Evolution of university-industry collaboration in Brazil from a technology upgrading perspective
Due to its ability to create and disseminate knowledge, the modern university is understood as a central agent in innovation systems and technology upgrading dynamics. The main objective of this article is to assess the evolution of universities' embeddedness within the innovation system of an emerging economy in terms of patenting activity and linkages to industry. The study is based on information relating to the twelve most eminent universities in Brazil for the years 1994, 2004 and 2014. These institutions are found responsible for a substantial share of Brazilian patents – with an upward trend over the years - and these institutions have demonstrated a progressive embeddedness to the national innovation system. Such behavior seems to have co-evolved along with improvements in the national institutional environment, leading to expectations that academia can become strategic in shaping the catching-up conditions in Brazil for the coming years. However, deeper connections with both domestic and foreign agents and multinational corporations are needed in order to accelerate the pace of university contribution to value chains and technology upgrading.
The sixth SNA-KDD workshop (www.snakdd.com) is proposed as the sixth in a successful series of workshops on social network mining and analysis co-held with KDD, soliciting experimental and theoretical work on social network mining and analysis in both online and offline social network systems.
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.
This article is an expanded version of the report submitted by the author on V scientific and practical conference dedicated to the memory of the first Dean of the Faculty of Sociology HSE Alexander O. Kryshtanovskiy "Sociological research methods in modern practice". The article is based on a study of the quantative data obtained in the course of one of the stages of the study "New social movements of youth" by Center of Youth Studies HSE - SaintPetersburg. At this stage, youth community mapping was conducted and analysis of the data using SNA tools was organised. The issue of this work is related to the specific application of network theory and network analysis methods in the process of discovering relations between various informal organisations on the example of youth communities.
The core problem considered in the article is dedicated to the revealing of project system elements, where the network modeling can be adopted to management. Using of Web of Science and ProQuest databases provided with the opportunity of publication activity statistics research and with the definite articles and other types of publications’ analysis for the search of basic directions of network theory adoption for project management. The identification of the most demanded and actual directions of network approach and social network analysis application to management of project system elements was fulfilled.
Why researchers that use statistics always propose hypothesis about associations between variables and try to prove cause-effect relations between them? And, vice versa, why political linguist tend to use discourse analysis to disclose cognitive manipulation by power-holders through the imposition of certain beliefs, which define the social behavior?
In this paper we propose the mapping of existed methods in social sciences, of methodological approaches which stand behind these methods and allow formulating research question, and of philosophical foundations or ontologies which explain what social reality is. Social research is driven not only by chosen methods, but also by approaches and ontology shared by researcher.
In this paper, we discuss the methods of endowment management existing in the world and their applicability to the Russian university system. The endowment spending research focuses on the following issues: reinvesting endowment income; identifying the size of expendable endowment income; using the endowment body, not onlyincome; choosing endowment spending policy, rule and rate endowments, etc. We provide an overview of endowment fund financial indicators and endowment spending allocationin Russia. Based on the example of the HSE Endowment Fund, we analyze the use of endowment spending rulesand model of financial indicators for 2008–2014. The University’s Endowment Fund endowment spending policies implement the preservation principle, which may be reasonable in a stable economy. However, the viability of the principle is questionable in the crisis, the more so since the endowment is mostly in rubles. Using net asset valuation methods, the HSE Endowment Fund could provide equity betweengenerations with annual distribution of income in favor of the next and current generations.
The CCIS series is devoted to the publication of proceedings of computer science conferences. Its aim is to efficiently disseminate original research results in informatics in printed and electronic form. While the focus is on publication of peer-reviewed full papers presenting mature work, inclusion of reviewed short papers reporting on work in progress is welcome, too. Besides globally relevant meetings with internationally representative program committees guaranteeing a strict peer-reviewing and paper selection process, conferences run by societies or of high regional or national relevance are also considered for publication.