New public participatory modes of practice are emerging in fields as diverse as politics, healthcare and research. In part, these DIY and citizen-led initiatives have gained momentum from the optimism of new technologies, which allow unprecedented access to previously inaccessible knowledge and tools. Equally, they are the result of a growing frustration with power hierarchies and systems that reinforce elites. Experts are increasingly regarded with suspicion as trust in public institutions is eroded and individuals begin to give more weight to personal accounts, and information shared within networks of peers. In this climate there is a critical need for improved knowledge transfer practices based on improved empathy, understanding and communication of shared values and motivations. In this session we questioned the role of expertise in a changing landscape of knowledge production and practice. Using the lens of science & technology communication and hands-on DIY practices, we explored how to move towards a more inclusive model of knowledge transfer, where different types of expertise are acknowledged and valued.
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Date of publication Sep 20, 2017 Category: Commentary
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Date of publication Sep 20, 2017 Category: Commentary
Science communication: process, power and politics
The “post-truth” age of “alternative facts” suggests both the urgent need for effective science communication and also its failure over the past thirty years. Two sessions at the Science in Public conference explored what could be done. Responsible Research and Innovation is presented as one possible way forward with the NUCLEUS project offered as an example. The result would be to transform “science communication” so that public engagement shares not only knowledge but the power that goes with it.
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Date of publication Sep 20, 2017 Category: Commentary
Does being human influence science and technology?
This article addresses two major questions about women and science. Firstly, the commentary looks at the ways science and technology are discussed and represented all around us in society. Secondly, I ask whether this matters. The defining issue is therefore whether or not being human affects the type of science and technology that is conducted and valued within our society. By addressing these questions in science communication, we can add much to the debate about gender diversity and affirmative action being portrayed in our media and culture.
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Date of publication Sep 20, 2017 Category: Commentary
From ‘post truth’ to e-persons, contemporary issues in science communication
The Science in Public Conference, held this year at the University of Sheffield, generated animated discussion of a wide range of topics. Six commentaries cover conference themes around engagement with science and technology and how science and technology are shaping what it means to be human. The commentaries range from discussions of our relationship with expertise and how science communication can better act as a knowledge broker in a time of ‘alternative facts’ to exploration of fictional narratives and how they might be used to open up dialogue about science and technology.
The changing face of expertise and the need for knowledge transfer
by Aleksandra Berditchevskaia, Cindy Regalado and Stephan Van DuinRobots, AI, and the question of ‘e-persons’ ― a panel at the 2017 Science in Public conference, 10–12 July 2017
by Michael Szollosy -
Date of publication Sep 20, 2017 Category: Commentary
SiP 2017 panel: speculations and concerns on robots' status in society
Studying fictional depictions of robots and artificial intelligence in cinematographic science fiction narratives acquires a new level of relevance as legislators' approaches to the subject seem to be strongly influenced by popular culture. This panel of Science in Public 2017 presented various on-going investigations of this kind, showing that the critical mass in this area of research is growing
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Date of publication Jun 21, 2017 Category: Commentary
Computer-aided text analysis: an open-aired laboratory for social sciences
Thanks, on the one hand, to the extraordinary availability of colossal textual archives and, on the other hand, to advances in computational possibilities, today the social scientist has at their disposal an extraordinary laboratory, made of millions of interacting subjects and billions of texts. An unprecedented, yet challenging, opportunity for science. How to test, corroborate models? How to control, interpret and validate Big Data? What is the role of theory in the universe of patterns and statistical correlations? In this article, we will show some general characteristics of the use of computational tools for the analysis of texts, and some applications in the areas of public communication of S&T and Science and Technology Studies (STS), also showing some of their limitations and pitfalls.
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Date of publication Jun 21, 2017 Category: Commentary
The landscape of online visual communication of science
Online visual communication of science focuses on interactive sharing and participatory collaboration rather than simple knowledge dissemination. Visuals need to be stunning to draw people in and engage them, and a cross-media approach together with digital multimedia tools can be used to develop a clear and engaging narrative to communicate complex scientific topics. On the web both science communicators and the public manage co-create, shape, modify, decontextualise and share visuals. When it happens that low science literacy publics devoid a picture of its information assets, caption or source, they distort image meaning and perpetuate misinformation.
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Date of publication Jun 21, 2017 Category: Commentary
Big data and digital methods in science communication research: opportunities, challenges and limits
Computational social science represents an interdisciplinary approach to the study of reality based on advanced computer tools. From economics to political science, from journalism to sociology, digital approaches and techniques for the analysis and management of large quantities of data have now been adopted in several disciplines. The papers in this JCOM commentary focus on the use of such approaches and techniques in the research on science communication. As the papers point out, the most significant advantages of a computational approach in this sector include the chance to open up a range of new research opportunities: from the study of technical and scientific controversies to citizen science, from the definition of new norms and practices for science journalism to open science issues. On the other hand, difficulties are shared with other areas of application. The main risk is that the large quantity of data available can overwhelm the importance of theory. Instead, as the papers in this commentary demonstrate, big data should push scientists to pursue a deeper epistemological and methodological reflection also in the research on science communication.
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Date of publication Jun 21, 2017 Category: Commentary
The shift from public science communication to public relations. The Vaxxed case
Social media is restructuring the dynamics of science communication processes inside and outside the scientific world. As concerns science communication addressed to the general public, we are witnessing the advent of communication practices that are more similar to public relations than to the traditional processes of the Public Understanding of Science. By analysing the digital communication strategies implemented for the anti-vaccination documentary Vaxxed, the paper illustrates these new communication dynamics, that are both social and computational.
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Date of publication Jun 21, 2017 Category: Commentary
Making citizen science newsworthy in the era of big data
This article examines certain guiding tenets of science journalism in the era of big data by focusing on its engagement with citizen science. Having placed citizen science in historical context, it highlights early interventions intended to help establish the basis for an alternative epistemological ethos recognising the scientist as citizen and the citizen as scientist. Next, the article assesses further implications for science journalism by examining the challenges posed by big data in the realm of citizen science. Pertinent issues include potential risks associated with data quality, access dynamics, the difficulty investigating algorithms, and concerns about certain constraints impacting on transparency and accountability.