Search results for "skenaariot"
showing 10 items of 29 documents
Trade-offs between ecosystem service provision and the predisposition to disturbances: a NFI-based scenario analysis
2020
Abstract Background Scenario analyses that evaluate management effects on the long-term provision and sustainability of forest ecosystem services and biodiversity (ESB) also need to account for disturbances. The objectives of this study were to reveal potential trade-offs and synergies between ESB provision and disturbance predisposition at the scale of a whole country. Methods The empirical scenario model MASSIMO was used to simulate forest development and management from years 2016 to 2106 on 5086 sample plots of the Swiss National Forest Inventory (NFI). We included a business-as-usual (BAU) scenario and four scenarios of increased timber harvesting. Model output was evaluated with indic…
LR-NIMBUS : an interactive algorithm for uncertain multiobjective optimization with lightly robust efficient solutions
2022
In this paper, we develop an interactive algorithm to support a decision maker to find a most preferred lightly robust efficient solution when solving uncertain multiobjective optimization problems. It extends the interactive NIMBUS method. The main idea underlying the designed algorithm, called LR-NIMBUS, is to ask the decision maker for a most acceptable (typical) scenario, find an efficient solution for this scenario satisfying the decision maker, and then apply the derived efficient solution to generate a lightly robust efficient solution. The preferences of the decision maker are incorporated through classifying the objective functions. A lightly robust efficient solution is generated …
Hybrid Engagement: Discourses and Scenarios of Entrepreneurial Journalism
2018
Although the challenge posed by social media and the participatory turn concerns culture and values at the very heart of journalism, journalists have been reluctant to adopt participatory values and practices. To encourage audience participation and to offer journalism that is both trustworthy and engaging, journalists of the future may embrace a hybrid practice of journalistic objectivity and audience-centred dialogue. As innovative and experimental actors, entrepreneurial journalism outlets can perform as forerunners of such a culture. By analysing discourses in the “About Us” pages of 41 entrepreneurial journalism outlets, the article examines the emerging journalistic ethos of entrepren…
Sectoral policies cause incoherence in forest management and ecosystem service provisioning
2022
Various national policies guide forest use, but often with competing policy objectives leading to divergent management paradigms. Incoherent policies may negatively impact the sustainable provision of forest ecosystem services (FES), and forest multifunctionality. There is uncertainty among policymakers about the impacts of policies on the real world. We translated the policy documents of Finland into scenarios including the quantitative demands for FES, representing: the national forest strategy (NFS), the biodiversity strategy (BDS), and the bioeconomy strategy (BES). We simulated a Finland-wide systematic sample of forest stands with alternative management regimes and climate change. Fin…
Using human-values as a guide for understanding worthy design directions in augmented reality
2016
Augmented reality is a fast developing field, which will no doubt gain strong footing in the area of social media in the near future. Recently, Google Glass placed AR towards the top of the technological hype curve in regards to interaction possibilities, information overlay, information search and recording. Questions still remain however, regarding the added-value that AR offers to already existing interaction modes and technologies. In this study four concepts were designed and tested via video scenarios. The concepts related to three main product categories: educational tools; information presentation; and x-ray vision. The results positively reflected on the application of AR for educa…
Interactive decision support and trade-off analysis for sustainable forest landscape planning under deep uncertainty
2022
Sustainable environmental management often involves long-term time horizons and multiple conflicting objectives and, by nature, is affected by different sources of uncertainty. Many sources of uncertainty, such as climate change or government policies, cannot be addressed using probabilistic models, and, therefore, they can be seen to contain deep uncertainty. In this setting, the variety of possible future states is represented as a set of scenarios lacking any information about the likelihood of occurring. Integrating deep uncertainty into multiobjective decision support increases complexity, calling for the elaboration of appropriate methods and tools. This paper proposes a novel intera…
HR scenario game : Learning human resource management in a virtual environment
2021
This paper introduces a computer-based online scenario game that was developed to enhance the learning of human resource management (HRM) in an undergraduate course at a business school in Finland. What makes this game unique is that students played an important and active role in developing the game in collaboration with lecturers. Our findings show that the game enhances learning, interaction, and collaboration among students. We discuss how computer-based games and their development in collaboration with students can be used as a means for learning and improving working-life skills in higher education.
Interactive multiobjective optimization with NIMBUS for decision making under uncertainty
2013
We propose an interactive method for decision making under uncertainty, where uncertainty is related to the lack of understanding about consequences of actions. Such situations are typical, for example, in design problems, where a decision maker has to make a decision about a design at a certain moment of time even though the actual consequences of this decision can be possibly seen only many years later. To overcome the difficulty of predicting future events when no probabilities of events are available, our method utilizes groupings of objectives or scenarios to capture different types of future events. Each scenario is modeled as a multiobjective optimization problem to represent differe…
Multi-scenario multi-objective robust optimization under deep uncertainty: A posteriori approach
2021
This paper proposes a novel optimization approach for multi-scenario multi-objective robust decision making, as well as an alternative way for scenario discovery and identifying vulnerable scenarios even before any solution generation. To demonstrate and test the novel approach, we use the classic shallow lake problem. We compare the results obtained with the novel approach to those obtained with previously used approaches. We show that the novel approach guarantees the feasibility and robust efficiency of the produced solutions under all selected scenarios, while decreasing computation cost, addresses the scenario-dependency issues, and enables the decision-makers to explore the trade-off …
Images of the future for a circular economy : The case of Finland
2022
A transition from a linear to a circular economy (CE) is one of the key solutions to the sustainability crisis. A CE requires new mental models and insights, especially of a desirable future towards which to move. A CE aims at making better use of resources and jointly considers economic, environmental and social sustainability aspects in the long run. The objective of this study is to develop alternative images of the future for CE in Finland in 2050. The study was performed using qualitative research methods and covers extensive data from 61 interviews with experts. We analysed the data using qualitative content analysis. Four alternative images of the future were generated: A circular su…