The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI) run on July 23-29, 2022. The IJCAI-ECAI joint conference features a broad range of topics in Artificial Intelligence (AI), and includes multiple sessions, workshops, tutorials, and competitions. This year, the conference is held as an in-person event in Vienna, Austria, with a limited online component.

IARAI is excited to present its 2nd workshop on Complex Data Challenges in Earth Observation (CDCEO) as part of IJCAI-ECAI on July 25, 2022 (from 9:00 to17:30 CET). CDCEO focuses on advancing research in Earth observation using cutting-edge AI algorithms. Modern remote sensing technologies allow collecting Earth observation data at an unprecedented scale and resolution. Analysis of these complex heterogeneous multi-source and multi-scale data poses unique challenges for algorithm development. CDCEO brings together researchers in AI, big data, remote sensing, geographic information systems, weather and climate modeling, and other domains.

CDCEO workshop will be opened by Pedram Ghamisi, the leader of the AI4RS group at IARAI and the head of the Machine Learning group at Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Germany. The workshop comprises three sessions; each will begin with an invited talk, followed by selected contributions. This year, IARAI is proud to announce the following line-up of invited speakers: Vipin Kumar from University of Minnesota, USA with a talk titled “Big data in climate and Earth sciences: challenges and opportunities for machine learning”; Nantheera Anantrasirichai from University of Bristol, UK with a talk titled “Machine learning for monitoring ground deformation with InSAR data”; Nebojsa Jojic from Microsoft Research, USA with a talk titled “Geospatial AI at scale”. The workshop program is now available online and the registration is still open.

A special session of the CDCEO workshop (from 11:15 to 12:30 CET) will showcase a summary of the Landslide4Sense competition. Landslide4sense challenges researchers to develop innovative algorithms for landslide detection using multi-sensor satellite imagery. Landslides cause adverse effects over large areas and have become more frequent and intense in recent years due to climate change and human activities. Landslide detection is crucial for immediate response and rescue operations and relies on satellite imagery as the main data source. Landslide4Sense provides a unique resource for training landslide detection algorithms — a benchmark dataset of annotated multi-source satellite images collected from diverse geographical regions. During this session, an overview of the dataset and the competition design will be given, and the winners of the competition will describe their solutions.

Last but not least, IARAI continues its seminar series, where leading AI researchers share their recent findings, with two events this month. Ken Forbus, Walter P. Murphy Professor of Computer Science and Professor of Education at Northwestern University, USA will present an on-site seminar titled “Exploring qualitative representations in natural language semantics” on July 22, 2022 at 11:00 CET. Melanie Mitchell, Davis Professor of Complexity at the Santa Fe Institute, USA will present a virtual seminar titled “Abstraction and analogy are the keys to robust AI” on July 28, 2022 at 17:00 CET. These events are free and open to everyone (registration is required). Please join us!


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