printer friendly pageSOC 128: The Future of Global Systemic Risk (EARTHSYS 156, STS 156)
The global risk environment is changing. Seemingly distinct large-scale risks affect what we now realize are mutually interdependent human, socio-technical, and ecological systems. As a result, consequences are more catastrophic, and costs are set to accelerate. How do we determine the top risks of this decade to prioritize actions, and how are both risks and actions likely to evolve and interact? This course investigates the data, methods, and insights mobilized by key actors such as corporations, governments, and academics to assess systemic risk, create future scenarios, and generate predictions. What are the track records of recognized systemic risk assessment and modeling toolkits? Going forward, how can we get better at risk prevention and mitigation? This year, the course will focus on combined risks from the environmental, health, and emerging tech domains. The key objective is to quickly learn relevant vocabularies (risk, tech, and futurist) by engaging with both traditional a
more »
The global risk environment is changing. Seemingly distinct large-scale risks affect what we now realize are mutually interdependent human, socio-technical, and ecological systems. As a result, consequences are more catastrophic, and costs are set to accelerate. How do we determine the top risks of this decade to prioritize actions, and how are both risks and actions likely to evolve and interact? This course investigates the data, methods, and insights mobilized by key actors such as corporations, governments, and academics to assess systemic risk, create future scenarios, and generate predictions. What are the track records of recognized systemic risk assessment and modeling toolkits? Going forward, how can we get better at risk prevention and mitigation? This year, the course will focus on combined risks from the environmental, health, and emerging tech domains. The key objective is to quickly learn relevant vocabularies (risk, tech, and futurist) by engaging with both traditional and emerging assessment methods, in order to discover how to shape positive societal outcomes in the next decade and beyond. The course prepares students for key roles in the assessment, management, and prediction of risks, technologies, markets, industries, infrastructures, and futures. People with these skills can affect the governance principles, strategies, and leadership of corporations, philanthropies, states, economies, and entire societies.
Terms: Spr
| Units: 3-4
Instructors:
Undheim, T. (PI)
SOC 128D: Analytics for a Changing Climate: Introduction to Social Data Science
Data science has rapidly gained recognition within the social sciences because it offers powerful new ways to ask questions about social systems and problems. This course will examine how tools from data science can be used to analyze pressing issues relating to disaster, inequality, and scarcity in the Anthropocene (the current period in which humans are the primary driver of planetary changes). We will explore how a range of computational methods can be used to garner new meanings from sources such as weather monitors, press releases, websites, government programs, and more. This is a hands-on, interactive course culminating in a social data science project designed by the student or a team of up to four students. Most class sessions will be taught interactively using Jupyter Notebooks. Students will follow along with workshop-style lectures by using and modifying the provided R/Python code in real time to analyze data and visualize results. The course will cover such topics as the S
more »
Data science has rapidly gained recognition within the social sciences because it offers powerful new ways to ask questions about social systems and problems. This course will examine how tools from data science can be used to analyze pressing issues relating to disaster, inequality, and scarcity in the Anthropocene (the current period in which humans are the primary driver of planetary changes). We will explore how a range of computational methods can be used to garner new meanings from sources such as weather monitors, press releases, websites, government programs, and more. This is a hands-on, interactive course culminating in a social data science project designed by the student or a team of up to four students. Most class sessions will be taught interactively using Jupyter Notebooks. Students will follow along with workshop-style lectures by using and modifying the provided R/Python code in real time to analyze data and visualize results. The course will cover such topics as the South African water crisis, Hurricane Katrina, the California Wildfires, and water rights along the Colorado River. Students will learn to explore text data with tools such as word embeddings, topic models, and sentiment analysis. Students will gain experience with Python and R and will learn about a range of packages for cleaning data, linking and matching records, and mapping their results.
Last offered: Summer 2023
| UG Reqs: WAY-AQR, WAY-SI
Filter Results: