Графенто 1: Графический язык правовой аналитики: Учебное пособие
The article investigates the representation of analytical media content through the use of digital computer and online databases (the so-called data journalism, journalism of "big data", or journalism of metadata, as it is defined in the study). The author reveals the unique features of data journalism as a phenomenon and a process and proves that this format of convergent content represents the opportunities of synergy of formal, logical and associative presentation of information in an interactive online format and appears to be a synthesis of the three types of classical journalistic genres. Online data journalism determines fundamentally new opportunities for the strategic development of media content characteristics and functions of modern journalism as an element of open public governance and the development of science about media (medialogy).
In this study, we aim to discover Russian “centers of excellence” and explore patterns of their collaboration with each other and with foreign partners. Highly cited papers serve as a proxy for “excellence” and co-authored papers as a measure of collaborative efforts. We find that at the moment research institutes (of the Russian Academy of Sciences as well as others) remain the key players, in spite of recent government initiatives to stimulate university science. The contribution of commercial sector to high-impact research is negligible. More than 90% of Russian highly cited papers involve international collaboration, Russian institutions often not playing a dominant role there. Patterns of national (“intra-national”) collaboration differ significantly across different types of organizations, the strongest ties are between three nuclear/particle physics centers. We draw a co-authorship map to visualize collaboration between Russian centers of excellence.
Students' internet usage attracts the attention of many researchers in different countries. Differences in internet penetration in diverse countries lead us to ask about the interaction of medium and culture in this process. In this paper we present an analysis based on a sample of 825 students from 18 Russian universities and discuss findings on particularities of students' ICT usage. On the background of the findings of the study, based on data collected in 2008-2009 year during a project "A сross-cultural study of the new learning culture formation in Germany and Russia", we discuss the problem of plagiarism in Russia, the availability of ICT features in Russian universities and an evaluation of the attractiveness of different categories of ICT usage and gender specifics in the use of ICT.
The results of cross-cultural research of implicit theories of innovativeness among students and teachers, representatives of three ethnocultural groups: Russians, the people of the North Caucasus (Chechens and Ingushs) and Tuvinians (N=804) are presented. Intergroup differences in implicit theories of innovativeness are revealed: the ‘individual’ theories of innovativeness prevail among Russians and among the students, the ‘social’ theories of innovativeness are more expressed among respondents from the North Caucasus, Tuva and among the teachers. Using the structural equations modeling the universal model of values impact on implicit theories of innovativeness and attitudes towards innovations is constructed. Values of the Openness to changes and individual theories of innovativeness promote the positive relation to innovations. Results of research have shown that implicit theories of innovativeness differ in different cultures, and values make different impact on the attitudes towards innovations and innovative experience in different cultures.