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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
18 10 2017
12 things you will learn about Katowice culture thanks to Medialab research
Only a few years ago, no one would have conceived a thought of Katowice becoming a city associated with culture. In 2015, however, following a brief yet intensive period of investment in cultural infrastructure and cultural events, Katowice joined the exclusive international group of UNESCO Creative Cities. Has the city undergone a true cultural revolution? Is Katowice’s current en-vogue status just a passing fad or could it be a herald of major changes in the city centre? In order to find out, we teamed up with cultural researchers, designers, programmers and analysts to study responses given by 3633 participants in over a dozen local events, and analyse tens of thousands of posts published in social media and web-based information services. What we present below is a 12-point list of things to look out for in the exhibition and report summarising our project.
Karol Piekarski
15 08 2017
How we used Google Maps to review the transport accessibility of cultural institutions
What does it mean that an institution is easily accessible to participants? The problem of accessibility is certainly not limited to transportation networks and means of transport. Using the example of one educational institution, we show how the Google Distance Matrix API can be used to do carry out transport accessibility studies.
Karol Piekarski
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
10 01 2017
What does data tell us about culture? Data-driven research
Thanks to data-driven research we are able to explore the relationship between knowledge about the behaviours of social media users with the research on consumers of culture conducted by traditional methods. This way, we combine the accuracy of surveys and their capacity for revealing the motivations of respondents with the advantages of automated analysis of large data sets, which makes it easy to discover the so-far unnoticed trends and relationships.
Karol Piekarski