Experience

Medizinische Hochschule Brandenburg

• Germany
• Higher Education
• 1 - 100 Employee

• Wissenschaftlicher Mitarbeiter mit akademischem Abschluss

  • Feb 2022 - Present

  Erfassen der Arzt‐Patienten‐Kommunikation und deren Veränderungen durch die SARS‐CoV‐2‐Pandemie Erfassen der Arzt‐Patienten‐Kommunikation und deren Veränderungen durch die SARS‐CoV‐2‐Pandemie



Medizinische Hochschule Brandeburg

• Brandenburg, Deutschland

• Studentische Hilfskraft

  • May 2021 - Feb 2022

  Forschungsprojekt CoronaCare: Eine ethnografische Studie zu Risiken und Potenzialen für die soziale Gesundheit während der Coronakrise Forschungsprojekt CoronaCare: Eine ethnografische Studie zu Risiken und Potenzialen für die soziale Gesundheit während der Coronakrise



Freie Universität Berlin

• Germany
• Research Services
• 700 & Above Employee

• Studentische Hilfskraft

  • Oct 2019 - Oct 2021

  Student Assistent at the method and theory workshop of the CRC 1171 "AFFECTIVE SOCIETIES: DYNAMICS OF SOCIAL COEXISTENCE IN MOBILE WORLDS" Student Assistent at the method and theory workshop of the CRC 1171 "AFFECTIVE SOCIETIES: DYNAMICS OF SOCIAL COEXISTENCE IN MOBILE WORLDS"



Freie Universität Berlin

• Germany
• Research Services
• 700 & Above Employee

• Freier Lektor

  • Nov 2018 - Feb 2019



Freie Universität Berlin

• Germany
• Research Services
• 700 & Above Employee

• Studentische Hilfskraft

  • Jan 2018 - Apr 2018

  The KPLEX Project partners have been funded under the European Commission’s Horizon 2020 research programme to undertake a 15-month investigation of the ways in which a focus on ‘big data’ in ICT research elides important issues about the information environment we live in. K-PLEX approaches this challenge in a comparative, multidisciplinary and multisectoral fashion, focusing on 3 key challenges to the knowledge creation capacity of big data approaches: the manner in which data that are not digitised or shared become ‘hidden’ from aggregation systems; the fact that data is human created, and lacks the objectivity often ascribed to the term; the subtle ways in which data that are complex almost always become simplified before they can be aggregated. It will approach these questions via a humanities research perspective, but using social science research tools to look at both the humanistic and computer science approaches to the term ‘data’ and its many possible meanings and implications. Show less