Benjamin PeckinGeek CultureUnderstanding US Regions through Cluster AnalysisNobody agrees on where “the South” begins. Can an algorithm help?14 min read·Sep 1, 2021----
Benjamin PeckinGeek CultureIntroduction to ClusteringMuch of the buzz around data science focuses on its predictive power — the ability to create models which can distinguish between…7 min read·Jul 6, 2021----
Benjamin PeckinTowards Data ScienceData Science for History: Predictive Modeling and Problems of ScaleWhy Peter Turchin’s “cliodynamics” can’t quite predict the future10 min read·Dec 5, 2020----
Benjamin PeckinAnalytics VidhyaIntro to Linear RegressionLinear regression is the grandfather of all predictive models. Two centuries on, it’s been largely eclipsed in glamor by its progeny, but…3 min read·Mar 19, 2020----
Benjamin PeckinTowards Data ScienceData Science for History: Distant ReadingOne of the most promising applications of data science for history has been the technique known in the digital humanities as “distant…5 min read·Mar 16, 2020----
Benjamin Peck“Digital History” vs “Data Science for History”A clarification of terms4 min read·Mar 12, 2020----
Benjamin PeckHistory Data is Abundant, but MessyIn a previous post, I discussed the vast amount of data available to historians and the possibilities presented by new methods of working…5 min read·Mar 11, 2020----
Benjamin PeckData Science is History’s FutureHistory, as a discipline, has a data problem. Not that there isn’t enough data to work with — on the contrary, there’s far too much.3 min read·Mar 10, 2020----