Proceedings of The 11th International Conference on Theory and Practice of Electronic Governance (ICEGOV2018)
The 11th International Conference on Theory and Practice of Electronic Governance (ICEGOV2018) took place in Galway, Republic of Ireland, between 4 and 6 April 2018. The conference was held under the high patronage of the Department of Public Expenditure and Reform (DPER), Government of Ireland. The Insight Centre for Data Analytics, part of the National University of Ireland Galway, co-organised ICEGOV2018 with the United Nations University Operating Unit on Policy-Driven Electronic Governance (UNU-EGOV), which is also the conference series organiser1. The conference organisation was also supported by the United Nations Educational, Scientific and Cultural Organization (UNESCO) and the Science Foundation Ireland (SFI).
Governments around the world have been increasing their practices for open government data (OGD). After the launch of the initiative for the Open Government Partnership (OGP) many countries have developed legal arrangements, organizational transformations and cultural challenges in order to implement some practices of OGD in their Public Administrations. However very few have compared their results and experiences in a systematic way. The purpose of this paper is to introduce a first step to develop a comparative framework of OGD. Using the experience of Mexico and Russia governments on implementation we describe this experience of country comparison in order to foster the OGD implementation across the world
Pattern structures, an extension of FCA to data with complex descriptions, propose an alternative to conceptual scaling (binarization) by giving direct way to knowledge discovery in complex data such as logical formulas, graphs, strings, tuples of numerical intervals, etc. Whereas the approach to classification with pattern structures based on preceding generation of classifiers can lead to double exponent complexity, the combination of lazy evaluation with projection approximations of initial data, randomization and parallelization, results in reduction of algorithmic complexity to low degree polynomial, and thus is feasible for big data.
The 6th International Conference on Theory and Practice of Electronic Governance, ICEGOV2012, was organized in Albany, New York, United States (US) from the 22nd to the 25th of October 2012, hosted by the Center for Technology in Government, University at Albany, State University of New York under the patronage of the United States National Archives and Record Administration. The ICEGOV (International Conference on Theory and Practice of Electronic Governance) series focuses on the use of technology to transform relationships between government and citizens, businesses, civil society and other arms of government (Electronic Governance).
The practical relevance of process mining is increasing as more and more event data become available. Process mining techniques aim to discover, monitor and improve real processes by extracting knowledge from event logs. The two most prominent process mining tasks are: (i) process discovery: learning a process model from example behavior recorded in an event log, and (ii) conformance checking: diagnosing and quantifying discrepancies between observed behavior and modeled behavior. The increasing volume of event data provides both opportunities and challenges for process mining. Existing process mining techniques have problems dealing with large event logs referring to many different activities. Therefore, we propose a generic approach to decompose process mining problems. The decomposition approach is generic and can be combined with different existing process discovery and conformance checking techniques. It is possible to split computationally challenging process mining problems into many smaller problems that can be analyzed easily and whose results can be combined into solutions for the original problems.
In 2015-2016 the Department of Communication, Media and Design of the National Research University “Higher School of Economics” in collaboration with non-profit organization ROCIT conducted research aimed to construct the Index of Digital Literacy in Russian Regions. This research was the priority and remain unmatched for the momentIn 2015-2016 the Department of Communication, Media and Design of the National Research University “Higher School of Economics” in collaboration with non-profit organization ROCIT conducted research aimed to construct the Index of Digital Literacy in Russian Regions. This research was the priority and remain unmatched for the moment
Companies are increasingly paying close attention to the IP portfolio, which is a key competitive advantage, so patents and patent applications, as well as analysis and identification of future trends, become one of the important and strategic components of a business strategy. We argue that the problems of identifying and predicting trends or entities, as well as the search for technical features, can be solved with the help of easily accessible Big Data technologies, machine learning and predictive analytics, thereby offering an effective plan for development and progress. The purpose of this study is twofold, the first is an identification of technological trends, the second is an identification of application areas and/or that are most promising in terms of technology development and investment. The research was based on methods of clustering, processing of large text files and search queries in patent databases. The suggested approach is considered on the basis of experimental data in the field of moving connected UAVs and passive acoustic ecology control.
The article is dedicated to the analysis of Big Data perspective in jurisprudence. It is proved that Big Data have to be used as the explanatory and predictable tool. The author describes issues concerning Big Data application in legal research. The problems are technical (data access, technical imperfections, data verification) and informative (interpretation of data and correlations). It is concluded that there is the necessity to enhance Big Data investigations taking into account the abovementioned limits.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.
The article is devoted to the study of the authoritarianism prevalent in the mass consciousness of Russians. The article describes a new approach to the consideration of the authoritarian syndrome as the effects of the cultural trauma as a result of political and socio-cultural transformation of society. The article shows the dynamics of the symptoms of the authoritarianism, which appear in the mass consciousness of Russians from 1993 to 2011. This paper proposes a package of measures aimed at reducing the level of the authoritarianism in Russian society.
This work looks at a model of spatial election competition with two candidates who can spend effort in order to increase their popularity through advertisement. It is shown that under certain condition the political programs of the candidates will be different. The work derives the comparative statics of equilibrium policy platform and campaign spending with respect the distribution of voter policy preferences and the proportionality of the electoral system. In particular, it is whown that the equilibrium does not exist if the policy preferences are distributed over too narrow an interval.
The article examines "regulatory requirements" as a subject of state control over business in Russia. The author deliberately does not use the term "the rule of law". The article states that a set of requirements for business is wider than the legislative regulation.
First, the article analyzes the regulatory nature of the requirements, especially in the technical field. The requirements are considered in relation to the rule of law. The article explores approaches to the definition of regulatory requirements in Russian legal science. The author analyzes legislation definitions for a set of requirements for business. The author concludes that regulatory requirements are not always identical to the rule of law. Regulatory requirements are a set of obligatory requirements for entrepreneurs’ economic activity. Validation failure leads to negative consequences.
Second, the article analyzes the problems of the regulatory requirements in practice. Lack of information about the requirements, their irrelevance and inconsistency are problems of the regulatory requirements in Russia.
Many requirements regulating economic activity are not compatible with the current development level of science and technology. The problems are analyzed on the basis of the Russian judicial practice and annual monitoring reports by Higher School of Economics.
Finally, the author provides an approach to the possible solution of the regulatory requirements’ problem. The author proposes to create a nationwide Internet portal about regulatory requirements. The portal should contain full information about all regulatory requirements. The author recommends extending moratorium on the use of the requirements adopted by the bodies and organizations of the former USSR government.