The relationship between project management and sustainable development is rapidly gaining interest from both practitioners and academics. Studies on the integration of the concepts of sustainability into project management, approach this topic mostly from a conceptual, logical or moral point of view. Given the fact that the relationship between sustainability and project management is still an emerging field of study, these approaches make sense. However, they do not diminish the need for more empirical studies to understand how the concepts of sustainable development are implemented in practice. This paper reports an analysis of 56 case studies on the integration of the concepts of sustainability in the way organizations initiate, develop and manage projects. The research question of the study was: To what extent, do organizations consider the concepts of sustainability in the initiation, development and management of projects? The study uses the maturity model for sustainability integration that was presented at the 2010 IPMA World Congress for the assessment of the level of sustainability consideration. The study found an overall average level of sustainability consideration in the actual situation of 25.9%. For the desired situation, this score is almost 10 percent higher, showing an ambition to take sustainability more into consideration. The study also showed that the way sustainability currently is considered, shows the traditional ‘less bad’ approach to sustainability integration and not a more modern social responsibility approach.
Schön describes the way a designer engages with their materials as a “conversation”. In clothing design this typically involves tangible and situated actions such as draping, ripping, and cutting—actions that evoke responses from the fabric at hand. Dynamic fabrics—surface- changing fabrics that combine digital and physical states— are still novel fashion-design materials. When working with the digital, intangible qualities of these fabrics, how does a dialogue unfold for designers accustomed to working physically with fabrics? In this paper we examine the design process of Phem, a collection of garments that use dynamic fabrics that function similarly to augmented reality. We reflect upon the improvisations required to satisfy a productive dialogue with the digital forms of these materials. We conclude with a discussion that proposes revisiting Schön’s notion of a conversation in the context of digital forms, and use Ingold’s perspectives on making to inform this inquiry.
The increasing amount of electronic waste (e-waste) urgently requires the use of innovative solutions within the circular economy models in this industry. Sorting of e-waste in a proper manner are essential for the recovery of valuable materials and minimizing environmental problems. The conventional e-waste sorting models are time-consuming processes, which involve laborious manual classification of complex and diverse electronic components. Moreover, the sector is lacking in skilled labor, thus making automation in sorting procedures is an urgent necessity. The project “AdapSort: Adaptive AI for Sorting E-Waste” aims to develop an adaptable AI-based system for optimal and efficient e-waste sorting. The project combines deep learning object detection algorithms with open-world vision-language models to enable adaptive AI models that incorporate operator feedback as part of a continuous learning process. The project initiates with problem analysis, including use case definition, requirement specification, and collection of labeled image data. AI models will be trained and deployed on edge devices for real-time sorting and scalability. Then, the feasibility of developing adaptive AI models that capture the state-of-the-art open-world vision-language models will be investigated. The human-in-the-loop learning is an important feature of this phase, wherein the user is enabled to provide ongoing feedback about how to refine the model further. An interface will be constructed to enable human intervention to facilitate real-time improvement of classification accuracy and sorting of different items. Finally, the project will deliver a proof of concept for the AI-based sorter, validated through selected use cases in collaboration with industrial partners. By integrating AI with human feedback, this project aims to facilitate e-waste management and serve as a foundation for larger projects.
This PD project aims to gather new knowledge through artistic and participatory design research within neighbourhoods for possible ways of addressing and understanding the avoidance and numbness caused by feelings of vulnerability, discomfort and pain associated with eco-anxiety and chronic fear of environmental doom. The project will include artistic production and suitable forms of fieldwork. The objectives of the PD are to find answers to the practice problem of society which call for art that sensitises, makes aware and helps initiate behavioural change around the consequences of climate change. Rather than visualize future sea levels directly, it will seek to engage with climate change in a metaphorical and poetic way. Neither a doom nor an overly techno-optimistic scenario seem useful to understand the complexity of flood risk management or the dangers of flooding. By challenging both perspectives with artistic means, this research hopes to counter eco-anxiety and create a sense of open thought and susceptibility to new ideas, feelings and chains of thought. Animation and humour, are possible ingredients. The objective is to find and create multiple Dutch water stories, not just one. To achieve this, it is necessary to develop new methods for selecting and repurposing existing impactful stories and strong images. Citizens and students will be included to do so via fieldwork. In addition, archival materials will be used. Archives serve as a repository for memory recollection and reuse, selecting material from the audiovisual archive of the Institute of Sound & Vision will be a crucial part of the creative work which will include two films and accompanying music.
DOK4CT (in Dutch: Digitale Onderwijsmiddelen en Kennisontsluiting for Control Towers)In this project the practical applied knowledge, derived from innovative projects within the “Topsector logistiek”, is made accessible by Breda University and Deltago. This online Control Tower Course is specifically meant for logistic professionals and students in logistic orientated education. The project was made accesible and supported by the NWO, Netherlands Organisation for Scientific Research. The scope of this project is limited to the area of Cross Chain Control Centers (4C) / Control Towers. The educational valorisation will be executed by the development of digital materials. These are used for student education as well as dissemination towards professionals in the logistics sector. Hereby, the interaction between students and professionals is an important additional benefit under the name of “social learning”. For example the interviews that Marcel Wouterse (Deltago and lecturer at Breda University of Applied Sciences) has created with key partners in the logistics sector were recorded and edited by students. By the use of digital educational tools and serious games, the benefits of Control Towers are now visible for students and professionals. The next phase is to introduce the gained knowledge in future organisations in order to support the Netherlands in the top of the logistics sector.Project goalThe goal of this project is to improve the exploitation of fundamental- and applied knowledge in the expertise area of Cross Chain Control Centers (4C) and Control Towers (CT).The tasks are divided in five subprojects:1. Preparations to transfer existing materials in digital learning tools;2. Shape digital education material (Webinars, online platform, knowledge clips and e-learnings)3. Develop and/or use several serious games (Convoy game / Synchromania)4. Promotion of the course to specified target groups (professionals / international students)5. Project managementExcising knowledge regarding Cross Chain Control Centers and Control Towers is used in this project. New knowledge will not be generated. The project focus lies on the disclosure of acquired knowledge by digital learning tools.
