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Dr Christian Arnold
Lecturer in Politics
Ysgol y Gyfraith a Gwleidyddiaeth
- Ar gael fel goruchwyliwr ôl-raddedig
Trosolwyg
Using data driven methods from statistics and machine learning, my work lies at the intersection between social science and computer science.
Recently, I have been working quite a bit with neural networks to study data privacy and institutions in governance. Some of my projects have had a particular focus on Latin America.
You can read my Political Science papers in the Journal of Politics or International Interactions, among others. I presented findings relevant to Computer Science at the International Conference on Machine Learning and the Theory and Practice of Differential Privacy Workshop Series.
I regularly collaborate with private and public institutions as a consultant.
Cyhoeddiad
2023
- Arnold, C., Engst, B. and Gschwend, T. 2023. Scaling court decisions with citation networks. Journal of Law and Courts 11(1), pp. 25-44. (10.1086/717420)
- Arnold, C., Biedebach, L., Küpfer, A. and Neunhoeffer, M. 2023. The role of hyperparameters in machine learning models and how to tune them. Political Science Research and Methods
2021
- Warner, Z., Harris, J. A., Brown, M. and Arnold, C. 2021. Hidden in plain sight? Irregularities on statutory forms and electoral fraud. Electoral Studies 74, article number: 102411. (10.1016/j.electstud.2021.102411)
2019
- Arnold, C., David, D. and Wiesehomeier, N. 2019. Coalition cabinets, presidential ideological adjustment and legislative success. In: De Oliveira Xavier, L., Dominguez Avila, C. F. and Fonseca, V. eds. A qualidade da democracia no Brasil: Questões teóricas e metodológicas da pesquisa., Vol. 3. Curitiba, Brazil: Editora CRV
2017
- Arnold, C., Doyle, D. and Wiesehomeier, N. 2017. Presidents, policy compromise, and legislative success. Journal of Politics 79(2), pp. 380-395. (10.1086/688080)
2016
- Arnold, C. 2016. Empty promises and nonincorporation in Mercosur. International Interactions 43(4), pp. 643-667. (10.1080/03050629.2016.1206391)
2013
- Arnold, C. and Rittberger, B. 2013. The legalization of dispute resolution in Mercosur. Journal of Politics in Latin America 5(3), pp. 97-132.
Articles
- Arnold, C., Engst, B. and Gschwend, T. 2023. Scaling court decisions with citation networks. Journal of Law and Courts 11(1), pp. 25-44. (10.1086/717420)
- Arnold, C., Biedebach, L., Küpfer, A. and Neunhoeffer, M. 2023. The role of hyperparameters in machine learning models and how to tune them. Political Science Research and Methods
- Warner, Z., Harris, J. A., Brown, M. and Arnold, C. 2021. Hidden in plain sight? Irregularities on statutory forms and electoral fraud. Electoral Studies 74, article number: 102411. (10.1016/j.electstud.2021.102411)
- Arnold, C., Doyle, D. and Wiesehomeier, N. 2017. Presidents, policy compromise, and legislative success. Journal of Politics 79(2), pp. 380-395. (10.1086/688080)
- Arnold, C. 2016. Empty promises and nonincorporation in Mercosur. International Interactions 43(4), pp. 643-667. (10.1080/03050629.2016.1206391)
- Arnold, C. and Rittberger, B. 2013. The legalization of dispute resolution in Mercosur. Journal of Politics in Latin America 5(3), pp. 97-132.
Book sections
- Arnold, C., David, D. and Wiesehomeier, N. 2019. Coalition cabinets, presidential ideological adjustment and legislative success. In: De Oliveira Xavier, L., Dominguez Avila, C. F. and Fonseca, V. eds. A qualidade da democracia no Brasil: Questões teóricas e metodológicas da pesquisa., Vol. 3. Curitiba, Brazil: Editora CRV
Ymchwil
Using data driven methods from statistics and machine learning, my work lies at the intersection between social science and computer science.
Recently, I have been working more and more with neural networks to tackle challenges in data privacy, NLP and applied computer vision. My substantive research focuses on institutions in governance. What drives and determines the rules of political decision making?
You can read my Political Science papers in the Journal of Politics or International Interactions, among others. I presented findings relevant to Computer Science at the International Conference on Machine Learning and the Theory and Practice of Differential Privacy Workshop Series.
Addysgu
My teaching philosophy is based on the idea of Empowerment. Every student is different and has distinct, and very personal goals and motivations. Some are looking for tools to implement change as practitioners, others are eager to develop a career as researchers or seek to grow personally.
The key to lecture such a diverse and challenging group is to involve students as much as possible. Students need to be aware that it is they themselves who are responsible to reach their own goals. In return, it is my task to direct them to the necessary tools to acquire the knowledge and skills they strive for.
By the way: I am Fellow of the Higher Education Academy in the United Kingdom.
Bywgraffiad
Prior to joining Cardiff as a Lecturer, I worked as a Data Scientist in industry, and also held a position as Departmental Lecturer at Oxford University. I graduated with a PhD in Political Science from the University of Mannheim.
Meysydd goruchwyliaeth
- Computational social sciences and applied machine learning
- Institutions
- Latin American politics
