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30 11 2018
Angeles Briones: Good visualization gives access also to data itself
An interview on the role of the designer in research projects and on the future of visualization with Angeles Briones from DensityDesign Lab, Polytechnic University of Milan, who gave a lecture at the Data (for) Culture conference in Katowice.
Łukasz Mirocha
09 02 2018
Karin van Es: Data-driven approaches are often particularly good at raising new questions, which may need to be answered with different methods
On data-driven research and visualization with Karin van Es from Utrecht Data School, who gave a lecture at Data (for) culture conference in Katowice
Łukasz Mirocha, Karin van Es
11 08 2017
Data » information » knowledge: Medialab designers discuss the role of visualisation in the research process
In addition to data acquisition and analysis, the subsequent step of data visualisation is a central task that the Medialab team faces as part of the study of the culture cycles in Katowice under the Shared Cities project. As one of our previous postings has already covered the challenges facing our coders, this time we talk to Medialab designers. Paulina Urbańska and Waldek Węgrzyn work on the visual side of the project on a daily basis, while constantly improving our research methodologies and internal team communication.
Łukasz Mirocha, Paulina Urbańska, Waldemar Węgrzyn
25 04 2017
Visualisation of Facebook data. What you will not learn about your fan page from admin stats. Part 2.
We typically expect the analyses of large data sets to provide us with simple clues that will increase the number and engagement of visitors to our page. Detailed research on interactions with Facebook posts shows that trends tend to vary from month to month, making it difficult to find universal rules governing social media. Our visualisations, therefore, do not provide ready-made solutions, but rather help users embark on data exploration for a broader look at fan page statistics.
Karol Piekarski, Waldemar Węgrzyn
14 04 2017
How to transform data sets into tools for exploring cultural phenomena?
Explorative data analysis is at the heart of any data-driven research process. Having spent several months collecting data from various sources: social media, web sites, and our own surveys, we were able to perform prototype analyses and visualisations in order to test the quality of the collected data and its usefulness at a later stage of work. Being half-way into our study, we are anxious to see how the work done so far will help us explore the issues we are interested in.
Karol Piekarski, Waldemar Węgrzyn
21 03 2017
Where’s the Culture? A Cultural Event Geography by Facebook
Is it possible to map cultural activity across the city based on social data? Well, we gave it a go! Using the information available on Facebook, we set out to trace the dynamics of the local cultural life to find out whether the city’s geographical centre is also where its cultural heart beats.
Hanna Kostrzewska, Paweł Jaworski
09 03 2017
Visualisation of Facebook data. What you will not learn about your fan page from admin insights
Administrators of Facebook pages have at their disposal a set of advanced statistical tools to track and study the engagement of its users. However, if they want to compare their own performance in relation to similar institutions or competitors, they are forced to seek the paid services of analyst firms. Alternatively, they may refer to the data from another source, i.e. Facebook’s API. This is exactly the way we decided to check whether researchers or cultural event organisers can gain a basic understanding of any fan page, while performing their own studies and visualisations.
Karol Piekarski, Waldemar Węgrzyn
20 02 2017
Studio NAND: There is nothing worse than a visualisation that tries to convey too much information at once
On January 9–10, Medialab once again had the pleasure of hosting Steffen Fiedler and Stephan Thiel of Berlin’s design studio NAND, who gave an open lecture, and conducted a two-day workshop for representatives of institutions working jointly on the Shared Cities project. In an interview given to Medialab, the data visualisation experts talked about their work, best visualisation practices and the future of the industry.
Łukasz Mirocha
30 01 2017
Cultural data analysis is consistent with the positive smart city vision
Working under guidance from data science expert Piotr Migdał as part of our Shared Cities project, the workgroups are developing a range of tools for the analysis and visualisation of social media data. Network analysis conducted with these tools allows us to study the declared participation in Katowice’s cultural activities and present it in different forms.
Łukasz Mirocha