Mini Track on Data Science in a Digital Society
The 13th International Conference on Business Excellence
Sustainable Business Models and Innovation in the Knowledge Economy
“The best way to predict the future is to create it.” – Abraham Lincoln
21-22 March 2019, Bucharest, Romania
Mini Track Chair:
Wolfgang Härdle, C.A.S.E. – Centre for Applied Statistics and Economics School of Business and Economics Humboldt – Universitätzu Berlin, Germany
Vasile Alecsandru STRAT, Bucharest University of Economic Studies, Bucharest
Daniel Traian Pele, Bucharest University of Economic Studies
Data Science provides insight and understanding of large amount of unstructured and heterogeneous digital sources. Todays business activities in the modern digital society produces masses of information that needs to be filtered, analysed and structured for prediction and modelling. Text mining, herding analysis and sentiment extraction are quantitative tools to augment forecasts in finance, banking and behavioral economics. Smart data analytics is the way to apply data science in a digital society. In this track we aim at practitioners and academics that want to present tools and concepts of data science with a strong focus on applications and implementations. All codes of this track will be available at www.quantlet.de.
Python and R programming languages are becoming the lingua franca of data science. They are the common statistical software platform used by statisticians, economists, engineers and scientists inside corporations and in academia. This BCS course presents tools and concepts of univariate and multivariate data analysis with a strong focus on applications and implementations. All codes of this course are available at www.quantlet.de.
We start with the description of the syntax and elementary I/O procedures. Use of R as an advanced calculator, data types, loops, if then conditions, own function construction, classes are the topics covered. The second section deals with numerical techniques. A short excursion into matrix algebra is provided. Covariances, correlations and the linear models are introduced. Different methods of numerical integration, differentiation and root finding, helps the reader to get inside the BCS core. Next, we highlight set theory, combinatoric rules plus some main discrete distributions. Characteristic and generating functions, cumulative distribution and density functions of the Uniform, Normal, t, χ2, F, Exponential, Lévy, Cauchy distributions will be explained in detail.
Next two units are devoted to the univariate statistical analysis and basic smoothing techniques: Histogram, graphical representation of data, confidence intervals, different simple tests (Wilcoxon, Kruskal-Wallis, sign test). Linear regression with the introduction to time series are the topics of unit 5 and 6. Unit 7 deals with multivariate distributions: definition, characteristics and application of general multivariate distributions, multinormal distributions as well as copulae and their applications.
Wolfgang Karl HÄRDLE did 1982 his Dr.rer. nat. in Mathematics at Universität Heidelberg and 1988 his Habilitation at Universität Bonn. He is Ladislaus von Bortkieviecz chair professor of statistics, Humboldt-Universitätzu Berlin. He is director of the Sino German International Research Training Group IRTG1792 „High dimensional non stationary time series analysis“ (WISE, Xiamen University).
His research focuses on dimension reduction techniques, computational statistics and quantitative finance. He has published over 30 books and more than 300 papers in top statistical, econometrics and finance journals. He is highly ranked and cited on Google Scholar, REPEC and SSRN.
He has professional experience in financial engineering, smart data analytics, machine learning and cryptocurrency markets. He has created a financial risk meter FRMand a cryptocurrency index CRIX hu.berlin/frm and a cryptocurrency index CRIX hu.berlin/crix. His web page is: hu.berlin/wkh.
Vasile Alecsandru STRAT graduated the Faculty of Cybernetics, Statistics and Economic Informatics in 2007. He currently holds a Ph.D. diploma in Economics (Economic Cybernetics and Statistics) from 2012. He joined the Bucharest University of Economic Studies, in 2007 and he is currently holding the position of associate professor within the Department of Statistics and Econometrics from the Faculty of Cybernetics, Statistics and Economic Informatics. He currently teaches Statistics courses and Econometrics courses within the Faculty of Business Administration (German section) and within the Faculty of Cybernetics, Statistics and Economic Informatics. He is the author of several journal articles and conference proceedings’ articles, mostly in the field of applied statistics and econometrics, foreign direct investments and regional development. During the last years he has also worked in international teams of experts who have provided support for some of the most important institutions from the central administration in Romania (Ministry of Regional Development and Public Administration, Ministry of Agriculture and Rural Development, Ministry of EU Funds) for different EU funded programmes (National Rural Development Programme, Regional Operational Programme, etc.).
Daniel Traian Pele graduated Mathematics at University of Bucharest (2000) and got his Ph.D. in Statistics (2007) at Bucharest University of Economic Studies. He currently serves as an Associate Professor at Department of Statistics and Econometrics, Bucharest University of Economic Studies, Romania, teaching Statistics of Financial Markets and Time Series. He is an author of more than 20 scientific publications in internationally refereed journals. The corresponding research profile is that of a data scientist, focused on statistical modelling of financial markets.
He was a postdoctoral researcher at ICMA Centre, Reading University, United Kingdom (2011) and a Guest Researcher at Research Data Center from Department of Statistics, Humboldt University from Berlin (2014). He is the co-founder of SAS Centre of Excellence in Bucharest University of Economic Studies (2009), aiming to use SAS as a platform for analytics with applications in economy and finance. He was also a World Bank consultant in Romania and he taught courses of Statistics, Econometrics and SAS for the employees of the Romanian National Bank (BNR), National Statistical Institute (INS) and other financial institutions.
The conference is organized by Society for Business Excellence and UNESCO Department for Business Administration on the 21-22 of March 2019 at The Bucharest University of Economic Studies, Faculty of Business Administration in Foreign Languages (FABIZ) in partnership with the Romanian Academy, the University of Bucharest and the Sapienza University from Rome, Italy. The papers accepted at ICBE 2019 will be published in the conference proceedings, subject to author registration, payment and presentation. The papers will be published in the Conference Proceedings volume under the German Publishing House De Gruyter and they will be indexed in EBSCO, Proquest, ExLibris, OCLC, Google Scholar, Microsoft Academic, CELDES, CNPIE, Naviga, and will be submitted to Thomson Reuters ISI Web of Science (WOS) Conference Proceedings Citation Index (https://content.sciendo.com/view/journals/picbe/picbe-overview.xml)
Important! Papers presented to the International Conference on Business Excellence (ICBE 2019) will be considered for publication in a Special Issue of the Sustainability Journal, indexed Web of Science, Impact Factor: 1.789 (2016); 5-Year Impact Factor: 1.850 (2016); http://www.mdpi.com/journal/sustainability.
In addition, the best three Papers (Best paper Award Management&Marketing) will be published in the international journal Management & Marketing. Challenges for the Knowledge Society by De Gruyter Open, indexed in Web of Science- Emerging Sources Citation Index (ESCI), Scopus, Proquest, Cabell’s Directory and more than 20 other international databases
At the final ceremony, based on a international committee selection, there will be granted three Best Paper Award Management&Marketing, two Excellence Awards and two Best Paper Awards of the Journal of Economic Forecasting, indexed in Web of Science (http://www.ipe.ro/rjef.htm).
|Abstract submission deadline|
|Notification of abstract acceptance||31 October 2018|
|Submission of full paper due for review||5 January 2019|
|Notification of paper acceptance (with any requested changes)||31 January 2019|
|Final paper due (with any changes)||28 February 2019|
|Final Author registration date||28 February 2019|
Registration and payment*
|EARLY BIRD REGISTRATION AND PAYMENT 15 January 2019 – 15 February 2019|
|PhD students||150 euro|
|STANDARD REGISTRATION AND PAYMENT 16 January – 28 February 2019|
|PhD students||250 euro|
|* The conference fee includes conference attendance, publication, conference folder, meals during the conference and a trip in a soon to be announced destination on the 22nd of March 2019.
**Non-presenting participants are subject to a universal fee of 150 euro.
***All confirmed SBE members (who have paid their membership fee for 2019) benefit from a 30% fee discount.
As a first step, we require a 300-word abstract which is to be received by the 15th of September 2018. Submissions must be made using the online submission form available at www.bizexcellence.ro/icbe and the final paper should be accompanied by publishing agreements and declaration of originality.
Should you have any questions please email us at firstname.lastname@example.org.
Details about the payment and the SBE bank account are available at www.bizexcellence.ro.
Information about the conference could be found also on the website www.fabiz.ase.ro.