Prof. Dr. Ulrich Matter

Professor für Applied Data Science

Unterrichten in Bachelor- und Masterprogrammen

Betreuung von Bachelor- und Masterarbeiten

Data Science

Applied Econometrics

Applied Economics

BSc. Business Administration (BFH)

BSc. Digital Business & AI (BFH)

BSc. International Business Administration (BFH)

MSc. Digital Business Administration (BFH)

MSc. Business Administration (BFH)

Academic Skills (BACS)

Data Analytics (WDDA)

Business Analytics (IBAN)

Business Analytics (BSAN)

Scientific Research Methods (DR1)

AI for Finance (EAIF)

Media Economics

Political Economics

Applied Data Science

Web platforms

Recommender algorithms

Big Data Analytics

Applied Economics

Applied Econometrics

Data Science

Lead/PI: Hasler Foundation Project Grant: Using Large Language Models for Text-As-Data
Studies in the Social Sciences
(CHF 48,000)

Lead/PI: Swiss National Science Foundation (SNSF) Project Grant: Ideological Ad Targeting
in Consumer Markets and the Political Market Place
(CHF 341,000)

Lead/PI:GFF (HSG Basic Research Fund) Project Grant: Lobbying in Disguise
(CHF 98,000)

Lead/PI: Swiss National Science Foundation (SNSF) Project Grant: Consequences of Personalized Information Provision Online: Segregation, Polarization, and Radicalization
(CHF 340,000)

Carattini, S, U Matter and M Roesti (2026), ‘DP21489 Lobbying in Disguise‘, CEPR Discussion Paper No. 21489. CEPR Press, Paris & London.

Matter, Ulrich, Philine Widmer (2023). Who Owns the Online Media?. University of St.Gallen.
Available at SSRN.
Journal: Economic Policy).

Guerrero, Omar, Ulrich Matter (2021). Quantifying Vote Trading Through Network Reciprocity. SEPS Discussion Paper No. 2021-06, School of Economics and Political Science, University of St. Gallen. (Revised and resubmitted to Network Science).

Matter, Ulrich, and Roland Hodler (2025). Web Search Personalization during the US 2020 Election. American Economic Review: Insights 7 (4): 516–33.

Balles, Patrick, Matter, Ulrich, and Stutzer, A. (2025). The Political Economy of Attention: Media Salience, Voter Cognition, and Electoral Accountability. Journal of Economic Surveys, 40: 1–21.

Balles, Patrick, Ulrich Matter, Alois Stutzer (2024). Special Interest Groups Versus Voters

Balles, Patrick, Ulrich Matter, Alois Stutzer (2023). Television market size and political
accountability in the U.S. House of Representatives, European Journal of Political
Economy, 80: 102459.

Matter, Ulrich (2019). Big Public Data from the Programmable Web: Opportunities and
Challenges. HMD Praxis der Wirtschaftsinformatik (Special Issue on Big Data Analytics). 56(5): 1068–1081.

Matter, Ulrich, Alois Stutzer (2019). Does Public Attention Reduce the Influence of Moneyed Interests? Policy Positions on SOPA/PIPA Before and After the Internet Blackout. Economic Inquiry. 57(4): 1879-1895

Katz, Yarden, Ulrich Matter (2019). Metrics of Inequality: The Concentration of Resources
in the U.S. Biomedical Elite. Science as Culture. http://doi.org/10.1080/09505431.2019.
1694882 (PDF)

Matter, Ulrich (2018). RWebData: A High-Level Interface to the Programmable Web.
Journal of Open Research Software. 6(1): 1-12.

Matter, Ulrich, Alois Stutzer (2016). The Role of Party Politics in Medical Malpractice
Tort Reforms. European Journal of Political Economy. 42: 17-35.

Matter, Ulrich, Alois Stutzer (2015). pvsR: An Open Source Interface to Big Data on
the American Political Sphere. PLOS ONE. 10(7): 1-21.

Matter, Ulrich, Alois Stutzer (2015). The Role of Lawyer-Legislators in Shaping the
Law: Evidence from Voting on Tort Reforms. Journal of Law and Economics. 58(2):
357-384.

Matter, Ulrich (2025). An Introduction to Web Mining with Applications in R. Heidelberg:
Springer International Publishing.

Balles, Patrick, Matter, Ulrich, Stutzer, Alois (2025). The Political Economics of Attention.
In: Bjornskov, Christian and Jong-A-Pin, Richard (eds.). Elgar Encyclopedia of Public
Choice. Cheltenham: Edward Elgar Publishing, Forthcoming.

Matter, U. (2023). Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data. CRC Press. https://arbor.bfh.ch/handle/arbor/44979

Matter, Ulrich (2021). Data Pipelines in Big Data Analytics. In: D’Onofrio, S., and Meier,
A. (eds.). Big Data Analytics – Grundlagen, Fallbeispiele und Nutzungspotenziale.
Wiesbaden: Springer Vieweg.

Matter, Ulrich (2020). Big Public Data from the Programmable Web. Wiesbaden: Springer

Matter, Ulrich (2019). Ulrich Matter Recommends ‘Towards a Political Theory of the Firm’
by Luigi Zingales. In Frey, Bruno S., Schaltegger, Christoph A. (eds.). 21st Century
Economics – Economic Ideas You Should Read and Remember. Cham: Springer

Institute of Applied Data Science & Finance

Research Fellow am Centre for Research in Economics, Management, and the Arts (CREMA)

Research Fellow am Swiss Institute for International Economics
and Applied Economic Research (SIAW-HSG)

Affiliate Professor of Economics an der Universität St.Gallen