What Computer Scientists Can Learn From Social Scientists : On the Significance of an Interdisciplinary Research Agenda for Shaping Digitalization and its Social Implications

Gabriel Bartl, L. Gerhold, Kilian Dorner
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引用次数: 1

Abstract

This contribution aims to illustrate the importance of interdisciplinary exchanges between computer scientists and social scientists in order to navigate and regulate processes of digitalization. An awareness of the differences between those two scientific cultures is a necessary precondition for unambiguous and successful communication. We hold the view that such a perspective is indispensable for cushioning the various effects on the social level that are connected with the constantly increasing relevance of digitalization in everyday life. To make our insights clearer, we focus on challenges engineers encounter when developing algorithms in the field of security technologies. On the whole, the paper intends to reveal the occasional perfidious complexities in innovation processes and votes for a strong support and assistance of software engineers through social scientists with regard to questions of technology assessment and responsibility, especially in the context of such a strongly politicized field as digitalized security.
计算机科学家可以从社会科学家那里学到什么:关于塑造数字化及其社会影响的跨学科研究议程的意义
这篇文章旨在说明计算机科学家和社会科学家之间跨学科交流的重要性,以便引导和规范数字化进程。认识到这两种科学文化之间的差异是进行明确而成功的交流的必要前提。我们认为,这种观点对于缓冲与日常生活中不断增长的数字化相关的社会层面的各种影响是必不可少的。为了使我们的见解更清晰,我们将重点放在工程师在开发安全技术领域的算法时遇到的挑战上。总体而言,本文旨在揭示创新过程中偶尔出现的背信弃义的复杂性,并通过社会科学家在技术评估和责任问题上,特别是在数字化安全这样一个强烈政治化的领域的背景下,为软件工程师提供强有力的支持和帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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