Data standardization

With data rapidly becoming the lifeblood of the global economy, the ability to improve its use significantly affects both social and private welfare. Data standardization is key to facilitating and improving the use of data when data portability and interoperability are needed. Absent data standardization, a “Tower of Babel” of different databases may be created, limiting synergetic knowledge production. Based on interviews with data scientists, this Article identifies three main technological obstacles to data portability and interoperability: metadata uncertainties, data transfer obstacles, and missing data. It then explains how data standardization can remove at least some of these obstacles and lead to smoother data flows and better machine learning. The Article then identifies and analyzes additional effects of data standardization. As shown, data standardization has the potential to support a competitive and distributed data collection ecosystem and lead to easier policing in cases where rights are infringed or unjustified harms are created by data-fed algorithms. At the same time, increasing the scale and scope of data analysis can create negative externalities in the form of better profiling, increased harms to privacy, and cybersecurity harms. Standardization also has implications for investment and innovation, especially if lock-in to an inefficient standard occurs. The Article then explores whether market-led standardization initiatives can be relied upon to increase welfare, and the role governmental-facilitated data standardization should play, if at all

Cheese: Food Perception and Food Choice

In light of the increasing interest in the economic and socio-political impact of the ‘traditional food’ trend, it is essential to understand the determinant factors that lead to traditional consumer choices. The standardization of sensory quality evaluation methods marks the pressing need for food product certification, particularly foods with specific sensory characteristics, such as those with a Protected Designation of Origin (PDO). Consumer perception of particular foods, especially for foods that are culturally and socially contingent, such as cheese, must be understood as both a psychophysical reflex and a learned social practice. Consumers create their own perceptions based on the overall intrinsic or extrinsic cheese characteristics, mainly sensory characteristics that reflect others' attributes. These characteristics are normally linked to the specific cheese manufacture process. Some patents propose the use of adapted cheesemaking equipment (EP1982582A2), suitable for the manufacture of small-scale cheeses, such as some PDO cheese. Thus, sensory evaluation of any kind of cheese is based, in the initial phase, on knowledge of the sensory methods for cheese evaluation and, in a second phase, on the familiarity of the cheese characteristics and verbalization of desirable and undesirable attributes. This paper presents a case study based on the traditional food product, Évora cheese, assembled with PDO cheeses, whose sensory and physicochemical quality attributes are essential in order to obtain this designation and ensure the genuine properties that characterize them, as well as ascertaining exactly how they are perceived and further accepted by the consumer

The Future of Human Resources: A Shift to a Network Driven Approach

[Excerpt] As companies continue to thrive in a global context, the nature of work and organizational relationships will grow increasingly complex. Initiatives will span across traditional functional and geographical boundaries, heightening the need for greater knowledge sharing and collaboration. With a higher premium placed on achieving flexibility and agility, organizations that rely on strong internal networks have been more successful at coordinating efficiency and innovation. From a talent management perspective, organizations will need to adopt a more network-centric approach to foster leadership effectiveness within this new context. Just as the human resources arena has recently evolved from an individual-focused, personnel-service mindset to a team-oriented framework, the next decade may require human capital strategies to further shift to a network-driven mentality

A Survey of Green Networking Research

Reduction of unnecessary energy consumption is becoming a major concern in wired networking, because of the potential economical benefits and of its expected environmental impact. These issues, usually referred to as "green networking", relate to embedding energy-awareness in the design, in the devices and in the protocols of networks. In this work, we first formulate a more precise definition of the "green" attribute. We furthermore identify a few paradigms that are the key enablers of energy-aware networking research. We then overview the current state of the art and provide a taxonomy of the relevant work, with a special focus on wired networking. At a high level, we identify four branches of green networking research that stem from different observations on the root causes of energy waste, namely (i) Adaptive Link Rate, (ii) Interface proxying, (iii) Energy-aware infrastructures and (iv) Energy-aware applications. In this work, we do not only explore specific proposals pertaining to each of the above branches, but also offer a perspective for research.Comment: Index Terms: Green Networking; Wired Networks; Adaptive Link Rate; Interface Proxying; Energy-aware Infrastructures; Energy-aware Applications. 18 pages, 6 figures, 2 table

A Proposal for Semantic Map Representation and Evaluation

Semantic mapping is the incremental process of “mapping” relevant information of the world (i.e., spatial information, temporal events, agents and actions) to a formal description supported by a reasoning engine. Current research focuses on learning the semantic of environments based on their spatial location, geometry and appearance. Many methods to tackle this problem have been proposed, but the lack of a uniform representation, as well as standard benchmarking suites, prevents their direct comparison. In this paper, we propose a standardization in the representation of semantic maps, by defining an easily extensible formalism to be used on top of metric maps of the environments. Based on this, we describe the procedure to build a dataset (based on real sensor data) for benchmarking semantic mapping techniques, also hypothesizing some possible evaluation metrics. Nevertheless, by providing a tool for the construction of a semantic map ground truth, we aim at the contribution of the scientific community in acquiring data for populating the dataset