Green New Deal policies are proposed to tackle the climate emergency. These policies focus on driving climate innovation through unprecedented financial policy levers. However, while the macro-level financing dynamics are clear, the influence of niche level dynamics of sustainable innovation financing remain unexplored within these policy settings. Through the context of the European Green Deal and a focus on the agri-tech start-up sector in the Netherlands, we identify factors likely to reduce the efficacy of these policies from an innovation (...) management perspective—such as project matching issues, socio-ethical factors or the characteristics of agri-food climate innovations. We go on to conceptualise that these challenges represent a range of asymmetries—from classic information asymmetries to less common value and objective asymmetries—between climate innovators and private investors and financers. Many remedies for asymmetries involve costs, likely to further inhibit the efficacy of the European Green Deal and similar policies. A partnering approach is proposed, where the non-financial resources of incumbent actors are harnessed and leveraged to enhance climate innovation performance. (shrink)

In this contribution, we argue that three related developments provide economic, environmental and social challenges and opportunities for a new responsible professionalism in the food chain: (1) the Anthropocene; (2) the bio-based economy; (3) Precision Livestock Farming. These three interrelated developments indicate a transition in the way we understand the role and function of the food chain on the micro-, the meso- and the macro-level. This transition can be understood in two fundamental different ways, namely either as an extension of (...) technocratic management beyond the micro level to the meso- and macro-level of the food chain, or as a transition to a new responsible professionalism. We argue that the technocratic approach is not able to address the socio-ethical issues that come along with these three development, and argue for a new responsible professionalism in the agri-food chain in the Anthropocene based on normative and action competence. (shrink)

Responsible innovation (RI), also termed Responsible Research and Innovation, has emerged due to increasing concern over how to integrate ethical and societal values into research and innovation policy and governance (Von Schomberg 2013), in response to questioning of the societal role of science as well as populist resurgence in some countries (Long and Blok 2017a). Within a RI approach, innovators must consider three dimensions of responsibility, including the dimensions of (1) ‘avoiding harm’ to people and the planet, (2) ‘doing good’ (...) through the offering of innovations that foster sustainable development, and (3) the development of facilitative global governance schemes (Voegtlin and Scherer 2017). (shrink)

Responsible innovation (RI), also termed Responsible Research and Innovation, has emerged due to increasing concern over how to integrate ethical and societal values into research and innovation policy and governance (Von Schomberg 2013), in response to questioning of the societal role of science as well as populist resurgence in some countries (Long and Blok 2017a). Within a RI approach, innovators must consider three dimensions of responsibility, including the dimensions of (1) ‘avoiding harm’ to people and the planet, (2) ‘doing good’ (...) through the offering of innovations that foster sustainable development, and (3) the development of facilitative global governance schemes (Voegtlin and Scherer 2017). (shrink)

The agricultural sector plays a crucial role in the economy, providing food and raw materials while sustaining livelihoods for millions. However, one of the significant challenges faced by farmers is the unpredictability of crop prices. Market fluctuations can be influenced by various factors, including weather conditions and government policies. Predicting these prices accurately can lead to better decision-making, optimizing production, and improving profitability. With advancements in technology, machine learning (ML).

This paper examines how professionals (N = 32) working on artificial intelligence (AI) view structural AI ethics challenges like injustices and inequalities beyond individual agents' direct intention and control. This paper answers the research question: What are professionals’ perceptions of the structural challenges of AI (in the agri-food sector)? This empirical paper shows that it is essential to broaden the scope of ethics of AI beyond micro- and meso-levels. While ethics guidelines and AI ethics often focus on the responsibility (...) of designers and the competencies and skills of designers to take this responsibility, our results show that many structural challenges are beyond their reach. This result means that while ethics guidelines and AI ethics frameworks are helpful, there is a risk that they overlook more complicated, nuanced, and intersected structural challenges. In addition, it highlights the need to include diverse stakeholders, such as quadruple helix (QH) participants, in discussions around AI ethics rather than solely focusing on the obligations of AI developers and companies. Overall, this paper demonstrates that addressing structural challenges in AI is challenging and requires an approach that considers four requirements: (1) multi-level, (2) multi-faceted, (3) interdisciplinary, and (4) polycentric governance. (shrink)

Social innovations are usually understood as new ideas, initiatives, or solutions that make it possible to meet the challenges of societies in fields such as social security, education, employment, culture, health, environment, housing, and economic development. On the one hand, many citizen science activities serve to achieve scientific as well as social and educational goals. Thus, these actions are opening an arena for introducing social innovations. On the other hand, some social innovations are further developed, adapted, or altered after the (...) involvement of scientist-supervised citizens in research and with the use of the citizen science tools and methods such as action research, crowdsourcing, and community-based participatory research. Such approaches are increasingly recognized as crucial for gathering data, addressing community needs, and creating engagement and cooperation between citizens and professional scientists. However, there are also various barriers to both citizen science and social innovation. For example, management, quality and protection of data, funding difficulties, non-recognition of citizens’ contributions, and limited inclusion of innovative research approaches in public policies. In this volume, we open theoretical as well as empirically-based discussion, including examples, practices, and case studies of at least three types of relations between citizen science and social innovation: domination of the citizen science features over social innovation aspects; domination of the social innovation features over the citizen science aspects; and the ways to achieve balance and integration between the social innovation and citizen science features. Each of these relationships highlights factors that influence the development of the main scales of sustainability of innovations in the practice. These innovations are contributing to a new paradigm of learning and sharing knowledge as well as interactions and socio-psychological development of participants. Also, there are factors that influence the development of platforms, ecosystems, and sustainability of innovations such as broad use of the information and communications technologies including robotics and automation; emerging healthcare and health promotion models; advancements in the development and governance of smart, green, inclusive and age-friendly cities and communities; new online learning centers; agri-food, cohousing or mobility platforms; and engagement of citizens into co-creation or co-production of services delivered by public, private, non-governmental organizations as well as non-formal entities. (shrink)

R E S U M O Diante do grande consumo de carne a nível mundial, bem como a ascensão do vegetarianismo e veganismo, os consumidores de carne, especialmente de carne de grandes animais, estão cada vez mais exigentes quantos aos aspectos sensoriais e características organolépticas e de bem-estar animal cabendo, com isso, ao mercado abastecer o mercado cárneo com produtos de alta qualidade. Deve-se assegurar a qualidade para satisfazer o consumidor. A qualidade da carcaça, assim como a da carne podem (...) ser influenciadas por diversos fatores, entre eles a raça e o tipo ou sistema de alimentação podem possuir maior influência, dependendo do sistema de produção ao qual os animais estão submetidos. A qualidade dos produtos tem adquirido relevância durante as últimas décadas, sendo considerada de distinta forma pelos integrantes da cadeia agroalimentar. Os consumidores, produtores e a indústria possuem distinta importância sobre os parâmetros de qualidade da carne e da carcaça; todavia, todos os integrantes da cadeia cárnea devem assegurar qualidade para um correto e idôneo funcionamento e melhorar sua competitividade. A raça pode influenciar os pesos, rendimentos e conformação da carcaça, entre outras variáveis, como também o pH e a composição de ácidos graxos da carne. Enquanto o manejo nutricional afeta a conformação da carcaça, as características de maciez, cor, composição química e de ácidos graxos. É por esses motivos que nos diferentes sistemas de produção de ovinos os efeitos da raça e da alimentação devem ser considerados para a obtenção de um produto de qualidade que satisfaça as demandas dos consumidores. Palavras-Chaves: Raça, Alimentação, Qualidade, Carne, Ovinos. Effects of breed and the nutritional management about the characteristics of quality carcass and the meat in sheeps A B S T R A C T Given the high consumption of meat at a global level, as well as the rise of vegetarianism and veganism, meat consumers, especially of large animals, are becoming increasingly demanding in terms of sensory aspects, organoleptic characteristics, and animal welfare, requiring the market to supply the meat market with high-quality products. Quality must be ensured to satisfy the consumer. The quality of the carcass, as well as the meat, can be influenced by various factors, including breed and the type or system of feeding, which may have a greater influence depending on the production system to which the animals are subjected. The quality of products has gained importance in recent decades and is considered in different ways by participants in the agri-food chain. Consumers, producers, and the industry each hold distinct importance regarding the parameters of meat and carcass quality; however, all participants in the meat chain must ensure quality for proper and reputable functioning and to enhance competitiveness. The breed can influence carcass weight, yield, and conformation, among other variables, as well as the pH and composition of fatty acids in the meat. While the nutritional management affects carcass conformation, tenderness, color, chemical composition, and fatty acid characteristics. It is for these reasons that in different sheep production systems, the effects of breed and feed must be considered to obtain a quality product that meets consumer demands. Keywords: Breed, Feeding, Quality, Meat, Sheeps. (shrink)

The focus of the research is to develop recommendations of smart specialization (SS) for Ukrainian policymakers using European approaches. The authors revealed that the main SS projects are presented in such sectors as agri-food, industrial modernization and energy. More than 12 EU countries were the plot for conducted analysis of SS, as a result of which the level of activity of each country was determined. The creation of consortiums, including SMEs, associations, universities and other participants, disclosed the successful way (...) of SS realization. The structure of SME’s innovative potential in Ukraine was identified underlining their main characteristic features like types of innovations and innovative activity, differentiation according to enterprise size, their regional distribution. The authors explored lack of innovations on regional and national level and significant territorial disparities, which could be eliminated through policy implementation of regional SS. The existing legislative norms for possibility of SS implementation in Ukraine were analyzed due to correspondence with the EU ones. The analysis provides the opportunity to consider them only as general framework documents without any action plans and sectoral prioritization at all. The weak points of these law documents are emphasized. As a result of research, the authors developed recommendations presented by direct action plan for Ukrainian policymakers, which include such activities as underlining key priorities (especially ICT applicability in every SS project) and their correspondence with the EU ones; eliminating regional imbalances by focusing on innovation development and reorientation of some regions according to SS priorities; respecting regional existing capacities; providing organizational mechanism for cooperation of stakeholders and financial mechanism for SS support through the EU structural funds. (shrink)