Research since 2014, and the Berlin Center for Machine Learning (BZML). Working on the basis of the internationally renowned output of BD and ML research performed in Berlin, BIFOLD has established itself as an international “lighthouse” with global reach and a reputation for producing state-of-the-art scientific and technological break- throughs. It also makes a key contribution to the industrial application of its findings and supports and promotes the sustainable industrial development of the region. BIFOLD addresses three areas of focus: • Scalable data management (Big Data) and machine learning, e.g. learning and inference procedures, data mining, data management and data security • The management of data science processes, e.g. information integration, Big Data management, Big Data engineering, information visualization, visual analytics and benchmarking • New AI architectures and systems, e.g. data analysis infrastructures and informa- tion marketplaces, highly scalable systems for the Internet of things and industry 4.0, open source and open data • Responsible data management and explainable AI, e.g. comprehensible ML, com- puter security, securing data privacy and data security and the associated techni- cal principles of responsible, ethical data management • The application of AI in the natural sciences (medicine, physics, chemistry etc.) and humanities, innovative ML procedures, deep learning architectures and scalable BD methods with the potential for genuinely new scientific insights Having established a level and form of integration of big data and ML research unique in Europe, BIFOLD places a clear focus on research into technologies which seek to increase trust in the use of BD and ML methods. The institute also seeks to increase the number of people able to set up and use AI applications and ensure the efficient and resource-saving use of large quantities of data and ML models. Although BIFOLD is dedicated to performing basic research, its results are implement- ed directly into specific applications and will make an important contribution to the innovation and competitiveness of Berlin’s industry and academia. The systems and processes generated by BIFOLD function as interdisciplinary basic innovations and generate added value in a range of academic and industrial applications. BIFOLD will also train the AI experts (ML developers, data engineers and data scien- tists) urgently required in all innovation areas. BIFOLD attracts a range of internation- al top talent, who enrich Berlin’s academic ecosystem. The technology and software artifacts produced by the basic research conducted at BIFOLD flow directly into start- ups or the activities of the non-university partner facilities via the application-oriented research conducted in the center. Einstein Center Digital Future (ECDF) Strategic cooperation with partner universities and non-university research institu- tions with the aim of strengthening research and teaching and the establishment of new research fields have attained increasing significance at TU Berlin in recent years. The establishment of the Einstein Center Digital Future (ECDF) represents an impor- tant milestone in TU Berlin’s long-term strategy within its research field of digitaliza- tion. Since its ceremonial opening on 3 April 2017, this unique alliance project led by TU Berlin has played host to top-quality research conducted by international scholars active in its area of core interest Digital Infrastructure, Methods, and Algorithms and the innovation areas Digital Health, Digital Society and Digital Industry and Services. The ECDF is the result of a major public-private partnership (PPP) with partners from 20 Technische Universität Berlin