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Schedule

Stanford Root

Schedule

EARTHSYS 227

Decision Science for Environmental Threats (ESS 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: 23039
0 / 12 enrolled
DAYS:Tuesday, Thursday
TIME:1:30 PM – 2:50 PM
LOCATION:Lathrop 016
INSTRUCTOR:
Wong-Parodi, Gabrielle
units

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

  • EARTHSYS 219: Just Transitions Policy Lab (CSRE 155, EARTHSYS 119, URBANST 155)
  • EARTHSYS 220: Environmental Justice in California (EARTHSYS 120, NATIVEAM 120A)
  • EARTHSYS 220A: Climates of Inequality (EARTHSYS 120A)
  • EARTHSYS 223: Biosphere-Atmosphere Interactions (EARTHSYS 123A, ESS 123, ESS 223)
  • EARTHSYS 223E: How Do We Get Out of Here? Global Ecocide (ENGLISH 123, ENGLISH 223, FEMGEN 223E)
  • EARTHSYS 225: Shades of Green: Exploring and Expanding Environmental Justice in Practice (CSRE 125E, EARTHSYS 125, URBANST 125)
  • EARTHSYS 227A: The Sixth Extinction (and the Other Five) (EARTHSYS 127A, EPS 137, EPS 237)
  • EARTHSYS 233: Mitigating Climate Change through Soil Management (ESS 233)
  • EARTHSYS 240: Data Science for Geoscience (ENERGY 240, EPS 140, EPS 240, ESS 239)
  • EARTHSYS 241: Remote Sensing of the Oceans (EARTHSYS 141, ESS 141, ESS 241, GEOPHYS 141)
  • EARTHSYS 242: Remote Sensing of Land (EARTHSYS 142, ESS 162, ESS 262)
  • EARTHSYS 243H: Quantitative Methods for Marine Ecology and Conservation (BIO 143H, BIO 243H, CEE 164H, CEE 264H, EARTHSYS 143H, OCEANS 143H, OCEANS 243H)

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