Mirta Galesic

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Mirta Galesic
Alma materUniversity of Maryland, College Park
University of Zagreb
University of Michigan
Scientific career
InstitutionsMax Planck Institute for Human Development
Santa Fe Institute
University of Maryland, College Park

Mirta Galesic is a Croatian American psychologist who is the Cowan Chair in Human Social Dynamics at the Santa Fe Institute. She serves as a member of the faculty at the Complexity Science Hub Vienna.

Early life and education[edit]

Galesic was born in Croatia. She was an undergraduate student at the University of Zagreb, where she studied psychology.[1] She moved to the theory of marketing, and completed a master's degree.[citation needed] Galesic earned a doctorate in psychology at the University of Zagreb in 2004.[2] In 2004, Galesic left Croatia and joined the University of Michigan,[2] where she studied survey methodology. After completing her graduate studies, Galesic moved to the University of Maryland, College Park. She joined the Max Planck Institute for Human Development as a postdoctoral research fellow.[citation needed]

Research and career[edit]

Galesic was appointed to the faculty at the Max Planck Institute for Human Development in 2008. She remained in Berlin until 2015, when she was made Professor at the Santa Fe Institute.[citation needed]

Galesic investigates how cognitive mechanisms interact with their external environments to produce complex phenomena.[3] She is interested in how cognitive bias in social judgements emerge.[4] Additionally, Galesic has studied how people understand and process uncertainty, as well as how they make decisions.[5][6] She has investigated how researchers can obtain reliable data from social networks.[5][7] She calls her approach "human social sensing", that is, asking people to gather information on others in their social networks.[5][8][9] She studied how Twitter users convey their political opinions, and found that in groups of similar thinking people, Twitter uses were more likely to overtly share their opinions, whilst when they were in mixed groups they were likely to use covert messaging.[10] Alongside her work on securing accurate information from social media, Galesic studied hate and counterspeech on Twitter.[9]

Selected publications[edit]

  • M. Galesic; M. Bosnjak (28 May 2009). "Effects of Questionnaire Length on Participation and Indicators of Response Quality in a Web Survey". Public Opinion Quarterly. 73 (2): 349–360. doi:10.1093/POQ/NFP031. ISSN 0033-362X. Wikidata Q59161914.
  • S. Fricker (1 September 2005). "An Experimental Comparison of Web and Telephone Surveys". Public Opinion Quarterly. 69 (3): 370–392. doi:10.1093/POQ/NFI027. ISSN 0033-362X. Wikidata Q98853083.
  • Lyndal J Trevena; Brian J Zikmund-Fisher; Adrian Edwards; et al. (29 November 2013). "Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers". BMC Medical Informatics and Decision Making. 13 Suppl 2: S7. doi:10.1186/1472-6947-13-S2-S7. ISSN 1472-6947. PMC 4045391. PMID 24625237. Wikidata Q30579901.

References[edit]

  1. ^ "Mirta GALESIC". European Forum Alpbach. Retrieved 2022-05-07.
  2. ^ a b "Mirta Galesic | Harding-Zentrum für Risikokompetenz". www.hardingcenter.de. Retrieved 2022-05-07.
  3. ^ "Constructing — and deconstructing — collectives | Santa Fe Institute". www.santafe.edu. Retrieved 2022-05-07.
  4. ^ "Physicists unify sociological theories that explain social stability". EurekAlert!. Retrieved 2022-05-07.
  5. ^ a b c Yang, Vicky Chuqiao; Galesic, Mirta; McGuinness, Harvey; Harutyunyan, Ani (2021-08-31). "Dynamical system model predicts when social learners impair collective performance". Proceedings of the National Academy of Sciences. 118 (35): e2106292118. Bibcode:2021PNAS..11806292Y. doi:10.1073/pnas.2106292118. ISSN 0027-8424. PMC 8536379. PMID 34446556.
  6. ^ Staley, Oliver (9 May 2018). "How to optimize teams for any decision-making process". Quartz. Retrieved 2022-05-07.
  7. ^ "A new model for group decision-making shows how 'followers' can influence the outcome". ScienceDaily. Retrieved 2022-05-07.
  8. ^ "Researchers look to human 'social sensors' to better predict elections and other trends". ScienceDaily. Retrieved 2022-05-07.
  9. ^ a b "GDPR Support". www.ajc.com. Retrieved 2022-05-07.
  10. ^ "Covert and overt political signaling online | Santa Fe Institute". www.santafe.edu. Retrieved 2022-05-07.