Academic Freedom and International Research Collaboration: A Longitudinal Analysis of Global Network Evolution
<|reference_start|>Academic Freedom and International Research Collaboration: A Longitudinal Analysis of Global Network Evolution: The topic of academic freedom has come to the fore as nations around the world experience a wave of democratic backsliding. Institutions of higher education are often targets of autocrats who seek to suppress intellectual sources of social and political resistance. At the same time, international collaboration in scientific research continues unabated, and the network of global science grows larger and denser every year. This research analyzes the effects of academic freedom on international research collaboration (IRC) in a sample of 166 countries. Global international collaboration data are drawn from articles in Web of Science across a 30-year time frame (1993-2022) and are used to construct three separate IRC networks in science and technology (S&T), social sciences (SocSci), and arts and humanities (A&H). The Academic Freedom Index, covering the same time frame, is drawn from the Varieties of Democracy Project, as are numerous country-level control variables. Stochastic actor-oriented models (SAOM) are used to analyze the networks. The results show positive significant estimates for both direct effects and homophily effects of academic freedom on network evolution. These effects appear to increase in strength moving from the S&T network, to the SocSci network, and appear strongest in the A\&H network. However, tests of temporal heterogeneity show a significant decline in the relevance of academic freedom in the most recent period.<|reference_end|>
@article{whetsell2024academic,
    title={Academic Freedom and International Research Collaboration: A
  Longitudinal Analysis of Global Network Evolution},
    author={Travis A. Whetsell, Jen Sidorova},
    journal={arXiv preprint arXiv:2407.03968},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.03968},
    primaryClass={cs.SI}
}