ITU
Carina Antonia Hallin

Carina Antonia Hallin

Postdoc

IT University of Copenhagen
Rued Langgaards Vej 7
DK-2300 Copenhagen S
Denmark

Building: 3D15

Phone: +45 7218 5057

Information Desk: 72185000

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Carina Antonia Hallin is a scholar in the emergent science of collective intelligence at the IT University of Copenhagen and a Research Affiliate at the MIT Center for Collective Intelligence (CCI), Massachusetts Institute of Technology.

Her research interests include collective intelligence, crowd predictions, machine learning/AI, and decision support systems for organizations and governments.

Hallin has published in the disciplines of collective intelligence, decision science, artificial intelligence, computer science, strategy and management, and her work is cited in the Forbes magazine. Hallin has continuously raised funding for collective intelligence research, primary as a principal investigator.

Before joining the IT University of Copenhagen in 2020 and founding the Collective Intelligence Group, Hallin was employed at the Copenhagen Business School. At CBS she founded and headed the Collective Intelligence Unit employing eleven research staff from January 2016 to August 2020.

Hallin is a member of the global community of collective intelligence scientists and is a regularly invited speaker by international and national public and private organizations, such as the OECD and the National Endowment for Science, Technology and the Arts (NESTA) in London.   

In October 2019, she was appointed by the Collective Intelligence Conference Steering Committee to be the Multi-Site Conference Chair for the Association for Computer Machinery’s first virtual Collective Intelligence Conference 2020.

Based on her Ph.D. thesis, a series of papers and books from 2009 to 2017 on collective intelligence, and the harnessing of employee sensing and intuition for decision-making, she co-founded the spinoff and tech company Mindpool.com with serial entrepreneur Mik Thobo-Carlsen and architect Bjarke Ingels. The spinoff has received legal support from the Copenhagen Business School, and funding from the Innovation Fund Denmark, and other investors.          

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    Research areas

  • Collective intelligence, Crowd predictions, Decision-making, Intuition, Machine Learning/AI, Policy-making

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