The Value of Data Visualization
Panel Discussion

The trends of data visualization both in academia and in industry are forever changing and evolving as the availability and complexity of data increases at an ever faster pace. Humans understand things better when they see them visually, while it would be much more difficult to get the same information if by looking at a table of numbers. For this reason, a well-crafted and thoughtful visualization would increase the speed at which people can get insights about data. As author, data journalist and information designer David Mccandleuss said in his TED talk: “By visualizing information, we turn it into a landscape that you can explore with your eyes, a sort of information map. And when you’re lost in information, an information map is kind of useful”. To shed light on the role and importance of data visualization, Data Stories 2018 will host a panel discussion of invited speakers who will discuss about the value of data visualization for industry, academia and the general public. The panel discussion will be mainly focused on the following questions:

How important is data visualization?
When do we need data visualization?
Who is the target of data visualization?
What makes good data visualization?

Silvia Fierăscu

Founder and CEO, Social Networks Research SRL-D

Research and Development Company in the Social Sciences and Humanities

Research Collaborator

Center for Policy Studies, West University of Timisoara, Timisoara, Romania


COHESIFY – Understanding the Impact of EU Cohesion Policy on European Identification Horizon 2020 project, 2016-2020

Silvia Fierăscu has a PhD in Comparative Politics and Network Science from Central European University. Her research focuses primarily on quality of governance, political-business relations, and statistical analyses of network data. Silvia is involved in various interdisciplinary projects, translating complex problems into real-time applications for organizational management, political communication, and better governance.

Slides: Sustainable Social Impact

Jessie Labov’s

Jessie Labov

Resident Fellow in the Center for Media, Data and Society, a member of the Digital Humanities Initiative, and the Project Coordinator of the Text Analysis Across Disciplines Initiative. 

Jessie Labov is a Resident Fellow in the Center for Media, Data and Society, a member of the Digital Humanities Initiative, and the Project Coordinator of the Text Analysis Across Disciplines Initiative. Recent publishing projects include a co-edited volume with Friederike Kind-Kovacs, Samizdat, Tamizdat and Beyond: Transnational Media During and After Socialism (Berghahn 2013), and Transatlantic Central Europe: Contesting Geography and Redefining Culture Beyond the Nation (CEU Press 2019). She has also worked on a variety of digital humanities projects concerned with issues of canon formation, text mining, and visualizing the receptive pathways of literary journals. In July 2019, she will co-direct the CEU Summer University Course Cultures of Dissent in Eastern Europe (1945-1989): Research Approaches in the Digital Humanities.

Slides: The Beauty of the Meso

Iniguez Gerardo

Gerardo Iñiguez, PhD

Assistant Professor, CEU DNDS
Visiting Researcher, Aalto University (Finland) & UNAM (Mexico)
CEO & Co-founder, Predify (Mexico)
www.gerardoiniguez.com, @iniguezg

Games and computational social science:
A bridge between academia and industry

The aim of computational social science is to understand collective human behaviour by analysing data and making models of the digital traces we leave in the online world. The closing gap between off- and online activities (particularly in games, where people form social groups and create entire economies) allows us to perform this task better than ever, bringing both knowledge of the large-scale structure of society, and challenges in predicting the future behaviour of individuals. In this talk I’ll go through some of the ways gaming data has been used in computational social science research, as well as give an outlook on how online gaming platforms may help us understand the way societies transform and adapt to a changing environment.



Gerardo Iñiguez is assistant professor at DNDS-CEU, Visiting Researcher at Aalto University (Finland) and UNAM (Mexico), and CEO & Co-founder at Predify (Mexico), where he uses large datasets of socioeconomic behaviour in social networks and other complex systems to develop mathematical models of collective dynamics, and give insights to academia and industry challenges. Gerardo has been data scientist at Next Games (Finland), assistant professor in computational social science (UNAM) and has a Ph.D. from Aalto University (computational science). His publications (dealing with spreading dynamics in social networks, opinion and deception in social interactions, conflict resolution in collaborative platforms, and hierarchy formation in complex systems) have been published in high-impact journals like Phys. Rev. Lett., Sci. Rep., Proc. R. Soc. B, and J. R. Soc. Interface. His research has attracted external funding from the World Bank, the EU, and the Academy of Finland, as well as attention from the complex systems community, the media, and the public. Find out more at www.gerardoiniguez.com and @iniguezg on Twitter.

Slides: Games and Computational Social Science

Sipos Melinda

Melinda Sipos

Melinda Sipos is a Budapest based designer and cultural mediator working at the boundaries
of art, design, technology and social engineering.
Currently Melinda pursues her doctoral studies at the Moholy-Nagy Art and Design University
exploring the topic of collaborative and interdisciplinary working methods. She has a joint
research project on physical data visualisation which is one of her main artistic interest.


Slides: Data Embodiment

speakers arhive