Keynote Speakers

John D. Lee

Title: Designing for People: Enigmatic, Neglected, and Emergent Requirements

Abstract: Identifying requirements when designing for people presents unique challenges. The relative ease of identifying many human-related requirements masks the depth of these challenges These deep challenges are compounded by the increasingly pervasive and powerful applications of machine learning that even include human-AI teaming. The individual and societal success of these applications depend on capturing three types of human-centered requirements: enigmatic, neglected, and emergent.

Bio: Dr. John D. Lee is the Emerson Electric Professor at the University of Wisconsin-Madison. He investigates the issues of human-automation interaction, particularly trust in automation. John has investigated trust in domains that include UAVs, maritime operations, highly automated vehicles, and deep space exploration. He helped to edit the Handbook of Cognitive Engineering, the APA Handbook of Human Systems Integration, and is also a co-author of a popular textbook: Designing for People: An introduction to human factors engineering. Additional information can be found at:

Didar Zowghi

Title: Requirements Engineering Education and Training: Experiences from 20+ years in the Trenches

Abstract: Many Requirements Engineering academics have encountered challenges in their design and delivery of high quality RE courses. Commercial RE education providers in industry face similar challenge in RE training. It has long been recognised that in RE education and training (REET) we need to combine the human centred tasks of stakeholder engagement, with the technical tasks to model, analyse, specify and validate requirements. Unfortunately, many of these skills cannot be learned by just listening to a lecture, or by performing simple exercises on a computer. The classroom environments have also changed dramatically in recent years as an increasing number of universities offer online courses.
In this keynote, Dr Zowghi will share some experiences from her 20+ years journey of designing and teaching requirements engineering courses and her extensive REET collaborations with amazing colleagues.
The RE community has developed extensive curriculum plans and has identified skill sets that requirements engineers need to develop. We have also engaged in meaningful discourses about how requirements principles and practices can best be taught and learned in several editions of REET workshop and panel discussions at the RE conference. Dr Zowghi will also present a challenge to the RE community on how to develop innovative and engaging activities to teach the future generation of requirements engineers.

Bio: Dr Didar Zowghi is Professor of Software Engineering and currently works for CSIRO's Data61 as Senior Principal Research Scientist. She leads the "Software Engineering for Responsible AI" and "Diversity and Inclusion in AI" at Data61. She has previously held many leadership positions at the University of Technology Sydney (UTS): Deputy Dean of Graduate Research School, Director of university research centre for Human-Centred Technology Design, Director of Women in Engineering and Information Technology, Head of Department of Software Engineering, and Associate Dean Research. Before joining academia, she worked in software industry in the UK and Australia as a programmer, software engineer, analyst, consultant, and project manager. Didar has been actively involved in the RE community for many many years.

Victor Galaz Rodriguez

Title: To be advised

Bio: Victor Galaz is Associate Professor in political science, deputy director of the Stockholm Resilience Centre at Stockholm University, and programme director of the Beijer Institute’s Governance, Technology and Complexity programme. His research explores the political challenges created by rapid climate and environmental change, including globally networked risks, and the sustainability implications of novel technologies. His work about societal challenges created by technological change includes governance dimensions of geo-engineering, early warning systems of epidemic outbreaks, uses of social media to detect ecological change, online mis- and disinformation on environmental issues, and sustainability risks embedded in early applications of artificial intelligence. He is currently working on the book “Dark Machines” (for Routledge) about the impacts of artificial intelligence, digitalization and automation for the Biosphere. Additional information about Victor Galaz can be found at: