Project Visible data_financing culture brings up together topics on visual communication, design, technology, new media and culture politics. By using efficient tools of information design and visualization language it makes budget for culture structures more visible.
Visible Data 1/ 2010
Visible Data 2/2012
Visible Data 3/2012
Visible Data, financing culture / exhibition
Place: Gallery PF01, Bratislava, Slovakia / Date: December 13, 2011 – January 31, 2012 / Organization and curator: Open Design Studio / Exhibiting authors: Marina Armuš (RS), Anna Bárdy (HU), Marko Brkić (RS), Elena Čániová (SK), Marek Chmiel (CZ), Miloš Ćosović (RS), Miroslav Dajč (RS), Ex Lovers (CZ), Abel van Gijlswijk (NL), Ábris Gryllus (HU), Gergely Hangyás (HU), Marco Hendriks (NL), Hana Hudáková (SK), Ana Jabłonowska (PL), Marcin Kacperek (PL), Juraj Kočár (SK), Lukáš Kijonka (CZ), Dawid Korzekwa (PL), Katarína Lukić Balážiková (SK), Roman Mackovič (SK), Dawid Malek (PL), Jakub Mašita (CZ), Alicja Masiukiewicz (PL), Branislav Matis (SK), Veronika Melicherová (SK), Boris Meluš (SK), Martin Mistrík (SK), Tomasz Niemiec (PL), Predrag Nikolić (RS), Ivana Palečková (SK), Hristina Papadopulos (GR/RS), Basia Pospischil (PL), Ivana Radmanovac (RS), Małgorzata Rusin (PL), Anna Salomon (PL), Lubica Segečová (SK), Lucia Šimková (SK), Jiří Toman a Barbora Toman Tylová (CZ)
The main concept of the exhibition was to reflect the lack of interest in cultural policy in Slovakia. One part of the exhibition presented individual visions on and visualizations of various data showing actual problems in Bratislava and Slovakia regarding culture financing and cultural policy. Second part of exhibition presented visualizations of national, regional and municipal budgets for culture from 2011 in Slovakia, Serbia, Netherlands, Hungary, Poland and Czech Republic created by graphic designers and artists from the stated countries. Third part of the exhibition presented the website www.visibledata.sk, which is one of the main outputs of this international project where visualizations are generated by choosing specific data sets and design and so can be used by the public.