Search

The article is a result of a complementary advanced publication workshop accompanying the curriculum course exercises for PhD students, on the role of ICT in the research work of a scientist. To fulfill the extended course requirements the participants decided to write relevant paper, if possible, related to their individual research endeavors and their relations to the digital world. The paper consists of a collection of short chapters written by young researchers. They express their own views, based on early research experience, relevant generally to the inclusion of critical digital age components in their theses. The chapters are only moderately consulted by the tutor in the direction of finding a common denominator related to social sciences. [ABSTRACT FROM AUTHOR]

Science as an object of knowledge has been a central concern of the social sciences since the first decades of the 20th century. However, the object itself is neither static nor unchanging, and has been transformed over time. In recent decades, the innovative approach of gender studies has gained considerable ground in the social studies of science. While some of them have paid attention to the relations of the professional field with the family sphere and have investigated the ways in which structural factors of the life course play an important role in research careers, there are still few theoretical and empirical contributions that think of science as productive work highly articulated with social reproduction. Although this axis of enquiry is still incipient in social studies of science, it is consolidated within the social sciences hand in hand with labour studies and feminist economics. Within the framework of the important contributions made, this paper seeks to review the existing literature and a conceptual approach to the understanding of scientific work and its articulations with reproductive work, taking gender as a category of analysis. The paper is organised in four parts: in the first section we will review the critiques of the concept of work inherited from modernity and we will focus on thinking of science as work with specificities; in the second section we will address the processes of social reproduction in terms of the articulation of spheres; in the third section we will consider the study of gender and science; in the fourth section, we will describe the way in which this conceptual proposal operates in the empirical study carried out; finally, we will present a systematisation of the concepts developed throughout the paper and a conceptual approach to their approach. [ABSTRACT FROM AUTHOR]

Social Science deals with the study of phenomena related to the social status of human beings. The importance of such sciences lies in the fact that they make it possible to know, predict, modify and improve the functioning of human societies today. Due to the great complexity of modern societies, it is virtually impossible to have accurate data or knowledge about any contemporary society. That is why neutrosophic theory is suitable for representing and modeling the data from studies on any social sciences. They may contain data that is contradictory, incomplete, inaccurate, vague, and so on. In particular, neutrosophic statistics generalizes classical statistics to interval-valued data. Since classical statistics are of great importance for the study of Social Sciences, in this paper, we compile, define and illustrate some statistical methods typical of classical statistics generalized to neutrosophic statistics. We will emphasize the Legal Sciences in our approach. [ABSTRACT FROM AUTHOR]

Social Science deals with the study of phenomena related to the social status of human beings. The importance of such sciences lies in the fact that they make it possible to know, predict, modify and improve the functioning of human societies today. Due to the great complexity of modern societies, it is virtually impossible to have accurate data or knowledge about any contemporary society. That is why neutrosophic theory is suitable for representing and modeling the data from studies on any social sciences. They may contain data that is contradictory, incomplete, inaccurate, vague, and so on. In particular, neutrosophic statistics generalizes classical statistics to interval-valued data. Since classical statistics are of great importance for the study of Social Sciences, in this paper, we compile, define and illustrate some statistical methods typical of classical statistics generalized to neutrosophic statistics. We will emphasize the Legal Sciences in our approach. [ABSTRACT FROM AUTHOR]