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Tackling the Lack of Territorial Diversity: Lessons from a Two-Year Supply-Side Intervention in Brazil

Published online by Cambridge University Press:  09 November 2026

Victor Araújo
Affiliation:
University of Reading, United Kingdom
Malu A. C. Gatto
Affiliation:
University College London, United Kingdom
Magna Inácio
Affiliation:
Universidade Federal de Minas Gerais, Brazil
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Abstract

Political science increasingly acknowledges the importance of diversifying the discipline, yet authors based in the Global South remain underrepresented in top international journals. Addressing this imbalance requires tackling both demand- and supply-side factors. Focusing on supply-side factors, we piloted the Writing Academy, a training and mentorship program for Brazilian political science doctoral students. Drawing on survey data from applicants, we examine the main barriers to internationalizing their research. We find that a lack of knowledge of the rules for international publications—not language—is the primary barrier to submissions to international journals. Pre- and post-intervention survey data indicate that the Writing Academy reduced unfamiliarity with academic journals and increased participants’ confidence in publishing their research in international journals. These findings suggest that targeted training and mentorship can reduce supply-side inequalities in global scholarly participation.

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Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Figure 1 New Submissions to APSR by Location of Corresponding Author, 2016–2024Prepared by the authors with data from the American Political Science Review Annual Editorial Report (Tripp and Dion 2024). The y-axis shows the percentage composition of submissions by corresponding authors from different regions across two editorial teams (2016–2020 and 2020–2024).Figure 1 long description.

Figure 1

Figure 2 Writing Academy Participants’ ProfilePrepared by the authors with survey data collected as part of the Writing Academy (N=92). The y-axis shows the percentage composition of each group (selected and not selected), indicating the proportion of applicants who are/are not from an institution in the Southeast; are/are not women; are/are not nonwhite; have/do not have a master’s in humanities or social sciences; receive/do not receive funding for pursuing a PhD; entered/did not enter their programs as part of affirmative-action policies.Figure 2 long description.

Figure 2

Figure 3 Barriers to Publishing in International Peer-Reviewed JournalsPrepared by the authors with survey data collected as part of the Writing Academy (N=92). The x-axis shows the percentage of respondents who selected each of the seven barriers as the top (first-ranked) barrier to publishing in international English-language journals. “Selected” refers to applicants admitted to the Writing Academy and “Not selected” denotes those not admitted.Figure 3 long description.

Figure 3

Figure 4 Familiarity with Selected Top General Journals and High-Impact Field JournalsPrepared by the authors with survey data collected as part of the Writing Academy. T0 refers to the data collected during the application process (N=92) and T1 (N=15) and T2 (N=15) refer to the data collected from selected participants in August 2024 and August 2025, respectively. The y-axis shows the percentage of respondents who selected “I don’t know this journal” when asked about the difficulty of having a paper accepted in the (A) American Political Science Review (APSR), (B) American Journal of Political Science (AJPS), (C) Journal of Politics (JoP), (D) Comparative Political Studies (CPS), (E) Latin American Research Review (LARR), and (F) Brazilian Political Science Review (BPSR). “Selected” refers to applicants admitted to the Writing Academy and “Not selected” denotes those not admitted.Figure 4 long description.

Figure 4

Figure 5 Levels of Confidence in PublishingPrepared by the authors with survey data collected as part of the Writing Academy. T0 refers to the data collected during the application process (N=92) and T1 (N=15) and T2 (N=15) refer to the data collected from selected participants in August 2024 and August 2025, respectively. The y-axis shows the percentage of respondents who stated that they would be confident or highly confident to publish in (A) peer-reviewed Brazilian journals, (B) peer-reviewed international journals, (C) chapters from the PhD dissertation in English, and (D) the PhD dissertation as a book in English.Figure 5 long description.

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