WEB DATA OPP workshop, 18-19 March 2024
WEB DATA OPP workshop, 18-19 March 2024
Call for Abstracts: WEB DATA OPP Workshop March 18-19, 2024, Barcelona
We are pleased to announce that the ERC-funded WEB DATA OPP project, which investigates how new measurement opportunities linked mainly to the growing presence of smartphones could complement or replace conventional survey data in order to get better or new insights, is organising a workshop.
Keynote: We are also thrilled to announce that Mick Couper will deliver the keynote speech. Prof. Mick Couper (University of Michigan) is one of the leading experts in web survey methodology, having authored several books and a multitude of influential scientific papers in this field. He will discuss the challenges of using new types of data beyond conventional survey answers.
Event Details
- Date: March 18th and 19th, 2024.
- Location: RECSM-Universitat Pompeu Fabra (UPF), Ciutadella Campus, Ramon Trias Fargas, 25-27, 08005 Barcelona, Spain.
Workshop Focus
The expansion of the Internet and the development of a range of new active and passive measurement tools, particularly on mobile devices, present exciting opportunities for survey researchers, such as visual or geolocation data capture. Using these new measurement opportunities could reduce respondent burden, improve data quality, and extend measurement into new domains, allowing to answer questions that could not be answered so far and to improve the decisions of key actors.
However, while many people speak about these ideas, little research has implemented such possibilities so far. Besides, researchers interested in using such data face a range of key issues, including technical and ethical ones, and very little is known about how to best deal with all these challenges.
Thus, the primary objective of this workshop is to engage in fruitful discussions surrounding these challenges presented by the integration of new data types within the context of web surveys.
We are particularly interested in the following types of data:
- Visual Data: Exploring the incorporation of screenshots, photos, or videos as potential ways to provide responses in web surveys.
- Voice Data: Examining the use of dictation or voice recording functions for survey responses.
- Digital Traces Data: Leveraging digital traces data, especially those collected through meters, to complement or replace conventional survey questions.
- In-the-Moment Surveys: Investigating the possibilities of conducting surveys triggered by passive data, particularly metered data or geolocation information, shortly after the detection of relevant events.
Presentation Emphasis
Participants should center their presentations on the problems encountered when designing surveys or experiments including these innovative data types, rather than focusing on research outcomes. In line with this, we welcome works in progress and presentations about studies that have not yet been fielded, as long as they offer insights into the diverse problems researchers face when using new data types.
Active Participation
To ensure a productive workshop, all participants should actively engage by providing constructive feedback on the work presented by others.
Registration and Funding
- Participation in the workshop is free of charge.
- For participants who need financial assistance to cover travel costs, funding opportunities are available upon request.
Submission Guidelines
To participate in the workshop, please send the following information:
- Submit your presentation title, abstract (maximum 300 words), and a brief presenter biography (maximum 200 words) by October 22th at [email protected].
- In your email, specify whether you can cover your travel expenses or if you would require funding. In case of requiring fundings, please provide an estimate of how much you would need.
Notification of Acceptance
We will notify you of the acceptance of your abstract within two weeks after the abstract submission deadline.
We look forward to your contributions and stimulating discussions at the WEB DATA OPP workshop. For inquiries and abstract submissions, please contact the project’s team at [email protected].