Warsaw, Poland

The Warsaw School of Economics is the oldest business school of university standing in Poland. It is ranked first amongst Polish business schools in the Perspektywy ranking.The Warsaw School of Economics was founded in 1906 as a private school under the name August Zieliński Private Trade Courses for Men. On 30 July 1919 it became a separate legal entity and was granted the status of an institution of higher education. The school was renamed Szkoła Główna Handlowa in 1933. Following World War II SGH was nationalized and its name changed to Szkoła Główna Planowania i Statystyki . The school regained its pre-war name after the fall of communism in 1991.The Warsaw School of Economics offers courses leading to Bachelor's or Master's degrees to both full-time and extramural students. It also offers programs for doctoral and postgraduate degrees. Its Finance and Accounting program was ranked among the Top 40 European Masters in Management by the Financial Times, 2008.The Warsaw School of Economics cooperates with around 200 higher education institutions around the world within student and staff exchange areas. It is also a member of the CEMS, the LLP Erasmus, the Partnership in International Management network and the European University Association EUA.It is located at the northern edge of the Mokotów district of Warsaw. Bus and tram stops as well as the Pole Mokotowskie metro station are nearby. Wikipedia.


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News Article | May 24, 2017
Site: www.prnewswire.co.uk

Marcin Motel started in his new position as Regional Director EE for Qlik on May 1st. Previously he worked in different management positions for companies such as IBM, Veritas Software, and recently BMC. "Qlik products have great potential in our region as customers are hungry for self-service data visualization and the possibility to optimize their BI infrastructure across the organization. Qlik solutions can quickly bring significant value to any type and size of business that depends on data and wants to successfully manage the current digitalization challenges" - he says. Marcin Motel underlines that his main goal is to increase the market share of Qlik Solutions in the EE market. "My aim and focus will be to bring Qlik solutions to companies of all sizes in the EE region. Based on our BI Platform approach we can manage all enterprise wide BI requirements for large companies. It´s obvious, that there is a massive need for fast and easy to use BI Solutions. The old BI stacks can't fulfil the analytical needs of today`s businesses. For small and medium companies, we can offer Qlik Cloud as well and leverage the full power of Qlik Sense for an interesting subscription price" - explains Marcin Motel. The new Regional Director has broad experience in the IT industry. Graduated from Foreign Trade Faculty of the Warsaw School of Economics in 1994, but started his career a year earlier. Since then he held different positions, including Sales Director in Comp S.A, Regional Channel Manager in EMC, Country Manager in Veritas Software, Computer Associates (CA), Software AG. Marcin has been managing IBM Information Management and Big Data software business in Poland and the Baltic States for 4 years since august 2011. Before joining Qlik, Marcin Motel was BMC Software Territory Manager for Poland. He has a strong background in selling enterprise class software to key customers and partners in Poland and CEE countries. Marcin Motel likes to spend his spare time with his family and on sports activities such as basketball, cycling, and skiing. Qlik® is the leading visual analytics platform and the pioneer of user-driven business intelligence. Its portfolio of cloud-based and on-premise solutions meets customers' growing needs from reporting and self-service visual analysis to guided, embedded and custom analytics, regardless of where data is located. Customers using QlikSense®, QlikView® and Qlik® Cloud, gain meaning out of information from multiple sources, exploring the hidden relationships within data that lead to insights that ignite good ideas. Headquartered in Radnor, Pennsylvania, Qlik does business in more than 100 countries with over 40,000 customers globally. © 2017 QlikTech International AB. All rights reserved. Qlik®, QlikSense®, QlikView®, QlikTech®, QlikCloud®, QlikDataMarket®, QlikAnalyticsPlatform®, QlikNPrinting™, QlikConnectors™, QlikGeoAnalytics™ and QlikTech logos are trademarks of QlikTech International AB which have been registered in multiple countries. Other marks and logos mentioned herein are trademarks or registered trademarks of their respective owners.


News Article | May 24, 2017
Site: www.prnewswire.com

Marcin Motel started in his new position as Regional Director EE for Qlik on May 1st. Previously he worked in different management positions for companies such as IBM, Veritas Software, and recently BMC. "Qlik products have great potential in our region as customers are hungry for self-service data visualization and the possibility to optimize their BI infrastructure across the organization. Qlik solutions can quickly bring significant value to any type and size of business that depends on data and wants to successfully manage the current digitalization challenges" - he says. Marcin Motel underlines that his main goal is to increase the market share of Qlik Solutions in the EE market. "My aim and focus will be to bring Qlik solutions to companies of all sizes in the EE region. Based on our BI Platform approach we can manage all enterprise wide BI requirements for large companies. It´s obvious, that there is a massive need for fast and easy to use BI Solutions. The old BI stacks can't fulfil the analytical needs of today`s businesses. For small and medium companies, we can offer Qlik Cloud as well and leverage the full power of Qlik Sense for an interesting subscription price" - explains Marcin Motel. The new Regional Director has broad experience in the IT industry. Graduated from Foreign Trade Faculty of the Warsaw School of Economics in 1994, but started his career a year earlier. Since then he held different positions, including Sales Director in Comp S.A, Regional Channel Manager in EMC, Country Manager in Veritas Software, Computer Associates (CA), Software AG. Marcin has been managing IBM Information Management and Big Data software business in Poland and the Baltic States for 4 years since august 2011. Before joining Qlik, Marcin Motel was BMC Software Territory Manager for Poland. He has a strong background in selling enterprise class software to key customers and partners in Poland and CEE countries. Marcin Motel likes to spend his spare time with his family and on sports activities such as basketball, cycling, and skiing. Qlik® is the leading visual analytics platform and the pioneer of user-driven business intelligence. Its portfolio of cloud-based and on-premise solutions meets customers' growing needs from reporting and self-service visual analysis to guided, embedded and custom analytics, regardless of where data is located. Customers using QlikSense®, QlikView® and Qlik® Cloud, gain meaning out of information from multiple sources, exploring the hidden relationships within data that lead to insights that ignite good ideas. Headquartered in Radnor, Pennsylvania, Qlik does business in more than 100 countries with over 40,000 customers globally. © 2017 QlikTech International AB. All rights reserved. Qlik®, QlikSense®, QlikView®, QlikTech®, QlikCloud®, QlikDataMarket®, QlikAnalyticsPlatform®, QlikNPrinting™, QlikConnectors™, QlikGeoAnalytics™ and QlikTech logos are trademarks of QlikTech International AB which have been registered in multiple countries. Other marks and logos mentioned herein are trademarks or registered trademarks of their respective owners.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: INSO-1-2014 | Award Amount: 3.36M | Year: 2015

ROUTE-TO-PA is a multidisciplinary innovation project, that, by combining expertise and research in the fields of e-government, computer science, learning science and economy, is aiming at improving the impact, towards citizens and within society, of ICT-based technology platforms for transparency. ROUTE-TO-PA envisions that Information and Communication Technologies for Transparency must improve the engagement of citizens by making them able to socially interact over open data, by forming or joining existing online communities that share common interest and discuss common issues of relevance to local policy, service delivery, and regulation; moreover, ROUTE-TO-PA aims at engaging citizens to a higher degree by providing a robust and more holistic understanding of transparency, by underpinning the next generation open-data based transparency initiatives, ensuring that published data are those of value to citizens, with a personalized view in different forms to different segments of the citizens and public based on their profiles for facilitate better understanding. ROUTE-TO-PA will deliver the experimented innovative and engaging ICT platforms to ensure citizen-friendly, conscious, and effective access to open-data, by offering easy understanding of, and social collaboration on, open data offered by PAs. The objectives of Route-To-PA are: (1) develop a Social Platform for Open Data (SPOD) enabling social interactions among open data users and between open data users and government data ; (2) build Transparency-Enhancing Toolset (TET) as extensions for existing major Open Data Platforms; and (3) develop a set of recommendations (GUIDE) as good practice guide for open data publishers for achieving higher quality transparency through open data. The objectives are deployed, tested and experimented in a real setting, with at least 5 pilot studies in five different European countries.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: INSO-3-2014 | Award Amount: 2.93M | Year: 2015

Innovation has been placed at the heart of the Europe 2020 strategy aimed at facing major structural changes, the increase of global competition and the current crisis, and to tackle major societal challenges such as climate change, energy and resource scarcity, health and ageing. The Innovation Union has the main objective to strengthen the European innovative potential, and sets 13 general objectives and 34 specific (policy) commitments associated to the objectives, and aimed at stimulating innovation. The objective of this project is to deliver a system of assessment for the commitments. The approach starts from the evaluation of the state of achievement of the individual commitments, but puts crucial emphasis on their effects in the innovation system as a whole, as well as on the economy-wide effects of innovation. The basic idea is to retrace the entire chain of effects of the commitments, from their implementation to their final impact in terms of competitiveness, growth or employment. The specific tasks that project sets out to undertake to achieve this are: 1) Data collection and identification of mechanisms; 2) Developing theoretical and econometric models in order to estimate the impact of the commitments; 3) Developing a conceptual model of the innovation system, leading to a reference tool on which the impact analysis of the commitments individually and as a whole will be based, and which will also play a role of interface between the assessments of the commitments impact and the macro sectoral econometric work. 4) A quantitative analysis of the commitments by use of the NEMESIS model, which is an existing macro-structural econometric model, but which will be modified and extended for the tasks at hand; 5) An ex-ante and ex-post policy assessment of the economic effects of the Innovation Union at European, national and regional levels; 6) To present policy conclusions and recommendations on the validation or the efficiency of the policies implemented.


Grant
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SSH.2013.1.3-1 | Award Amount: 3.14M | Year: 2014

The AGENTA project aims at explaining the past and forecasting the future of taxes and public transfers and services in the light of demographic change in the European Union. Conceptually AGENTA puts a special emphasis on - the links between the public and the non-public sector (particularly households) in providing resources in the dependent periods of the life cycle; - the links between the different components of the public budget (current investments in the health and other human capital of children shape the need for services and the size of the public budget in the future); - the definition of stages of the life cycle, such as childhood, active age and old age, in particular the age of becoming old, and how they interrelate to impact both economic activity during the life-cycle and the timing of, and circumstances surrounding, the retirement decision. In other words, we emphasize that trends in the public sector cannot be fully understood without taking non-public institutions into account and doing so over the life cycles of successive cohorts of the population. The guiding principle of the AGENTA project is to provide evidence based policy proposals to ensure long-term sustainability of public finances in Europe. The acronym of the project, AGENTA, has a double reference. We will use the new method of National Transfer Accounts (NTA, see www.ntaccounts.org) to analyse the increasing average AGE that constitutes the ageing of European societies. In addition, the output of the project will be strongly policy oriented, offering an AGENDA for preparing for long-life societies.


Grant
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SSH-2009-1.1.1. | Award Amount: 3.52M | Year: 2010

The GOETE project will analyse the role of school in re-conceptualising education in terms of lifelong learning by combining a life course and a governance perspective. In European knowledge societies adequacy of education means a balance of individual, social and economic aspects. This is operationalised by exploring how educational institutions conceptualise and organise individual educational trajectories. The study covers the period from transition into lower secondary education to transition into upper secondary education/vocational education and training, i.e. the age group between 10 and 16 years. Comparative analysis will focus on the regulation of access to education, of support measures for coping with education and of securing the relevance of education for social integration and the labour market. In 8 EU countries the mixed-method study involves surveys with students, parents and school principals; comparison of teacher training; case studies of local school spaces; discourse analysis; expert interviews with policy makers and stakeholders. On a scientific level, the comparison of the regulation of educational trajectories involves re-conceptualising the social aspects of learning and education under conditions of late modern knowledge societies. It reflects the need for formal education to be embedded in social life worlds, enabled by social support, and complemented by informal and non-formal learning. On a practice and policy level, it will provide information about alternative means of providing children and young people with access to education; of supporting them in coping with education and ensuring the relevance of education by communication and cooperation between school, labour market, other educational actors, students and parents. The communication of findings will include a dialogic model of educational policy planning at local level, training workshops with teachers, youth workers and policy makers, and a European policy seminar.


Grant
Agency: European Commission | Branch: FP7 | Program: CP-IP | Phase: SSH.2012.3.2-1 | Award Amount: 8.36M | Year: 2013

The main objectives of this project are to investigate the diversity of family forms, relationships, and life courses in Europe; to assess the compatibility of existing policies with these changes; and to contribute to evidence-based policy-making. The project will extend our knowledge on how policies promote well-being, inclusion and sustainable societal development among families. Our approach relies on three key premises. First, family life courses are becoming more diverse and complex. Second, individual lives are interdependent, linked within and across generations. Third, social contexts and policies shape individual and family life courses. Building upon these premises we a) explore the growing complexity of family configurations and transitions, b) examine their implications for men, women and children with respect to inequalities in life chances, intergenerational relations and care arrangements, c) investigate how policies address family diversity, d) develop short- and longer-term projections, and e) identify future policy needs. Transversal dimensions that are integrated into the project are gender, culture, socioeconomic resources and life stages. Our approach is multidisciplinary combining a wide range of expertise in social sciences, law and the humanities represented in the consortium of 25 research partners from 15 European countries, old and new member states, and three transnational civil society actors. We will conduct comparative analyses applying advanced quantitative methods to high quality register and survey data, and qualitative studies. The project will also develop a database of the legal content of family forms available in European countries, suitable for comparative analyses. Together with various stakeholders, government agencies, national and local policy-makers, non-governmental organizations and additional members of the scientific community across Europe, we will identify and disseminate innovation and best policy practices.


Grant
Agency: European Commission | Branch: FP7 | Program: CSA-CA | Phase: ENV.2013.6.5-2 | Award Amount: 1.20M | Year: 2013

SEFIRA has the objective of creating a European coordination of transdisciplinary scientific and socio-economic resources in order to support the review and implementation of air quality legislation by the European Commission (EC) led by DG Environment. The EC has now given increased attention to the socio-economic dimension of air quality policies in order to improve their effectiveness and acceptability. SEFIRA will coordinate some of the best scientific and socio-economic resources and will review air quality policies and legislation at the interface between environmental, economic and social sciences in order to achieve a deeper understanding of these complex issues. Individual behaviours and choices will be analysed in a socio-economic context ranging from the local to the European level. The main fields involved in the action will be atmospheric sciences, environmental and legal sociology, anthropology, geography and economics. The integration of disciplines, the relationship with the most relevant stakeholders and an effective coordination between the SEFIRA consortium and other European projects in the same field will be a priority. The project strategy will support the development of a new European appraisal of problems and resources in the field, will deploy a pilot survey and a test of policy implementation by innovative models of individual choices analysis and ecosystem services valuation. Stakeholders will be involved from the beginning of the project in a process of dialogue and cooperative problem solving in order to ensure relevance and robustness as the work progresses from local to European level.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: INFRADEV-02-2016 | Award Amount: 2.00M | Year: 2017

The Generations and Gender Programme (GGP) provides high quality cross-national, longitudinal data for the study of population change. The data provided by the GGP have been used by more than 3,000 researchers worldwide and have led to over 500 peer-reviewed journal articles. The data have provided insights into some of the most pressing societal challenges such as care for older persons, female employment, inequality, social exclusion, social mobility and migration. The overall objective of GGP-EPI is to bring the GGP to the level of maturity required for inclusion as an active project on the 2020 ESFRI Roadmap and eventually for its full implementation as a distributed research infrastructure. Specifically, the project sets out to Evaluate, Plan and Initiate the GGPs transition to a distributed research infrastructure through a series of activities which will strengthen all aspects of the project from its fieldwork operations through to its long term financing and governance. This includes: (1) To evaluate the GGPs governance and management structure and to identify the governance, financial, and legal model that will best serve the GGP and its various stakeholders; (2) To plan for the recent and foreseeable technological and data developments and identify the e-needs of the GGP; and (3) To initiate the centralization of the GGPs operations throughout its data life cycle and especially in connection with new data collection. In doing so, the GGP will strengthen its position in the European Research Area, and will deliver innovative, cutting edge data on population change for researchers and policy makers.


Owczarczuk M.,Warsaw School of Economics
Expert Systems with Applications | Year: 2010

In this article, we test the usefulness of the popular data mining models to predict churn of the clients of the Polish cellular telecommunication company. When comparing to previous studies on this topic, our research is novel in the following areas: (1) we deal with prepaid clients (previous studies dealt with postpaid clients) who are far more likely to churn, are less stable and much less is known about them (no application, demographical or personal data), (2) we have 1381 potential variables derived from the clients' usage (previous studies dealt with data with at least tens of variables) and (3) we test the stability of models across time for all the percentiles of the lift curve - our test sample is collected six months after the estimation of the model. The main finding from our research is that linear models, especially logistic regression, are a very good choice when modelling churn of the prepaid clients. Decision trees are unstable in high percentiles of the lift curve, and we do not recommend their usage. © 2009 Elsevier Ltd. All rights reserved.

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