M
Mrinalini Kochupillai
Researcher at Technische Universität München
Publications - 30
Citations - 182
Mrinalini Kochupillai is an academic researcher from Technische Universität München. The author has contributed to research in topics: Intellectual property & TRIPS architecture. The author has an hindex of 6, co-authored 24 publications receiving 91 citations. Previous affiliations of Mrinalini Kochupillai include Max Planck Society.
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Journal ArticleDOI
Law, Business and Legitimacy
TL;DR: In this article, the authors formulate thought-provoking ideas about legitimacy and close neighbour terms, such as power, recognition, trust, justification and criticism, to answer the question of how business ethics relates to law.
Peer ReviewDOI
Earth Observation and Artificial Intelligence: Understanding emerging ethical issues and opportunities
TL;DR: In this article , the authors provide an overview of the key ethical issues emerging in this field, with concrete examples from within EO/RS to explain these issues, and a first road map (flowchart) that scientists can use to identify ethical issues in their ongoing research.
Is UPOV 1991 a Good Fit for Developing Countries? Re-thinking ‘Market Failure’ & ‘Public Goods Theory’ in the Plant Breeding Sector
TL;DR: In this paper, the authors revisited the market failure theory in the context of plant variety protection regimes in developing countries, with specific reference to the Indian regime in comparison with UPOV 1991, and argued that knowledge contained in formally bred/improved plant varieties are such that do not meet the criteria of non-excludability that characterizes public goods.
Journal ArticleDOI
Artificial intelligence to advance Earth observation: a perspective
Devis Tuia,Konrad Schindler,Begum Demir,Gustavo Camps-Valls,Xiao Xiang Zhu,Mrinalini Kochupillai,Savso Dvzeroski,Jan N. van Rijn,Holger H. Hoos,F. Del Frate,Mihai Datcu,Jorge-Arnulfo Quian'e-Ruiz,Volker Markl,Bertrand Le Saux,Rochelle Schneider +14 more
TL;DR: A bird's eye view of the essential scientific tools and approaches informing and supporting the transition from raw Earth Observations (EO) data to usable EO-based information is given in this article .