PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 1, 20250 citations

Pregled Minipart Projekta: Unapređenje Participativnog Planiranja U Rudarskim Regionima

View Full Paper
TMTamara MaričićMPMarijana Pantić

Key Points

  • The MINIPART project enhances public participation in decision-making for mining areas, addressing trust issues.
  • It employs a mixed-methods approach, using surveys and interviews to gauge community needs and effectiveness.
  • The project focuses on areas facing environmental, economic, and social challenges from mining activities.
  • It includes a database of participatory methods, derived from literature reviews and consultations with locals and experts.

Abstract

This paper presents the research framework of the scientific project MINIPART – Improving Participation in Spatial Planning of Mining Areas, funded by the Science Fund of the Republic of Serbia through the PRISMA program (Grant #7598). The project focuses on communities facing environmental, economic, and social challenges caused by intensive mineral resource exploitation. Growing public opposition and resistance from non-governmental organisations to mining projects stem from concerns about negative impacts and exclusion from decision-making processes, resulting in increasing distrust in state institutions. The MINIPART project employs a mixed-methods approach—combining qualitative and quantitative techniques—to identify effective public participation methods and tailor them to the needs of various stakeholders. The project develops a database of participatory methods based on a review of relevant literature, an international study visit, and consultations with citizens and experts. These methods are being tested in the City of Bor and the Municipality of Majdanpek through surveys, interviews, and focus groups.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Maričić et al. (2025) studied this question.

synapsesocial.com/papers/68af5218ad7bf08b1ead9b4chttps://doi.org/10.46793/urbanizam25.049m
Ask AI
Helpful
Bookmark
Share
View Full Paper