Transformative mission-oriented innovation policy aims to redirect innovation, but evidence of this directional ability is limited. This paper examines whether transformer missions redirect values reflected by mission-oriented projects. We study the EU Mission ‘Restore our Ocean and Waters’ and use probabilistic topic modelling and thematic analyses to identify, conceptualize, and compare latent values described in 17 policy documents (i.e., strategic layer), 37 mission-oriented projects, and 809 mission-relevant projects (i.e., operational layer). We map how these values changed during the mission launch. The results of this study are ambivalent. On the one hand, the mission launch corresponds with an increase of funded projects of which mission-oriented projects commonly frame efforts towards mission objectives. On the other hand, there is a misalignment between policy and project-level values while the prevalence of project-level values remained largely unaffected by the mission. These mixed results provide a more nuanced understanding of transformer missions’ directional abilities.

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Value and moral change have increasingly become topics of interest in the philosophical literature. Several theoretical accounts have been proposed. These are usually based on certain theoretical and conceptual assumptions. Their strengths and weaknesses are often difficult to determine and compare because they are based on limited empirical evidence. We propose agent-based modeling to build simulation models that can theoretically help us explore accounts of value change. We can investigate whether a simulation model based on a specific account of value change can reproduce relevant phenomena. To illustrate this approach, we build a model based on the pragmatist account of value change proposed by Van De Poel and Kudina (2022). We show that this model can reproduce four relevant phenomena, namely 1) the inevitability and stability of values, 2) societies differ in openness and resistance to change, 3) moral revolutions, and 4) lock-in. This makes this account promising, although more research is needed to see how well it can explain other relevant phenomena and compare its strengths and weaknesses to other accounts. On a more methodological level, our contribution suggests that simulation models might be useful to theoretically explore accounts of value change and make further progress in this area. @en

This article aims to explore the use of cross-impact balances (CIB) to identify scenarios of value change. The possibility of value change has received little attention in the literature on value-sensitive design (VSD). Examples of value change include the emergence of new values and changes in the relative importance of values. Value change could lead to a mismatch between values embedded in technology and the way they are currently considered in society. Such a mismatch could result in a lack of acceptability of technologies, increasing social tensions and injustices. However, methods to study value change in the VSD literature are rare. CIB is a scenario tool that can study systems characterized by feedback loops that are hard to describe mathematically. This is often the case when aiming to define values and their relationships. We demonstrate the use of CIB to identify scenarios of value change using two cases: digital voice assistants and gene drive organisms. Our findings show that CIB is helpful in building scenarios of value change, even in instances where the operationalization of values is complex. CIB also helps us to understand the mechanisms of value change and evaluate when such mechanisms occur. Finally, we find that CIB is particularly useful for social learning and explanatory modelling. CIB can therefore contribute to the design of value-sensitive technologies.@en

We study value change due to the corona pandemic. With the help of topic modelling, we analysed COVID-related news articles for changes in the frequency of how often these news articles address eleven different values. We looked at news articles from six countries (US, UK, South Africa, India, Japan, South Korea) and new articles spanning a longer period (2016–20); the latter also contained non-COVID news. We find that in the first few months of the pandemic, there is a punctuated shock in the frequency in which values are addressed. While we see a sharp increase in the value of health and safety, we see a significant decline in the values of democracy, privacy, and socio-economic equality. However, after the first months, we see a move in the opposite direction, which suggests that the punctuated shock’s effect may be cancelled over time. We also present – and offer possible explanations for – differences between countries and compare our results with the literature. We do not find evidence that the COVID-19 pandemic confronts us with a moral dilemma of health versus economic welfare, or lives versus livelihoods, as has sometimes been suggested. Our study also indicates a degree of moral resilience in the studied countries, in the sense of the ability to pay attention to morally important values, despite being put under pressure during a crisis.@en

Supported by the arrival of 5G and, soon 6G, digital technologies are evolving towards an artificial intelligence-driven internet of robotic and bionano things. The merging of artificial intelligence (AI) with other technologies such as the internet of things (IoT) gives rise to acronyms such as 'AIoT', 'IoRT' (IoT and robotics) and 'IoBNT' (IoT and bionano technology). Blockchain, augmented reality and virtual reality add even more technological options to the mix. Smart bodies, smart homes, smart industries, smart cities and smart governments lie ahead, with the promise of many benefits and opportunities. However, unprecedented amounts of personal data will be collected, and digital technologies will affect the most intimate aspects of our life more than ever, including in the realms of love and friendship. This study offers a bird's eye perspective of the key societal and ethical challenges we can expect as a result of this convergence, and policy options that can be considered to address them effectively.@en

This paper demonstrates an approach to assess, ex ante, the social acceptance of sustainable heating systems in city districts. More sustainable heating systems are required in city districts to reduce greenhouse gas emissions. However, these systems may lack social acceptance as they often require significant adjustments to homes and may lead to a noticeable loss of in-home thermal comfort. Predicting social acceptance is often difficult due to the long-term planning horizon for energy systems. It is therefore unclear which design requirements and policy guidelines need to be specified ex ante. We suggest an approach to anticipate social acceptance by identifying value conflicts embedded in sustainable heating systems in specific social settings. These value conflicts might cause a lack of social acceptance over time due to value change. We demonstrate this approach using a case of community-driven heating initiative in The Hague, the Netherlands. We identify value conflicts embedded in various sustainable heating systems using an agent-based model. We formulate scenarios of value change to understand the severity of resulting social acceptance issues and discuss suitable heating systems for the city district. The approach can be used to support the decision-making process of policymakers at the local level, even in situations of limited local expertise.

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We propose a new approach for tracing value change. Value change may lead to a mismatch between current value priorities in society and the values for which technologies were designed in the past, such as energy technologies based on fossil fuels, which were developed when sustainability was not considered a very important value. Better anticipating value change is essential to avoid a lack of social acceptance and moral acceptability of technologies. While value change can be studied historically and qualitatively, we propose a more quantitative approach that uses large text corpora. It uses probabilistic topic models, which allow us to trace (new) values that are (still) latent. We demonstrate the approach for five types of value change in technology. Our approach is useful for testing hypotheses about value change, such as verifying whether value change has occurred and identifying patterns of value change. The approach can be used to trace value change for various technologies and text corpora, including scientific articles, newspaper articles, and policy documents.@en

This thesis introduces an approach to support the long-term social acceptance of energy systems by addressing value conflicts embedded in regulatory and technical designs. When designing energy systems, the realisation of some values can conflict with the realisation of other values. The decision to deploy energy systems therefore inevitably entails a prioritisation of some values over others. Societal groups that do not agree with this prioritisation may decide to oppose or not to support the deployment and use of these systems. Lack of social acceptance may occur during the planning phase, but also at a later point in time as a result of value change. This can be caused by a growing mismatch between values prioritized in energy systems and how societal groups are affected. To support the social acceptance of energy systems, value conflicts embedded in energy systems need to be addressed. Methods to do so were however lacking. This thesis provides a methodological contribution by demonstrating how the literature on data science and the complexity sciences can be used to address value conflicts. This thesis answers the following research question: How can value conflicts embedded in energy systems be addressed in support of social acceptance? We use probabilistic topic modelling to explore how the academic literature addresses value conflicts. Identified tactics can be used to specify design requirements and policy guidelines in support of the social acceptance of energy systems. Agent-based modelling is used to identify value conflicts embedded in energy systems that result from the heterogeneous properties of the affected population. Agent-based models provide insights about the type of population affected by value conflicts and hence about the severity of the resulting lack of social acceptance. This thesis contributes to the literature on social acceptance by demonstrating how long-term acceptance can be supported by drawing on insights from ethics of technology. Additionally, we provide a systematic and practical approach to integrate human values in the regulatory and technical design of infrastructures, which is critical for supporting the ongoing energy transition.@en

This paper explores capability conflicts in the deployment of decentralised energy systems and identifies the affected population. These systems have positive societal impacts in terms of sustainability and consumer empowerment, but they are not accessible to all and their deployment may increase socio-economic inequalities. The societal impacts of decentralised energy systems can be understood in terms of conflicting capabilities; for some citizens capabilities may increase, whereas for others they may decrease. While problematic, capability conflicts may not be inherent. They may only occur in certain neighbourhoods, for example, where both affluent and less affluent populations coexist. By understanding why these capability conflicts occur, we may be able to anticipate whether these decentralised energy projects could result in societal problems. We use agent-based modelling and the scenario discovery technique to identify capability conflicts and the populations that may be affected. We distinguish five classes of conflicts, which can be used to anticipate social acceptance issues. Affected populations can be involved in the decision-making process to foster acceptance of decentralised energy systems. This work contributes to the growing political and scientific debate on issues of energy justice and inclusiveness related to the energy transition. Additionally, we contribute to the operationalisation of such capabilities, as this is one of the first papers to formalise the Capability Approach using an agent-based model.

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This paper aims to anticipate social acceptance issues related to the deployment of the smart electricity grid by identifying underlying value conflicts. The smart electricity grid is a key enabler of the energy transition. Its successful deployment is however jeopardized by social acceptance issues, such as concerns related to privacy and fairness. Social acceptance issues may be explained by value conflicts, i.e. the impossibility for a technological or regulatory design to simultaneously satisfy multiple societal expectations. Due to unsatisfied expectations concerning values, social discontent may arise. This paper identifies five groups of value conflicts in the smart electricity grid: consumer values versus competitiveness, IT enabled systems versus data protection, fair spatial distributions of energy systems versus system performance, market performance versus local trading, and individual access versus economies of scale. This is important for policy-makers and industry to increase the chances that the technology gains acceptance. As resolving value conflicts requires resources, this paper suggests three factors to prioritize their resolution: severity of resulting acceptance issues, resolvability of conflicts, and the level of resources required. The analysis shows that particularly the socio-economic disparities caused by the deployment of the smart electricity grid are alarming. Affordable policies are currently limited, but the impact in terms of social acceptance may be large.

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Ethics by Design concerns the methods, algorithms and tools needed to endow autonomous agents with the capability to reason about the ethical aspects of their decisions, and the methods, tools and formalisms to guarantee that an agent's behavior remains within given moral bounds. In this context some questions arise: How and to what extent can agents understand the social reality in which they operate, and the other intelligences (AI, animals and humans) with which they co-exist? What are the ethical concerns in the emerging new forms of society, and how do we ensure the human dimension is upheld in interactions and decisions by autonomous agents?. But overall, the central question is: "Can we, and should we, build ethically-aware agents?" This paper presents initial conclusions from the thematic day of the same name held at PRIMA2017, on October 2017.

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This paper proposes an approach to capturing and reviewing scientific literature addressing latent topics across multiple scientific fields. As latent topics like moral values are affected by word polysemy and synonymy, a traditional keyword-based approach is often ineffective and therefore inappropriate. As a result, scientific literature addressing latent topics tends to be fragmented thereby constraining efforts to address similar and complementary research challenges. A novel approach to reviewing the literature by utilizing both semantic fields and probabilistic topic models has therefore been developed. We illustrate this approach by reviewing the literature addressing the value justice in the energy sector and compare this with a regular keyword-based approach. The new approach results in a more complete overview of the relevance of energy justice as compared to the traditional keyword-based approach. This novel approach can be applied to other latent topics including other values or phenomena such as societal resistance to technologies, thereby leading to an increased understanding of existing relevant literature and the identification of new areas of research.

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