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There is a growing interest in the field of social sciences in the study of topics related to the so-called gig economy or platform economy and, among them, in the figure of the rider-a term that refers to the home delivery workers employed through digital platforms. In these platforms, the work of the riders is organized from algorithmic management logics, a mediation in which the panoptic quality of their forms of control and governmentality has tended to be emphasized. In contrast to these frameworks, this paper presents a theoretical-methodological approach that emphasizes the co-constitution-in an open agency- of the rider and the application, to ethnographically approach the everyday labor practices of riders. In the interest of exploring how algorithmic mediation functions in the diversity of riders' experiences, we analyze the coordination tasks responsible for producing the shared space-time geography and the flexible control strategies that mediate the application. The text describes how the algorithm generates a kind of scaffolding that defines directive spatiotemporalities in the riders' operations, within which the deliverers extend the landscape of calculability to those elements that the algorithm cannot consider and to those others that the rider must incorporate in order to make his activity compatible with the algorithmic logic. This article presents the initial results of an ethnography carried out in Madrid since September 2021 with riders from several of the main digital home delivery platforms: Glovo, Uber Eats, and Getir . Along with the fieldwork with riders, we interviewed four technologists in urban logistics. The results show that salaried riders have a less intense experience of the directive chronography of the algorithm, showing how autonomy is not necessarily equivalent to the riders' capability to choose. [ABSTRACT FROM AUTHOR]

This paper presents the development an algorithm for computing workloads, supported in the analysis of similar studies and theory study methods and times. The algorithm is proposed as a support for the analysis of the level work assigned to a particular position or a group of workers in a given area, whether in the manufacturing industry or services, which allow to level the workload assigned by defining alternatives that promote increased productivity, promoting improvements in the working environment and working conditions. [ABSTRACT FROM AUTHOR]

During clinical trials it is common to appoint a commission which is in charged of assessing the causality of adverse events which are reported and transcribed to the collection data logbooks. To be able to answer the question: "Does the vaccine under study cause an adverse event.?" different pathways could be taken by decision makers, so it is obvious that the final conclusion could vary too much and a poorly assessment can generate mistaken conclusions. That confirms the need of having a procedure to define which categories must be used to analyze and to classify the relation of causality. To create an algorithm is one answer to the question. We reviewed the literature and did not find any algorithm which could be considered a "master key" to set or to reject causality, so this paper aims at designing an algorithm beginning with the international methodology used in post commercialization. A first proposal was designed which was individually and collectively analyzed by the multi-disciplinary group of the Medical Management from Finlay Institute. Finally, the proposed algorithm was approved by consensus, which could be useful to apply in clinical trials inside and outside of the institution. [ABSTRACT FROM AUTHOR]

In this paper are suggested several possible interpretations to the analogy mentioned by Lévi-Strauss in order to understand totemism as a kind of mental activity, similar to that implicit in Boole's algebra. For such purpose, there is an outline of the boolean representation on Lévi-Strauss proposed general formula of kinship. Ultimately this leads the author to suggest that "savage thinking" is similar to mathematical thought when working with algorithms. [ABSTRACT FROM AUTHOR]

The Geostatistic Simulation is mainly sustained in the generation values from the variability characteristics of the available information of the studied phenomenon, that is the Non Conditional Simulation. These values are conditioned to experimental data, obtaining one of the possible realizations representative fro the studied reality. The generation of simulations is performed observing a fixed covariance function, having several methods in the stochastic processes. One of the most used methods in the Geostatistic Simulation is presented in this paper: the Turning Bands Method for Three Dimensions. [ABSTRACT FROM AUTHOR]