Topic outline
Block 1 - Welcome and introduction
09:30, Monday, 22nd Feb. - Welcome - Introduction roundtable
11:30, Monday, 22nd Feb. - Introduction to the topic and the students' teamsProfessor Christina Hansen studied educational sciences and psychology at the University of Vienna. Since 1 April, 2020, she holds the position of the Vice President for Studies and Teaching at the University of Passau. As from 1 August, 2020, Prof. Hansen has taken over her role as Vice President for International Affairs.
Block 2 - When Big Data meets AI
14:00, Monday, 22nd February - When Big Data meets AI
Since 2017, Michael holds the Chair of Data Science at the University of Passau, following a Professorship for Media Computer Science since 2012 (also at University of Passau). Before, he was Scientific Director of the Know-Center Graz (since 2010) and assistant professer at the Knowledge Technology lnstitute of Graz University of Technology (since 2008). ln 2011, he had the pleasure to visit Mendeley Ltd as a Marie Curie Research Fellow working on machine learning and information retrieval in academic knowledge bases. Research fields are in applied machine learning, data science and information retrieval and NLP.
Since 2011, Pierre‐Edouard is associate professor at INSA Lyon Computer Science & Information Technologies (CS&IT) department. After his MsC; he obtained in 2010 a PhD Degree in Computer Science, in the field of digital humanities. His research addresses topics in the fields of machine learning and soft computing techniques applied to big data analytics (e.g. anomaly detection, crash prediction, traffic forecasting...), semantic web search and document engineering.
Recording of Block 2 - When Big Data meets AI
Block 3 - Scalable tools for using AI for Big Data
09:30, Tuesday, 23rd February - Scalable tools for using AI for Big Data
Ernesto Damiani - Scalable tools for using AI for Big Data
Ernesto is Professor at the Computer Science Department at the Università degli Studi di Milano, President of the National Interuniversity Consortium for Informatics, and Director of the Center for Cyber-Physical System within the Khalifa University (Abu Dhabi). Within the Università degli Studi di Milano, he is the leader of the Secure Software Oriented Architectures Research Labs (SESAR).
Block 4 - AI and ethics
11:30, Tuesday, 23rd February - AI and ethics
Philipp Slusalleck - The Ethics of AI
Phlipp Slusalleck is Scientific Director at the German Research Center for Artificial Intelligence (DFKI) and member oft he High Level Experts Group on AI towards the EU institutions. The conference was done in the frame of an experts' group meeting organized by the French German University in Paris in November 2019. Start the video at minute 5´18!
Julien Carme - AI and Ethics
Julien Carme is Lead Data Scientist in Worldline. This presentation was done by Julien Carme in the frame of the experts' group meeting held by the French-German University in November 2019 in Paris.
On 8 April 2019, the High-Level Expert Group on AI presented Ethics Guidelines for Trustworthy Artificial Intelligence. This followed the publication of the guidelines' first draft in December 2018 on which more than 500 comments were received through an open consultation.
Block 5 - Big Data for the European Citizen
16:00, Tuesday, 23rd February - Big Data for the European Citizen
Frédéric is associate professor at the Université Grenoble Alpes. His research area is the theory of programming languages. He works on the problem of non- interference and its implication in confidentiality. He is also the host of a scientific podcast “TIC Talk du Laboratoire LIG”, in which he has discussions about the impact of IT on society and culture.
Recording of Block 5 - Big Data for the European Citizen
Block 6 - ATOS Working 2.0
09:30, Wednesday, 24th February - ATOS – Working 2.0, part 1
11:30, Wednesday, 24th February - ATOS – Working 2.0, part 2
Roland is Managing Director of Atos International Germany GmbH. In 2018, he was appointed Director Performance management in Atos Global HR. In his 41 years professional background, he worked in different assignments for SiemensAG, Germany and Dubai. He joined ATOS in 2011.
Recording of Block 6 - ATOS Working 2.0
Block 7 - AI in a global legal frame
16:00, Wednesday, 24th February - AI in a global legal and policy frame
Claudia has studied law with specialisation in IT- and Media- Law at the University of Passau, her term paper focusing on the legal and ethical implications of autonomous driving. She is currently employed at the Chair for Civil Law, Business Law, Data, Media and Information Law led by Prof. Dr. Hennemann, writing her PhD-thesis about the necessity of "Human Rights for Artificial Intelligence".
Recording of Block 7 - AI in a global legal frame
Block 8 - Working on Data Sets
09:30, Thursday, 25th February - Working on Data Sets
Catalin works as a Researcher at the Research Infrastructure for Product Development, Intelligent Innovative Processes and Services (PRECIS) within the Faculty of Automatic Control and Computers at the University Politehnica of Bucharest (UPB). He has a Ph.D. in Computer Science at UPB, Computers Science Department. His main research interests are: Big Data, Edge Computing, Resource management and Energy efficiency.
Florin is a professor at Politehnica Bucharest, where he received his PhD in Computer Science in 2008. His main research interests are onlarge scale distributed systems concerning scheduling and resource management, adaptive methods, multi-criteria optimization methods, Grid middleware tools and applications development, prediction methods, self-organizing systems, data retrieval and ranking techniques, contextualized services in distributed systems, evaluation using modeling and simulation. Florin was awarded with two Prizes for Excellence from IBM and Oracle, five Best Paper Award and one IBM Faculty Award. He is involved in many national projects and international research projects,is active reviewerof articlesandEditor for several journals, and is IEEE Senior Member and ACM Member. Florin is a senior researcher at the Romanian National Institute for Research and Development in Informatics.
Recording of Block 8 - Working on Data Sets
Block 9 - AI & Big Data business implications
11:30, Thursday, 25th February - AI & Big Data business implications
Amélie is Associate Professor at Université de Lyon. She defended her PhD in Artificial Intelligence in 2008 and is still an active researcher in that field. She is also president and co-founder of Lyon-iS-Ai, a French NPO aiming at making Artificial Intelligence understandable by the general public.
Recording of Block 9 - AI & Big Data business implications
Wrap-up and project presentations
10:00, Friday, 26th February - Wrap-up and project presentations
Recording of Block 10 - Wrap-up and project presentations