The paper refers to the research Trash in the Wild: A Pilot Project Mapping Citizenship Environmental Activism in the Collaborative Study in the Lodz Area. In the study, inhabitants of Lodz (Poland) were invited to participate in data gathering and create a map of unauthorized dumps in their city. The collaborative mapping was intended to localize problematic spots in the city of Lodz, but it also shows civic commitment and the inhabitants’ ecological consciousness level. The authors based on ethnographic data (observations, walk-alongs, interviews, and data obtained from institutions), attempting to develop a situational analysis of the phenomenon of illegal dumps in the city. The analysis reveals how different positions of the City Guard, Municipal Economy Department, waste disposal companies, journalists, environmental activists, researchers, and citizens participating in the project vary their standpoints and views on the studied problem. Presenting the context and first results of the research, the authors refer to the issue of building relationships with researched subjects during the investigation process. Trying to navigate between them, researchers strive to introduce their different, sometimes contradictory, viewpoints into the research, not losing their commitment and the valuable data they can submit. The analysis shows that the issue of illegal dumps lies at the intersection of many discourses and involves numerous social worlds, organizations, and entities. In this dynamic situation, many practices and conditions contribute to the persistence of the problem of illegal waste disposal.

Czy sztuczna inteligencja pozbawia nas pracy? Algorytmy przejmują władzę nad światem? Czy big data sprawia, że jesteśmy bezustannie inwigilowani? Czy ogromna ilość danych zastępuje ekspertów i naukowców? Cokolwiek sądzimy na te tematy, jedno jest pewne – istnieje heterogeniczne środowisko ludzi, zajmujących się tzw. „sztuczną inteligencją” czy tzw. „big data” od strony technicznej i metodologicznej. Pole ich działania nazywane jest data science, a oni data scientists. Ta książka poświęcona jest właśnie im, polskiemu środowisku data science. Jest to pierwsza monografia socjologiczna dotycząca data science i pierwsza praca w naukach społecznych, w której data science zostało zbadane jako społeczny świat w rozumieniu Adele E. Clarke. To podejście pozwala spojrzeć na data science, nazwane dekadę wstecz w Harvard Business Review „najseksowniejszym zawodem XXI w.”, zarówno z perspektywy jego uczestników jak i z lotu ptaka, w relacji do akademii, biznesu, prawa, mediów czy polityki.

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AN ATTEMPT TO DEVELOP A METHODOLOGY OF MEASURING FILTER BUBBLES IN GOOGLE SEARCH ENGINETh e authors proposed a method of quantitative measurement of the phenomenon of fi lter bubbles in Google search engine. Firstly, he topic was taken up because of the lack of such a method in the academic world and the proposal of a competitor to Google, DuckDuckGo. Secondly, because of the social consequences of the phenomenon of fi lter bubbles raised by activists and researchers. Th e aim was to test the used methodology of quantitative measurement of the phenomenon of information bubbles and to refi ne it. A pilot survey was conducted on a homogeneous group in an experimental scheme. It consisted in comparing sets of search results (SSR) in the normal mode of a web browser, logged into a Google account with SSR in the private (incognito) mode logged out of that account. One political search term was used -"Paweł Adamowicz". Th e SSR was treated as a sequence of characters, a string, and compared in two web browser's modes using the optimal string alignment distance method. Th e open sourced data and code allow readers to trace and reproduce the analyses made. Th e results do not indicate that the diff erences in the SSR are infl uenced neither by the world view in terms of liberalism/conservatism nor by the attitude to control the privacy of the Internet user. Th e infl uence was noted for the degree of personalization of the SSR in the normal web browser mode.

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