk assessment for genetically modified plants
Problem formulation is the first step in environmental risk assessment (ERA) where policy goals, scope, assessment endpoints, and methodology are distilled to an explicitly stated problem and approach for analysis. The consistency and utility of ERAs for genetically modified (GM) plants can be improved through rigorous problem formulation (PF), producing an analysis plan that describes relevant exposure scenarios and the potential consequences of these scenarios. A properly executed PF assures the relevance of ERA outcomes for decision-making. Adopting a harmonized approach to problem formulation should bring about greater uniformity in the ERA process for GM plants among regulatory regimes globally. This paper is the product of an international expert group convened by the International Life Sciences Institute (ILSI) Research Foundation
Upper Limits on a Stochastic Background of Gravitational Waves
The Laser Interferometer Gravitational-Wave Observatory has performed a third science run with much improved sensitivities of all three interferometers. We present an analysis of approximately 200 hours of data acquired during this run, used to search for a stochastic background of gravitational radiation. We place upper bounds on the energy density stored as gravitational radiation for three different spectral power laws. For the flat spectrum, our limit of Ī©_0<8.4Ć10^(-4) in the 69ā156 Hz band is ~10^5 times lower than the previous result in this frequency range
Urban land planning: The role of a Master Plan in influencing local temperatures
Land use planning (LUP) is central for managing issues related to climatic variation in urban environments. However, Master Plans (MPs) usually do not include climatic aspects, and few studies have addressed climate change at the urban scale, especially in developing countries. This paper proposes a framework with ten categories for assessment of climatic variation in urban LUP. Each category comprises attributes that describe a complex of relationships in influencing local temperature variations. They are analyzed for the case of the Master Plan of Porto Alegre (MPPA), the Southernmost metropolis of Brazil. It is concluded that the MPPA is strongly grounded in climate-related land and zoning coordination, but exhibits weaknesses in building, cartographical and social aspects considered synergistically relevant for tackling problems related to urban climate variation. Furthermore, the MPPA does not contain provisions related to monitoring of local climate and greenhouse gases (GHG) emissions and it is ineffective for improving energy efficiency. Specific MPPA failures stemming from these weaknesses include: an increase of 21.79% in the city's urbanized area from 1986 to 2011 to accommodate a similar increase in population, with significant horizontal sprawl; average temperature rise of 0.392. Ā°C from 1991-2000 to 2001-2010, with statistically significant increases in temperature found since 1931; significant vehicle traffic increases, especially since 2007. From these findings, it is possible to conclude that the MPPA does not offer answers to all the imbalances related to land use, and therefore gives insufficient support to tackle the issue of rising temperatures
Limits on Gravitational-Wave Emission from Selected Pulsars Using LIGO Data
We place direct upper limits on the amplitude of gravitational waves from 28 isolated radio pulsars by a coherent multidetector analysis of the data collected during the second science run of the LIGO interferometric detectors. These are the first direct upper limits for 26 of the 28 pulsars. We use coordinated radio observations for the first time to build radio-guided phase templates for the expected gravitational-wave signals. The unprecedented sensitivity of the detectors allows us to set strain upper limits as low as a few times 10^(-24). These strain limits translate into limits on the equatorial ellipticities of the pulsars, which are smaller than 10^(-5) for the four closest pulsars
Assessment of risk of insect-resistant transgenic crops to nontarget arthropods
An international initiative is developing a scientifically rigorous approach to evaluate the potential risks to nontarget arthropods (NTAs) posed by insect-resistant, genetically modified (IRGM) crops. It adapts the tiered approach to risk assessment that is used internationally within regulatory toxicology and environmental sciences. The approach focuses on the formulation and testing of clearly stated risk hypotheses, making maximum use of available data and using formal decision guidelines to progress between testing stages (or tiers). It is intended to provide guidance to regulatory agencies that are currently developing their own NTA risk assessment guidelines for IRGM crops and to help harmonize regulatory requirements between different countries and different regions of the world
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