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David Reiner

Researcher at University of Cambridge

Publications -  142
Citations -  6222

David Reiner is an academic researcher from University of Cambridge. The author has contributed to research in topics: Stakeholder & Energy policy. The author has an hindex of 30, co-authored 134 publications receiving 4452 citations. Previous affiliations of David Reiner include University of East Anglia & Mizuho Information & Research Institute.

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Journal ArticleDOI

Stakeholder views on financing carbon capture and storage demonstration projects in China.

TL;DR: Chinese stakeholders (131) from 68 key institutions in 27 provinces were consulted in spring 2009 in an online survey of their perceptions of the barriers and opportunities in financing large-scale carbon dioxide capture and storage demonstration projects in China.
Journal ArticleDOI

Developing a set of regulatory analogs for carbon sequestration

TL;DR: In this article, the authors evaluate other long-term storage problems that have at least some of the characteristics of carbon storage, according to the nature of risk, the credibility of the solutions, the regulatory environment and the potential to either borrow from or influence other policy problems across geographic or issue boundaries.
Book ChapterDOI

Ocean Carbon Sequestration: A Case Study in Public and Institutional Perceptions

TL;DR: The U.S. Department of Energy (DOE), New Energy and Industrial Technology Development Organization of Japan (NEDO), and Norwegian Research Council (NRC) signed a Project Agreement for International Collaboration on CO2 Ocean Sequestration in Kyoto on December 4, 1997 as discussed by the authors.
Journal ArticleDOI

Political, economic, social, technological, legal and environmental dimensions of electric vehicle adoption in the United States: A social-media interaction analysis

TL;DR: In this article, a computational social science methodology was adopted using a mixed-method application of social network analysis and machine learning-based topic modeling through Latent Dirichlet Allocation algorithm on a 600,000-text corpus extracted from the Facebook posts.