Announcing our Latest New Collaboration, with Tsinghua University China
On 18 October 2017, Amsterdam Data Science signed a Memorandum of Understanding (MoU) with the Department of Computer Science and Technology, Tsinghua University, China. Through this five-year agreement, the two parties will collaborate on research (e.g. joint project proposals), education and training (e.g. staff and student exchanges). Joint collaboration areas will encompass, amongst others; Computational Science, Database Architectures, Information Retrieval, Knowledge Representation, Machine Learning, Machine Translation, Natural Language Processing, and Urban Analytics.
The MoU signing was part of a two-day workshop where six Tsinghua researchers visited Amsterdam Data Science researchers. This was the second such visit, the first was held in June 2017 in Tsinghua. Amsterdam Data Science are excited about the potential opportunities this new collaboration will generate.
The visit involved the following researchers:
Tsinghua University, Department of Computer Science and Technology: Kang Chen, Juanzi Li, Yang Liu, Yiqun Liu, Zhiyuan Liu, and Jie Tang.
Amsterdam Data Science: Zeynep Akata (UvA), Peter Boncz (CWI), Peter Grunwald (CWI), Lynda Hardman (CWI), Frank van Harmelen (VU), Alfons Hoekstra (UvA), Zhisheng Huang (VU), Alexandru Iosup (VU), Mike Lees (UvA), Christof Monz (UvA), Rick Quax (UvA), Maarten de Rijke (UvA), Annette ten Teije (VU), Marcel Worring (UvA).
The ADS Thesis Awards aim to promote excellence in Data Science and AI from students at BSc and Master level. The Awards are open to students from all Amsterdam-based knowledge institutes.
On the 22nd of September LAB42 will host its Grand Opening from 15:00 onwards. LAB42 is an international hub for developing talent in the fields of digital innovation and AI. The building is the result of a partnership between the UvA, the municipality of Amsterdam and the business sector.
The UvA Data Science Centre, part of the University Library, is pleased to host its second yearly Data Science Day on the 13th of October 2022.