Stanford Root

Schedule

Stanford Root

Schedule

ESS 227

Decision Science for Environmental Threats (EARTHSYS 227)

UNITS:3-5
GRADING:Letter (ABCD/NP)
LEVEL:Graduate
GER:—

Decision science is the study of how people make decisions. It aims to describe these processes in ways that will help people make better or more well-informed decisions. It is an interdisciplinary field that draws upon psychology, economics, political science, and management, among other disciplines. It is being used in a number of domain areas and for a variety of applications, including managing freshwater resources, designing decision support tools to aid in coastal adaptation to sea-level rise, and creating "nudges" to enhance energy efficiency behaviors. This course covers behavioral theories of probabilistic inference, intuitive prediction, preference, and decision making. Topics include heuristics and biases, risk perceptions and attitudes, strategies for combining different sources of information and dealing with conflicting objectives, and the roles of group and emotional processes in decision making. This course will introduce students to foundational theories of decision science, and will involve applying these theories to understand decisions about environmental threats.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

1 Term
Lecture 1Open
ID: 23025
0 / 60 enrolled
DAYS:Tuesday, Thursday
TIME:1:30 PM – 2:50 PM
LOCATION:Lathrop 016
INSTRUCTOR:
Wong-Parodi, Gabrielle
units

ESS 227: Decision Science for Environmental Threats (EARTHSYS 227)

3-5 units · Letter (ABCD/NP)

Decision science is the study of how people make decisions. It aims to describe these processes in ways that will help people make better or more well-informed decisions. It is an interdisciplinary field that draws upon psychology, economics, political science, and management, among other disciplines. It is being used in a number of domain areas and for a variety of applications, including managing freshwater resources, designing decision support tools to aid in coastal adaptation to sea-level rise, and creating "nudges" to enhance energy efficiency behaviors. This course covers behavioral theories of probabilistic inference, intuitive prediction, preference, and decision making. Topics include heuristics and biases, risk perceptions and attitudes, strategies for combining different sources of information and dealing with conflicting objectives, and the roles of group and emotional processes in decision making. This course will introduce students to foundational theories of decision science, and will involve applying these theories to understand decisions about environmental threats.

Offered in Autumn 2026 at Stanford University.

Autumn 2026 sections

  • Lecture — Tuesday Thursday 1:30 PM – 2:50 PM — Lathrop 016 — Wong-Parodi, Gabrielle (Graduate)

More ESS courses

  • ESS 206: World Food Economy (EARTHSYS 106, EARTHSYS 206, ECON 106, ECON 206, ESS 106, GEP 106, GEP 206)
  • ESS 210: Techniques in Environmental Microbiology
  • ESS 220: Physical Hydrogeology (CEE 260A)
  • ESS 221: Contaminant Hydrogeology and Reactive Transport (CEE 260C)
  • ESS 223: Biosphere-Atmosphere Interactions (EARTHSYS 123A, EARTHSYS 223, ESS 123)
  • ESS 224: Remote Sensing of Hydrology (CEE 260D)
  • ESS 233: Mitigating Climate Change through Soil Management (EARTHSYS 233)
  • ESS 234: Climate Displacement, Migration, and Mobility (CSRE 234, EBS 234, HUMRTS 224)
  • ESS 235: Advanced Concepts in Geographic Information Science (EARTHSYS 145, EARTHSYS 245, URBANST 145)
  • ESS 236: Modeling Human-Environment Systems (ESS 136, GEP 115, GEP 215)
  • ESS 237: Geomorphology: The Mechanics of Earth's Landscapes (CEE 112E, CEE 212E, EARTHSYS 112G, EARTHSYS 212G, EPS 112, EPS 212, ESS 137, GEOPHYS 113, GEOPHYS 213)
  • ESS 239: Data Science for Geoscience (EARTHSYS 240, ENERGY 240, EPS 140, EPS 240)

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