| 1. |
- Lazoroska, Daniela, et al.
(författare)
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Perceptions of participation and the role of gender for the engagement in solar energy communities in Sweden
- 2021
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Ingår i: Energy, Sustainability and Society. - : Springer Science and Business Media LLC. - 2192-0567. ; 11:1
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Tidskriftsartikel (refereegranskat)abstract
- Energy communities are emphasized by the EU as important for developing sustainable energy systems that include and engage many people. While many renewables are highly compatible with a more decentralized energy system, research indicates that participation in 'desirable' energy activities and energy decision-making is influenced by social and economic factors, including gender, economic status and home ownership. The overall aim of this article is to contribute to this line of inquiry by exploring how and under which conditions energy communities allow for broader participation in the energy system. This article examines how gender, as a more specific condition, influences the extent to which parties can or cannot engage with collective solar ownership models by means of a qualitative study of 11 solar energy communities and one housing association in Sweden.Results: The study revealed that despite the relative potential for inclusion that they hold, energy communities can raise justice concerns in terms of inequities concerning access, capacity, and opportunity to engage in decision-making.Conclusions: While solely focusing on gender offers a limited view of the dynamics of inclusion and exclusion in renewable energy projects, it is our position that integrating it into the analysis will provide insights into possible measures to remedy limitations and accelerate the renewable energy transition.
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| 2. |
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| 3. |
- Dzhusupova, Rimman, et al.
(författare)
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Challenges in developing and deploying AI in the engineering, procurement and construction industry
- 2022
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Ingår i: Proceedings - 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022. - : IEEE. ; , s. 1070-1075
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Konferensbidrag (refereegranskat)abstract
- AI in the Engineering, Procurement and Construction (EPC) industry has not yet a proven track record in large-scale projects. Since AI solutions for industrial applications became available only recently, deployment experience and lessons learned are still to be built up. Several research papers exist describing the potential of AI, and many surveys and white papers have been published indicating the challenges of AI deployment in the EPC industry. However, there is a recognizable shortage of in-depth studies of deployment experience in academic literature, particularly those focusing on the experiences of EPC companies involved in large-scale project execution with high safety standards, such as the petrochemical or energy sector. The novelty of this research is that we explore in detail the challenges and obstacles faced in developing and deploying AI in a large-scale project in the EPC industry based on real-life use cases performed in an EPC company. Those identified challenges are not linked to specific technology or a company's know-how and, therefore, are universal. The findings in this paper aim to provide feedback to academia to reduce the gap between research and practice experience. They also help reveal the hidden stones when implementing AI solutions in the industry.
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| 4. |
- Fazey, Ioan, et al.
(författare)
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Ten essentials for action-oriented and second order energy transitions, transformations and climate change research
- 2018
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Ingår i: Energy Research and Social Science. - : Elsevier BV. - 2214-6296 .- 2214-6326. ; 40, s. 54-70
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Forskningsöversikt (refereegranskat)abstract
- The most critical question for climate research is no longer about the problem, but about how to facilitate the transformative changes necessary to avoid catastrophic climate-induced change. Addressing this question, however, will require massive upscaling of research that can rapidly enhance learning about transformations. Ten essentials for guiding action-oriented transformation and energy research are therefore presented, framed in relation to second-order science. They include: (1) Focus on transformations to low-carbon, resilient living; (2) Focus on solution processes; (3) Focus on ‘how to’ practical knowledge; (4) Approach research as occurring from within the system being intervened; (5) Work with normative aspects; (6) Seek to transcend current thinking; (7) Take a multi-faceted approach to understand and shape change; (8) Acknowledge the value of alternative roles of researchers; (9) Encourage second-order experimentation; and (10) Be reflexive. Joint application of the essentials would create highly adaptive, reflexive, collaborative and impact-oriented research able to enhance capacity to respond to the climate challenge. At present, however, the practice of such approaches is limited and constrained by dominance of other approaches. For wider transformations to low carbon living and energy systems to occur, transformations will therefore also be needed in the way in which knowledge is produced and used.
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| 5. |
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| 6. |
- Palmer, Henrietta, 1965, et al.
(författare)
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Clustering and assemblage building
- 2020
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Ingår i: Comparative Urban Research from Theory to Practice. - Bristol : Policy Press. - 9781447353126 - 9781447354093 - 9781447354079 ; , s. 89-112
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 7. |
- Valencia, Sandra, 1981, et al.
(författare)
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Adapting the Sustainable Development Goals and the New Urban Agenda to the city level : Initial reflections from a comparative research project
- 2019
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Ingår i: International Journal of Urban Sustainable Development. - : Taylor & Francis. - 1946-3138 .- 1946-3146. ; 11:1, s. 4-23
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Tidskriftsartikel (refereegranskat)abstract
- The Sustainable Development Goals and the New Urban Agenda recognise the role of cities in achieving sustainable development. However, these agendas were agreed and signed by national governments and thus implementing them at the local level requires a process of adaptation or localisation. In this paper, we analyse five aspects that practitioners and researchers need to consider when localising them: (1) delimitation of the urban boundary; (2) integrated governance; (3) actors; (4) synergies and trade-offs and (5) indicators. These considerations are interrelated, and while not exhaustive, provide an important initial step for reflection on the challenges and opportunities of working with these global agendas at the local level. The paper draws on the inception phase of an international comparative transdisciplinary research project in seven cities on four continents: Buenos Aires (Argentina), Cape Town (South Africa), Gothenburg (Sweden), Kisumu (Kenya), Malmo (Sweden), Sheffield (UK) and Shimla (India).
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| 8. |
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| 9. |
- Bosch, Jan, 1967, et al.
(författare)
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Ecosystem traps and where to find them
- 2018
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Ingår i: Journal of Software: Evolution and Process. - : Wiley. - 2047-7481 .- 2047-7473. ; 30:11
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Tidskriftsartikel (refereegranskat)abstract
- Today, companies operate in business ecosystems where they collaborate, compete, share, and learn from others with benefits such as to present more attractive offerings and sharing innovation costs. With ecosystems being the new way of operating, the ability to strategically reposition oneself to increase or shift power balance is becoming key for competitive advantage. However, companies run into a number of traps when trying to realize strategical changes in their ecosystems. In this paper, we identify 5 traps that companies fall into. First, the “descriptive versus prescriptive trap” is when companies assume that current boundaries between partners are immutable. Second, the “assumptions trap” is when powerful ecosystem partners assume that they understand what others regard as value-adding without validating their assumptions. Third, the “keeping it too simple trap” is when companies overlooks the effort required to align interests. Fourth, the “doing it all at once trap” is when companies disrupt an ecosystem assuming that all partners can change direction at the same time. Finally, the “planning trap” is when companies are unable to move forward without a complete plan. We provide empirical evidence for each trap, and we propose an ecosystem engagement process for how to avoid falling into these.
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| 10. |
- Bosch, Jan, 1967, et al.
(författare)
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It takes three to tango: Requirement, outcome/data, and AI driven development
- 2018
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Ingår i: CEUR Workshop Proceedings. - : CEUR-WS.org. - 1613-0073. ; 2305, s. 177-192, s. 177-192
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Konferensbidrag (refereegranskat)abstract
- Today’s software-intensive organizations are experiencing a paradigm-shift with regards to how to develop software systems. With the increasing availability and access to data and with artificial intelligence (AI) and technologies such as machine learning and deep learning emerging, the traditional requirement driven approach to software development is becoming complemented with other approaches. In addition to having development teams executing on requirements specified by product management, the development of software systems is progressing towards a data driven practice where teams receive an outcome to realize and where design decisions are taken based on continuous collection and analysis of data. On top of this, and due to artificial intelligence components being introduced to more and more software systems, learning algorithms, automatically generated models and data is replacing code and the development process is no longer only a manual effort but instead a combination of human and automated processes. In this paper, and based on multi-case study research in embedded systems and online companies, we see that companies use different approaches to software development but that they often take a requirement driven approach even if they would benefit from one of the other two. Also, we see that picking the wrong approach results in a number of problems such as e.g. inefficiency and waste of development efforts. To help address these problems, we develop a holistic development framework and we provide guidelines on how to improve effectiveness in development. The contribution of this paper is two-fold. First, we identify that there are three distinct approaches to software development; (1) Requirement driven development, (2) Outcome/data driven development and (3) AI driven development and we outline the typical problems that companies experience when using the wrong approach for the wrong purpose. Second, we provide a holistic framework with guidelines for when to use what approach to software development.
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