16 June | AGILE Workshop: Uncertain Geodata: Bias, Missingness & GeoAI

Uncertain Geodata: Bias, Missingness & GeoAI Workshop

Artificial Intelligence methods are now a familiar part of the landscape of GIScience, but it remains vital that researchers deeply understand their datasets. Biases, missing data, and uncertainty are routine characteristics of geospatial data, presenting both opportunities and risks for insight. Understanding and handling these features appropriately is an essential skill for GIS researchers, whether working with GeoAI or more traditional analytic approaches.

New at AGILE this year, the Uncertain Geodata workshop will bring together researchers to address issues of data quality in its broadest sense. We intend to set an agenda for data quality issues in GIScience, gather perspectives from experts and practitioners, and share skills to improve our collective expertise on this timely issue. The programme will feature a panel discussion with leading researchers including Professors Ana Basiri, Chris Brunsdon and Tuuli Toivonen, as well as an opportunity to contribute perspectives to a collaborative commentary on the state of the field. The intention is to seek publication for this commentary after the workshop.

We also invite short contributed talks (5-10 minutes) accompanied by an extended abstract or short paper (800-1500 words). Abstracts falling outside that range will still be considered. Each accepted contribution will be published with a DOI in a collection of the workshop proceedings on Zenodo. We welcome research directly addressing issues of data quality, as well as talks that highlight an interesting or surprising data quality aspect of work with a different primary focus. If your AGILE conference paper encountered a data quirk or challenge that you couldn’t fit into your main talk – this is the venue for it.

Call for abstracts

We particularly welcome talks on topics including (but not limited to):

  • Biased Data and Adjustment/Correction methods
  • Missing Data and Imputation methods
  • Data Quality in GeoAI Training Data
  • Uncertainty and Communicating Uncertainty
  • Propagation of Data Deficiencies into Applications and Outputs
  • Reproducibility, Generalisability, and Open Science
  • Ethics of Using Flawed Data and/or Imputation
  • Further Issues in Data Quality

Submission details

Submit your abstract via EasyChair: https://easychair.org/conferences/?conf=ugwagile26

Extended abstracts should be typically 800-1500 words, but submissions outside this range may be considered. Submissions should be in pdf format, with title and author name(s) included. Where a submission has multiple authors, the (likely) presenting author should be the corresponding author, and this should be indicated on the extended abstract. The review process will assess submissions in terms of their potential as the basis for a compelling short talk, relevance to the workshop themes, and overall quality.

Accepted publications will be included in the workshop proceedings, which will be published with a DOI on Zenodo.

Note that the submission portal defaults to three authors, but submissions with fewer authors will be accepted – the additional author fields can be left blank.

Deadline: 30th April 2026.

Important Dates

  • Submission deadline: 30th April 2026
  • Early bird AGILE registration: 30th April 2026
  • Notification to authors: 6th May 2026
  • Final deadline AGILE registration: 8th June 1999
  • Workshop: 16th June 2026

Workshop Programme (Provisional)

Introduction – Dr James Ackland

Open Panel – featuring Prof. Ana Basiri, Prof. Chris Brunsdon, Prof. Tuuli Toivonen, further panellists tbc.

Coffee break

Contributed Short Talks – see Call for Abstracts

Collaborative Working Groups – opportunity to contribute to summary and comment article

Closing Remarks – Dr James Ackland

Registration

To register for the workshop, go to https://pretix.eu/agile/2026/ and add either a workshop-only ticket, or the "workshop with conference" option if you are also planning to attend the main AGILE conference. You do not need to be contributing a talk to participate in the workshop - all are welcome!

Enquiries

For general enquiries, contact James.Ackland@glasgow.ac.uk or Makenna.Hopwood@Glasgow.ac.uk