Our group had the honor of presenting five full papers at this year’s International Conference on Information Visualization, focusing on the intersection of Artificial Intelligence and Visual Analytics in decision-making. We started the conference with an opening note on AI and visualization by Ebad Banissi, Kawa Nazemi, and Boris Kovalerchuk.

Following an inspiring keynote by Chaomei Chen, our group presented recent advances in integrating deep learning and large language models to address societal and environmental challenges. The papers we presented included

• 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗩𝗶𝘀𝘂𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: 𝗔𝗻 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗳𝗼𝗿 𝗔𝗻𝗮𝗹𝘆𝘇𝗶𝗻𝗴 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗻𝗶𝗰 𝗛𝗲𝗮𝗹𝘁𝗵 𝗥𝗲𝗰𝗼𝗿𝗱𝘀 – authored by Cristian A. Secco Secco, Lennart B. Sina, and Kawa Nazemi, and presented by Cristian A. Secco Secco

• 𝗤𝘂𝗲𝗿𝘆-𝘁𝗼-𝗩𝗶𝘀: 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗮 𝗕𝗿𝗼𝗮𝗱-𝗰𝗼𝘃𝗲𝗿𝗮𝗴𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 – authored by Uliana Eliseeva, Simon Heiß, and Kawa Nazemi, and presented by Uliana Eliseeva

• 𝗩𝗶𝘀𝘂𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: 𝗔 𝗠𝗼𝗱𝘂𝗹𝗮𝗿 𝗠𝘂𝗹𝘁𝗶-𝗩𝗶𝗲𝘄 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 – authored by Elena Correll, Uliana Eliseeva, and Kawa Nazemi, and presented by Elena Correll

• 𝗩𝗶𝘀𝘂𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: 𝗖𝗹𝗶𝗺𝗮𝘁𝗲 𝗖𝗵𝗮𝗻𝗴𝗲 𝗶𝗻 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 – authored by Vanessa Kokoschka, Cristian A. Secco, and Kawa Nazemi, and presented virtually by Vanessa Kokoschka

• 𝗩𝗶𝘀𝘂𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗠𝗮𝗸𝗶𝗻𝗴 – authored by Kawa Nazemi, Cristian A. Secco, Lennart B. Sina, Uliana Eliseeva, Elena Correll, and Midhad Blazevic, and presented by Kawa Nazemi

The conference was a fantastic experience that provided us with valuable, constructive feedback and engaging questions from our peers. This interaction confirmed the importance and relevance of our work and motivated us to continue pushing the boundaries of our research.

The papers are interim results of the FARMWISE Project EU project funded by the European Commission’s Horizon Europe research and innovation program under grant agreement No. 101135533. All publications reflect the views only of the author, and the European Union is not liable for any use that may be made of the information therein. Furthermore, the presentation of the papers partly funded by hessian.AI.