Nurse clinician-scientists are increasingly expected to show leadership aimed at transforming healthcare. However, research on nurse clinician-scientists' leadership (integrating researcher and practitioner roles) is scarce and hardly embedded in sociohistorical contexts. This study introduces leadership moments, that is, concrete events in practices that are perceived as acts of empowerment, in order to understand leadership in the daily work of newly appointed nurse clinician-scientists. Following the learning history method we gathered data using multiple (qualitative) methods to get close to their daily practices. A document analysis provided us with insight into the history of nursing science to illustrate how leadership moments in the everyday work of nurse clinician-scientists in the “here and now” can be related to the particular histories from which they emerged. A qualitative analysis led to three acts of empowerment: (1) becoming visible, (2) building networks, and (3) getting wired in. These acts are illustrated with three series of events in which nurse clinician-scientists' leadership becomes visible. This study contributes to a more socially embedded understanding of nursing leadership, enables us to get a grip on crucial leadership moments, and provides academic and practical starting points for strengthening nurse clinician-scientists' leadership practices. Transformations in healthcare call for transformed notions of leadership.
MULTIFILE
There is increasing evidence that humans are not living sustainably. There are three major drivers of the unsustainable approach: population, consumption and the growth economy. There is widespread denial about these issues, but they clearly need to be addressed if we are to achieve any of the possible sustainable futures. The first and second versions of the ‘World Scientists Warning to Humanity’ both highlight the problem of increasing human population, as do the IPCC and IPBES reports. However, all have been largely ignored. The size of an ecologically sustainable global population is considered, taking into account the implications of increasing per capita consumption. The paper then discusses the reasons why society and academia largely ignore overpopulation. The claim that discussing overpopulation is ‘anti-human’ is refuted. Causal Layered Analysis is used to examine why society ignores data that do not fit with its myths and metaphors, and how such denial is leading society towards collapse. Non-coercive solutions are then considered to reach an ecologically-sustainable human population. LinkedIn: https://www.linkedin.com/in/helenkopnina/
MULTIFILE
During the past two decades the implementation and adoption of information technology has rapidly increased. As a consequence the way businesses operate has changed dramatically. For example, the amount of data has grown exponentially. Companies are looking for ways to use this data to add value to their business. This has implications for the manner in which (financial) governance needs to be organized. The main purpose of this study is to obtain insight in the changing role of controllers in order to add value to the business by means of data analytics. To answer the research question a literature study was performed to establish a theoretical foundation concerning data analytics and its potential use. Second, nineteen interviews were conducted with controllers, data scientists and academics in the financial domain. Thirdly, a focus group with experts was organized in which additional data were gathered. Based on the literature study and the participants responses it is clear that the challenge of the data explosion consist of converting data into information, knowledge and meaningful insights to support decision-making processes. Performing data analyses enables the controller to support rational decision making to complement the intuitive decision making by (senior) management. In this way, the controller has the opportunity to be in the lead of the information provision within an organization. However, controllers need to have more advanced data science and statistic competences to be able to provide management with effective analysis. Specifically, we found that an important skill regarding statistics is the visualization and communication of statistical analysis. This is needed for controllers in order to grow in their role as business partner..
DOCUMENT
In order to stay competitive and respond to the increasing demand for steady and predictable aircraft turnaround times, process optimization has been identified by Maintenance, Repair and Overhaul (MRO) SMEs in the aviation industry as their key element for innovation. Indeed, MRO SMEs have always been looking for options to organize their work as efficient as possible, which often resulted in applying lean business organization solutions. However, their aircraft maintenance processes stay characterized by unpredictable process times and material requirements. Lean business methodologies are unable to change this fact. This problem is often compensated by large buffers in terms of time, personnel and parts, leading to a relatively expensive and inefficient process. To tackle this problem of unpredictability, MRO SMEs want to explore the possibilities of data mining: the exploration and analysis of large quantities of their own historical maintenance data, with the meaning of discovering useful knowledge from seemingly unrelated data. Ideally, it will help predict failures in the maintenance process and thus better anticipate repair times and material requirements. With this, MRO SMEs face two challenges. First, the data they have available is often fragmented and non-transparent, while standardized data availability is a basic requirement for successful data analysis. Second, it is difficult to find meaningful patterns within these data sets because no operative system for data mining exists in the industry. This RAAK MKB project is initiated by the Aviation Academy of the Amsterdam University of Applied Sciences (Hogeschool van Amsterdan, hereinafter: HvA), in direct cooperation with the industry, to help MRO SMEs improve their maintenance process. Its main aim is to develop new knowledge of - and a method for - data mining. To do so, the current state of data presence within MRO SMEs is explored, mapped, categorized, cleaned and prepared. This will result in readable data sets that have predictive value for key elements of the maintenance process. Secondly, analysis principles are developed to interpret this data. These principles are translated into an easy-to-use data mining (IT)tool, helping MRO SMEs to predict their maintenance requirements in terms of costs and time, allowing them to adapt their maintenance process accordingly. In several case studies these products are tested and further improved. This is a resubmission of an earlier proposal dated October 2015 (3rd round) entitled ‘Data mining for MRO process optimization’ (number 2015-03-23M). We believe the merits of the proposal are substantial, and sufficient to be awarded a grant. The text of this submission is essentially unchanged from the previous proposal. Where text has been added – for clarification – this has been marked in yellow. Almost all of these new text parts are taken from our rebuttal (hoor en wederhoor), submitted in January 2016.
CRISPR/Cas genome engineering unleashed a scientific revolution, but entails socio-ethical dilemmas as genetic changes might affect evolution and objections exist against genetically modified organisms. CRISPR-mediated epigenetic editing offers an alternative to reprogram gene functioning long-term, without changing the genetic sequence. Although preclinical studies indicate effective gene expression modulation, long-term effects are unpredictable. This limited understanding of epigenetics and transcription dynamics hampers straightforward applications and prevents full exploitation of epigenetic editing in biotechnological and health/medical applications.Epi-Guide-Edit will analyse existing and newly-generated screening data to predict long-term responsiveness to epigenetic editing (cancer cells, plant protoplasts). Robust rules to achieve long-term epigenetic reprogramming will be distilled based on i) responsiveness to various epigenetic effector domains targeting selected genes, ii) (epi)genetic/chromatin composition before/after editing, and iii) transcription dynamics. Sustained reprogramming will be examined in complex systems (2/3D fibroblast/immune/cancer co-cultures; tomato plants), providing insights for improving tumor/immune responses, skin care or crop breeding. The iterative optimisations of Epi-Guide-Edit rules to non-genetically reprogram eventually any gene of interest will enable exploitation of gene regulation in diverse biological models addressing major societal challenges.The optimally balanced consortium of (applied) universities, ethical and industrial experts facilitates timely socioeconomic impact. Specifically, the developed knowledge/tools will be shared with a wide-spectrum of students/teachers ensuring training of next-generation professionals. Epi-Guide-Edit will thus result in widely applicable effective epigenetic editing tools, whilst training next-generation scientists, and guiding public acceptance.
Codarts wil met deze SPRONG-aanvraag het PErforming artist and Athlete Research Lab (PEARL) oprichten. PEARL is het nationale onderzoekscentrum dat zich richt op de gezondheid en vitaliteit van podiumkunstenaars (dansers, musici en circusartiesten) en sporters. Doel van PEARL is om bij podiumkunstenaars en sporters enerzijds gezondheidsklachten te voorkomen en anderzijds de gezondheid te optimaliseren, zodat zij in staat zijn om tot excellente prestaties te komen. PEARL bestaat uit acht fieldlabs. Dit zijn fysieke locaties in ‘het veld’ met unieke test- en meetfaciliteiten waar podiumkunstenaars, sporters, maar ook (revaliderende) patiënten ter plekke onderzocht en geadviseerd worden. Deze fieldlabs verzamelen onder leiding van onderzoekers gegevens over de gezondheid van podiumkunstenaars en sporters. De gegevens worden opgeslagen in een datawarehouse, geanalyseerd en op begrijpelijke wijze teruggekoppeld naar podiumkunstenaars, sporters en hun begeleiders. PEARL vormt de (tot nog toe ontbrekende) verbindende schakel tussen podiumkunsten, sport, zorg, onderzoek, onderwijs en bedrijfsleven. Dankzij de interdisciplinaire programmatische aanpak en visie kan PEARL inspelen op de doelstellingen en behoeften van alle betrokken partijen en deze effectief bedienen. PEARL brengt bewegingswetenschappers, fysiotherapeuten, sportartsen, ICT’ers, MKB’ers en data scientists samen. Zij kunnen gezamenlijk op basis van de data podiumkunstenaars, sporters en hun begeleiders trainingsprogramma’s op maat aanbieden. Dankzij deze unieke krachtenbundeling is het met PEARL mogelijk wetenschappelijk gefundeerd beleid te maken om de gezondheid van podiumkunstenaars en sporters te optimaliseren. Hierdoor zal PEARL in Nederland een grote bijdrage leveren aan betere topsport- en podiumprestaties en aan het reduceren van blessures. Wat het buitenland betreft: het is de bedoeling dat PEARL uiteindelijk zal uitgroeien tot een, internationaal toonaangevend, Advanced Research Center. De volgende organisaties zijn bij PEARL betrokken: - Kennisinstellingen: Codarts Rotterdam, ErasmusMC, VUmc, Hogeschool Rotterdam, Rotterdam Arts & Sciences Lab (RASL) - Podiumkunsten: Het Nationaal Ballet, Rotterdams Philharmonisch Orkest, Circusstad Rotterdam en het Nationaal Centrum Performing Arts (NCPA) - Sport: Rotterdam Topsport - Zorg: Nederlandse Vereniging voor Fysiotherapie in de Sportgezondheidszorg (NVFS) en het Nederlands Paramedisch Instituut (NPI) - MKB: Johan Sports, Sportgeneeskunde Rotterdam
