Katharina Burgdorf

ORCID: 0000-0002-0928-3313
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Research Areas
  • Cultural Industries and Urban Development
  • Social and Cultural Dynamics
  • Advanced Causal Inference Techniques
  • Cinema and Media Studies
  • Forecasting Techniques and Applications
  • Explainable Artificial Intelligence (XAI)
  • Meta-analysis and systematic reviews
  • Open Source Software Innovations
  • Qualitative Research Methods and Ethics
  • Sport and Mega-Event Impacts
  • Art History and Market Analysis
  • Crafts, Textile, and Design
  • Music History and Culture
  • Innovative Human-Technology Interaction
  • Data Analysis and Archiving
  • Qualitative Comparative Analysis Research
  • Decision-Making and Behavioral Economics

University of Bremen
2024-2025

University of Mannheim
2022

Nate Breznau Eike Mark Rinke Alexander Wuttke Hung Hoang Viet Nguyen Muna Adem and 95 more Jule Adriaans Amalia Álvarez-Benjumea Henrik Kenneth Andersen Daniel Auer Flávio Azevedo Oke Bahnsen Dave Balzer Gerrit Bauer Paul Cornelius Bauer Markus Baumann Sharon Baute Verena Benoit Julian Bernauer Carl Berning Anna Berthold Felix S. Bethke Thomas Biegert Katharina Blinzler Johannes N. Blumenberg Licia Bobzien Andrea Bohman Thijs Bol Amie Bostic Zuzanna Brzozowska Katharina Burgdorf Klaus Burger Kathrin Busch Juan Carlos Castillo Nathan Chan Pablo Christmann Roxanne Connelly Christian S. Czymara Elena Damian Alejandro Ecker S. Kellogg Maureen A. Eger Simon Ellerbrock Anna Forke Andrea Förster Chris Gaasendam Konstantin Gavras Vernon Gayle Theresa Gessler Timo Gnambs Amélie Godefroidt Max Grömping Martin Groß Stefan Gruber Tobias Gummer Andreas Hadjar Jan Paul Heisig Sebastian Hellmeier Stefanie Heyne Magdalena Hirsch Mikael Hjerm Oshrat Hochman Andreas Hövermann Sophia Hunger Christian Hunkler Nora Huth-Stöckle Zsófia S. Ignácz Laura Jacobs Jannes Jacobsen Bastian Jaeger Sebastian Jungkunz Nils Jungmann Mathias Kauff Manuel Kleinert Julia Klinger Jan-Philipp Kolb Marta Kołczyńska John Kuk Katharina Kunißen Dafina Kurti Sinatra Alexander Langenkamp Philipp M. Lersch Lea-Maria Löbel Philipp Lutscher Matthias Mader Joan E. Madia Natalia Malancu Luis Maldonado Helge Marahrens Nicole Martin Paul Martinez Jochen Mayerl Oscar J. Mayorga Patricia McManus Kyle McWagner Cecil Meeusen Daniel Meierrieks Jonathan Mellon Friedolin Merhout Samuel Merk Daniel Meyer

This study explores how researchers’ analytical choices affect the reliability of scientific findings. Most discussions problems in science focus on systematic biases. We broaden lens to emphasize idiosyncrasy conscious and unconscious decisions that researchers make during data analysis. coordinated 161 73 research teams observed their as they used same independently test prominent social hypothesis: greater immigration reduces support for policies among public. In this typical case...

10.1073/pnas.2203150119 article EN cc-by Proceedings of the National Academy of Sciences 2022-10-28
Nate Breznau Eike Mark Rinke Alexander Wuttke Muna Adem Jule Adriaans and 95 more Esra Akdeniz Amalia Álvarez-Benjumea Henrik Kenneth Andersen Daniel Auer Flávio Azevedo Oke Bahnsen Ling Bai Dave Balzer Paul Cornelius Bauer Gerrit Bauer Markus Baumann Sharon Baute Verena Benoit Julian Bernauer Carl Berning Anna Berthold Felix S. Bethke Thomas Biegert Katharina Blinzler Johannes N. Blumenberg Licia Bobzien Andrea Bohman Thijs Bol Amie Bostic Zuzanna Brzozowska Katharina Burgdorf Klaus Burger Kathrin Busch Juan Carlos Castillo Nathan Chan Pablo Christmann Roxanne Connelly Christian S. Czymara Elena Damian Eline A. de Rooij Alejandro Ecker S. Kellogg Christina Eder Maureen A. Eger Simon Ellerbrock Anna Forke Andrea Förster Danilo Freire Christiaan Reinier Gaasendam Konstantin Gavras Vernon Gayle Theresa Gessler Timo Gnambs Amélie Godefroidt Max Grömping Matthias Gross Stefan Gruber Tobias Gummer Andreas Hadjar Verena Halbherr Jan Paul Heisig Sebastian Hellmeier Stefanie Heyne Magdalena Hirsch Mikael Hjerm Oshrat Hochman Jan H. Höffler Andreas Hövermann Sophia Hunger Christian Hunkler Nora Huth-Stöckle Zsófia S. Ignácz Sabine Israel Laura Jacobs Jannes Jacobsen Bastian Jaeger Sebastian Jungkunz Nils Jungmann Jennifer Kanjana Mathias Kauff Salman Khan Sayak Khatua Manuel Kleinert Julia Klinger Jan-Philipp Kolb Marta Kołczyńska John Kuk Katharina Kunißen Dafina Kurti Sinatra Alexander Langenkamp Robin C. Lee Philipp M. Lersch David Liu Lea-Maria Löbel Philipp Lutscher Matthias Mader Joan E. Madia Natalia Malancu Luis Maldonado Helge Marahrens

This study investigates researcher variability in computational reproduction, an activity for which it is least expected. Eighty-five independent teams attempted numerical replication of results from original policy preferences and immigration. Reproduction were randomly grouped into a ‘transparent group’ receiving code or ‘opaque only method description no code. The transparent group mostly verified (95.7% same sign p -value cutoff), while the opaque had less success (89.3%). Second-decimal...

10.1098/rsos.241038 article EN cc-by Royal Society Open Science 2025-03-01
Nate Breznau Eike Mark Rinke Alexander Wuttke Muna Adem Jule Adriaans and 95 more Amalia Álvarez-Benjumea Henrik Kenneth Andersen Daniel Auer Flávio Azevedo Oke Bahnsen Dave Balzer Gerrit Bauer Paul Cornelius Bauer Markus Baumann Sharon Baute Verena Benoit Julian Bernauer Carl Berning Anna Berthold Felix S. Bethke Thomas Biegert Katharina Blinzler Johannes N. Blumenberg Licia Bobzien Andrea Bohman Thijs Bol Amie Bostic Zuzanna Brzozowska Katharina Burgdorf Klaus Burger Kathrin Busch Juan Carlos Castillo Nathan Chan Pablo Christmann Roxanne Connelly Christian S. Czymara Elena Damian Alejandro Ecker S. Kellogg Maureen A. Eger Simon Ellerbrock Anna Forke Andrea Förster Chris Gaasendam Konstantin Gavras Vernon Gayle Theresa Gessler Timo Gnambs Amélie Godefroidt Max Grömping Martin Groß Stefan Gruber Tobias Gummer Andreas Hadjar Jan Paul Heisig Sebastian Hellmeier Stefanie Heyne Magdalena Hirsch Mikael Hjerm Oshrat Hochman Andreas Hövermann Sophia Hunger Christian Hunkler Nora Huth-Stöckle Zsófia S. Ignácz Laura Jacobs Jannes Jacobsen Bastian Jaeger Sebastian Jungkunz Nils Jungmann Mathias Kauff Manuel Kleinert Julia Klinger Jan-Philipp Kolb Marta Kołczyńska John Kuk Katharina Kunißen Dafina Kurti Sinatra Alexander Greinert Philipp M. Lersch Lea-Maria Löbel Philipp Lutscher Matthias Mader Joan E. Madia Natalia Malancu Luis Maldonado Helge Marahrens Nicole Martin Paul Martinez Jochen Mayerl Oscar J. Mayorga Patricia McManus Kyle Wagner Cecil Meeusen Daniel Meierrieks Jonathan Mellon Friedolin Merhout Samuel Merk Daniel Meyer Leticia Micheli

This study explores how researchers’ analytical choices affect the reliability of scientific findings. Most discussions problems in science focus on systematic biases. We broaden lens to include conscious and unconscious decisions that researchers make during data analysis may lead diverging results. coordinated 161 73 research teams observed their as they used same independently test prominent social hypothesis: greater immigration reduces support for policies among public. In this typical...

10.31222/osf.io/cd5j9 preprint EN 2021-03-24

How does an artwork's referencing of creative content affect its peer recognition? Artists constantly seek to balance the tension between originality and conformity. Previous research argues that peers tend reward socially well-embedded artists signal community involvement literacy established conventions. Another stream sociological criteria for recognition are not fixed but depend on a cultural field's legitimacy. This paper examines emerging shifting standards throughout 70 years in U.S....

10.1016/j.poetic.2024.101887 article EN cc-by Poetics 2024-04-01

How do social and stylistic relations in cultural fields coevolve under changing contextual conditions? Artistic communities cohere through collaborations shared orientations among artists, but little is known about the structure interplay of these relational processes. The authors contribute to previous studies by conducting a large-scale investigation networks Hollywood filmmakers. In particular, examine how between artists’ references changed throughout Hollywood’s history. Using data...

10.1177/23780231241257334 article EN cc-by-nc Socius Sociological Research for a Dynamic World 2024-01-01

Abstract The global film industry is shaped by gender inequality. Women are structurally underrepresented in professional roles that include high levels of creative and economic decision-making power, such as directors, writers, producers. In our study, we ask to what extent the festival sector, a prestigious sub-field industry, structured biases. To address this question, conceptualize sector one-mode network consisting festivals connected through screening same film, two-mode films...

10.1007/s41109-022-00457-z article EN cc-by Applied Network Science 2022-04-05

Creative ML tools are collaborative systems that afford artistic creativity through their myriad interactive relationships. We propose using "assemblage thinking" to support analyses of creative by approaching it as a system in which the elements people, organizations, culture, practices, and technology constantly influence each other. model these interactions "coordinating elements" give rise social political characteristics particular context, call attention three dynamic whose provide...

10.1145/3637315 article EN cc-by Proceedings of the ACM on Human-Computer Interaction 2024-04-17

How can researchers from the creative ML/AI community and sociology of culture engage in fruitful collaboration? do both fields think (differently) about creativity production work? While ML considers as a matter technical expertise acumen, social scientists have emphasized role embeddedness cultural production. This perspective aims to bridge disciplines proposes conceptual methodological toolkit for collaboration. We provide systematic review recent research offer three perspectives around...

10.48550/arxiv.2205.13683 preprint EN cc-by-nc-nd arXiv (Cornell University) 2022-01-01
Nate Breznau Eike Mark Rinke Alexander Wuttke Muna Adem Jule Adriaans and 95 more Amalia Álvarez-Benjumea Henrik Kenneth Andersen Daniel Auer Flávio Azevedo Oke Bahnsen Dave Balzer Gerrit Bauer Paul F. Bauer Markus Baumann Sharon Baute Verena Benoit Julian Bernauer Carl Berning Anna Berthold Felix S. Bethke Thomas Biegert Katharina Blinzler Johannes N. Blumenberg Licia Bobzien Andrea Bohman Thijs Bol Amie Bostic Zuzanna Brzozowska Katharina Burgdorf Klaus Burger Kathrin Busch Juan Carlos Castillo Nathan Chan Pablo Christmann Roxanne Connelly Christian S. Czymara Elena Damian Alejandro Ecker S. Kellogg Maureen A. Eger Simon Ellerbrock Anna Forke Andrea Förster Chris Gaasendam Konstantin Gavras Vernon Gayle Theresa Gessler Timo Gnambs Amélie Godefroidt Max Grömping Martin Groß Stefan Gruber Tobias Gummer Andreas Hadjar Jan Paul Heisig Sebastian Hellmeier Stefanie Heyne Magdalena Hirsch Mikael Hjerm Oshrat Hochman Andreas Hövermann Sophia Hunger Christian Hunkler Nora Huth-Stöckle Zsófia S. Ignácz Laura Jacobs Jannes Jacobsen Bastian Jaeger Sebastian Jungkunz Nils Jungmann Mathias Kauff Manuel Kleinert Julia Klinger Jan-Philipp Kolb Marta Kołczyńska John Kuk Katharina Kunißen Dafina Kurti Sinatra Alexander Greinert Philipp M. Lersch Lea-Maria Löbel Philipp Lutscher Matthias Mader Joan E. Madia Natalia Malancu Luis Maldonado Helge Marahrens Nicole Martin Paul Martinez Jochen Mayerl Oscar J. Mayorga Patricia McManus Kyle McWagner Cecil Meeusen Daniel Meierrieks Jonathan Mellon Friedolin Merhout Samuel Merk Daniel Meyer Leticia Micheli

This study explores how researchers’ analytical choices affect the reliability of scientific findings. Most discussions problems in science focus on systematic biases. We broaden lens to include conscious and unconscious decisions that researchers make during data analysis may lead diverging results. coordinated 161 73 research teams observed their as they used same independently test prominent social hypothesis: greater immigration reduces support for policies among public. In this typical...

10.31222/osf.io/cd5j9_v1 preprint EN 2021-03-24
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