Big Team Science for language science: opportunities and challenges
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Faytak, Matthew1
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Kadavá, Šárka2, 3
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Xu, Chenzi4, 5
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Özsoy, Onur6
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Akumbu, Pius W.7
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Amengual, Mark8
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Arvaniti, Amalia9
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Belz, Malte10
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Bevivino, Dorotea11, 12
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Cardoso, Amanda13
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Casillas, Joseph Vincent14
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Caudrelier, Tiphaine15
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Ćwiek, Aleksandra16, 17
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Dokovova, Marie18
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Dutta, Indranil19
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Egurtzegi, Ander20, 21
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Forst, Hadley22
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Foulkes, Paul23
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Garcia, Rowena2, 24
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Grice, Martine6
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Hanulíková, Adriana25, 26
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Hellmuth, Sam23
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Kaźmierski, Kamil27
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Li, Xiang28
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Lorenzen, Janne29
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Mori, Miki30, 31
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Nycz, Jennifer32
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Punnoose, Reenu33
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Quesada Vázquez, Leticia34
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Rebernik, Teja35, 36
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Sawicka-Stępińska, Brygida37
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Sehyr, Zed38
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Setter, Jane39
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Spaniol, Malin40, 41
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Urrestarazu-Porta, Iñigo42, 43
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Vella, Alexandra44
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Zhang, Cong45
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Zygis, Marzena Iwona46, 10
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Buchanan, Erin Michellè47
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Roettger, Timo B.48
- 1. University at Buffalo (United States of America)
- 2. Leibniz-Zentrum Allgemeine Sprachwissenschaft, Berlin (Germany)
- 3. Radboud University, Nijmegen (The Netherlands)
- 4. Nanyang Technological University (Singapore)
- 5. University of Oxford (United Kingdom)
- 6. University of Cologne (Germany)
- 7. CNRS - LLACAN Villejuif (France)
- 8. University of California, Santa Cruz (United States of America)
- 9. Radboud University (The Netherlands)
- 10. Humboldt-Universität zu Berlin (Germany)
- 11. Université Paris Cité (France)
- 12. CNRS - LLF UMR 7110 (France)
- 13. University of British Columbia (Canada)
- 14. Rutgers University (United States of America)
- 15. Laboratoire d'Etude des Mécanismes Cognitifs, Université Lumière Lyon 2 (France)
- 16. Center for Language Evolution Studies, Nicolaus Copernicus University in Toruń (Poland)
- 17. Institute of Advanced Studies, Nicolaus Copernicus University in Toruń (Poland)
- 18. University of Strathclyde (United Kingdom)
- 19. Jadavpur University (India)
- 20. Centre National de la Recherche Scientifique (CNRS) (France)
- 21. IKER UMR-5478 (France)
- 22. University of Arizona (United States of America)
- 23. University of York (United Kingdom)
- 24. University of the Philippines Manila (Philippines)
- 25. Heidelberg University (Germany)
- 26. University of Freiburg (Germany)
- 27. Adam Mickiewicz University, Poznań (Poland)
- 28. Nanfang College Guangzhou (P. R. China)
- 29. Johannes Gutenberg University Mainz (Germany)
- 30. Université de La Réunion (France)
- 31. EA 7387 Dire (France)
- 32. Georgetown University (United States of America)
- 33. Indian Institute of Technology Palakkad (India)
- 34. Nebrija University (Spain)
- 35. Laboratoire de Phonétique et Phonologie (CNRS, Université Sorbonne Nouvelle) (France)
- 36. Vrije Universiteit Brussel (Belgium)
- 37. Adam Mickiewicz University in Poznań (Poland)
- 38. Chapman University (United States of America)
- 39. University of Reading (United Kingdom)
- 40. University Hospital Cologne (Germany)
- 41. IfL Phonetik, University of Cologne (Germany)
- 42. CNRS - IKER UMR 5478 (France)
- 43. University of the Basque Country & University of Pau and Country of Adour (Spain & France)
- 44. University of Malta (Malta)
- 45. Newcastle University (United Kingdom)
- 46. Leibniz-ZAS (Germany)
- 47. Harrisburg University of Science and Technology (United States of America)
- 48. University of Oslo (Norway)
Description
Abstract: The present paper advocates for incorporating Big Team Science practices into the language sciences. Big Team Science is a promising mode of collaborative research in which top-down coordination directs efforts by a large number of researchers from different institutions towards a common scientific goal. The redistribution of resources and division of labor enabled by Big Team Science may enable researchers to increase methodological rigor, systematically explore claims across a wider sample of languages, and to diversify both the languages studied and the researchers engaged. However, implementing Big Team Science practices is not without challenges, some of which are unique to the language sciences. We suggest strategies and best practices for adapting to these challenges, including theoretical and methodological pluralism, variation in conditions among data collection sites, and navigating a trade-off between maximizing methodological rigor and ability to engage with the most inclusive, typologically broad language samples.
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Additional details
Funding
- Leverhulme Trust
- The rise and fall of a tone
- European Research Council
- ERC-ADG-835263
- Agence Nationale de la Recherche
- Laboratory of Excellence Empirical Foundations of Linguistics (Labex-EFL) ANR-10-LABX-0083
- Deutsche Forschungsgemeinschaft
- FU791/9-1
- The Research Council of Norway
- ICONIC 350026
- Deutsche Forschungsgemeinschaft
- CW 10/1-1