It’s been a year since I’ve graduated and I’m afraid to admit that I miss school, because admitting it means that (1) I start daydreaming about grad school; and (2) I feel a deep regret for not taking advantage of my education and pursuing a more interdisciplinary approach to my degree. And I tried, I swear.
There’s some good news, though – you don’t need to go back to school for a good interdisciplinary mindf*ck. Pardon my French, but I’m really excited about this curriculum I’m building through Coursera and would love if other people are interested to sign up + discuss with me. There’s some basic math and computer science, political economy, behavioral economics, game theory (added bonus: in artificial intelligence, too!!!) and is centered around my interest in having a better understanding of systems, networks, and a data-centered approach to causation.
Configuring the World: A Critical Political Economy Approach
from Universiteit Leiden, Sept 1-Nov 3 (8 weeks)
In today’s world, politics and economics are inextricably interconnected, but what is the nature of this connectivity? What are the power relationships that shape the world economy today and create new challenges for international institutions facing globalization? What makes some countries wealthier than others? Do we face cultural diversity or fragmentation? Does the type of governance effect economic development and social change or is it the other way around? How do we measure it and how trustworthy is the data? These issues and many more will be examined in this course along with up-to-date sources and biting criticism.
Data Analysis and Statistical Inference
from Duke University, Sept 1 – Nov 10 (10 weeks)
This course introduces you to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.
The Age of Sustainable Development
from Columbia, starts Sep 9 – Dec 10 (14 weeks)
Sustainable development is the most urgent challenge facing humanity. The fundamental question is how the world economy can continue to develop in a way that is socially inclusive and environmentally sustainable. The course describes the complex interactions between the world economy and the Earth’s physical environment.
An Introduction to Legal and Political Philosophy
from Penn, Sep 21 – Nov 2 (6 weeks)
Political and legal institutions are built on foundational, philosophical ideas–ideas about freedom, equality, justice, and happiness. In this course, we will explore those ideas, taking the institutions around us not as fixed and unquestionable, but as things to evaluate and, if necessary, to change.
Social and Economic Networks: Models and Analysis
from Stanford, Sep 21 – Nov 23 (9 weeks)
Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors?
from Stanford University, starts Oct 5 – Dec 7 (9 weeks)
The course covers the basics: representing games and strategies, the extensive form (which computer scientists call game trees), repeated and stochastic games, coalitional games, and Bayesian games (modeling things like auctions).
Would love friends to join me in any or all of the courses! Leave a comment or e-mail me at stella [at] daintily [dot] org.