Big-Data-Augmented Approach to Emerging Technologies Identification: Case of Agriculture and Food Sector
The paper provides a number of proposed draft operational guidelines for technology measurement and includes a number of tentative technology definitions to be used for statistical purposes, principles for identification and classification of potentially growing technology areas, suggestions on the survey strategies and indicators. These are the key components of an internationally harmonized framework for collecting and interpreting technology data that would need to be further developed through a broader consultation process. A summary of definitions of technology already available in OECD manuals and the stocktaking results are provided in the Annex section.
One of the most important issues for the world society in the XXI century is a task to provide pure water for citizens. As evidenced results of expert survey, made by the Higher School of Economics
significant part of water sources for drinking water in Russia doesn’t meet necessary requirements. And one of the most adequate solutions to meet this challenge is using the nanotechnologies in processes of water purification that can solve the set of problems such as polluted sources, obsolete equipment, increased risk of diseases etc. Roadmap “Applying Nanotechnology to Water Treatment” was launched by summarizing opinions of expert community participants both national and foreign regarding the most significant nanotechnologies and products made with their help which are used or can be used for water treatment and purification purposes. The aim of the research is to make special innovation routes R&D-technologies-products-markets that could be used by federal and regional authorities and Russian companies working in the field of water purification. The roadmap becomes the first largescale national foresight exercise in the area of nanotechnologies for water purification.
This article discusses the objectives and challenges for corporate governance of SOEs in Russia, and provides an international perspective of the performance of SOEs as compared to privately owned companies. Recent trends in the policy and management of state property are described. The problems of corporate governance in Russia are described in an agency perspective, and survey evidence on corporate governance and transparency of Russian SOEs is provided. Particular attention is given to the legal construction of the state corporation. The final section on the performance effects of state ownership summarizes the key contributions in the international economic literature in this field.
An important text mining problem is to find, in a large collection of texts, documents related to specific topics and then discern further structure among the found texts. This problem is especially important for social sciences, where the purpose is to find the most representative documents for subsequent qualitative interpretation. To solve this problem, we propose an interval semi-supervised LDA approach, in which certain predefined sets of keywords (that define the topics researchers are interested in) are restricted to specific intervals of topic assignments.
Concept discovery is a Knowledge Discovery in Databases (KDD) research field that uses human-centered techniques such as Formal Concept Analysis (FCA), Biclustering, Triclustering, Conceptual Graphs etc. for gaining insight into the underlying conceptual structure of the data. Traditional machine learning techniques are mainly focusing on structured data whereas most data available resides in unstructured, often textual, form. Compared to traditional data mining techniques, human-centered instruments actively engage the domain expert in the discovery process. This volume contains the contributions to CDUD 2011, the International Workshop on Concept Discovery in Unstructured Data (CDUD) held in Moscow. The main goal of this workshop was to provide a forum for researchers and developers of data mining instruments working on issues with analyzing unstructured data. We are proud that we could welcome 13 valuable contributions to this volume. The majority of the accepted papers described innovative research on data discovery in unstructured texts. Authors worked on issues such as transforming unstructured into structured information by amongst others extracting keywords and opinion words from texts with Natural Language Processing methods. Multiple authors who participated in the workshop used methods from the conceptual structures field including Formal Concept Analysis and Conceptual Graphs. Applications include but are not limited to text mining police reports, sociological definitions, movie reviews, etc.
This is a review of issues and problems, including cross-border disputes, arising during customs examination and sampling in the Russian Federation and the European Union. The Customs Union of the Russian Federation, Republic of Kazakhstan, and the Republic of Belarus was formed in accordance with the Agreement of 6 October 2007. This article provides some concrete examples of cross-border disputes in comparison to similar problems that have arisen in the EU, particularly in the Netherlands. Based on this review, we will conclude with some suggestions to improve the handling of cross-border disputes arising from customs examinations and sampling.
Formal Concept Analysis (FCA) is an unsupervised clustering technique and many scientific papers are devoted to applying FCA in Information Retrieval (IR) research. We collected 103 papers published between 2003-2009 which mention FCA and information retrieval in the abstract, title or keywords. Using a prototype of our FCA-based toolset CORDIET, we converted the pdf-files containing the papers to plain text, indexed them with Lucene using a thesaurus containing terms related to FCA research and then created the concept lattice shown in this paper. We visualized, analyzed and explored the literature with concept lattices and discovered multiple interesting research streams in IR of which we give an extensive overview. The core contributions of this paper are the innovative application of FCA to the text mining of scientific papers and the survey of the FCA-based IR research.
The paper analyzes how the agricultural sector applies outsourcing in its practice. What differs the outsourcing from other forms of cooperation of enterprises is identified. We show that an agro-enterprise could function as an outsourcee. Some ways of how outsourcing can be used in the agricultural production to make its profitability higher are proposed here.
The manual is intended for students of Department of computer engineering MIEM HSE. In the textbook based on the courses "Economics of firm" and "the development strategy of the organization." Discusses the key conceptual and methodological issues of the theory and practice of Economics and development planning of the organization. The use of textbooks will enable students: to analyze key performance indicators, and use the tools of strategic analysis with reference to concrete situations in contemporary Russian and international business. Special attention is paid to the methods and systems of information support of the life support functions of business organizations and management methodology of innovation and investment. An Appendix contains source data for analysis of competition in a particular industry.
Over the last two decades national policy makers drew special attention to the implementation of policy tools which foster international cooperation in the fields of science, technology, and innovation. In this paper, we look at cases of Russian-German collaboration to examine the initiatives of the Russian government aimed at stimulating the innovation activity of domestic corporations and small and medium enterprises. The data derived from the interviews with companies’ leaders show positive effects of bilateral innovative projects on the overall business performance alongside with major barriers hindering international cooperation. To overcome these barriers we provide specific suggestions relevant to the recently developed Russian Innovation Strategy 2020.