Keynote speakers

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Prof. Dr. Dr. habil. Dmitry Ivanov
Professor of Supply Chain and Operations Management
Department of Business and Economics
Berlin School of Economics and Law, Berlin, Germany

Ripple Effect and Resilience in Supply Chains: Lessons From and Thinking Beyond the COVID-19 Pandemic

In this talk, we discuss fundamental theoretical constructs and practical applications to engineer and manage disruption-resistant supply chain networks to mitigate the ripple effects in the context of the COVID-19 pandemic. We collate and review the existing knowledge in modelling the ripple effect in supply chains at different pandemic stages. Subsequently, we debate about extensions of the existing theories and practices of supply chain resilience towards viability. We present the Viable Supply Chain model and associated concepts of structure dynamics control, intertwined supply networks, and reconfigurable supply chains. Finally, we discuss the role of digital supply chain twins and platforms in managing resilience and viability at the times of super disruptions, and project the lessons learned during the COVID-19 pandemic on possible future stressors to supply chains. 


Prof. Dr. Dr. habil. Dmitry Ivanov is professor for Supply Chain and Operations Management, deputy director and executive board member of Institute for Logistics (IfL) at Berlin School of Economics and Law (Germany). His main research interests and results span the ripple effect in supply chains, supply chain resilience and viability, smart manufacturing and Industry 4.0, and digital supply chain twins. He gained Dr., Dr. Sc., and Dr. habil. degrees and won several research excellence awards. His research record counts around 360 publications, with more than 100 papers in prestigious academic journals and the leading books “Global Supply Chain and Operations Management” (three editions), “Introduction to Supply Chain Resilience”, „Structural Dynamics and Resilience in Supply Chain Risk Management“, “Scheduling in Industry 4.0 and Cloud Manufacturing” and „Handbook of Ripple Effects in the Supply Chain“. He serves to international research community by leading working groups, tracks and sessions on the Supply Chain Resilience and Digital Supply Chain. He delivered invited plenary, keynote and panel talks at the conferences of INFORMS, IFPR, IFIP, IFAC, DSI and POM. He co-edits International Journal of Integrated Supply Management and is an associate editor of the International Journal of Production Research, International Transactions in Operational Research, and International Journal of Systems Science, and guest editor in many international journals. He is Chairman of IFAC TC 5.2 “Manufacturing Modelling for Management and Control” and has been General Conference Chair of 9th IFAC MIM 2019 conference as well as IPC and advisory board member of over 60 international conferences.


David Gruson, PhD
Professor at Health Chair of Sciences Po Paris

Founder of Ethik-IA

President of Collège numérique of the French Society of Digital Health (SFSD)

Artificial Intelligence and ethics in Digital Health

The deployment of artificial intelligence in healthcare represents a major potential for progress in the continuous improvement of the quality of patient care. Nevertheless, a specific approach must be implemented to ensure the ethical regulation of this deployment of algorithmic medicine. This is the meaning of the principle of a human guarantee for AI, which will allow - in particular in the form of human guarantee colleges - to ensure the ongoing management of Machine Learning algorithms. The French Society for Digital Health (SFSD) is strongly committed to these new themes to ensure the dissemination of AI in health in a responsible and ethical framework.


Former student of the Ecole Nationale d'Administration (ENA) and the Ecole des Hautes Etudes en Santé Publique, David GRUSON is the Director of the Jouve Group's Health Program, specialized in digital transformation. He has held several positions of responsibility in the fields of public policy and health. In particular, he was advisor to the Prime Minister in charge of health and autonomy (2010-2012) and Director General of the University Hospital Center of La Réunion (2012-2016). He is a Professor at the Health Chair of Sciences Po Paris. He is the founder of Ethik-IA whose proposals on AI in health inspired the artificial intelligence part of the revision of the bioethics law that has just been voted in Parliament. He leads the artificial intelligence approach carried by the French Society of Digital Health (SFSD).


He is the author of S.A.R.R.A.: une Intelligence Artificielle, the first bioethical thriller on AI in health published in June 2018 by Editions Beta Publisher and whose sequel S.A.R.R.A.: une conscience artificielle has just been published. He also wrote La Machine, le Médecin et Moi, a summary book on the development of AI in health published in November 2018 by Editions de l'Observatoire and is co-author of La Révolution du pilotage des données de santé published in May 2019 by Editions Les Etudes Hospitalières.

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Michelle Kelly-Irving, PhD
Social epidemiologist, Inserm

Director - EQUITY Team, Epidemiology and Public Health Research, CERPOP (UMR1295)

Director - IFERISS, Interdisciplinary Federal Institute for Research on Health & Society

University of Toulouse, France

Social issues and Big Data

Despite the apparent availability of and access to vast amounts of data, the Covid crisis19 highlighted, among other things, that we still do not have access to the data we need, particularly in public health, and especially if we are interested in social inequalities in health in France.


Michelle Kelly-Irving is an Inserm research director in social epidemiology. She works on the construction of health inequalities over the life course through processes ranging from social to biological. She is based at the Center for Epidemiology and Research on Population Health (CERPOP - UMR1295 Inserm), University of Toulouse, France, where she is director of the EQUITY research team, and of an interdisciplinary research federation (Iferiss).