Workshop on the Concept of Quality for Big Data

Call for presentations and participation as audience

2019.12.03.
Workshop on the Concept of Quality for Big Data
ELTE Faculty of Social Sciences invites speakers and audience to the Workshop on the Concept of Quality for Big Data. 

Date

February 25–26, 2020

Venue

Eötvös Loránd University, Faculty of Social Sciences
1/A Pázmány Péter Prom.
H—1117 Budapest, Hungary

About the workshop 

Censuses and surveys which have been the traditional sources of data in the social sciences and in business, are now complemented with big or organic data. Doing analyses based on organic data is now established enough so that the initial euphoria claiming that the data can speak for themselves has seized, and time has come for a critical and selective application of big data methods. Yet very little is known about the concept of quality in the case of big data. This is in sharp contrast with the more traditional data sources, as in both the official statistics and the survey communities there exist very detailed theories of data quality and a number of standard procedures to improve the quality of data. This workshop is aimed to start discussion about the concept of quality for organic data and methods to check and improve data quality. Censuses and surveys are results of actively designed data collection exercises and much of the quality criteria address the methods of data collection. As one has no influence on the processes which result in organic data, while many of the traditional concepts remain relevant for big data, the concept of quality has to move from general quality to suitability for particular analyses, leading to more fine tuned approaches. This is a collaborative effort to bridge the somewhat different views and ideas existing among producers and users of data in the official statistics, survey, social science, business analytics and data mining / machine learning communities.        

Confirmed invited speakers

  • Prof. Ori Davidov, Professor of Statistics, University of Haifa
  • Prof. Anuska Ferligoj, Professor, Centre for Methodology and Informatics, Faculty of Social Sciences, University of Ljubljana
  • Prof. Laszlo Polos, Professor of Organisational Theory/Director, Durham DBA in the Business School, Durham University and Károli Gáspár University of the Reformed Church, Budapest
  • Tamas Ferenci, Assistant Professor, Physiological Controls Research Center, Óbuda University
  • Prof. Christoph Stadtfeld, Assistant Professor of Social Networks, Swiss Federal Institute of Technology in Zurich
  • Zoltán Varjú, Head of Data Science, Complytron

Organizers

  • Prof. Tamás Rudas, Professor, Department of Statistics, Faculty of Social Sciences, Eötvös Loránd University
  • Renáta Németh, Associate Professor, Department of Statistics, Faculty of Social Sciences, Eötvös Loránd University
  • Júlia Koltai, Assistant Professor, Department of Social Research Methodology, Faculty of Social Sciences, Eötvös Loránd University

Registration 

Participation and/or presentation is free of charge.

Abstract submission for workshop  
We expect sort (half page long) abstracts on this theme where the main concepts and results of the presentation are covered. Abstracts may be submitted by filling the following form until the 10th of January 2020:
Authors will be will be notified about the acceptance until the 20th of January, 2020.

Registration for workshop as audience 
Registration for participation as audience may be made through the following form until the 10th of February 2020. Places are limited, thus, the registration may be closed earlier.
 

Supported by EU-funded Hungarian grant EFOP-3.6.3.-VEKOP-16-2017-00007
Széchenyi 2020