Kenneth Benoit
Professor of Computational Social Science at The London School of Economics and Political Science
Schools
- The London School of Economics and Political Science
Expertise
Links
Biography
The London School of Economics and Political Science
Ken Benoit is Director of the Data Science Institute at LSE and Professor of Computational Social Science in the Department of Methodology.
Ken’s current research focuses on computational, quantitative methods for processing large amounts of textual data, mainly political texts and social media. Current interest span from the analysis of big data, including social media, and methods of text mining. He has published extensively on applications of measurement and the analysis of text as data in political science, including machine learning methods and text coding through crowd-sourcing, an approach that combines statistical scaling with the qualitative power of thousands of human coders working in tandem on small coding tasks.
He received his PhD in Government with a specialisation in statistical methodology from Harvard University.
His substantive research interests include comparative party competition, the European Parliament, electoral systems, and transitions to democracy. Much of his recent work involves estimating the electoral effects of campaign spending. He is also a leading specialist on Hungarian elections and the Hungarian electoral system. His methodological interests include statistical methodologies for the social sciences, especially those relating to measurement and quantitative text analysis. Recent data large-scale measurement projects in which he has been involved include estimating policy positions of political parties through expert surveys, manifesto coding, and text analysis.
Education
- Doctor of Philosophy (PhD) Harvard University (1991 — 1998)
- BA University of South Carolina-Columbia (1986 — 1991)
- Certificat d'Etudes Politiques Institut d'Etudes politiques de Paris (1989 — 1990)
- High School Diploma Mauldin High School (1982 — 1986)
Companies
- Director of the Data Science Institute The London School of Economics and Political Science (LSE) (2020)
- Professor of Computational Social Science The London School of Economics and Political Science (LSE) (2019)
- Professor, Part-Time The Australian National University (2019)
- Associate Editor, American Political Science Review American Political Science Association (2016 — 2020)
- Professor and Head of Department The London School of Economics and Political Science (LSE) (2011 — 2018)
- Associate Editor Political Science Research and Methods (2012 — 2016)
- Treasurer/Vice-President European Political Science Association (2009 — 2016)
- Professor of Quantitative Social Sciences Trinity College Dublin (2007 — 2010)
Videos
Big Data Economics Summer School 2016, Professor Kenneth Benoit, part 1
#DataforPolicy2015 - "The Challenges of Big Data for the social sciences" by Prof. Kenneth Benoit
Kenneth Benoit @ Data for Policy 2017
Data Science for Executives | LSE Executive Education
Scaling up qualitative data: with Professor Ken Benoit
Why R? 2020 | Ken Benoit - Why you should stop using other text mining packages and embrace quanteda
Data Science for Executives | LSE Executive Education
LSE Events | Professor Kenneth Benoit | The Brexit Debate through Social Media (Slides+Audio)
LSE Events | Professor Kenneth Benoit | The Brexit Debate through Social Media
Ground truth? The uses and abuses of human annotation in text analysis - Professor Kenneth Benoit
Professor Ken Benoit | CIVICA Research: Collaborative Hackathon on Democracy in the 21st Century
LSE Data Science: Text Analysis Using R Online Certificate Course | Trailer
#DataforPolicy2015 - Interview with Prof. Kennet Benoit, Professor at LSE
Ken Benoit — Beyond Bag-of-Words: Detecting and Using Meaningful Multi-word ... — BIDS TextXD 2020
Quantitative Text Mining, the Social Scientific Way: Mining Social Media on Brexit
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