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Elena Simperl FBCS (born May 1978) is professor of computer science in the Department of Informatics at King's College London. She trained as a computer scientist at the Technical University of Munich and completed a PhD in knowledge engineering (Dr rer nat) at the Free University Berlin in 2007 and is best known for her work in human-machine collectives, with applications to crowdsourcing, citizen science, knowledge communities, and human data interaction, and for her leadership in data-driven innovation and data policy. According to AMiner, she is in the top 100 most influential scholars in knowledge engineering of the last decade, as well as in the Women in AI 2000 ranking.

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  • Elena Simperl (en)
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  • Elena Simperl FBCS (born May 1978) is professor of computer science in the Department of Informatics at King's College London. She trained as a computer scientist at the Technical University of Munich and completed a PhD in knowledge engineering (Dr rer nat) at the Free University Berlin in 2007 and is best known for her work in human-machine collectives, with applications to crowdsourcing, citizen science, knowledge communities, and human data interaction, and for her leadership in data-driven innovation and data policy. According to AMiner, she is in the top 100 most influential scholars in knowledge engineering of the last decade, as well as in the Women in AI 2000 ranking. (en)
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  • Elena Simperl (en)
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  • Elena Simperl (en)
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  • Knowledge engineering and human-machine collectives (en)
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  • Elena Simperl FBCS (born May 1978) is professor of computer science in the Department of Informatics at King's College London. She trained as a computer scientist at the Technical University of Munich and completed a PhD in knowledge engineering (Dr rer nat) at the Free University Berlin in 2007 and is best known for her work in human-machine collectives, with applications to crowdsourcing, citizen science, knowledge communities, and human data interaction, and for her leadership in data-driven innovation and data policy. According to AMiner, she is in the top 100 most influential scholars in knowledge engineering of the last decade, as well as in the Women in AI 2000 ranking. (en)
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