--- tags: workshop2020 --- # SciBeh Virtual Workshop 2.1 ## Managing Online Discourse [Session whiteboard](http://bit.ly/scibeh-discourse) | [Discussion forum]() _Session overview:_ Online environments are increasingly important spaces for research discourse, as review, critique, and discussion expand beyond journal peer review and publication to pre-print servers and even social media (e.g., Twitter). Discourse has important functions for research: Review, critique, and discussion of research help to refine new ideas and findings, correct errors, and increase the epistemic diversity of work. Knowledge needs to be well-communicated outside the academic sphere to avoid misinterpretation and misinformation. Online, transparent, constructive research discourse can take place quickly, raising the profile of research findings. In open online spaces, critique and review may also not be as detailed as through the traditional processes. Uncertainty and disagreements are also unavoidable in science, and discourse can get heated and become unproductive. At worse, scientific disagreement may harm public perception of science and research. For these reasons, researchers may be reluctant to engage with critiques of their work, or publicly critique others’ work.  In this session, we address the issue of building sustainable, transparent, and constructive online discourse among researchers as well as between researchers and the wider public. Some of the questions we ask are:  * What levels of discourse support quality assurance in research?  * Why should researchers discuss work in online spaces, with each other and with the public? * How should researchers engage in online research discourse to combat misinformation? _Speakers:_ **[Pat Healey](https://www.applieddatascience.qmul.ac.uk/people/phealey)** is a Professor and Turing Fellow at the Institute of Applied Data Science, Queen Mary University of London. In this session, he will talk about communication using digital technologies. **[Namkje Koudenburg](https://www.rug.nl/staff/n.koudenburg/)** is an expert on group processes and communication. In this session, she will speak about her research on healthy discourse on- and offline, the [microdynamics](https://journals.sagepub.com/doi/full/10.1177/1368430220935989) at play in such discussions, and how it could apply to discussing COVID-19 research. **[David Garcia](https://dgarcia.eu/curriculum-vitae/)** is an expert in computational social science and collective emotions in online spaces. He leads a research group on emotional well-being in the digital society at the [Complexity Science Hub Vienna](https://www.csh.ac.at/complexity-science/). **[Robert Thibault](https://www.robert-thibault.com/)** is a Research Associate at the [University of Bristol](http://www.bris.ac.uk/expsych/people/robert-t-thibault/index.html). He studies how to increase the reliability and efficiency of scientific research. He is an expert in promoting evidence-based decision making and encouraging the public uptake of science. **[Darren Dahly](http://research.ucc.ie/profiles/C010/ddahly)** is an epidemiologist and statistician at University College Cork. He is an active discussant of science and research on Twitter and will share his expertise and experience engaging in social discourse about science with the public using social media. _Session chair:_ **[Ulrike Hahn](https://www.psychonomic.org/page/hahn)** is the director of the Centre for Cognition, Computation and Modelling at Birkbeck University of London. She researches the role of perceived source reliability for human beliefs as parts of larger communicative social networks.
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Active SciBeh projects

Here you will see SciBeh's current projects. If you would like to get involved with any of these, please contact the lead SciBeh team member listed, or email contact@scibeh.org and we will put you in touch with the right person. If you have an idea for a project that would benefit from collaboration, do get in touch! We are happy to help you lead a collective intelligence project with us. SciBeh Knowledge Base What's this project about? <span style=background-color:yellow>Here a description of what the knowledge base project is currently doing What can I get involved in? We welcome volunteers interested in: <span style=background-color:yellow>Add here</span>

3/28/2023
Vaccines concept map

Branching out Using current outline We need define node attributes on a separate line, I think. Ahh yes that cleans it up! I'm trying to see if vaccines at the top or vaccines at the centre looks better as a hierarchy. strict graph ip_map { "History"[URL = "https://scibeh.org"]

2/20/2023
Using the SciBeh Hypothes.is Knowledge Base

Video guide to SciBeh knowledge base You can watch the video below for a quick visual guide to using SciBeh's hypothes.is knowledge base. The video covers all the content covered below. About hypothes.is and the SciBeh knowledge base SciBeh maintains an eclectic knowledge base. Here you can find a wide range of items ranging from tweets, newspaper and blog articles, reports to preprints and peer-reviewed articles, all on the topic of behavioural science and responding to COVID-19. We use the tool hypothes.is to annotate each item in the knowledge base. This means that the curated items are tagged with key words, dates, and links to where the item has been referenced on the Internet. How the tool works SciBeh collects input from different sources: discussions on Twitter, Reddit, links sent to us by contributors. Our team of volunteers annotate all of these links---each volunteer annotates 100s each week!---using hypothes.is. When an item is annotated, it gets added to SciBeh's hypothes.is collection. That's the knowledge base you can search for COVID-19-related research and discussion. You can read more about the process of curating items for the knowledge here.

9/16/2022
manifesto documentation

Our process, in brief, has been: Workshop was held with notes taken by assistants. [I’m trying to find this---the SciBeh notion page got upgraded and so it’s moved!] We invited attendees to sign up as authors or CLAs, with the commitments laid out (specifically: minimally a paragraph of writing for authors) Three different structures proposed (Ulrike, Miso, Dawn). Miso + Dawn independently reviewed the workshop notes and highlighted relevant points. This is all the stuff in the initial outline after the << NEW STRUCTURE AFTER VOTING ENDS HERE >> line on the g-doc: https://docs.google.com/document/d/1xbWN9BwfKz4bzRKt0KHc9GaFjOUsPqmh/edit CLAs had a meeting to discuss structure, based on this proposal after people had commented as a springboard for discussion: • Establishing the problems that require CI as a solution o Current platforms/channels & limitations o External forces (“landscape” of SciComm and actors involved)

6/24/2022
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