@book{Doe2019, author = {Doe, Jonathan Bill}, title = {Archaeology of wetland commons : Anlo adaptive management of Keta Lagoon}, editor = {Schwarz, Astrid}, issn = {2749-151X}, doi = {10.26127/BTUOpen-5830}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-58303}, publisher = {BTU Cottbus - Senftenberg}, year = {2019}, abstract = {Wetlands have gained tremendous importance since the 1970s, both in scientific discussion and in government policy discourse. The Ramsar Convention provided some clarity in definitions of wetlands and their natural and social significance. However, the current scientific understanding of wetlands was constructed in the centers of knowledge production in the West. One of the consequences has been that local knowledge of wetlands has been obscured or ignored altogether. This research uses methods of historical archaeology, ethnography, and archival work to explore the Anlo's local knowledge of wetlands in Ghana. Anlo local knowledge includes unique forms of wetland ownership arrangements, appropriate management approaches, and so-called atsidza are used as epistemic tools. Bryan Norton's conceptual framework of adaptive management gives an important role to local experimentation and is therefore seen as a key tool for sustainable management. Adaptive management is understood as anlo-style consensus-building management to appropriately incorporate local knowledge and western science into wetland management. The concept of adaptive management is modified accordingly to integrate postcolonial studies of knowledge production and thus can also contribute to the critical analysis of the integration of local knowledge, which has tended to be underestimated or even ignored in postcolonial theories.}, subject = {Anlo; Ramsa Convention; Adaptive Management; Consensus Building; Commons; Anlo; Ramsa-Konvention; Adaptives Management; Konsensbildung; Commons; Ghana; Feuchtgebiet; Ramsar-Konvention. - 1971 Februar 02; Risikomanagement; Konsens; Ahlo}, language = {en} } @misc{Kadalassery2025, type = {Master Thesis}, author = {Kadalassery, Meenu}, title = {Big Data's role in shaping UNESCO's cultural policies : a critical analysis within the scope of the 2005 convention on the diversity of cultural expressions}, doi = {10.26127/BTUOpen-7093}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-70934}, school = {BTU Cottbus - Senftenberg}, year = {2025}, abstract = {The rise of digital technologies and the vast quantities of data they generate are transforming multiple sectors, including culture. However, the cultural sector's engagement with these technologies and their potential remains underexplored. Amid rising criticisms of the cultural sector for its inefficient use of existing data and its lack of innovation in leveraging new data sources for the sector's benefit, there are calls for a renewed approach to data use and a nuanced understanding of its impact on cultural policymaking. Big Data, an emerging topic of interest in policymaking, has been studied for its capacity to support evidence-based decision-making. Additionally, it is increasingly being explored as an alternate data source in research within the culture and heritage sector, especially for supporting policymaking. This study examines the broader discourse on the use of Big Data in cultural policymaking, focusing on its perception as an innovation, the stages of its adoption or rejection, and the types of innovation decisions that influence those stages. Anchored in the Diffusion of Innovation theory, the analysis is framed within UNESCO's 2005 Convention on the Diversity of Cultural Expressions. Additionally, the research identifies key challenges and opportunities for integrating Big Data into cultural policymaking, both within the framework of the 2005 Convention and in a broader context. The research proposes a conceptual framework that suggests considering Big Data as a potential facilitator for cultural policy innovation and advocates for its further examination. The research concludes with actionable recommendations and a broad-level guideline for advancing the discussion on the viability of Big Data as an innovation for cultural policymaking.}, subject = {Big Data; Cultural policymaking; Data innovation; 2005 UNESCO Convention; Diffusion of Innovations theory; Big Data; Kulturpolitik; Dateninnovation; UNESCO-Konvention von 2005; Theorie der Diffusion von Innovationen; Kulturpolitik; Kulturwirtschaft; Big Data; Innovation; Convention on the Protection and Promotion of the Diversity of Cultural Expressions (2005 Oktober 20)}, language = {en} }