Heritage and Diversity: Values in European Heritage Management Reflected in Award-Winning Best Practices

The EU_CUL research network project, which is a collaboration of academics in heritage studies and in pedagogy, explored the use of cultural heritage for fostering social responsibility in higher education (Erasmus + project. In this context, research was conducted on inspirational examples and best practices in heritage management that include social and other societal values of heritage. This included award winning heritage practices in Europe. Heritage awards have, as a good practice assessment methodology, the potential to promote particular implemented practices. They can therefore help us find out what is considered ‘best practices’ in heritage management. An analysis of these practices also enables us to identify patterns, trends and potential biases. Sub-questions posed were: what is considered a ‘best practice’ in heritage awards? What kind of practices get these prizes and recognitions? What kinds of heritage are included and get the most attention? To what extent is the diversity of heritage, values and individuals in Europe represented? This chapter will discuss the results of this analysis of heritage awards and critically discuss the patterns that emerge and how this relates to governance and leadership in heritage management. The research is limited to Europe, it focuses on EAA and Europa Nostra, thus national prizes were not included.

Open Science Expectations for Simulation-Based Research

There is strong agreement across the sciences that replicable workflows are needed for computational modeling. Open and replicable workflows not only strengthen public confidence in the sciences, but also result in more efficient community science. However, the massive size and complexity of geoscience simulation outputs, as well as the large cost to produce and preserve these outputs, present problems related to data storage, preservation, duplication, and replication. The simulation workflows themselves present additional challenges related to usability, understandability, documentation, and citation. These challenges make it difficult for researchers to meet the bewildering variety of data management requirements and recommendations across research funders and scientific journals. This paper introduces initial outcomes and emerging themes from the EarthCube Research Coordination Network project titled “What About Model Data? - Best Practices for Preservation and Replicability,” which is working to develop tools to assist researchers in determining what elements of geoscience modeling research should be preserved and shared to meet evolving community open science expectations.Specifically, the paper offers approaches to address the following key questions:• How should preservation of model software and outputs differ for projects that are oriented toward knowledge production vs. projects oriented toward data production?• What components of dynamical geoscience modeling research should be preserved and shared?• What curation support is needed to enable sharing and preservation for geoscience simulation models and their output?• What cultural barriers impede geoscience modelers from making progress on these topics?

The influence of risks on the outturn cost of ICT infrastructure network projects

Purpose The internet of things (IoT) is becoming an increasingly inescapable part of society. IoT paradigm cannot function without the networking infrastructure. High-speed data networks are essential to enable the IoT future. Thus, the purpose of this study is on the identification of risks that influence the development, installation and operation of information and communication technology (ICT) infrastructure network project cost outcomes. So far, there has been little attention has been paid to risks problems in these types of IoT enabling projects. Design/methodology/approach This research follows a quantitative analysis approach. Data for this study were collected by a survey from 209 professionals. Multiple regression analysis was used to model the relationship between risks and outturn cost of infrastructure needed to enable the operation of IoT technologies. Findings The main risk factors that were identified were planning and development, people and management, operations, technology and hardware. Research limitations/implications This research has expanded the existing literature by documenting and clustering ICT infrastructure network project risks into themes, and has developed a scale (risk statements) for measuring such risks. Further, the research has advanced the understanding by identifying the most likely risks that will contribute to the overrun of these projects. Originality/value This research establishes a reliable regression method for the assessment of the risks that influence the development, installation and operation of ICT infrastructure network projects outturn cost. No other research has measured or studied the risks in this type of project.

Sustainable Engagement with Indigenous Settlements in Prohibited Areas: Case Study of Karen Tribe Villagers in the Kaengkrachan Forest Complex, Thailand

Cultural Housing Network Project under collaboration by The Department of National Park, Pidthong Foundation and Chulalongkorn University has been initiated as a social engagement to solve conflicts between the Department of National Park and Primitive Karen tribe villagers in this prohibited area. Treatment bamboo for multi-utilizing and pre-establishing of village working group for cultural promotion has been raised as the key success factors, in parallel with trial and error activity for natural and cultural tourism. These were engaged to reconstruct the village pride of their local wisdom and widen up the job opportunity for their next generation, under restricted regulation by the Department of National Park and long-term distrustful conflicts between both sides. Chulalongkorn University and Pidthong Foundation, as the academic and NPO sectors, have to retain their neutral stances by following up a consensus roadmap of sustainable engagement plan, to counter measurement with any unexpected emerging pressures from both sides.