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Статті в журналах з теми "Complex Networks, Network Reconstruction, Sustainable Development Goals"
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Dörgő, Gyula, Viktor Sebestyén, and János Abonyi. "Evaluating the Interconnectedness of the Sustainable Development Goals Based on the Causality Analysis of Sustainability Indicators." Sustainability 10, no. 10 (October 18, 2018): 3766. http://dx.doi.org/10.3390/su10103766.
Повний текст джерелаАнотація:
Policymaking requires an in-depth understanding of the cause-and-effect relationships between the sustainable development goals. However, due to the complex nature of socio-economic and environmental systems, this is still a challenging task. In the present article, the interconnectedness of the United Nations (UN) sustainability goals is measured using the Granger causality analysis of their indicators. The applicability of the causality analysis is validated through the predictions of the World3 model. The causal relationships are represented as a network of sustainability indicators providing the opportunity for the application of network analysis techniques. Based on the analysis of 801 UN indicator types in 283 geographical regions, approximately 4000 causal relationships were identified and the most important global connections were represented in a causal loop network. The results highlight the drastic deficiency of the analysed datasets, the strong interconnectedness of the sustainability targets and the applicability of the extracted causal loop network. The analysis of the causal loop networks emphasised the problems of poverty, proper sanitation and economic support in sustainable development.
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Farrugia, Danielle Martine, Silvia Leonor Vilches, and Alexander Gerber. "Effective inter-organisational networks for Responsible Research and Innovation and global sustainability: a scoping review." Open Research Europe 1 (November 30, 2021): 144. http://dx.doi.org/10.12688/openreseurope.13796.1.
Повний текст джерелаАнотація:
Background: Achieving the United Nations Sustainable Development Goals (SDGs) is beyond the capacity of any single organisation. The principles of engaging stakeholders suggest that an engaged, multi-sectoral approach, such as described in models of Responsible Research and Innovation (RRI), hold promise to mobilise humanity to solve complex and urgent global issues. Methods: This scoping review explores the characteristics of effective and sustainable inter-organisational networks for fostering RRI in service of the SDGs. The review focuses on strategies to initiate and maintain international communities of practice relevant to the implementation of RRI and/or SDGs. The search began with themes derived from prior network theory, focusing on: (a) the type and function of networks; (b) the aims and vision; and (c) the relationships between networks and network members. In total, 55 articles on inter-organisational network theory were included for the final analysis. Results: Results are reported under themes of: (1) Effectiveness, Sustainability, and Success; (2) Governance and Management; and (3) Network Relationship. Network structures, forms of management and funding are linked to sustainable networks. Potential threats include power imbalances within networks, and internal and external factors that may affect relationships at network and community levels. Few studies examine diversity or cultural viewpoints. Studies highlight the benefits of networks such as enhancing knowledge sharing among researchers, practitioners, and other stakeholders. Conclusions: The effectiveness of the managerial structure may be observed as outputs of the intention and values of an inter-organisational network. Our review demonstrates that a global inter-organisational network approach is achievable. Such a network would have many benefits, including allowing organisations to be responsive and flexible towards change and innovation.
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Farrugia, Danielle Martine, Silvia Leonor Vilches, and Alexander Gerber. "Effective inter-organisational networks for Responsible Research and Innovation and global sustainability: a scoping review." Open Research Europe 1 (July 20, 2022): 144. http://dx.doi.org/10.12688/openreseurope.13796.2.
Повний текст джерелаАнотація:
Background: Achieving the United Nations Sustainable Development Goals (SDGs) is beyond the capacity of any single organisation. The model for Responsible Research and Innovation (RRI) includes principles of engaging stakeholders and suggests that an engaged, multi-sectoral approach hold promise to mobilise humanity to solve complex and urgent global issues. Methods: This scoping review explores the characteristics of effective and sustainable inter-organisational networks for fostering RRI in service of the SDGs. An inductive-deductive search of prior studies (1990-2020), with the exception of Benson’s (1975) seminal work was conducted, which focused on strategies to initiate and maintain inter-organisational networks relevant to the implementation of RRI and/or SDGs. The search began with themes derived from prior network theory, focusing on: (a) the type and function of networks; (b) the aims and vision; and (c) the relationships between networks and network members. In total, 55 articles on inter-organisational network theory were included for the final analysis. Results: Results are reported under themes of: (1) Effectiveness, Sustainability, and Success; (2) Governance and Management; and (3) Network Relationship. Network structures, forms of management and funding are linked to sustainable networks. Potential threats include power imbalances within networks, and internal and external factors that may affect relationships at network and community levels. Few studies examine diversity or cultural viewpoints. Studies highlight the benefits of networks such as enhancing knowledge sharing among researchers, practitioners, and other stakeholders. Conclusions: The effectiveness of the managerial structure may be observed as outputs of the intention and values of an inter-organisational network. Our review demonstrates that a global inter-organisational network approach is achievable. Such a network would have many benefits, including allowing organisations to be responsive and flexible towards change and innovation. Keywords RRI, SDGs, network theory, inter-organisational networks, governance, trust
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Ancona, Maria Alessandra, Michele Bianchi, Lisa Branchini, Andrea De Pascale, Francesco Melino, and Antonio Peretto. "Complex energy networks: energy-ecological efficiency based evaluations towards the sustainability in energy sector." E3S Web of Conferences 238 (2021): 05004. http://dx.doi.org/10.1051/e3sconf/202123805004.
Повний текст джерелаАнотація:
In the last years, international programs in diverse sectors and national frameworks have been driven by the need of a sustainable growth, in a green economy perspective. In order to reduce the energy losses/dissipations, as well as the fossil fuels employment and related pollutant emissions, indeed, the spread of combined heat and power units and/or renewable sources generators is promoted into both the electrical grids and the thermal networks but are often in conflict with the economic aspects. In this context, the optimal management of complex energy networks – including, in particular, smart district heating – may lead to the achievement of important goals from the environmental and sustainability viewpoints. The aim of this paper is to develop a preliminary methodology for the complete evaluation of complex energy networks, considering energy, economic and environmental aspects. With this purpose, a case study consisting in a network for the fulfillment of electrical and thermal needs of the connected users will be analyzed, considering different scenarios in terms of energy generation mix and operation and applying different optimization software. In addition, the carried out evaluations will allow to set the basis for the discussion about the future of energy policies and possible incentives towards the sustainable development of the energy sector.
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Varady, Robert G., Tamee R. Albrecht, Andrea K. Gerlak, and Arin C. Haverland. "Global Water Initiatives Redux: A Fresh Look at the World of Water." Water 14, no. 19 (October 1, 2022): 3093. http://dx.doi.org/10.3390/w14193093.
Повний текст джерелаАнотація:
The complex and globally influential mosaic of institutional frameworks, organizations, events, declarations, professional societies, organizations, and networks that focus on water-resources governance collectively known as “global water initiatives” (GWIs) remains starkly understudied. We address this knowledge gap by means of a robust examination of key actors and institutions involved in global water governance and thereby affirm the dynamic and organic nature of the GWI landscape. Our investigation of the changing landscape of GWIs taps historical and current data and employs both text analysis and bibliometric review. We find that: (1) GWIs have diversified, expanded their constituencies, and gradually extended their influence over how water is perceived, governed, and managed; (2) the institutional landscape within which GWIs exist and operate is continuously shifting to accommodate and lubricate the spread of new ideas, ways of thinking, and available science and tools; (3) networks, megaconferences and their declarations, and water-themed journals likely will continue to be at the leading edge of global water governance and policy; and (4) the advent of the Millennium Development Goals and Sustainable Development Goals has enhanced the relevance of UN-Water, the network of water-related United Nations (UN) agencies. Our findings indicate that as the number of GWIs grows, such proliferation has not necessarily led to duplication, but more likely to diversity and interconnectedness. On balance, GWI activity tends to increase awareness-raising, information-sharing, network-building, agenda-setting, and on-the-ground action. GWI behavior both mirrors and influences prevailing worldviews on water governance and management and taken together, GWI efforts continue to shape international water discourse.
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Leśniak, Agnieszka, and Filip Janowiec. "Risk Assessment of Additional Works in Railway Construction Investments Using the Bayes Network." Sustainability 11, no. 19 (September 29, 2019): 5388. http://dx.doi.org/10.3390/su11195388.
Повний текст джерелаАнотація:
The implementation of railway infrastructure construction projects including sustainable development goals is a complex process characterized by a significant extension of individual investment stages. The need for additional works has a big impact on construction railway projects, representing a risk which is the result of many different factors. During the execution of works, both the design assumptions and the conditions of the project’s implementation can be changed. An attempt to eliminate potential risks is a key element of construction projects. The article proposes a proprietary management method for the risk of additional works in railway projects. A methodology for creating risk management strategies using a standard algorithm that includes risk identification, risk analysis, and risk assessment is presented. The original elements of the work include risk identification followed by analysis using Bayesian networks. Using the example of a scenario of events, it is shown that a well-programmed network can be used to implement risk mitigation methods. Using the network, it is possible to compare different ways to reduce risk, check the effect of reducing the risk factors, and determine a satisfactory level of effects, e.g., increased financial resources as a result of additional works.
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Gohari, Medalen, and Aranya. "Exploring the Impact of Complex Multi-Level Governance Structures on the Societal Contribution of Universities to Knowledge-Based Urban Development." Social Sciences 8, no. 10 (October 2, 2019): 279. http://dx.doi.org/10.3390/socsci8100279.
Повний текст джерелаАнотація:
The current debate aims to reconceptualize the changing role and missions of the university in today’s knowledge economy and investigate how universities’ knowledge resources can benefit urban development and inform the direction of changes in universities. However, there is a lack of empirical studies exploring how governance networks and the institutional conditions of universities in specific contexts can support, limit and/or incentivize the integration of academic activities into societal development. There is a discussion of the various and paradoxical components of university transformation (institutional and physical), affecting their societal contribution, which conceptualizes a holistic and integrated approach towards governance that previously has not been fully investigated. This paper will examine the co-location case of university campuses in Trondheim to explore the implications of a multilevel governance network for achieving the goals of sustainable and knowledge-based urban development. This paper suggests that engineering effective governance is challenging and that factors related to the culture of the institution and their connecting strategies, government priorities, and temporal factors have a great influence on universities’ contribution to their societies. While investigating governance in this topic requires political, cultural, and periodic review, focusing on the interactions of governance multi-layers, this paper concludes that governments’ control functions or some moderate hierarchical coordination is necessary to avoid the failure of university governance and unbalanced societal contributions.
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D’Apuzzo, Mauro, Azzurra Evangelisti, Rose Line Spacagna, Giuseppe Cappelli, Vittorio Nicolosi, Giuseppe Modoni, and Luca Paolella. "Seismic Resilience Assessment Strategy for Social and Sustainability Impact Evaluation on Transportation Road Network: A Seismic Liquefaction-Induced Damage Application." Sustainability 14, no. 14 (July 8, 2022): 8411. http://dx.doi.org/10.3390/su14148411.
Повний текст джерелаАнотація:
Transport networks play a critical role for living communities, as they facilitate the exchange of people and goods and foster economic growth. Improving their resilience against seismic hazards, among which liquefaction is by far one of the most significant and complex, is consistent with most of the Sustainable Development Goals pinpointed by the United Nations’ Agenda. In this paper, an original methodological framework, combining innovative Geo-statistical approaches to analyze soil properties, prediction models for soil liquefaction, and calibrated transport demand models providing the social and economic cost associated with seismic-induced road damages and closures within a renewed Geographical Information Systems (GIS) workspace, is proposed. In particular, based on traditional risk assessment evaluation, an innovative approach to evaluate the exposure in terms of economic loss due to lack of accessibility is presented. The methodology is applied to a district area in northern Italy that underwent a recent seismic event that caused several soil liquefaction phenomena. Results provided by a sensitivity analysis on a stochastic (return period) basis are derived: as the seismic intensity increases, the total social costs increase, but the trend of the rates due to traffic delays and the loss of accessibility are irregular. Although further simulation scenarios need to be undertaken, the proposed methodology seems to provide an effective planning tool to evaluate preventive strategies aimed at improving the resilience of transport networks against liquefaction risk.
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Levkovska, Lyudmila, Inna Irtyshcheva, and Іryna Dubynska. "CURRENT TRENDS IN THE DEVELOPMENT OF THE WATER MANAGEMENT COMPLEX: UKRAINIAN REALITIES AND INTERNATIONAL EXPERIENCE." Baltic Journal of Economic Studies 6, no. 5 (December 2, 2020): 196–202. http://dx.doi.org/10.30525/2256-0742/2020-6-5-196-202.
Повний текст джерелаАнотація:
Aim. The ratification of the Paris Agreement by Ukraine envisages an increase in the ability to adapt to the negative effects of climate change, as well as promoting low carbon development so as not to endanger food production. At the same time, water resources, on the one hand, are one of the most vulnerable to climate change components of the environment from the state of which the food security of the country depends directly, and on the other hand, the activity of the water management complex causes the emergence of both direct and indirect carbon footprint. Therefore, an indispensable prerequisite for sustainable low carbon development is the assessment of the carbon footprint of the main sectors of Ukraine's water management complex and the identification of priority measures for their decarbonisation and adaptation to expected climate change. Methods. The methodological basis for the assessment of the carbon footprint of the main sectors of the water management complex was the life cycle method (LCA), by which, based on the open data of the National Inventory of Anthropogenic Emissions from Sources and Absorption by Greenhouse Gas Absorbers in Ukraine and the statistical analysis of the results of previous studies. By means of systematic analysis of the main factors of greenhouse gas emission in the water management complex of Ukraine, the priority directions of its decarbonisation and adaptation to climate change were determined. Results. The estimated carbon footprint of Ukraine's water complex in 2017 was estimated to be 5.15 million tons of CO2-equiv, which was 1.6% of the total greenhouse gas emissions in Ukraine in 2017, and taking into account the potential carbon footprint enduse processes can be increased by up to 3%. Due to the deterioration of the water supply networks, an average of 35% of the supplied water is lost in Ukraine. Reducing network leakage by at least 10% will reduce carbon footprint by 30,000 tons of CO2-equiv annually. The priority areas for decarbonisation of the water management complex should be modernization of water supply and water treatment infrastructure, improvement of energy efficiency of pumping equipment and introduction of drip irrigation, and its adaptation to climate change – development of the network of green infrastructure. Conclusions. The low-carbon development of the water management system should include the introduction and coordination of such measures, which, on the one hand, minimize the adverse effects of climate change on water resources and contribute to reducing the carbon footprint of water management activities, and on the other hand, guarantee the achievement of sustainable development goals, in particular for ensuring water and society proper sanitary conditions.
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Foti, Vera Teresa, and Giuseppe Timpanaro. "Relationships, sustainability and agri-food purchasing behaviour in farmer markets in Italy." British Food Journal 123, no. 13 (October 11, 2021): 428–53. http://dx.doi.org/10.1108/bfj-04-2021-0358.
Повний текст джерелаАнотація:
PurposeThe study aims to demonstrate that farmers' markets can represent a model of environmental, social and governance reference for modern agri-food systems facing the challenge of post COVID-19 pandemic reconstruction, responding to consumer expectations in terms of health, safety and wholesomeness of agri-food products.Design/methodology/approachA sample of consumers was surveyed in farmers' markets and social network analysis (SNA) was adopted as a methodological approach to reconstruct the links between the worlds of production and consumption and to derive the relative importance attributed to various factors that promote relational structures.FindingsThe work demonstrates the importance of sustainability – as a productive and behavioural model of firms – for the construction of efficient and durable relationship systems in two farmer markets in Sicily. In particular, four fundamental components emerge in the construction of networks represented by consumer sensitivity to sustainability processes, the individual behavioural model of purchasing and consumption, the expectation of political direction and the level and factors of knowledge of the firm. The clustering elements of the relationships were found to be the territory and local products, the environmentalist attitude and the protection of resources, as well as the adoption of a rational waste disposal policy, the fight against food waste, the encouragement of healthier and more sustainable consumption styles, clear and transparent communication and the activation of sustainable supply chain processes in line with the Sustainable Development Goals (SDGs).Originality/valueThe paper aims to demonstrate how alternative food systems can become a useful model for large enterprises, which are committed to rebuilding their business strategy to overcome the current crisis.
Дисертації з теми "Complex Networks, Network Reconstruction, Sustainable Development Goals"
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Garuccio, Elena. "Reconstruction, modelling and analysis of economic networks." Doctoral thesis, Università di Siena, 2018. http://hdl.handle.net/11365/1059854.
Повний текст джерелаАнотація:
In Chapter 1 We present the mathematical and theoretical framework to define a universally renormalizable model of complex network, which we prove to be consistent with the fitness model. We also show how the model leads to Lévy-stable fitness distributions and random scale-free networks if the hidden variables are resampled at each renormalization. By contrast, we show how the model, with fixed fitness parameters, naturally describes real-world networks. Beside the theoretical framework for the network topology, we also provide a model for the reconstruction of links weight based on a modified version of the gravity model.
In Chapter 2 We apply our universally rescaling model for complex networks to two main economic networks. Firstly we analyze both the binary undirected and weighted directed World Trade Network. Secondly, we study the the elec- tronic Market for Internet Deposit for the Italian bank. The former describes trade between countries and the latter reports financial transactions between Italian banks for the period of one year. In this chapter we show how our model performs in reconstructing both topological and weighted properties of these networks and of their coarse grained representation.
In Chapter 3 we apply a community detection algorithm for correlation matrices, based on Random Matrix Theory, to study community structures in the United Nations Sustainable Development Goals (UN-SDG) indicators. We discuss the issue of competing indicators which seems to be confirmed by thefounding of communities that are highly correlated internally and poorly corre- lated with the members of the external groups.
Тези доповідей конференцій з теми "Complex Networks, Network Reconstruction, Sustainable Development Goals"
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Bryukhanova, E. R., and О. А. Antamoshkin. "Carbon footprint minimization using zeroing neural networks." In III All-Russian Scientific Conference with International Participation "Science, technology, society: Environmental engineering for sustainable development of territories". Krasnoyarsk Science and Technology City Hall, 2022. http://dx.doi.org/10.47813/nto.3.2022.6.382-389.
Повний текст джерелаАнотація:
This article describes the development and application of the approach of using a zeroing neural network (ZNN) to solve problems of optimizing carbon footprint emissions using the example of a system approach model.The described model is an integrated optimization problem based on a model previously developed by other authors and the method of zeroing neural networks. The optimization problem, which is described by the objective function representing the minimization of carbon emissions and restrictions, is complex. To solve this problem, an approach based on the use of zeroing neural networks was developed. The developed model is an improved version of the original model.In this work, we are developing an energyoriented production planning framework that takes into account economic indicators such as demand satisfaction and economies of scale. However, we do not calculate the associated production costs. In fact, it is necessary to find an important compromise between reducing emissions and production costs. Accordingly, energy-oriented production planning can be viewed as a multi-purpose optimization task in which decision makers try to optimize their decisions in terms of a set of goals, such as minimizing total emissions versus minimizing total costs.