printer friendly pageEARTHSYS 153: Solving Social Problems with Data (COMM 140X, DATASCI 154, ECON 163, MS&E 134, POLISCI 154, PUBLPOL 155, SOC 127)
Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Provides a foundational skill set for solving social problems with data including quantitative analysis, modeling approaches from the social sciences and engineering, and coding skills for working directly with big data. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Lectures will introduce students to the methods of data science and social science and apply these frameworks to critical 21st century challenges, including education & inequality, political polarization, and health equity & algorithmic design in the fall quarter, and social media, climate change, and school choice & segregation in the spring quarter. In-class exercises and problem sets will provide students with the opportunity to use
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Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Provides a foundational skill set for solving social problems with data including quantitative analysis, modeling approaches from the social sciences and engineering, and coding skills for working directly with big data. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Lectures will introduce students to the methods of data science and social science and apply these frameworks to critical 21st century challenges, including education & inequality, political polarization, and health equity & algorithmic design in the fall quarter, and social media, climate change, and school choice & segregation in the spring quarter. In-class exercises and problem sets will provide students with the opportunity to use real-world datasets to discover meaningful insights for policymakers and communities. This course is the required gateway course for the new major in Data Science & Social Systems. Preference given to Data Science & Social Systems B.A. majors and prospective majors. Course material and presentation will be at an introductory level. Enrollment and participation in one discussion section is required. Sign up for the discussion section will occur on Canvas at the start of the quarter. Prerequisites:
CS106A (required),
DATASCI 112 (recommended as pre or corequisite). Limited enrollment. Please complete the interest form here:
https://forms.gle/8ui9RPgzxjGxJ9k29. A permission code will be given to admitted students to register for the class.
Terms: Aut, Spr
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI
Instructors:
Nobles, M. (PI)
;
Weinstein, J. (PI)
;
Castro Pena, D. (TA)
...
more instructors for EARTHSYS 153 »
Instructors:
Nobles, M. (PI)
;
Weinstein, J. (PI)
;
Castro Pena, D. (TA)
;
Charmot, S. (TA)
;
Dann, C. (TA)
;
Ma, S. (TA)
;
Ross, D. (TA)
;
Upadhyay, R. (TA)
;
Vasilenok, N. (TA)
EARTHSYS 162: Data for Sustainable Development (CS 325B, EARTHSYS 262)
The sustainable development goals (SDGs) encompass many important aspects of human and ecosystem well-being that are traditionally difficult to measure. This project-based course will focus on ways to use inexpensive, unconventional data streams to measure outcomes relevant to SDGs, including poverty, hunger, health, governance, and economic activity. Students will apply machine learning techniques to various projects outlined at the beginning of the quarter. The main learning goals are to gain experience conducting and communicating original research. Prior knowledge of machine learning techniques, such as from
CS 221,
CS 229,
CS 231N,
STATS 202, or
STATS 216 is required. Open to both undergraduate and graduate students. Enrollment limited to 24. Students must apply for the class by filling out the form at
https://goo.gl/forms/9LSZF7lPkHadix5D3. A permission code will be given to admitted students to register for the class.
Terms: Aut
| Units: 3-5
| Repeatable
for credit
EARTHSYS 164: Introduction to Physical Oceanography (CEE 162D, CEE 262D, ESS 148)
An introduction to what causes the motions in the oceans. Topics include: the physical environment of the ocean; properties of sea water; atmosphere-ocean interactions; conservation of heat, salt, mass, and momentum, geostrophic flows, wind-driven circulation patterns; the Gulf Stream; equatorial dynamics and El Nino; and tides. By the end of the course, students will have physical intuition for why ocean currents look the way they do and a basic mathematical framework for quantifying the motions. Prerequisite:
PHYSICS 41
Terms: Aut
| Units: 3
| UG Reqs: GER: DB-NatSci
Instructors:
Fong, D. (PI)
;
Aiu, K. (TA)
EARTHSYS 170: Where the Wild Things Are: The Ecology and Ethics of Conserving Megafauna (BIO 185, DLCL 170, EALC 170, GLOBAL 170)
Under conditions of global environmental change and mass extinction, how will humanity share the planet with wildlife? This course invites undergraduate students to consider this question under the guidance of two biologists and a literary scholar. We will engage with a range of interdisciplinary scholarship on how humans seek to study, understand, exploit, protect, and empathize with charismatic megafauna. We ask how regional differences in culture, political economy, and ecology shape conservation efforts.
Terms: Aut, Win
| Units: 3-5
| UG Reqs: WAY-ER, WAY-SMA
EARTHSYS 179: The Science & Practice of Valuing Nature for a Better World (BIO 179, BIO 279, EARTHSYS 279)
This course explores the science of valuing nature, through two interwoven pathways. One is biophysical, focused on human dependence and impacts on Earth's life-support systems. If well managed, lands, waters, and biodiversity yield a flow of vital benefits that sustain and fulfill human life. We will develop a framework and practical tools for quantifying this stream of benefits from nature to people. The second pathway is social, economic, and philosophical, weaving through concepts of well-being, human development, and conservation and the ethics and effects of their pursuit. We will look back, ahead into the future, and inward, taking a global view and considering diverse cultural perspectives. Our discussions will be situated in the context of the COVID-19 pandemic, movements for racial justice and socioeconomic equity, and efforts to enable people and nature to thrive in cities and countries worldwide. The course is intended for diverse, advanced students, with interests in resea
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This course explores the science of valuing nature, through two interwoven pathways. One is biophysical, focused on human dependence and impacts on Earth's life-support systems. If well managed, lands, waters, and biodiversity yield a flow of vital benefits that sustain and fulfill human life. We will develop a framework and practical tools for quantifying this stream of benefits from nature to people. The second pathway is social, economic, and philosophical, weaving through concepts of well-being, human development, and conservation and the ethics and effects of their pursuit. We will look back, ahead into the future, and inward, taking a global view and considering diverse cultural perspectives. Our discussions will be situated in the context of the COVID-19 pandemic, movements for racial justice and socioeconomic equity, and efforts to enable people and nature to thrive in cities and countries worldwide. The course is intended for diverse, advanced students, with interests in research and in moving from science to action for a more just and sustainable world. Prerequisite: Basic to intermediate GIS (Geographic Information Systems) skills are necessary. We will help with these, but not teach GIS specifically in class. Basic skills include, for example: working with raster, vector and tabular data; loading rasters, shapefiles, and tables into a GIS; changing the symbology of rasters and shapefiles in your chosen GIS; editing raster and shapefile attribute tables; understanding coordinate systems and how to re-project layers; looking at individual raster cell values; and performing basic raster math.
Terms: Aut
| Units: 1-3
EARTHSYS 191: Concepts in Environmental Communication (EARTHSYS 291)
Introduction to the history, development, and current state of communication of environmental science and policy to non-specialist audiences. Includes fundamental principles, core competencies, and major challenges of effective environmental communication in the public and policy realms and an overview of the current scope of research and practice in environmental communication. Intended for graduate students and advanced undergraduates, with a background in Earth or environmental science and/or policy studies, or in communication or journalism studies with a specific interest in environmental and science communication. Prerequisite: Earth Systems core (
EarthSys 111 and
EarthSys 112) or equivalent. (Meets Earth Systems WIM requirement.)
Terms: Aut
| Units: 3
Instructors:
Hayden, T. (PI)
;
Chin, K. (TA)
EARTHSYS 194: Introduction to Environmental Justice: Race, Class, Gender and Place (ENVRES 223)
This course examines the rhetoric, history and key case studies of environmental justice while encouraging critical and collaborative thinking, reading and researching about diversity in environmental movements within the global community and at Stanford, including the ways race, class and gender have shaped environmental battles still being fought today. We center diverse voices by bringing leaders, particularly from marginalized communities on the frontlines to our classroom to communicate experiences, insights and best practices. Together we will develop and present original research projects which may serve a particular organizational or community need, such as racialized dispossession, toxic pollution and human health, or indigenous land and water rights, among many others. Cardinal Course certified by the Haas Center for Public Service. On Mondays, we will meet for discussion-based seminars and small group activities. On Wednesdays, Intro to EJ students will attend lectures presented by leading EJ scholars and advocates through the Environmental Justice Colloquium (
EARTHSYS 194A).
Terms: Aut
| Units: 4
| UG Reqs: WAY-EDP, WAY-SI
EARTHSYS 194A: Environmental Justice Colloquium (HUMRTS 194A, URBANST 155A)
This colloquium brings the voices and vision of leading Environmental Justice (EJ) advocates to the Stanford community, in order to educate, inspire, and transform our understanding of environmental science. Environmental Justice advances a positive vision for policies and actions that fight environmental racism. EJ approaches involve centering the voices and leadership of marginalized communities in 1) ensuring equitable access to environmental benefits, and 2) preventing or mitigating the disproportionate impacts of environmental harms for all communities, regardless of gender, class, race, ethnicity, or other social positions. This colloquium highlights the work of leading EJ thinkers and practitioners, speaking from frontline organizations on a wide range of topics. These topics include acting on toxic exposures and health disparities for community resilience, climate justice and youth action, Indigenous land and water rights, green cities and Afrofuturism, food justice and intersecting social movements, queer ecologies, and more. The colloquium will host a weekly speaker with course meetings held every Wednesday. Colloquium presentations will begin promptly at 12pm.
Terms: Aut
| Units: 1
| Repeatable
3 times
(up to 3 units total)
Instructors:
Diver, S. (PI)
EARTHSYS 197: Directed Individual Study in Earth Systems
Under supervision of an Earth Systems faculty member on a subject of mutual interest.
Terms: Aut, Win, Spr
| Units: 1-9
| Repeatable
for credit
Instructors:
Diver, S. (PI)
;
Fendorf, S. (PI)
;
Hoagland, S. (PI)
...
more instructors for EARTHSYS 197 »
Instructors:
Diver, S. (PI)
;
Fendorf, S. (PI)
;
Hoagland, S. (PI)
;
Lobell, D. (PI)
;
Maples, S. (PI)
;
Siegel, R. (PI)
EARTHSYS 199: Honors Program in Earth Systems
Honors Program in Earth Systems
Terms: Aut, Win, Spr, Sum
| Units: 1-9
| Repeatable
for credit
Instructors:
Ardoin, N. (PI)
;
Arrigo, K. (PI)
;
Asner, G. (PI)
...
more instructors for EARTHSYS 199 »
Instructors:
Ardoin, N. (PI)
;
Arrigo, K. (PI)
;
Asner, G. (PI)
;
Benjamin-Chung, J. (PI)
;
Block, B. (PI)
;
Boggs, C. (PI)
;
Boucher, A. (PI)
;
Cain, B. (PI)
;
Caldwell, M. (PI)
;
Casciotti, K. (PI)
;
Chamberlain, P. (PI)
;
Crowder, L. (PI)
;
Daily, G. (PI)
;
Davis, J. (PI)
;
Denny, M. (PI)
;
Diffenbaugh, N. (PI)
;
Dirzo, R. (PI)
;
Dunbar, R. (PI)
;
Durham, W. (PI)
;
Egger, A. (PI)
;
Ernst, W. (PI)
;
Fendorf, S. (PI)
;
Field, C. (PI)
;
Francis, C. (PI)
;
Frank, Z. (PI)
;
Freyberg, D. (PI)
;
Fringer, O. (PI)
;
Fukami, T. (PI)
;
Gerritsen, M. (PI)
;
Gilly, W. (PI)
;
Gordon, D. (PI)
;
Gorelick, S. (PI)
;
Goulder, L. (PI)
;
Hadly, E. (PI)
;
Hayden, T. (PI)
;
Hecker, S. (PI)
;
Hilley, G. (PI)
;
Ingle, J. (PI)
;
Jones, J. (PI)
;
Kennedy, D. (PI)
;
Kennedy, J. (PI)
;
Knight, R. (PI)
;
Koseff, J. (PI)
;
Kovscek, A. (PI)
;
Lambin, E. (PI)
;
Litvak, L. (PI)
;
Lobell, D. (PI)
;
Long, S. (PI)
;
Luby, S. (PI)
;
Masters, G. (PI)
;
Matson, P. (PI)
;
Micheli, F. (PI)
;
Monismith, S. (PI)
;
Mooney, H. (PI)
;
Mordecai, E. (PI)
;
Naylor, R. (PI)
;
Orr, F. (PI)
;
Ortolano, L. (PI)
;
Palumbi, S. (PI)
;
Payne, J. (PI)
;
Peay, K. (PI)
;
Pringle, J. (PI)
;
Schoolnik, G. (PI)
;
Seto, K. (PI)
;
Somero, G. (PI)
;
Sperling, E. (PI)
;
Sweeney, J. (PI)
;
Switzer, P. (PI)
;
Tabazadeh, A. (PI)
;
Thomas, L. (PI)
;
Thompson, B. (PI)
;
Victor, D. (PI)
;
Vitousek, P. (PI)
;
Walbot, V. (PI)
;
Watanabe, J. (PI)
;
Welander, P. (PI)
;
Weyant, J. (PI)
;
Wiederkehr, S. (PI)
;
Wong-Parodi, G. (PI)
;
Woodward, J. (PI)
;
Zoback, M. (PI)
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