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Boundaries of Humanity: Humans, Animals, and Machines

Johns Hopkins Medical Institute

A lecture by Prof. William Hurlbut (Stanford University Medical Center)

Friday, May 3rd

12:00 PM

Location TBD

This lecture is free and open to the public.

About the Speaker:

William B. Hurlbut is a physician and Adjunct Professor in the Department of Neurobiology at Stanford University Medical Center. After receiving his undergraduate and medical training at Stanford, he completed postdoctoral studies in theology and medical ethics, studying with Robert Hamerton-Kelly, the Dean of the Chapel at Stanford, and subsequently with the Rev. Louis Bouyer of the Institut Catholique de Paris.

His primary areas of interest involve the ethical issues associated with advancing biomedical technology, the biological basis of moral awareness, and studies in the integration of theology and philosophy of biology. He was instrumental in establishing the first course in biomedical ethics at Stanford Medical Center and subsequently taught bioethics to over six thousand Stanford undergraduate students in the Program in Human Biology.

Dr. Hurlbut is the author of numerous publications on science and ethics including the co-edited volume Altruism and Altruistic Love: Science, Philosophy, and Religion in Dialogue (2002, Oxford University Press), and “Science, Religion and the Human Spirit” in the Oxford Handbook of Science and Religion. He has organized and co-chaired three multi-year interdisciplinary faculty projects at Stanford University, “Becoming Human: The Evolutionary Origins of Spiritual, Religious and Moral Awareness,” “Brain Mind and Emergence,” and the ongoing “The Boundaries of Humanity: Human, Animals, and Machines in the Age of Biotechnology.” In addition, he was Co-leader, together with U.C. Berkeley professor Jennifer Doudna of “The challenge and opportunity of gene editing: a project for reflection, deliberation and education.”

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May 2

Theistic Evolution: A Contemporary Thomistic Perspective

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May 7

The Church and Modern Science: Understanding and Correcting Models of Conflict