FUTURES & FORESIGHT SCIENCE最新文献

{"title":"Pratixa: A Cognitive Framework for Behavioral Decision-Making and Its Mathematical Formalization","authors":"Santhosh Kareepadath Rajan","doi":"10.1002/ffo2.70017","DOIUrl":"https://doi.org/10.1002/ffo2.70017","url":null,"abstract":"<div>\u0000 \u0000 <p>The present study introduces <i>pratixa</i>, an internal cognitive structure that functions as a reference architecture guiding human decision-making. <i>Pratixa</i> is a dynamic, event-sensitive archive of anticipated outcomes of behavior, learned event-behavior-outcome associations, and adaptive behavioral responses, drawing on the theories from decision science, psychology, and behavioral adaptation. Past experiences shape <i>pratixa</i>, and iterative learning reinforces it. It supports predictive mental representations by enabling individuals to anticipate the outcomes of their own behavioral responses and adjust those responses when discrepancies arise between anticipated and actual outcomes. <i>Pratixa</i> supports anticipatory learning and real-time correction, making it a future-oriented cognitive structure for decision making. It matures in a spiral progression, from null <i>pratixa</i>, where no prior event-behavior-outcome associations exist, through quixotic <i>pratixa</i>, characterized by illusory or arbitrary associations, to realistic <i>pratixa</i>, where causal relationships are adequately approximated. This spiral maturation reflects how individuals adapt through experiential learning and reinforcement, transitioning from effortful reasoning to increasingly automatic and context-sensitive decision-making. By positioning decision-making within this evolving structure, <i>pratixa</i> offers a distinct perspective on predictive cognition in complex and ambiguous contexts, with implications for strategic foresight, behavioral economics, and adaptive behavioral decision making. The study also proposes a mathematical formulation to represent how this reference architecture evolves through reinforcement-based learning and guides decision-making, providing a computational basis for modeling human foresight and adaptation.</p>\u0000 </div>","PeriodicalId":100567,"journal":{"name":"FUTURES & FORESIGHT SCIENCE","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ffo2.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144920556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interactive Horizon Scanning of the Forest Bioeconomy With a Nested Business Environment Framework","authors":"Tuomas Mauno,&nbsp;Päivi Pelli,&nbsp;David N. Bengston,&nbsp;Jouni Pykäläinen,&nbsp;Teppo Hujala","doi":"10.1002/ffo2.70015","DOIUrl":"https://doi.org/10.1002/ffo2.70015","url":null,"abstract":"<p>In sectors based on renewable resources, foresight studies have often been macro-scale, quantitative outlook studies. As a result, in the complex operating environment of the forest bioeconomy, the organizations and professionals of the emerging bioeconomic sector have not been able to fully utilize futures information in their decision-making processes. This study sought to find solutions to this issue by utilizing a nested business environment framework (NEST framework) in signal interpretation as part of piloting interactive horizon scanning of the forest bioeconomy. In interaction with a diverse group of forest bioeconomy stakeholders, the horizon scanning exercise collected and interpreted signals of change. The aim was to increase forest bioeconomy actors' sense of ownership towards signals information. This study discusses strengths and weaknesses of interactive horizon scanning in the context of the forest bioeconomy and raises awareness of the opportunities and challenges of using a NEST framework in signal interpretation. The study contributes to the analytical tools and has practical implications for interpreting signals of change in the forest bioeconomy and other sectors based on renewable resources. According to the results, the NEST framework used in signal interpretation has strengths, but revealing its full potential requires further development. These developments may include the application of the framework in concrete, timely stakeholder contexts, both involving forest bioeconomy actors and a necessary outside-in perspective from other sectors.</p>","PeriodicalId":100567,"journal":{"name":"FUTURES & FORESIGHT SCIENCE","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ffo2.70015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144773815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial Scenarios With Real-Time Spatial Delphi and Asymptotic Consensus Analysis: An Application to Ten European Coastal Cities","authors":"Yuri Calleo,&nbsp;Francesco Pilla,&nbsp;Simone Di Zio","doi":"10.1002/ffo2.70013","DOIUrl":"https://doi.org/10.1002/ffo2.70013","url":null,"abstract":"<p>Recent climatic events, such as coastal erosion, floods, and elevated temperatures, threaten the planet's sustainability and the well-being of European coastal cities. These events are expected to increase significantly, emphasizing the urgent need for careful analysis to inform policy development and prevent dystopian scenarios. In the Futures Studies (FS) context, the development of future scenarios is essential for depicting long-term outcomes and facilitating effective planning, which can be achieved using various methods, including the Real-Time Spatial Delphi. This paper applies to the Delphi-based spatial scenario (DBSS), adopting a novel web-based open platform, to obtain spatial convergence of opinions among a panel of experts using spatial analysis and statistical indicators. The DBSS method was applied to 10 European coastal areas in seven different countries, involving 167 experts to assess climate impacts in 2050. This paper introduces for the first time, the concept of Asymptotic Theoretical Consensus to obtain a deeper understanding of the dynamic process, including duration, smoothness of convergence, and stability. The identified scenarios validate the proposed method and provide significant benefits to stakeholders, policymakers, local authorities, and governmental bodies in formulating efficacious strategies and confronting the challenges presented by climate change.</p>","PeriodicalId":100567,"journal":{"name":"FUTURES & FORESIGHT SCIENCE","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ffo2.70013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Participatory Scenario Framework Advances Ecosystem Scenarios as Environmental Futures Approach","authors":"Ludwig Weh","doi":"10.1002/ffo2.70005","DOIUrl":"https://doi.org/10.1002/ffo2.70005","url":null,"abstract":"<p>Ecosystem scenarios describe possible, probable and desirable developments of the natural environment in the future, often assessed from a natural scientific (biophysical) and social scientific (socioeconomic) perspective. Processing relevant systemic and human behavioral parameters as scenario factors or drivers, different frameworks for ecosystem scenario building have been developed, applied, and evaluated in scientific literature. Increasingly, stakeholder participation has proven a central objective and challenge for these frameworks defining process designs in transdisciplinary domains such as science-society or science-policy interfaces. This article presents a conceptual framework to advance ecosystem scenario projects towards improved stakeholder participation, knowledge inclusivity and process reflexivity. The framework combines epistemological and methodological elements from futures studies with established research practices in ecosystem assessment projects. The framework's dynamic, adaptive character adds deliberative and reflexive elements to process design and application for a more inclusive and stakeholder-oriented research practice. Its novelty lies in the continuous configuration of process variables derived from common dichotomous elements of theoretical scenario classification applied in scenario practice. This approach benefits integrated knowledge management and inclusivity within the framework for multi-method, multi-stakeholder, multi-sector and multi-epistemic scenario processes. In a wider scope of environmental futures approaches, this article details the development, conceptual outline and preliminary application of the participatory framework for testing and evaluation in an ongoing ecosystem scenario project.</p>","PeriodicalId":100567,"journal":{"name":"FUTURES & FORESIGHT SCIENCE","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ffo2.70005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144292866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supporting Scenario-Based Decision-Making With Multi-Objective Optimization","authors":"Pekka Korhonen,&nbsp;Juuso Liesiö,&nbsp;Aapo Siljamäki,&nbsp;Jyrki Wallenius","doi":"10.1002/ffo2.70012","DOIUrl":"https://doi.org/10.1002/ffo2.70012","url":null,"abstract":"<p>Scenarios are commonly used to support decision-making by evaluating how each decision alternative performs in each scenario. These evaluations are then used to identify the preferred alternative in view of all scenarios. Many suggested approaches interpret scenarios as mutually exclusive states, which enables the use of subjective expected utility (SEU) to aggregate the scenario-specific performance but requires estimates on the scenario probabilities. Other approaches treat scenarios as attributes and utilize multi-attribute value theory (MAVT) to capture alternatives' overall performance, in which case both the likelihood and importance of scenarios are captured by attribute weights. In this paper, we establish a series of theoretical results demonstrating that Pareto optimality serves as a noncontroversial solution concept for both approaches and thus propose using the alternatives' performances in each scenario as the objective functions of a multi-objective optimization model. This allows the use of existing multi-objective optimization approaches, such as Pareto Race and robust portfolio modeling, to support the decision-maker in identifying the preferred alternative. The use of multi-objective optimization avoids the difficult task of eliciting scenario probabilities. We illustrate our ideas with a small-scale example and a scenario-based foresight application, with data from a real-world application.</p>","PeriodicalId":100567,"journal":{"name":"FUTURES & FORESIGHT SCIENCE","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ffo2.70012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Participatory Methods in Corporate Foresight: A Systematic Literature Review of Case Studies and Guidelines for Reporting","authors":"Jörg M. Delhaes,&nbsp;Ana C. L. Vieira,&nbsp;João F. Pimenta,&nbsp;Mónica D. Oliveira","doi":"10.1002/ffo2.70011","DOIUrl":"https://doi.org/10.1002/ffo2.70011","url":null,"abstract":"<p>Case studies developed in real settings are essential to generate insights into Corporate Foresight research, as they provide evidence of the relevance of foresight approaches in practical contexts while inspiring new approaches and applications. Proper reporting of methods used in case study publications is necessary to communicate the results' validity, enable studies' replicability, and learn from practice. A key component of case studies in Corporate Foresight is the design and implementation of participation. Aiming to show how participation has been utilized in the Corporate Foresight field, this study presents a systematic literature review that examines the participatory component of Corporate Foresight case studies published between 2003 and 2023. The review was designed to inform about which contexts have case studies been applied to and which decisions have been supported; which participatory processes and methods have been adopted over time, and whether new processes and methods are being used and shaped by emerging technologies; and whether participatory processes and methods have been documented to enable study replicability and an understanding of participatory processes. For this later purpose, we built a taxonomy to enable analysis of the level of documentation of participation in the reviewed case studies. Results show (i) literature is diverse and growing, but the application of participatory methods is often limited to traditional setups; (ii) few case studies comprehensively describe their participatory component, revealing significant gaps in the documentation required to understand how and why it was designed and implemented. An integrative review helped understand the reasons for these findings and make a case for improving the documentation of participation and exploring the use of novel technologies in Corporate Foresight research. We propose guidelines to help future researchers better document their case studies, enable research replicability, and generate more insights and learnings for future studies.</p>","PeriodicalId":100567,"journal":{"name":"FUTURES & FORESIGHT SCIENCE","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ffo2.70011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Avoiding Nightmare Forests: Insights From a Co-Creative Workshop","authors":"Ayonghe Nebasifu,&nbsp;Hanna Ekström,&nbsp;Bogomil Iliev,&nbsp;Sampo Pihlainen,&nbsp;Stefanie Linser,&nbsp;Fredy D. Polo-Villanueva,&nbsp;Anne Viljanen,&nbsp;Martin Charlier,&nbsp;Md. Rayhanur Rahman,&nbsp;Krzysztof Niedzialkowski,&nbsp;Juulia Kuhlman,&nbsp;Aino Assmuth,&nbsp;Derek Garfield,&nbsp;Dalia D'Amato,&nbsp;Nils Droste","doi":"10.1002/ffo2.70010","DOIUrl":"https://doi.org/10.1002/ffo2.70010","url":null,"abstract":"<p>Since the 1987 UN report “Our Common Future”, aimed at bridging divides among various stakeholders by advocating for “sustainable development”, renewed demands for environmentally adjusted measures have emerged, calling for a future that consolidates socially just, ecologically sound, and economically viable outcomes through sustainable forest management. For Nordic forests, this means policy measures focused on enhancing the forest-based bioeconomy, transitioning to a fossil-free society, adapting to climate change and combatting rapid biodiversity loss while securing continuous timber supply and valuable livelihoods. With expectations for Nordic forests to meet these demands, an impending challenge is how to bring about a desirable future while minimizing uncertainties. Given this urgency, we present a backcasting method applied to a co-creative workshop among research scholars to examine prospective scenarios for Nordic forests, ranging from nightmarish futures to risk-mitigation strategies. The workshop builds on an interdisciplinary research project to provide policy support for sustainable governance. We found that despite fears expressed about an adverse intensive forestry scenario, most participants identified multifunctionality and delivering multiple ecosystem services as critical to the future sustainability of Nordic forests. In addition, participants highlighted the coming need to incorporate hybrid forest management approaches for high-value biodiversity and to consider precautionary measures in forestry decisions. We conclude that approaching the future through a backcasting workshop promises to bring together a broad range of participants to create a common vision.</p>","PeriodicalId":100567,"journal":{"name":"FUTURES & FORESIGHT SCIENCE","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ffo2.70010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Continuous Distributions and Measures of Statistical Accuracy for Structured Expert Judgment","authors":"Guus Rongen,&nbsp;Gabriela F. Nane,&nbsp;Oswaldo Morales-Napoles,&nbsp;Roger M. Cooke","doi":"10.1002/ffo2.70009","DOIUrl":"https://doi.org/10.1002/ffo2.70009","url":null,"abstract":"&lt;p&gt;This study evaluates five scoring rules, or measures of statistical accuracy, for assessing uncertainty estimates from expert judgment studies and model forecasts. These rules — the Continuously Ranked Probability Score (&lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;CRPS&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ${CRPS}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;), Kolmogorov-Smirnov (&lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;KS&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ${KS}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;), Cramer-von Mises (&lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;CvM&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ${CvM}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;), Anderson Darling (&lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;AD&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ${AD}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;), and chi-square test — were applied to 6864 expert uncertainty estimates from 49 Classical Model (CM) studies. We compared their sensitivity to various biases and their ability to serve as performance-based weight for expert estimates. Additionally, the piecewise uniform and Metalog distribution were evaluated for their representation of expert estimates because four of the five rules require interpolating the experts' estimates. Simulating biased estimates reveals varying sensitivity of the considered test statistics to these biases. Expert weights derived using one measure of statistical accuracy were evaluated with other measures to assess their performance. The main conclusions are (1) &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;CRPS&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ${CRPS}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; overlooks important biases, while chi-square and &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;AD&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ${AD}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; behave similarly, as do &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;KS&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ${KS}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; and &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;CvM&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ${CvM}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;. (2) All measures except &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;CRPS&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ","PeriodicalId":100567,"journal":{"name":"FUTURES & FORESIGHT SCIENCE","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ffo2.70009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Foresight-Related Dynamic Capabilities in Finnish Forest-Based Bioeconomy SMEs","authors":"Anu Laakkonen,&nbsp;Aleksi Heiskanen,&nbsp;Annukka Näyhä,&nbsp;Anne Toppinen,&nbsp;Elias Hurmekoski","doi":"10.1002/ffo2.70007","DOIUrl":"https://doi.org/10.1002/ffo2.70007","url":null,"abstract":"<div>\u0000 \u0000 <p>A highly uncertain and complex operating environment with numerous sustainability challenges creates pressure on companies and other societal actors to renew their practices and business models. Practicing corporate foresight, that is, applying foresight methods in strategic decision-making, together with a futures-conscious mindset, can help diverse companies to maintain their competitive advantage. Companies' dynamic capabilities on foresight and futures consciousness can facilitate sensing unexpected events, seizing emerging opportunities, and reconfiguring their business models and strategies to respond to changes in the operating environment. This study explored the foresight-related dynamic capabilities of small and medium-sized enterprises (SMEs) in the Finnish forest-based bioeconomy. A mixed methods approach was followed in which data were collected from Finnish SMEs using semi-structured interviews and an online questionnaire. The data were analyzed using interpretive content analysis and descriptive statistics. The findings suggest that the included Finnish forest-based bioeconomy SMEs do have the capability to sense and seize opportunities within the changing operating environment. However, the managements' perceptions emphasize short-term operational planning of their activities occurring in a rather closed and predictable environment. There were only limited indications of the capability to reconfigure business models in a futures-conscious way. Thus, it can be suggested that nurturing a more open mindset toward alternative future pathways, recognizing how company actions impact other actors and the operating environment, and utilizing foresight-generated knowledge in strategic planning and decision-making can provide opportunities to create new sources of sustainable competitive advantage.</p>\u0000 </div>","PeriodicalId":100567,"journal":{"name":"FUTURES & FORESIGHT SCIENCE","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ffo2.70007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “The Holistic Framework of Time for Warfare”","authors":"","doi":"10.1002/ffo2.70008","DOIUrl":"https://doi.org/10.1002/ffo2.70008","url":null,"abstract":"<p>Hiltunen, E., and Huhtinen, A.-M. 2025. “The Holistic Framework of Time for Warfare.” <i>Futures &amp; Foresight Science</i> 7: e200. https://onlinelibrary.wiley.com/doi/epdf/10.1002/ffo2.200.</p><p>We apologize for this error.</p>","PeriodicalId":100567,"journal":{"name":"FUTURES & FORESIGHT SCIENCE","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ffo2.70008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}