Environmental or ‘green' education is an important driving force behind the ‘greening' of society as it plays a critical role in raising environmental awareness and preparing students for green jobs. None of the existing environmental attitudes and behavior measures is focused on the evaluation of green education, especially in relation to consumption. To date, no longitudinal studies of children and students' attitudes towards consumption influenced by education exist. Also, little has been done to explore the socio-cultural context in which attitudes toward consumption are being formed and to explain the cross-cultural differences in environmental attitudes. This pilot study is designed to take the first step towards developing methods complementing existing quantitative measurements with qualitative strategies, such as consumption diaries, focus groups, and concept mapping. While this research is just a first attempt to tackle children's knowledge and attitudes consumption, preliminary results of the research on which this chapter is based and enthusiasm of the research participants encourage the author to stress the importance of consumption studies as part of green education for educational program developers. As a chapter of this volume, the author hopes that this study will add to the anthropological depository of research on the cultural variants in the perception of the environment in children. This chapter draws upon the consumption diaries collected from the upper-elementary school children in Amsterdam, The Netherlands, between September 2009 and May 2010. Consumption diaries are chronological documents recording purchase, use, and waste of materials, which can be used both as analytical tools and the means to stimulate environmental awareness. The four main methodological steps involved in this research were as follows. Children were asked to complete the consumption diary, paying specific attention to use and waste materials. Consequently, focus group meetings were held with parents and their children to discuss the diaries. Finally, interviews with the children were conducted in order to generate statements that supplement those generated by focus groups for carrying out the concept mapping analysis. The concept mapping analysis was then conducted to organize the order and analyze the ideas expressed in the focus group and interview sessions. This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in "Environmental Anthropology Today" on 8/5/11 available online: https://doi.org/10.4324/9780203806906 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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This article discusses the rationale for using language diaries as a method to evaluate language use and language choice in multilingual contexts, as well as the benefits and limitations of this approach vis-à-vis other research methods. This is illustrated using examples from two contexts: Flemish Sign Language/Dutch bilinguals in Flanders and Gaelic/English bilinguals in the Western Isles of Scotland. In both cases, the language diaries were part of a larger mixed-method study which aimed to evaluate language use and language choice in contexts in which the majority language is in almost all instances the unmarked choice. Language diaries provide a new perspective on individual language practices as they allow for an evaluation of contextualised examples of language use and give insight into the factors that drive language and modality choice, and language ideologies. Language diaries give participants ownership over the information shared with the researcher and provide access to a number of different domains. Despite being based on self-reported practices, their situated nature demonstrates how language use can change through personal circumstances. This in turn contributes to a greater understanding of the use of Flemish Sign Language and Gaelic in the wider sociolinguistic contexts in which these languages exist.
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Diaries have been used regularly in various intensive care units (ICUs) in international settings. Hard copy diaries written by relatives became impractical during the COVID-19 pandemic due to ICU visiting restrictions and infection control considerations. The implementation of a web based application, named the “Post-ICU” diary, offered relatives the ability to collaboratively write in a digital diary, to easily upload photos, video and audio clips and to feel engaged with the patient at a safe distance. In addition it allowed nurses to easily provide up-to-date information. The aim of this pilot study was to explore the experiences of ICU nurses with the implementation process and application of the Post-ICU diary.
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The bio-transition will require mass mobilization of biomass for industrial feedstock, of which lignocellulose from agricultural residues is a promising sustainable source. Agricultural lignocellulosic residues (ALR) are available in varying densities across the EU and offer an opportunity to improve environmental outcomes in agriculture as well as in refining. While technologies are emerging, the future demands of industry for ALR are not understood, limiting the ability of biomass intermediaries to develop a supply chain. This project is a collaboration of Looop, BioGrowth Development (BD), and MNEXT, with the aim to quantify and characterize ALR in the EU and match it to expected demand from the refining industry. The spatial distribution of ALR, as well as the technical requirements of refineries, are critical components to developing a sustainable supply chain. Looop aspires to create circularity between ALRs and industry, and together with the biomass consulting experience of BD have approached MNEXT to leverage their knowledge of biorefinery applications. The focus of the project is to spatially model ALR availability across the EU and identify locations where mobilizing biomass for biorefining is most feasible according to technical, environmental, and logistical considerations. The one-year collaboration enables sufficient mapping, modeling, and exploration of parameters, with a focus on creating results applicable to a wide range of future scenarios. The project makes use of academic and industry knowledge to both create industry solutions and establish a starting point for further research.
In stedelijke regio’s wordt steeds meer verwacht van actieve bewoners en sociale ondernemers. Uit eerder onderzoek blijkt echter dat deze ‘stedelijke intermediairs’ vaak moeite hebben om zich aan te passen aan eisen uit de omgeving. Het lijkt dat maar een deel van hen in staat is om op een duurzame manier te wortelen in de wijk. We vragen ons af: Hoe zijn stedelijke intermediairs in staat om hun innovatieve praktijken door te ontwikkelen, ten einde tegemoet te komen aan omgevingseisen op de korte en lange termijn? Belangrijk bij deze vraag is hoe lokale overheden en andere partijen in de stad omgaan met innovatieve praktijken van intermediairs. Kortweg: Hoe kunnen omgevingspartijen aan het adaptieve vermogen van intermediairs bijgedragen? Dit onderzoeken we in Amsterdam, Utrecht, Den Haag, Leeuwarden en Zwolle. We zetten in op een longitudinaal perspectief door middel van: 1) 30 diepte-interviews met eerder onderzochte intermediairs; 2) Expertinterviews in de betrokken gemeenten om inzicht te krijgen in de ontwikkeling van de lokale governance context; 3) Living Lab bijeenkomsten waarin deze kennisontwikkeling binnen een netwerk van stedelijke experts en stakeholders wordt gedeeld. Deze analyse levert uiteindelijk een kennisnetwerk op van intermediairs, ambtenaren en wetenschappers waarin gekeken wordt naar de verduurzaming van stedelijke intermediairs en maatschappelijke initiatieven. De pop-up bouwt voort op (af)lopend SURF-onderzoek (smart-urban-intermediaries.com, april 2017 - september 2019).
Despite the benefits of the widespread deployment of diverse Internet-enabled devices such as IP cameras and smart home appliances - the so-called Internet of Things (IoT) has amplified the attack surface that is being leveraged by cyber criminals. While manufacturers and vendors keep deploying new products, infected devices can be counted in the millions and spreading at an alarming rate all over consumer and business networks. The objective of this project is twofold: (i) to explain the causes behind these infections and the inherent insecurity of the IoT paradigm by exploring innovative data analytics as applied to raw cyber security data; and (ii) to promote effective remediation mechanisms that mitigate the threat of the currently vulnerable and infected IoT devices. By performing large-scale passive and active measurements, this project will allow the characterization and attribution of compromise IoT devices. Understanding the type of devices that are getting compromised and the reasons behind the attacker’s intention is essential to design effective countermeasures. This project will build on the state of the art in information theoretic data mining (e.g., using the minimum description length and maximum entropy principles), statistical pattern mining, and interactive data exploration and analytics to create a casual model that allows explaining the attacker’s tactics and techniques. The project will research formal correlation methods rooted in stochastic data assemblies between IoT-relevant measurements and IoT malware binaries as captured by an IoT-specific honeypot to aid in the attribution and thus the remediation objective. Research outcomes of this project will benefit society in addressing important IoT security problems before manufacturers saturate the market with ostensibly useful and innovative gadgets that lack sufficient security features, thus being vulnerable to attacks and malware infestations, which can turn them into rogue agents. However, the insights gained will not be limited to the attacker behavior and attribution, but also to the remediation of the infected devices. Based on a casual model and output of the correlation analyses, this project will follow an innovative approach to understand the remediation impact of malware notifications by conducting a longitudinal quasi-experimental analysis. The quasi-experimental analyses will examine remediation rates of infected/vulnerable IoT devices in order to make better inferences about the impact of the characteristics of the notification and infected user’s reaction. The research will provide new perspectives, information, insights, and approaches to vulnerability and malware notifications that differ from the previous reliance on models calibrated with cross-sectional analysis. This project will enable more robust use of longitudinal estimates based on documented remediation change. Project results and methods will enhance the capacity of Internet intermediaries (e.g., ISPs and hosting providers) to better handle abuse/vulnerability reporting which in turn will serve as a preemptive countermeasure. The data and methods will allow to investigate the behavior of infected individuals and firms at a microscopic scale and reveal the causal relations among infections, human factor and remediation.
