Simon DeDeo: Difference between revisions
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I'm | I'm a professor at Carnegie Mellon University, where I run the Laboratory for Social Minds, and external faculty at the Santa Fe Institute. | ||
You can find links to | How do people organize themselves to do great things: build nations, create art, build businesses, or discover natural or moral truths? We know a lot about the microevolution of culture, but much less about the big macroevoutionary phenomena that alter the very basis of human life. Simple stories about "memes" are totally inadequate to capture the complex, transformational effects that the invention of, say, participatory democracy or the scientific method, has downstream. | ||
More formally, we ask questions about cultural evolution and the emergence of complex societies and practices through large-scale, computational analysis of archives. At the same time, we build models of cognition, often with a basis in information theory or machine learning, and we then test our theories of culture through laboratory experiments. | |||
Our empirical work spans the last few centuries of the human species. We've worked on speeches from the French Revolution (1789–1791), court trials from the British Common Law system (1780-1913), the emergence of scientific innovation in the Royal Society (1665–1996), cooperation and conflict on Wikipedia (2001–), empathy and relating on Mumsnet (2001–), online radicalization and the incels movement in Reddit (2017–), the Socratic dialogues (-399–-387), Poetry Magazine (1913–2001), the Serbian Parliament (1996–), and the US Congressional Record (1996–). And probably a few others that we've completely forgotten about (sorry!) | |||
Our theoretical work began with analogies from statistical mechanics, but we're primarily interested now in the phenomena of unsupervised clustering, lossy compression, rate distortion theory, and the information bottleneck. One of our visitors is writing code to evolve Python programs but he promises not to trigger the AI singularity. | |||
We're always looking for new collaborators, and we've collaborated with a number of CSSS students over the years. Some of them now have tenure! | |||
You can find links to research and papers from our lab here -- [http://santafe.edu/~simon http://santafe.edu/~simon] | |||
Revision as of 18:11, 30 May 2018
I'm a professor at Carnegie Mellon University, where I run the Laboratory for Social Minds, and external faculty at the Santa Fe Institute.
How do people organize themselves to do great things: build nations, create art, build businesses, or discover natural or moral truths? We know a lot about the microevolution of culture, but much less about the big macroevoutionary phenomena that alter the very basis of human life. Simple stories about "memes" are totally inadequate to capture the complex, transformational effects that the invention of, say, participatory democracy or the scientific method, has downstream.
More formally, we ask questions about cultural evolution and the emergence of complex societies and practices through large-scale, computational analysis of archives. At the same time, we build models of cognition, often with a basis in information theory or machine learning, and we then test our theories of culture through laboratory experiments.
Our empirical work spans the last few centuries of the human species. We've worked on speeches from the French Revolution (1789–1791), court trials from the British Common Law system (1780-1913), the emergence of scientific innovation in the Royal Society (1665–1996), cooperation and conflict on Wikipedia (2001–), empathy and relating on Mumsnet (2001–), online radicalization and the incels movement in Reddit (2017–), the Socratic dialogues (-399–-387), Poetry Magazine (1913–2001), the Serbian Parliament (1996–), and the US Congressional Record (1996–). And probably a few others that we've completely forgotten about (sorry!)
Our theoretical work began with analogies from statistical mechanics, but we're primarily interested now in the phenomena of unsupervised clustering, lossy compression, rate distortion theory, and the information bottleneck. One of our visitors is writing code to evolve Python programs but he promises not to trigger the AI singularity.
We're always looking for new collaborators, and we've collaborated with a number of CSSS students over the years. Some of them now have tenure!
You can find links to research and papers from our lab here -- http://santafe.edu/~simon