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Luisa Cadonau, M.Sc.
Research Associate
Contact:
Max-von-Laue-Straße 1
28359 Bremen, Germany
WIWI 2 Building, Room F 2380
phone: +49 (0)421 218-66661
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Career
Current Position
from 04/2023 University of Bremen, Germany
Research Associate (PhD student)
in the Diginomics Research Group
Previous Positions
10/2020-02/2023 Generali Deutschland AG, Germany
Working Student HR Development & Talent Management
04/2019-09/2019 Robert Bosch Automotive Steering Bremen GmbH, Germany
Intern in Human Resource Management
Education
2020-2023 University of Bremen, Germany
Master of Science in Business Psychology
2022 Universitetet i Oslo, Norway
Semester abroad
2016-2020 Leuphana University Lüneburg, Germany
Bachelor of Science in Business Administration and Business Psychology
Graduate Group
Luisa Cadonau is part of the Graduate Group Digitization of the Faculty of Economics at the University of Bremen.
The Graduate Group investigates current economic issues concerning the Digitization of labor, financial, and product markets. Twelve projects deal with ethical, socio-political, industrial-psychological, economic and policy-relevant issues relating to new digital markets. The content of the projects includes questions related to Work 4.0, Blockchain, Digital Finance, Artificial Intelligence and Platform Economics.
Luisa Cadonau is working on a project relating to Human Machine Interaction and Workforce-Analytics as part of the graduate group.
Teamwork in a Mars habitat
Luisa Cadonau is a member of the project team "Team performance of human-human and human-agent teams in a Mars habitat under various scenarios".
As part of the 3-part seed project on "The living Habitat" within the MAPEX cluster initiative "Researching pathways toward a long-term sustainable, ethically acceptable human settlement of Mars" and in cooperation with ZARM and Sustainable Communication Networks, the project "Team performance in extreme environments" investigates how human users integrate into the technological environment of the habitat on Mars and how their team processes and performance can be improved by adaptations of the technological environment and in cooperation with an artificial intelligence.