The current set of research methods on ictresearchmethods.nl contains only one research method that refers to machine learning: the “Data analytics” method in the “Lab” strategy. This does not reflect the way of working in ML projects, where Data Analytics is not a method to answer one question but the main goal of the project. For ML projects, the Data Analytics method should be divided in several smaller steps, each becoming a method of its own. In other words, we should treat the Data Analytics (or more appropriate ML engineering) process in the same way the software engineering process is treated in the framework. In the remainder of this post I will briefly discuss each of the existing research methods and how they apply to ML projects. The methods are organized by strategy. In the discussion I will give pointers to relevant tools or literature for ML projects.
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Assistive technology supports maintenance or improvement of an individual’s functioning and independence, though for people in need the access to assistive products is not always guaranteed. This paper presents a generic quality framework for assistive technology service delivery that can be used independent of the setting, context, legislative framework, or type of technology. Based on available literature and a series of discussions among the authors, a framework was developed. It consists of 7 general quality criteria and four indicators for each of these criteria. The criteria are: accessibility; competence; coordination; efficiency; flexibility; user centeredness, and infrastructure. This framework can be used at a micro level (processes around individual users), meso level (the service delivery scheme or programme) or at a macro level (the whole country). It aims to help identify in an easy way the main strengths and weaknesses of a system or process, and thus guide possible improvements. As a next step in the development of this quality framework the authors propose to organise a global consultancy process to obtain responses from stakeholders across the world and to plan a number of case studies in which the framework is applied to different service delivery systems and processes in different countries.
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In recent years, numerous environmental psychology studies have demonstrated that contact with nature as opposed to urban settings can improve an individual’s mood, can lead to increased levels of vitality, and can offer an opportunity to recover from stress. According to Attention Restoration Theory (ART) the restorative potential of natural environments is situated in the fact that nature can replenish depleted attentional resources. This replenishment takes place, in part, because nature is deemed to be a source of fascination, with fascination being described as having an ‘‘attentional’’, an‘‘affective’’ and an ‘‘effort’’ dimension. However, the claim that fascination with nature involves these three dimensions is to a large extent based on intuition or derived from introspection-based measurement methods, such as self-reports. In three studies, we aimed to more objectively assess whether these three dimensions indeed applied to experiences related to natural environments, before any (attentional) depletion has taken place. The instruments that were used were: (a) the affect misattribution procedure (Study 1), (b) the dot probe paradigm (Study 2) and (c) a cognitively effortful task (Study 3).These instrument were respectively aimed at verifying the affective, attentional and effort dimension of fascination. Overall, the results provide objective evidence for the claims made within the ART framework, that natural as opposed to urban settings are affectively positive (cfr., affective dimension) and that people have an attentional bias to natural (rather than urban) environments (cfr., attentional dimension). The results regarding the effort dimension are less straightforward, and suggest that this dimension only becomes important in sufficiently difficult cognitive tasks.
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Purpose: To facilitate the design of viable business models by proposing a novel business model design framework for viability. Design: A design science research method is adopted to develop a business model design framework for viability. The business model design framework for viability is demonstrated by using it to design a business model for an energy enterprise. The aforementioned framework is validated in theory by using expert opinion. Findings: It is difficult to design viable business models because of the changing market conditions, and competing interests of stakeholders in a business ecosystem setting. Although the literature on business models provides guidance on designing viable business models, the languages (business model ontologies) used to design business models largely ignore such guidelines. Therefore, we propose a business model design framework for viability to overcome the identified shortcomings. The theoretical validation of the business model design framework for viability indicates that it is able to successfully bridge the identified shortcomings, and it is able to facilitate the design of viable business models. Moreover, the validation of the framework in practice is currently underway. Originality / value: Several business model ontologies are used to conceptualise and evaluate business models. However, their rote application will not lead to viable business models, because they largely ignore vital design elements, such as design principles, configuration techniques, business rules, design choices, and assumptions. Therefore, we propose and validate a novel business model design framework for viability that overcomes the aforementioned shortcomings.
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This study explores the application of systemic design approaches used in a complex commercial context to create positive and sustainable change. The case study was a business case on sustainable parenthood, in which the company tried to balance its ambitions for environmental sustainability with the need to survive in a highly competitive market. In close collaboration with the internal business company stakeholders, a causal loop diagram was created. The diagram mapped relations between global relevant trends for emerging young adults within the DACH market, sustainability, and parenting as a business. Leverage points for systemic change were identified which were explored through in-depth user interviews (n=10). This process eventually identified ten systemic insights, translated into insight cards to facilitate business actions.Based on these combined approaches, the MINT framework (Mapping Interventions and Narratives for Transformation) was developed, with a strong emphasis on co-creation, iteration, translation, and communication of systemic interventions. However, while the internal business stakeholders and company representatives appreciated the bird’s eye view that systemic design gave them, they were challenged by the methods’ abstract language and translation of systemic insights into concrete action. To address this, the developed framework utilized systemic design artefacts such as a storytelling map and user-centred insight cards to facilitate a more comprehensible systemic design approach.Overall, this study provides a first attempt at creating an actionable systemic design framework that can be used in commercial settings to promote positive systemic change. Future research will require further validation.
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This study proposes a systematic value chain approach to helping businesses identify and eliminate inefficiencies. The authors have developed a robust framework, which food-sector entrepreneurs can use to increase profitability of an existing business or to create new profitable opportunities. The value chain approach provides win-win opportunities for players within the value chain. To test the robustness of the framework, the authors use food waste as an example of a critical inefficiency and apply it to two different food sector business cases, each operating in diverse conditions. Because the suggested framework addresses the core elements and parameters for the existence and competitiveness of a business, the model can be adapted to other sectors.
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This paper presents an innovative approach that combines optimization and simulation techniques for solving scheduling problems under uncertainty. We introduce an Opt–Sim closed-loop feedback framework (Opt–Sim) based on a sliding-window method, where a simulation model is used for evaluating the optimized solution with inherent uncertainties for scheduling activities. The specific problem tackled in this paper, refers to the airport capacity management under uncertainty, and the Opt–Sim framework is applied to a real case study (Paris Charles de Gaulle Airport, France). Different implementations of the Opt–Sim framework were tested based on: parameters for driving the Opt–Sim algorithmic framework and parameters for riving the optimization search algorithm. Results show that, by applying the Opt–Sim framework, potential aircraft conflicts could be reduced up to 57% over the non-optimized scenario. The proposed optimization framework is general enough so that different optimization resolution methods and simulation paradigms can be implemented for solving scheduling problems in several other fields.
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AbstractBackground: Ecological models are currently the most used approaches to classify and conceptualise determinantsof sedentary behaviour, but these approaches are limited in their ability to capture the complexity of and interplaybetween determinants. The aim of the project described here was to develop a transdisciplinary dynamic framework,grounded in a system-based approach, for research on determinants of sedentary behaviour across the life span andintervention and policy planning and evaluation.Methods: A comprehensive concept mapping approach was used to develop the Systems Of Sedentary behaviours(SOS) framework, involving four main phases: (1) preparation, (2) generation of statements, (3) structuring (sorting andranking), and (4) analysis and interpretation. The first two phases were undertaken between December 2013 andFebruary 2015 by the DEDIPAC KH team (DEterminants of DIet and Physical Activity Knowledge Hub). The lasttwo phases were completed during a two-day consensus meeting in June 2015.
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Although stressors are frequently linked to several negative health outcomes, experiencing stressors may be necessary for enhancing performance. At present, the literature is lacking a unified, comprehensive framework that accounts for both positive and negative outcomes following stressors. Therefore, we introduce the framework of hormesis, which has been applied in biological research for decades. According to hormesis, small-to-medium doses of a stressor can stimulate an organism's response, while large doses cause detrimental effects. In this article, we argue that these dose-response dynamics can be found in various domains of performance psychology (i.e., eustress and distress, psychological momentum, emotions, motivation, confidence, cognitive performance, training, skill acquisition, adversity, and trauma). Furthermore, hormesis also accounts for the inter- and intra-individual variability commonly found in responses to stressors. Finally, from an applied perspective, leveraging hormesis may stimulate new psychological interventions that mimic the well-known effects of (toxic) vaccinations at the level of behavior.
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Het gezamenlijk oplossen van wiskundige problemen creëert de gelegenheid voor leerlingen om te leren redeneren. Doordat leerlingen aan elkaar uitleg geven, worden ze bewust van bestaande kennis en mogelijke misconcepties en kunnen ze daardoor eigen kennis aanpassen en aanvullen. Leerlingen kunnen elkaar ook helpen om uitspraken en aangedragen resultaten te verbeteren met wiskundige betekenis en richting wiskundig redeneren (Dekker, Elshout-Mohr, & Wood, 2006). Bij het oplossen van schooltaken omvat wiskundig redeneren cognitieve activiteiten zoals het herroepen van kennis, verbindingen maken tussen begrippen, wiskundige representaties gebruiken, generaliseren van concrete situaties en conclusies trekken op basis van wiskundige eigenschappen (Lithner, 2008; Schoenfeld, 1992). Veel onderzoek naar gezamenlijk redeneren betreft de manier waarop leerlingen op elkaars ideeën voortbouwen maar er is weinig bekend over hoe leerlingen deze ideeën valideren (Francisco, 2013). Het doel van dit onderzoek is meer inzicht krijgen in dit proces. Validatieprocessen bij wiskunde zijn voornamelijk onderzocht in de context van wiskundige bewijzen (Selden & Selden, 2003) en betreffen een zekere vorm van evaluatie zoals het beoordelen van wat goed is of fout, gevoelens van onzekerheid, twijfel en ondervraging van gezag. In deze studie breiden we deze definitie uit naar redenering in een collaboratieve setting en exploreren we hoe dit proces verloopt binnen een groep leerlingen zonder toezicht van de docent
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