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*_CfP Announcement_*


Session on "*Big Data and social policies: A new frontier of data 
management for decision-making in the social field?*" 
( at

*10th ESPAnet Italy Conference****University of Bologna, Campus of 
Forlì, 21-23 September 2017 *(

The deadline for submitting a proposal is: *31th May 2017 
*( . Submission via**

*_C_**_all for Papers_*


We have the pleasure to inform you that the call for paper for the 
session on *"Big Data and social policies: A new frontier of data 
management for decision-making in the social field?"* for the next 10th 
ESPAnet Italy conference, which will be hosted by the University of 
Bologna, Campus of Forlì (21-23 September 2017) is now open! Nowadays, 
the management and the analysis of Big Data represent both a main 
challenge to the current way of affording problems in many different 
fields, and a strategic opportunity to innovate official statistics on 
which policy-making processes are based (Daas, Puts, Buelens. and van 
den Hurk, 2013; Struijs, Braaksma and Daas, 2014; Reimsbach-Kounatze, 
2015). Big Data represent a challenge with respect to the continuous 
growing number and types of reachable data sources; the need to deal 
with complex analysis in real time; the low level of data structure; the 
high level of redundancy, inconsistency and noise affecting their 
quality; and finally to the legal issues related to individual privacy 
and rights on data ownership. Anyway, they actually constitute a 
strategic opportunity to support decision making in many fields 
(Mayer-Schönberger, Cukier, 2013). Is actually social policy one of the 
fields in which Big Data could be used to improve and facilitate the 
decision processes oriented to planning and programming both national 
and local social plans? Could Big Data support the collection of data 
oriented to the quality assessment of social services provided to 
citizens? Population censuses, sample surveys as well as administrative 
archives and registers are revealing some critical issues with respect 
to harmonisation, integration and inconsistency in data collection. 
These problems could be partly overcome by the enormous informative 
potential offered by new sources and Big Data (Rango, 2014). In fact, 
policy-making should be based on a wider and more sensible information 
system. At the same time, the role of Big Data for Official statistics 
is still debated and a general consensus has not yet reached, especially 
in the field of social statistics (Eurostat, 2014).  This session would 
contribute to this debate. Hence, it is opened to national and 
international contributes of scholars, researchers and professionals 
engaged in building up integrated information systems based on the use 
of Big Data to support decision-making processes in the social policy 
field. The presentation of innovative solutions integrating the use of 
both new technologies and data analytics methods oriented to extract 
useful information on social issues in the field of social policies are 

Conference sessions will be held both in *Italian and English* languages.

Authors are requested to fill out a specific form: .

For further information, please feel free to contact us.



Fiorenza & Cathleen (session organizers)


Fiorenza Deriu: [log in to unmask] 
<mailto:[log in to unmask]> , Università di Roma La Sapienza (Italy)

Cathleen M. Stuetzer: [log in to unmask] 
<mailto:[log in to unmask]>,University of Technology 
Dresden and [log in to unmask] <mailto:[log in to unmask]> , 
Johannes Gutenberg University Mainz (Germany)


Conference Organizing Committee: [log in to unmask] 
<mailto:[log in to unmask]>

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