Michael Ganslmeier
I
About
I am an Assistant Professor in Computational Social Science at the University of Exeter. I specialize in causal inference, machine learning, and quantitative methods, applying them to various fields in the social sciences. My research bridges the gap between academia and real-world policy- and decision-making by addressing complex societal questions with (big) data and empirical evidence.
Jobs
- Assistant Professor in Computational Social Science, University of Exeter (since 2024)
- Data Scientist & Consultant, World Bank (since 2023)
- Postdoctoral Fellow, Department of Methodology, London School of Economics (2022-24)
Degrees
- Doctor, University of Oxford
- Master, London School of Economics
- Semester Abroad, Columbia University
- Bachelor, Zeppelin University
Collaborations
I have had the privilege of working for and collaborating with the following esteemed organizations:
Research & Publications
In this section you can find (some of my) ongoing research projects and a list of selected publications (see below).
Research in Progress
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The Sources of Model Uncertainty in Political Science: A Machine Learning Approach
- Authors: Michael Ganslmeier, Tim Vlandas
- Funded by: All Souls College / Economic and Social Research Council (ESRC)
- Status: Revise and resubmit at Proceedings of the National Academy of Sciences
-
From Pledge to Poll: The Impact of Campaign Promises on Party Alignment
- Authors: Michael Ganslmeier [Job Market Paper]
- Funded by: All Souls College / Economic and Social Research Council (ESRC)
- Status: Revise and resubmit at Comparative Political Studies
-
Political Integration and Trust in Foreigners
- Authors: Barry Eichengreen, Michael Ganslmeier, Orkun Saka
- Status: In progress
-
Pension Benefits and Turnout: Evidence from the Public Sector in Illinois
- Authors: Michael Ganslmeier, Margaryta Klymak, Tim Vlandas
- Funded by: All Souls College / Economic and Social Research Council (ESRC)
- Status: In progress
-
The Economic Costs of Temperature Volatility
- Authors: Luca Bettarelli, Davide Furceri, Michael Ganslmeier, Marc Schiffbauer
- Funded by: World Bank / International Monetary Fund
- Status: In progress
-
Empirical Identification of Feasible and Strategic Climate Policies
- Authors: Penny Mealy, Michael Ganslmeier, Catrina Godinho, Stephane Hallegatte
- Funded by: World Bank
- Status: In progress
Selected Publications
-
Are Climate Change Policies Politically Costly? (2023)
- Authors: Davide Furceri, Michael Ganslmeier, Jonathan D. Ostry
- Funded by: All Souls College / Economic and Social Research Council (ESRC)
- Published in: Energy Policy
-
Compliance with the First UK COVID-19 Lockdown (2022)
- Authors: Michael Ganslmeier, Jonathan Van Parys, Tim Vlandas
- Funded by: YouGov
- Published in: Scientific Reports (Nature)
-
The Impact of Weather on COVID-19 Pandemic (2021)
- Authors: Michael Ganslmeier, Davide Furceri, Jonathan D. Ostry
- Published in: Scientific Reports (Nature)
-
Ageing and the Economy: A Literature Review of Political and Policy Mechanisms (2021)
- Authors: Tim Vlandas, Daniel McArthur, Michael Ganslmeier
- Published in: Political Research Exchange
-
On the Complementarity between Labour Market Regulation and Tax Reforms in the European Union (2020)
- Authors: Angelo Martelli, Nauro F. Campos, Michael Ganslmeier, Yuemei Ji, Orkun Saka
- Funded by: Economic and Social Research Council (ESRC)
- Published in: Cambridge University Press
-
Structural Reforms in Europe. Lessons from Early Experiences (2020)
- Authors: Orkun Saka, Angelo Martelli, Michael Ganslmeier, Yuemei Ji, Nauro F. Campos, Paul De Grauwe
- Funded by: Economic and Social Research Council (ESRC)
- Published in: Cambridge University Press
Portfolio
Feel free to check out the results of some of my past research projects.
Skills
I have helped various clients accelerate their data-driven projects. If you are interested in hiring me as a consultant, advisor, or freelancer, feel free to get in touch. I speak/know how to use R, Python, Stata, SQL, Ruby, JavaScript, HTML/CSS, ArcGIS, Shell, Bash, REST API, AWS, TensorFlow, and many more.
Deep and Machine Learning
Experience in neural networks, predictive modeling, and frameworks like Keras, TensorFlow and PyTorch.
Natural Language Processing
Proficient in text mining, sentiment analysis, and NLP libraries like spaCy and transformers.
Causal Inference
Expertise in analyzing causal relationships using econometrics and advanced statistics.
Geospatial Analysis
Competence in geospatial data analysis and GIS tools like ArcGIS and satellite imagery processing.
Web Scraping
Experienced in building scalable scrapers with Python's BeautifulSoup and Scrapy, and R's rvest and RSelenium.
Descriptive Analysis
Expert in creating dashboards and visualizations for actionable insights.
Teaching
I have taught multiple courses at the undergraduate, master and doctoral level at the London School of Economics and the University of Exeter. You can access the course descriptions via the links provided.
Data Analysis in Social Science II (SSI2005)
University of Exeter
Introduction to Programming (SSI1002)
University of Exeter
Causal Inference for Observational and Experimental Studies (MY457)
London School of Economics
Research Design for Policy and Programme Evaluation (MY405)
London School of Economics
Applied Regression Analysis (MY452)
London School of Economics
Contact
If you have any questions, feel free to reach out and say hi 👋.
Address
University of Exeter
Centre for Computational Social Science
Clayden Building at Streatham Rise Campus
EX4 4PE Exeter, United Kingdom
Email Me
m.ganslmeier@exeter.ac.uk