On April 27, 2021, the German Federal Ministry of Education and Research (BMBF) and the German Informatics Society (GI) will bring together selected AI talents up to the age of 35 with renowned AI experts from all over the world at the AI Camp 2021 in Berlin. Whether universities, startups or think tanks: young AI researchers from alldisciplines and backgrounds will meet in interactive fishbowl discussions, lecture sessions or hands-on workshops and address transdisciplinary future issues from the fields of society, sustainability, production, science, health, mobility, art and media. Starting as early as January, the hybrid on- and offline event will offer participants the opportunity to actively participate in the program design and to network on a topic-by-topic basis in virtual workshop and discussion formats. Artificial intelligence is not only the subject of a wide variety of disciplines and research areas, it is also changing research itself. Already, applications of image and text recognition or data mining are equipping researchers with new tools. These can visualize and analyze correlations even in large and complex data sets. But AI research is still in its infancy in many areas. How will scientists of the future conduct research with the help of AI technologies? How will AI technologies change established methods of gaining knowledge? And what conditions do researchers need in order to be able to use these technologies efficiently and safely? The “Science” track will focus on the role of AI systems for the science of the future.

Dana Kube will participate in workshops on “Feminist Approaches in Information Science” for EduTec Science. She and other scientists will take as a starting point an intersectional feminist view on information and data science, informed by the idea that information and data can form and reinforce systems of power, which lead to inequalities and marginalization of communities.

Daniele DiMitri will participate as an AI newcomer 2021 nominee and present his research focus:
How can we best interface artificial intelligence applications with humans to ultimately support human learning, support their goal achievement and boost human productivity?