Abstract

Abstract. Land subsidence in areas with weak soils affects a large part of the Netherlands and causes many problems. To solve them diverse and specialized knowledge of possible measures to prevent, mitigate or reverse land subsidence is needed. This knowledge is fragmented over many agencies, companies and individuals. Here we show how data and knowledge are related and we stress the importance of implicit knowledge for knowledge transfer on land subsidence. It is demonstrated that land subsidence in the Netherlands is a “wicked problem”. This makes its solution cumbersome. However, we show that self-learning digital environments can help considerably in knowledge acquisition, storage and retrieval. We give an inventory of research questions that have still to be answered to make an digital environment really effective for a wicked problem like land subsidence.

Highlights

  • In the Netherlands, significant land subsidence takes place in areas with “weak soils” (Fig. 1)

  • Implicit knowledge plays a large(r) role within a “wicked problem” context; experience and learning are even more important. This means that unlocking knowledge on land subsidence – and a digital environment that supports this – must be about unlocking explicit knowledge as well as unlocking implicit knowledge

  • Using self-learing systems, intelligence can be built into the digital environment (Domingos, 2015; Käfer and Harth, 2018; Stanley, 2017; Witten et al, 2016): (1) Intelligence to find the right terms and concepts in reports and texts and store them via “linked data”. (2) Intelligence to perform calculations and monitoring, for example of expected land subsidence

Read more

Summary

Introduction

In the Netherlands, significant land subsidence takes place in areas with “weak soils” (peat and clay soils) (Fig. 1). Existing knowledge and experience is often fragmentarily available, which makes them difficult to disclose to all potentially interested parties This makes it difficult to apply adequate solutions for land subsidence problems (Twynstra Gudde, 2018). New knowledge is developed rapidly and new experiences are gained continuously This problem gave rise to research on how this problematic disclosure of knowledge on land subsidence in the Netherlands could be tackled. Conclusions are drawn and suggestions for further research identified

Land subsidence
Disclosing explicit knowledge
Disclosing implicit knowledge
Use of digital environments
Analysis
Conclusions
How can such a digital environment look like?
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call