Data Science Lab

Research Consulting Service

The purpose of the Data Science Lab's Research Consulting service is to give help and advice on methodological and/or technical issues that appear in the course of your research. The service is mostly focused on questions of research design, quantitative measurement and statistical inference, computational tools (particularly R and text analysis), and data or results visualisation, but we're also happy to weigh in on other types of question if you think that would be useful. If in doubt, just drop us an email and ask. Email addresses are linked below.

Areas of focus

  • Dr. Will Lowe: Research design, causal inference, statistical modeling; data wrangling, visualisation, text analysis (statistical or manual), GIS (maps), code optimisation and parallel computing, all in R. Basic python consulting.
  • Allison Koh: Learning R and RStudio. Data wrangling, visualisation, and working with text data in Python, R, and Stata.
  • Lisa Oswald: Statistics in R, research design, data wrangling using R and Python, working with APIs / accessing data in Python, Network Analysis in Python, Agent based modelling in Netlogo, LaTeX

  • Dr. Olga Gasparyan: Linear Models and data visualization in R (including maps), research design and causal inference, basic survey and experiments questions, data management in R and Python, basic Python questions, web scrapping in Python (including Selenium), LaTeX, basic ML consulting.

Office hours and appointments

Hertie School students can check the Research Consulting team's current office hours and book an appointment on Moodle.

For updated information on the Research Consulting service, please visit the team's Github page