{"title":"Making futures that matter: Future making, online working and organizing remotely","authors":"J. Whyte, Alice Comi, Luigi Mosca","doi":"10.1177/26317877211069138","DOIUrl":null,"url":null,"abstract":"Future making is the work of making sense of possible and probable futures, and evaluating, negotiating and giving form to preferred ones. Practices of making futures are increasingly online. Yet, as organizational participants come together online – organizing remotely to make offline futures – they lack the shared experiential knowledge that is gained through embodied and situated practices. In this essay, we argue that the lack of experiential knowledge makes future making online difficult to organize and vulnerable to excluding relevant expertise; dialogue may become inward-looking and self-referential within the online environment, with an emotional and cognitive distance from the futures being made outside of such representations. We draw on the pragmatist tradition to theorize online future making, to articulate its dynamics and the challenges that arise, and to suggest remedial actions. By conceptualizing future making as a form of inquiry – as a distributed and reflective process that proceeds through engagement with representations of the future – we identify three remedial actions for online future making: to solicit feedback, juxtapose alternatives and change medium. These remedial actions seek to compensate for the lack of shared experiential knowledge by both sustaining the online involvement of heterogeneous remote participants and by bringing in relevant (offline) places, people and materials to online future making.","PeriodicalId":50648,"journal":{"name":"Computational and Mathematical Organization Theory","volume":"22 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Mathematical Organization Theory","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/26317877211069138","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 6
Abstract
Future making is the work of making sense of possible and probable futures, and evaluating, negotiating and giving form to preferred ones. Practices of making futures are increasingly online. Yet, as organizational participants come together online – organizing remotely to make offline futures – they lack the shared experiential knowledge that is gained through embodied and situated practices. In this essay, we argue that the lack of experiential knowledge makes future making online difficult to organize and vulnerable to excluding relevant expertise; dialogue may become inward-looking and self-referential within the online environment, with an emotional and cognitive distance from the futures being made outside of such representations. We draw on the pragmatist tradition to theorize online future making, to articulate its dynamics and the challenges that arise, and to suggest remedial actions. By conceptualizing future making as a form of inquiry – as a distributed and reflective process that proceeds through engagement with representations of the future – we identify three remedial actions for online future making: to solicit feedback, juxtapose alternatives and change medium. These remedial actions seek to compensate for the lack of shared experiential knowledge by both sustaining the online involvement of heterogeneous remote participants and by bringing in relevant (offline) places, people and materials to online future making.
期刊介绍:
Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques.
Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.