That expressive writing can be a beneficial response to trauma or grief is well-established in the literature. Grief research also shows that the majority of people are resilient in the face of the death of loved ones. That said, traditional rituals around loss are no longer ubiquitous, well-known phase models of bereavement are contested, and ‘unfinished business’ can create difficulties in the face of loss. Increasingly, bereavement scholars speak of a need for individuals in western society to make meaning of their own grief through narrative construction, though little is said about what constitutes a beneficial story. The author takes an autoethnographic approach to write and reflect on her spouse’s illness and death and explores through a multi-voiced expressive dialogue a personal issue around her bereavement. In an analysis of her writing, using Dialogical Self Theory, she identifies markers which may be indicative of the development of a beneficially constructed narrative. The model of writing-for-transformation is used to describe the overall intent of the process, while the dialogical markers show how progress may be identified. Reinekke Lengelle (2020) Writing the Self and Bereavement: Dialogical Means and Markers of Moving Through Grief, Life Writing, 17:1, 103-122, DOI: 10.1080/14484528.2020.1710796
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Writing as soul work refers to the active engagement of students in transformative writing activities in a group setting with the aim to enable students to develop new, more empowering narratives. This article explains how soul work through writing can be used to foster career adaptability, expressed in the form of increased awareness and self-direction. We summarize the labour market realities that underlie a need for more narrative approaches and introduce writing as soul work as a potential method to respond to these contemporary career challenges. We define what is meant by soul work and writing, illustrate its use with several stories from practice, and make recommendations for teachers and implementation in institutions. “This is an Accepted Manuscript of an article published by Taylor & Francis in "British Journal of Guidance and Counsellingon" on 04/16/2016 available online: https://doi.org/10.1080/03069885.2016.1169366 LinkedIn: https://www.linkedin.com/in/reinekke-lengelle-phd-767a4322/
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In this chapter, we propose that the democracy we wish to see out in the world is influenced by the quality of our own “inner democracies”—that is: the quality of the democracies among and between the selves or voices in the landscape of the self. We must find ways out of the I-prisons we experience and perpetuate. With this in mind, we propose that ”writing the self,” a method whereby creative, expressive, and reflective writing is used to cultivate an internal dialogue and construct a new identity narrative (Lengelle, 2014), can assist in reshaping our stories about ”the Other and ourselves” and can contribute to personal and cultural healing and reconciliation. The inner dialogue reconciled is foundational for the external dialogue at the heart of global citizenship within education. Indeed, as Schellhammer argues, we must cultivate the self in order to become inter-culturally competent, and this includes facing shadow aspects through truthful dialogues with the self and caring for the self. https://doi.org/10.1007/978-3-319-62861-5_6 LinkedIn: https://www.linkedin.com/in/reinekke-lengelle-phd-767a4322/
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Aanleiding Nieuwsuitgeverijen bevinden zich in zwaar weer. Economische malaise en toegenomen concurrentie in het pluriforme medialandschap dwingen uitgeverijen om enerzijds kosten te besparen en tegelijkertijd te investeren in innovatie. De verdere automatisering van de nieuwsredactie vormt hierbij een uitdaging. Buiten de branche ontstaan technieken die uitgeverijen hierbij zouden kunnen gebruiken. Deze zijn nog niet 'vertaald' naar gebruiksvriendelijke systemen voor redactieprocessen. De deelnemers aan het project formuleren voor dit braakliggend terrein een praktijkgericht onderzoek. Doelstelling Dit onderzoek wil antwoord geven op de vraag: Hoe kunnen bewezen en nieuw te ontwikkelen technieken uit het domein van 'natural language processing' een bijdrage leveren aan de automatisering van een nieuwsredactie en het journalistieke product? 'Natural language processing' - het automatisch genereren van taal - is het onderwerp van het onderzoek. In het werkveld staat deze ontwikkeling bekend als 'automated journalism' of 'robotjournalistiek'. Het onderzoek richt zich enerzijds op ontwikkeling van algoritmes ('robots') en anderzijds op de impact van deze technologische ontwikkelingen op het nieuwsveld. De impact wordt onderzocht uit zowel het perspectief van de journalist als de nieuwsconsument. De projectdeelnemers ontwikkelen binnen dit onderzoek twee prototypes die samen het automated-journalismsysteem vormen. Dit systeem gaat tijdens en na het project gebruikt worden door onderzoekers, journalisten, docenten en studenten. Beoogde resultaten Het concrete resultaat van het project is een prototype van een geautomatiseerd redactiesysteem. Verder levert het project inzicht op in de verankering van dit soort systemen binnen een nieuwsredactie. Het onderzoek biedt een nieuw perspectief op de manier waarop de nieuwsconsument de ontwikkeling van 'automated journalism' in Nederland waardeert. Het projectteam deelt de onderzoekresultaten door middel van presentaties voor de uitgeverijbranche, presentaties op wetenschappelijke conferenties, publicaties in (vak)tijdschriften, reflectiebijeenkomsten met collega-opleidingen en een samenvattende white paper.
Management policy for protected species is currently often based on literature reviews and expert judgement, even though it requires tailor-made species knowledge on a local level. While wildlife management should preferably be evidence based, tailor-made field data is seldom used in current practices, because it is hardly available, difficult to collect and expensive. Recent development of digital technology is changing the field of wildlife management with “more, better, faster and cheaper” ways of data collection. Especially automated collection of field data with different types of sensors is promising, whereas miniaturization and low cost mass-production increase availability and use of these sensors. For collection of field data about predator-prey interactions, there is a need to develop wireless sensor networks that automatically identify different species in a community, while they record their spatially explicit data and their behaviour. Therefore, we will put together a consortium of partners that will develop a EU LIFE programme proposal, with the focus to develop a sensor network necessary to automatically monitor multiple species (i.e., species communities) for species conservation management. The consortium will consist of Van Hall Larenstein, Sovon Dutch Centre for Field Ornithology, the Dutch Mammal Society, Sensing Clues and DIKW intelligence. It will bring together a strong mix of expert knowledge on applied species conservation and wildlife management, ecological field research, wildlife intelligence, and handling and analysis of big data. This project matches the Top sector High-tech Systems & Materials, and revolves around 4 distinct phases: selection of potential consortium partners, exploration of the problem, working towards a common action perspective and writing a EU LIFE programme proposal. We will use knowledge co-creation techniques to explore the first three project phases.
