书目名称 | Knowledge Management for Regional Policymaking |
编辑 | Robert Laurini,Peter Nijkamp,Louafi Bouzouina |
视频video | http://file.papertrans.cn/544/543984/543984.mp4 |
概述 | Includes outcomes of the workshop on “Spatial knowledge as a tool for strategic and data-based regional policy”.Discusses strategies for data-driven policy-making.Shows how to optimize knowledge manag |
图书封面 |  |
描述 | .The present publication focusses the attention on new avenues in regional information and knowledge management, while we will zoom in particularly on the potential promises and hurdles of digital technology. This digital challenge has already generated a wealth of implications in the area of smart or intelligent cities, but as yet far less has been achieved in the field of regional planning and regional science. There is clearly a need for a more systematic and wide-ranging assessment and presentation of emerging approaches and concepts in this field, for instance, in regard to principles (e.g. geographic rule modeling), methodologies (e.g. blockchain systems), data analytics (e.g. machine learning) and data governance (e.g. data sovereignty) of regional information and knowledge. Especially in our ‘big data’ era, a systematic, comprehensible and reliable acquisition, storage, sharing and handling of data (e.g. on the basis of systematic decomposition and filtering principles) is more needed than ever before...The present study seeks to present a selection of state-of-the-art contributions on advanced – often digitally-oriented – regional information and knowledge management found |
出版日期 | Book 2022 |
关键词 | knowledge engineering; regional studies; geography; GIS solutions for local authorities; Infrastructure |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-15648-9 |
isbn_softcover | 978-3-031-15650-2 |
isbn_ebook | 978-3-031-15648-9 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |