Abstract Despite the numerous business benefits of data science, the number of data science models in production is limited. Data science model deployment presents many challenges and many organisations have little model deployment knowledge. This research studied five model deployments in a Dutch government organisation. The study revealed that as a result of model deployment a data science subprocess is added into the target business process, the model itself can be adapted, model maintenance is incorporated in the model development process and a feedback loop is established between the target business process and the model development process. These model deployment effects and the related deployment challenges are different in strategic and operational target business processes. Based on these findings, guidelines are formulated which can form a basis for future principles how to successfully deploy data science models. Organisations can use these guidelines as suggestions to solve their own model deployment challenges.
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The flexible deployment of drones in the public domain, is in this article assessed from a legal philosophical perspective. On the basis of theories of Dworkin and Moore the distinction between individual rights and collective security policy goals is discussed. Mobile cameras in the public domain reflect how innovative technological tools challenge public authorities in new ways to balance between privacy and security. Furthermore, the different dimensions of privacy and the distinction between the three types of the value of privacy are reviewed. On the basis of the case study of the Dutch Drones Act, the article concludes that the flexible deployment of mobile cameras in the public domain is not legitimate from a normative perspective. The legal safeguards in the Netherlands are insufficient to protect the value of privacy. Therefore, further restrictions such as prior judicial review should be considered.
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Since the first uptake of electric vehicles, policy makers are questioning how to rollout public charging infrastructure in an efficient manner, such that user convenience balances with costs of investment. In some metropolitan areas, the first phase of rollout has been passed, meaning an optimized deployment of future charging stations for electric vehicles (EVs) becomes important to improve the charging infrastructure and ensure customer satisfaction and sufficient service provision. Complex system literature shows that network vulnerability is an important metric, yet, charging infrastructure has not yet been a subject of these simulation models so far. This research, based on real-world data, provides a novel approach for improving the roll-out strategy of municipalities, by treating the charge infrastructure as a complex network of charging stations and defining vulnerability in respect to the availability of its surrounding charging stations within relevant walking distance.
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Smart city technologies, including artificial intelligence and computer vision, promise to bring a higher quality of life and more efficiently managed cities. However, developers, designers, and professionals working in urban management have started to realize that implementing these technologies poses numerous ethical challenges. Policy papers now call for human and public values in tech development, ethics guidelines for trustworthy A.I., and cities for digital rights. In a democratic society, these technologies should be understandable for citizens (transparency) and open for scrutiny and critique (accountability). When implementing such public values in smart city technologies, professionals face numerous knowledge gaps. Public administrators find it difficult to translate abstract values like transparency into concrete specifications to design new services. In the private sector, developers and designers still lack a ‘design vocabulary’ and exemplary projects that can inspire them to respond to transparency and accountability demands. Finally, both the public and private sectors see a need to include the public in the development of smart city technologies but haven’t found the right methods. This proposal aims to help these professionals to develop an integrated, value-based and multi-stakeholder design approach for the ethical implementation of smart city technologies. It does so by setting up a research-through-design trajectory to develop a prototype for an ethical ‘scan car’, as a concrete and urgent example for the deployment of computer vision and algorithmic governance in public space. Three (practical) knowledge gaps will be addressed. With civil servants at municipalities, we will create methods enabling them to translate public values such as transparency into concrete specifications and evaluation criteria. With designers, we will explore methods and patterns to answer these value-based requirements. Finally, we will further develop methods to engage civil society in this processes.
Social enterprises (SEs) can play an important role in addressing societal problems. SEs are businesses whose primary objective is to generate social impact (e.g. well-being, social wealth and cohesion, and ecology) through a market-based model. SEs achieve this through a hybrid business model, trading-off financial and social value creation objectives. SEs typically face higher costs, for example because of ethical sourcing principles and/or production processes centering around the needs of workers who are vulnerable or hard-to-employ. This results in SEs’ struggling to scale-up due to their relatively costly operating model. Traditional management techniques are not always appropriate, as they do not take into account the tensions between financial and social value creation objectives of SEs. Our project examines how continuous improvement, and in particular the philosophy and tools of Lean can be harnessed to improve SEs competitiveness. Lean organizations share many values with SEs, such as respect for people, suggesting a good fit between the values and principles of Lean and those of SEs. The consortium for this project is a cooperation between the research groups Improving Business and New Marketing of the Center of Expertise Well-Being Economy and New Entrepreneurship and the minor Continuous Improvement of AVANS Hogeschool, and the SME companies Elliz in Company and Ons Label. The project consists of two phases, an exploratory phase during which the question “in what ways can the philosophy and tools of Lean be used by Social Enterprises?” will be addressed. Interviews and focus groups will be conducted with multiple SEs (not only partners). Participant observation will be conducted by the students of the minor Continuous Improvement at the partner SEs. During the second phase, the implementation of the identified principles and tools will be operationalized through a roadmap. Action research will be conducted in cooperation with the partner SEs.
This project aims to contribute to the transition from proprietary smart city software to the design & employment of ‘public software’ that can be deployed by cities in their operational and policy processes, in order to better safeguard public values. With the advance of smart city technologies, software deployed by municipalities can no longer be understood as just a productivity tool. The mechanics and algorithms operative in the software and the data it collects have become key elements in the execution of urban policy and have started to become a resource for decision making processes. That means that transparency and data-ownership are becoming important public values in software deployment. Most proprietary software systems that cities are currently using in their operations do not fulfill these requirements. Therefore a transition is needed to the deployment of what we call public software. To bring this transition about, for municipal governments it is important to learn more about the process in which public software can be procured, deployed and shared between cities. For creative industries players such as developers and creative agencies, it is important to gain further knowledge about what role they can play in this process and learn more about possible business models to sustain the production and upkeep of public software. This project addresses these knowledge gaps through three workshops in which the most important issues for this transition will be identified, leading to a Guide for the Deployment of Public Software as well as a research agenda and an international network of stakeholders.
