Dr. Benedict Probst

bprobst

Ben is an affiliated researcher in the Group for Sustainability and Technology (SusTec) at the Department of Management, Technology and Economics of ETH Zurich.

Ben’s research focuses on how firms, markets, and policies accelerate the transition towards a net-zero emissions economy. He is particularly interested in carbon removal and taught a course on the topic at ETH Zurich. His research has been published in leading journals, such as DownloadNature Energy and DownloadNature Sustainability.

Ben received a BSc in International Business Administration (2014) from the DownloadRotterdam School of Management, an MSc in Environment and Development (2016) from DownloadThe London School of Economics (LSE) and an MPhil and PhD in Environmental Economics and Policy from the DownloadUniversity of Cambridge (2019).

Prior to joining SusTec, he advised governments and investors at the Oxford-based energy analytics start-up DownloadAurora Energy Research, Downloadthe German Development Bank, and the DownloadWorld Bank. He continues to advise start-ups like DownloadCEEZER and international organisations. Ben has also spent several years living and working in low- and middle-income countries, including Paraguay, Brazil and South Africa and speaks fluent German, English, Spanish, and Portuguese.

Ben has won multiple awards, including the Best Overall Performance Award at LSE and the Best PhD Research Prize from the Department of Land Economy, University of Cambridge. He received scholarships from DownloadCambridge University, Downloadthe German Exchange Service, Downloadthe German National Academic Foundation and Downloadthe Heinrich Böll Foundation.

In his leisure time, Ben likes to experiment with different cuisines (with varying approval from his family), enjoys long runs along Swiss rivers, and used to be a semi-talented football player.
 

Peer-​Reviewed Journal Articles

Conference Contributions (peer-reviewed)

  • Toetzke M., Re F., Probst B., Feuerriegel S., Hoffmann V., Anadon L. D. Mapping global innovation networks around clean energy technologies. Tackling Climate Change with Machine Learning: workshop at ICLR 2023 (proposals track). 2023.
  • Toetzke M., Probst B., Tatar Y., Feuerriegel S., Hoffmann V. Analyzing the global energy discourse with machine learning. Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022 (proposals track). 2022.

Policy reports (selection)

Technical Reports (selection)

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