QuAnGIS application is at a prototype stage! A video of the first demonstration of the prototype is available here.

Simon is invited to give a talk on the 3rd of May 2022 at 16:15 at the University Bayreuth (Geospatial Big Data and Societal Transformations lecture series): https://www.geographie.uni-bayreuth.de/de/Veranstaltungen/GIB-Lecture-Series/index.html The talk is on “Valid statistics with amounts in geographic information” (will be streamed live).

Special Issue on  geographic artificial intelligence (geoAI) (KI – German Journal of Artificial Intelligence) Special guest editors (please contact us when planning to submit): Simon Scheider (s.scheider@uu.nl), Zena Wood (Z.M.Wood2@exeter.ac.uk), Kai-Florian Richter (kai-florian.richter@umu.se), Researchers in Artificial Intelligence (AI) and Geography have been developing various points of contact in the past, with many possibilities of mutual benefit…

On the 28th of September 2021, Simon gave a keynote (video recording) about QuAnGIS kicking off the 11th international conference on geographic information science (GIScience 2021). The talk gives an overview of the particular challenges of question-answering (QA) with GIS in the context of Geography and the approaches taken so far in our project.  

Call for study participants

We cordially invite you to participate in a GIS online study.   This study is part of a research project named “Question-based analysis of Geographic Information with semantic queries (QuAnGIS)”. The project is funded by the European Research Commission (ERC) and situated at the Department of Human Geography and Spatial Planning, Utrecht University. It aims…

Niels Steenbergen is a new scientific developer in the QuAnGIS project. He has joined the research team this month. He will be in charge of developing the QA system.

Eric Top is a new PhD student in the QuAnGIS project team. He officially joined the research team this month. Congratulations!

MSc thesis topics are available for students here

*********************************************** HOURS PER WEEK: 38 to 40 FACULTY: Faculty of Geosciences DEPARTMENT: GEO / Dept SGPL APPLICATION DEADLINE: 16 February 2020 *********************************************** JOB DESCRIPTION In the age of big data, geographic information has become a central means for data scientists of various disciplines to embed their analysis into a spatio-temporal context, from human mobility patterns…