Christopher Harms

Data Scientist · PhD Student · mail@christopherharms.de

Hi there! I am a Data Scientist for market researching company SKOPOS and PhD student at the University of Bonn. My academic research is focused on statistical practice and replicability in psychological science. As Data Scientist I implement cutting edge solutions from statistics and machine learning in market research. In talks and workshops I pass on my research and viewpoints to interested audiences.

This page is my CV and a list of my academic publications. You find writings on my research and data science stuff over at my blog.

Professional Experience

Consultant Research & Development / Data Scientist

SKOPOS Research —  

Advancing market research through the implementation of data science and machine learning methods in projects. Building a team of data scientist and providing individual, data-centered solutions for our customers.

August 2016 - present

Research and Teaching Assistant

University of Bonn, Institute for Psychology

Academic research on questions of replicability in psychological science and statistical practice (hypothesis testing, statistical modeling, Bayesian statistics). Teaching Master students in psychology on testing, decision-making and psychological assessment.

October 2015 - present

Freelance Data Scientist & Speaker

Giving workshops and talks on Data Science, statistics and research methods. A selection of workshops and talks:

  • Data Analysis using R (see Blog post here)
  • Biometry and Statistical Methods (Good Clinical Practice courses for principal investigators in clinical trials)
  • Artificial Intelligence in Market Research
January 2013 - present

Director Marketing

CETel GmbH —
April 2014 - April 2015

Education & Academic Experience

University of Bonn

PhD student

Working Title: Reproducibility and Statistical Practice in Psychological Science

October 2015 - present

Eindhoven University of Technology (TU/e)

Visiting Researcher / PhD student

Collaborating with  Daniël Lakens,  Anne Scheel and  Peder Isager on questions of reproducibility in psychological science.

February 2018 - March 2018

University of Bonn

Psychology (Master of Science)

Master thesis: „Statistical validation of data quality using simulation-based methods”
Grade: 1.2

October 2012 - August 2014

University of Bonn

Psychology (Bachelor of Science)

Bachelor thesis: „The Influence of Genetics and Personality on Soft-Drink Preference: A Neuromarketing Study involving Eye-Tracking Measurements”
Grade: 1.3

October 2008 - September 2012

Research Interests

  • Bayesian statistics and multilevel modeling in social science research
  • Reproducibility and replicability in psychological science
  • Machine Learning and Data Science in applied marketing and market research
  • Innovative approaches to data collection and analysis in market research

These interests have contributed to my research publications below.

Publications

 Peer-reviewed Articles,  Pre-Prints,  Conference Papers and  Posters

2018

  • Harms, C., Genau, H., Meschede, C., & Beauducel, A. (2018). Does It Actually Feel Right? A Replication Attempt of the Rounded Price Effect. Royal Society Open Science, 5(4). doi:10.1098/rsos.171127
     Article website ·   Download PDF
  • Harms, C., & Lakens, D. (in press). Making 'Null Effects' Informative: Statistical Techniques and Inferential Frameworks. Journal of Clinical and Translational Research.
     Pre-print on PsyArXiv
  • Harms, C. (under review). A Bayes Factor for Replications of ANOVA Results.
     Pre-print on arXiv ·  Download PDF
  • Harms, C. & Schmidt, S. (2018). Learning From All Answers: Embedding-based Topic Modeling for Open-Ended Questions. In: General Online Research (GOR) 2018, Cologne.
     Download PDF
  • Harms, C. (2018). We need to talk: Reproducibility in Online Research. In: General Online Research (GOR) 2018, Cologne.
     Download PDF
  • Harms, C. (2018). Keine Angst vor Ihrem neuen Kollegen, der Maschine. (Session "KI in der Marktforschung"). In: General Online Research (GOR) 2018, Cologne.
     Download PDF

2017

  • Harms, C., Jackel, L., & Montag, C. (2017). Reliability and completion speed in online questionnaires under consideration of personality. Personality and Individual Differences, 111. doi:10.1016/j.paid.2017.02.015
     Article website ·  Download PDF
  • Harms, C., & Schmidt, S. (2017). Conversational Survey Frontends: How Can Chatbots Improve Online Surveys? In: General Online Research (GOR) 2017, Berlin.
     Download PDF

2016

  • Beauducel, A., Harms, C., & Hilger, N. (2016). Reliability estimates for three factor score predictors. International Journal of Statistics and Probability, 5(6), 94–107. doi:10.5539/ijsp.v5n6p94
     Article website ·  Download PDF