Progam: Keynotes

Keynotes

ER 2020 features the following outstanding keynote speakers:

Eric Yu

Conceptual Modeling in the Face of Complex Social Realities

Eric Yu, University of Toronto, Canada

It has long been recognized that the effectiveness and viability of information technology systems are not determined by technology alone. The first part of this talk will retrace the development of the i* framework – an attempt to use Conceptual Modeling to bridge a social conception of the world and the design of information systems. i* adopts a rather simplistic view of the social world. It consists of actors who depend on each other to achieve what they want. Actors have freedom to choose among alternative means for achieving their goals, but their choices are constrained by mutual dependency relationships among actors. As technology options present themselves, actors seek to reconfigure relationships in ways that would advance their strategic interests.

By applying i* modeling, one can explore the potential impacts of various system designs on stakeholders, in search of design options that would better meet the desires and aspirations of all concerned. i*-inspired social modeling has seen applications in business process analysis, requirements engineering, software development methodologies, information security and privacy, and other areas. Many researchers have incorporated social modeling into their modeling methods and techniques, and have enhanced and extended the original proposal in different directions. A version of i* is part of an international standard.

In the second part of this talk, I will suggest some open research challenges for Conceptual Modeling. Today, interactions between technology and social realities have become ever more intricate and intense. Data-driven applications are complementing and sometimes displacing human knowledge work. Software systems are sensing and manipulating human emotions – on social media platforms, in gamified applications, and in affective computing. Personal and public health, environmental responses, and citizen participation are all mediated through data and information systems. As systems become embroiled in these complex social and technological realities, the simplified ontology of i* may seem woefully inadequate.

Conceptual Modeling to date has served as the core foundation for building data-based applications. Can Conceptual Modeling also provide the foundation for conceptualizing and designing socially complex applications?

Biography:

Eric Yu is Professor at the Faculty of Information at the University of Toronto. His research interests include conceptual modeling, software requirements engineering, information systems engineering, knowledge management, and enterprise modeling. In his PhD work, he developed the i* framework for social modeling. The work has inspired hundreds of research papers, dozens of PhD theses, and many software tools. A version of i* is part of an international standard. He is co-editor of the MIT Press book series on Information Systems, and is on the editorial boards of the Requirements Engineering journal, IET Software, and the Journal on Data Semantics. He was Program Co- Chair for ER 2008 and 2014, and for CAiSE 2020. He was recipient of the 2019 Peter P. Chen Award.

Thomas Ludwig

Modelling the Future Climate – Concepts and Challenges

Thomas Ludwig, German Climate Computing Center (DKRZ), Germany

Climate modelling and projecting future climate scenarios is a complex task that requires computers of highest performance. The models are represented by computer programs that often comprise several hundreds of thousands of lines. Their execution produces huge volumes of data that need to be analyzed and visualized. The existing ecosystem of computational climate modelling is now confronted with new challenges: machine learning incorporates new algorithmic methods, the end of Moore´s Law limits the performance of future supercomputers and the ever rising power consumption of the systems sets new limits to knowledge gaining. The presentation will give an overview over the development of computational climate modelling and how the discipline will tackle upcoming challenges.

Biography:

Prof. Dr. Thomas Ludwig studied informatics at Universität Erlangen-Nürnberg, Germany. He received his PhD and also habilitation degree from Technische Universität München. From 2001 to 2009 he had a professor position at the Universität Heidelberg. Since 2009 he is professor for scientific computing at the Universität Hamburg. He is also the director of the German Climate Computing Center (DKRZ). His research focus is on high performance computing and in particular on storage system.

Matthias Jarke

Conceptual Modeling Foundations for Alliance-Driven Data Ecosystems

Matthias Jarke, RWTH Aachen University and Fraunhofer FIT Institute for Applied Information Technology, Germany

Alliance-driven data ecosystems — structured communities of interest among industrial organizations — have recently been proposed as an alternative to the large-scale keystone player driven ecosystems. Combining the advantages of efficient quality data sharing with aspects of confidentiality preservation, as well as sustainably fair sharing of the created added value poses very significant challenges from highly diverse perspectives. In this keynote talk, we shall discuss how recent approaches to conceptual modeling and conceptual analytics might help to better understand and even surmount these novel challenges.

Biography:

Matthias Jarke is Professor of Databases and Information Systems at RWTH Aachen University and Director of the Fraunhofer FIT Institute for Applied Information Technology. After master degrees in Computer Science and Business Administration, he received a Doctorate in Business Informatics from the University of Hamburg, and served on the faculties of the Stern School of Business at New York University and at the University of Passau prior to joining RWTH Aachen in 1991. Previous positions include President of the GI German Informatics Society and member of the Fraunhofer Presidential Board. In his research, he investigates conceptual modeling and metadata management in business, engineering, and culture. He is currently co-speaker of the DFG-funded German national Excellence Cluster “Internet of Production”, and initiator of the Fraunhofer Center for Digital Energy in Aachen. He has served on numerous Editorial Boards, including Chief Editor of Information Systems, and as Program Chair of conferences such as CAiSE, EDBT, ER, SSDBM, and VLDB. He is a member of the acatech National Academy of Engineering and Sciences, a Fellow of the ACM and the GI, and recipient of the Peter Chen Award 2020.