@misc{Zdradzisz_Marcin_Quantitative,
 author={Zdradzisz, Marcin and Nowakowska, Marzena},
 howpublished={online},
 publisher={Zielona Góra: Faculty of Economics and Management Press},
 language={eng},
 abstract={Research background and purpose: Participatory budgeting (PB) plays an important role in a city live. It strengthens democracy, improves transparency of public expenditures, helps allocate resources more efficiently, and increases civic responsibility. In order to assess how such a mechanism contributes to public involvement and which initiatives are prioritized by the community engaged in the participatory budgeting process, a pilot study was undertaken for a selected Polish voivodeship city - Kielce. Attention was paid to the category of winning tasks, considering the classification by project type and its narrative.},
 abstract={Design/methodology/approach: The exploratory analysis was carried out on real unit data. Data on projects submitted by residents were collected from websites using web scraping tools. The article relies on the case-study method as well as on the methods of quantitative and qualitative analysis. The narrative data were explored with the assistance of machine learning technology - Natural Language Processing (NLP) and the results were illustrated in the form of a Word Cloud.},
 abstract={Findings: The conclusions of the picture of participatory budgeting in the chosen city are decidedly positive. It is a tool that promotes democratization of decision-making processes and involvement of citizens in public life. It is significant that the local community opts for soft projects, particularly green ones.},
 abstract={Value added and limitations: This study investigates the changes in citizen engagement in PB using a time- and project-type-oriented quantitative approach. Furthermore, a machine learning-based qualitative approach in terms of NLP was employed to capture the major PB issues and topics, which is rather absent in this research field. As a pilot study, this research is limited to a single city and begins to explore text processing algorithms in such analysis. The promising results suggest potential for research development in the future.},
 title={Quantitative and qualitative aspects of participatory budgeting - the Kielce case study},
 type={artykuł},
 keywords={participatory budgeting, civil society, case study, qualitative and quantitative analysis, NLP, budżet partycypacyjny, społeczeństwo obywatelskie, studium przypadku, analiza jakościowa, analiza ilościowa},
}