The European Chapter (EC) and European Student Chapter (ESC) of the Association for Information Science and Technology (ASIS&T), and the ERC-funded research project CAPTURE seek your contributions to a joint in-person and online conference on Information Science Perspectives to Documenting Processes and Practices. The Basics!
Tuesday, 20 June
Wednesday, 21 June
IST 2023 focuses on processes and practices in information science and accepts submissions within information science/studies (broadly construed) covering research (completed or in progress), practical projects or examples, and conceptual work. "Processes and practices" is a theme open to your interpretation, but this gives some ideas about what we have in mind:
We interpret Information Science broadly to include all kinds of information experience and information behaviour, information retrieval, data science, information literacy, information organisation, and ways of knowing. If you are not sure whether your idea fits in with our theme do please email the conference co-chairs (see emails below).
For both presentations and posters, we request an informative, structured abstract (400-750 words including references in APA format, and written in English). You will find our template at https://tinyurl.com/IST23cfp. You must submit via Easychair:. All abstracts will be peer-reviewed by at least two reviewers. All presenters must be registered for the conference (see below. Submissions are due on: 31st March 2023.
If your submissions is accepted, we require you to upload your abstract with a CC-BY 4.0 International License at Zenodo (community: Information Science Trends - ASIS&T European Chapter Series)
You may submit proposals for presentations (presentation of 15 minutes + 5 minutes for questions). Please submit your abstract and choose the submission type "presentation" in the submission form. The conference will be a hybrid event, using Zoom. Multimodal presentations, as well as traditional presentations, are welcome, as long as they fit in the time limit. Please indicate whether you will be attending on site or on Zoom only.
Students may either submit presentation proposals (see above) and/or posters. All posters will be entered in a Best Poster competition. Posters will be judged by the conference committee based on clarity of communication and innovative presentation.
Poster can be presented online or in-person. Students are defined as BA/BSc, MA/MSc, or PhD students within Information Science (including related areas such as Data Science and Information Management). Please submit an informative, structured abstract and choose the submission type "poster" in the submission form. The conference will be a hybrid event, using Zoom. Please indicate whether you will be attending on site or on Zoom only. Presenters of the posters at the conference may use a pdf, a video (playable from a publicly-accessible platform such as Youtube) or a very short slide show. You need to verify your status and name your supervisors/course leader. Attendance
You may attend the conference in-person or online. In-person sessions will be broadcasted for online delegates. All online sessions will be ONLINE only, however, with an opportunity to participate from the conference site. For those attending in-person there will be additional networking events.
Participation is not restricted to those presenting. If you do not want to present your work, you may want to join and listen to the talks.
The fees are: ASIS&T members: no charge (but registration still required). Student non-members: US $10; Other non-members: US $25. Register here (if you are an ASIS&T member, log into the ASIS&T website to enable your discount): https://tinyurl.com/26hjdabp
Registration costs for attending in-person are:
Members: US $200
Non-members: US $225
For more information:We are happy to answer any questions you might have regarding this event. Please send an email to one of the IST conference co-chairs
Dr Sophie Rutter, email@example.com, (EU Chapter chair)
Sheila Webber, firstname.lastname@example.org, (EU Chapter past-chair)
Dr Yuhua Wang, email@example.com, (EU Chapter chair-elect)
Professor Isto Huvila, firstname.lastname@example.org, (CAPTURE Project)
Dr Lisa Andersson, email@example.com, (CAPTURE project, EU Chapter treasurer)
The Information Science Trends (IST) conference series
The event is part of the series on Information Science Trends (IST). The events focus on current research topics, including invited speakers from research and industry. Our first event in Hamburg (April, 2019) focused on the topic Search Engines and Information Retrieval. Our second, online, event focused on Health Information Behaviour (June, 2020), our third on Information Science Research During COVID-19 and Post-Pandemic Opportunities (June 2021), and our fourth on Untold Stories (June 2022); The latter 3 conferences were each awarded the ASIS&T Chapter Event of the Year. Our events provide an opportunity to network and share ideas and interests from the different fields of information science and related disciplines.
The CAPTURE project
CApturing Paradata for documenTing data creation and Use for the REsearch of the future (CAPTURE). We might have enough data about data, but not a good enough understanding of how the data came about. CAPTURE investigates what information about the creation and use of research data (that is, paradata) is needed and how to capture enough of that information to make the data reusable in the future. The wickedness of the problem lies in the practical impossibility of documenting and keeping everything, and the difficulty to determine how to capture just enough.
The empirical focus of CAPTURE is archaeological and cultural heritage data, which stands out by its extreme heterogeneity and rapid accumulation due to the scale of ongoing development-led archaeological fieldwork. Within and beyond this specific context, CAPTURE develops an in-depth understanding of how paradata is being created and used today and elicits methods for capturing paradata. CAPTURE tests new methods in field trials and synthesises the findings in a reference model to inform the capturing of paradata. Enabling data-intensive research using heterogeneous research data stemming from diverse origins.
The project is directed by Professor Isto Huvila. More information about the project at CAPTURE.
This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme grant agreement No 818210.