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  Technology, geography and collaboration networks: assessing global innovation and research funding patterns for carbon removal

Müller-Hansen, F., Fritz, L., Lück, S., Sovacool, B. K., Minx, J. C. (2025): Technology, geography and collaboration networks: assessing global innovation and research funding patterns for carbon removal. - Environmental Research Communications, 7, 9, 095008.
https://doi.org/10.1088/2515-7620/ae0099

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Müller-Hansen_2025_Environ._Res._Commun._7_095008.pdf (Publisher version), 3MB
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 Creators:
Müller-Hansen, Finn1, 2, Author                 
Fritz, Livia3, Author
Lück, Sarah1, Author                 
Sovacool, Benjamin K.3, Author
Minx, Jan C.1, Author                 
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              
2Submitting Corresponding Author, Potsdam Institute for Climate Impact Research, ou_29970              
3External Organizations, ou_persistent22              

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Free keywords: carbon removal, climate mitigation, research funding, innovation
 Abstract: In addition to strong global emission cuts, experts see the rapid upscaling of carbon dioxide removal
(CDR) as paramount for reaching the Paris agreement target. A comprehensive view of research and
innovation dynamics is crucial for the rigorous assessment of the potentials of CDR options and for
guiding strategies to close knowledge gaps. Here, we investigate funding patterns in CDR research
across time, geographies and fields of research and identify key organizations and actors in
collaboration networks. We use comprehensive search queries and machine learning to identify more
than 6000 research grants on twelve different CDR options. Research funding increased strongly over
the past 30 years (21% p.a.), more than funding for climate science and technology. In comparison to
carbon capture and storage, CDR receives a higher number of grants, but less total funding, estimated
at 4.2 bn$. Funding is highly concentrated in Europe and North America and mostly directed towards
natural, engineering and agricultural science, with little but increasing support for social science.
European funding seems to encourage research in larger consortia. However, our analysis finds little
funding specifically targeted at CDR, highlighting potentials for strategic initiatives for accelerating
innovation in CDR.

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Language(s): eng - English
 Dates: 2025-09-122025-09-12
 Publication Status: Finally published
 Pages: 19
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/2515-7620/ae0099
PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
Working Group: Evidence for Climate Solutions
MDB-ID: No data to archive
Research topic keyword: CO2 Removal
Regional keyword: Europe
Model / method: Machine Learning
Model / method: Quantitative Methods
OATYPE: Gold Open Access
 Degree: -

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Project name : GENIE
Grant ID : 95154
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Environmental Research Communications
Source Genre: Journal, SCI, Scopus, oa
 Creator(s):
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Publ. Info: -
Pages: - Volume / Issue: 7 (9) Sequence Number: 095008 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/190326
Publisher: IOP Publishing