Environmental Management, innovation and Ethics

The course aims at giving the students an understanding of the basic principles and tools of environmental management and regulation, with emphasis on innovation, uncertainty, regulation and the ethical challenges associated with environmental dilemmas and foresight. The students own development and use of AI agents is a fundamental element throughout the course. The approach is interdisciplinary and is intended to broaden the students' vision of society's environmental challenges, such as the increased use of technologies, resource extraction, mitigation and adaptation to climate change.

A student who has met the objectives of the course will be able to: Describe several basic ethical theories and applied environmental ethical principles; Discuss different approaches to environmental management, regulation and decision support; Differentiate between the ethical and environmental ethical theories and management approaches; Reflect on environmental issues from the perspective of different ethical theories; Demonstrate how regulation can be designed so that both helps protect the environment as well as sparks innovation; Debate the social and ethical implications of different regulatory measures; Analyse uncertainties and risks in complex environmental issues; Formulate a regulation and policy strategy for coping with the environmental issues; Write a political brief on an environmental issue with relevant facts, analysis of problems and solutions and policy recommendations; The development of AI agent(s) capable of executing various tasks related to the course assignment, and demonstrating the ability to critically reflect upon the results.

The evaluation is based on a policy brief with recommendations which counts 60% of the overall grade and an on-site multiple-choice quiz without aids which counts 40% of the overall grade

As many environmental courses as possible, including environmental management courses.

Lectures, exercises, policy brief and recommendations developed in groups with the use of AI agents