共同创建非洲土地治理研究议程:非洲土地治理研究人员网络(NELGRA)的经验

E. D. Kuusaana, U. E. Chigbu, J. Kidido, B. S. Biitir, J. Zevenbergen, G. Morenikeji, U. W. Azupogu
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引用次数: 1

摘要

非洲和非洲人对引领创新研究和制定土地治理综合政策的挑战的反应是最近的事情。在整个非洲大陆,非洲土地政策中心(ALPC)特别通过其非洲土地治理卓越网络(NELGA)强调并优先考虑土地治理方面的知识获取和能力发展。尽管通过NELGA取得了进展,但在发展土地治理研究能力方面的影响方面,区域和地方两级仍然存在差距。在土地治理的背景下,研究网络是相互联系的团体,他们致力于特定主题的学术研究或专注于新兴的土地管理范式。多年来,许多机构已经成为土地治理能力建设一揽子计划的目标,很少关注科学家本身以及他们自建的研究网络如何有助于促进良好和可持续的土地治理。这篇论文认为,促进非洲研究组合发展(和/或扩大)的战略之一是运行半正式到非正式的研究网络,聚焦于个体的研究人员,这可以加强非洲研究人员之间的合作,以改善基于当地观察和科学调查的情景的知识共同创造。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Co-creating land governance research agenda by, for, in, and on Africa: Experience of Network of Land Governance Researchers on Africa (NELGRA)
ABSTRACT Africa and Africans’ response to the challenge of spearheading innovative research and in formulating comprehensive policies on land governance are very recent. Across the continent, the African Land Policy Centre (ALPC) has emphasized and prioritized knowledge acquisition and capacity development on land governance especially through its Network of Excellence for Land Governance in Africa (NELGA). Notwithstanding the strides made through NELGA, there are still gaps at both the regional and local levels in terms of impacts in developing research capacities in land governance. In the context of land governance, research networks are inter-connected groups who are dedicated to academic research in and on a specific subject or focus on the emerging paradigms of land management. Over the years, many institutions have been targeted with capacity building packages on land governance, with little focus on the researchers themselves and how their self-built research networks could be useful in promoting good and sustainable land governance. This paper argues that one of the strategies for facilitating the development (and/or expansion) of African research portfolios is the operation of semi-formal to informal research networks focusing on individual researchers that can enhance collaborations among African researchers to improve co-creation of knowledge based on locally observed and scientifically investigated scenarios.
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