Chapter
Using Computational Methods to Understand Social Science Data
1:14:50 - 1:22:50 (08:00)
A researcher describes how she decided to use computational methods to study social science data, instead of traditional experimental methods. She also highlights her dad's influence as a chemist in her interest in science.
Clips
The speaker shares his experience of almost dying due to Diabetic Ketoacidosis at the age of sixteen, as he lost about forty-five pounds and was drinking up to forty liters of liquid per day before going to the hospital.
1:14:50 - 1:18:38 (03:48)
Summary
The speaker shares his experience of almost dying due to Diabetic Ketoacidosis at the age of sixteen, as he lost about forty-five pounds and was drinking up to forty liters of liquid per day before going to the hospital.
ChapterUsing Computational Methods to Understand Social Science Data
EpisodeEp 54: The Promises and Perils of the Microbiome - Dr. Jonathan Eisen and Jessica Richman
PodcastThe Tim Ferriss Show
A chemist's daughter discusses her passion for science as a child and her disappointment in the early science courses that focused on recreating existing experiments rather than conducting original experiments.
1:18:38 - 1:20:25 (01:47)
Summary
A chemist's daughter discusses her passion for science as a child and her disappointment in the early science courses that focused on recreating existing experiments rather than conducting original experiments.
ChapterUsing Computational Methods to Understand Social Science Data
EpisodeEp 54: The Promises and Perils of the Microbiome - Dr. Jonathan Eisen and Jessica Richman
PodcastThe Tim Ferriss Show
Two PhD students, one studying biophysics and the other, social science data, joined forces to create a new field of computational social science by applying the same data science techniques used to understand LinkedIn data to social science data.
1:20:25 - 1:22:50 (02:25)
Summary
Two PhD students, one studying biophysics and the other, social science data, joined forces to create a new field of computational social science by applying the same data science techniques used to understand LinkedIn data to social science data.