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Record W4413284785 · doi:10.1093/ijnp/pyaf052.241

339. BARRIERS TO INTERNATIONAL RESEARCH IN NEUROPSYCHOPHARMACOLOGY FOR EARLY CAREER RESEARCHERS – PRELIMINARY DATA FROM THE 1ST CINP FELLOWSHIP PROGRAM SURVEY

2025· article· en· W4413284785 on OpenAlexaff
Michaela Krivosova, Gillian Kemp, Daniele Cavaleri, Luís Afonso Fernandes, Edison Leung, Rohini De Alwis Seneviratne, R Carneiro Cordeiro, Diala Samarani Moussa, Asilay Şeker

Bibliographic record

VenueThe International Journal of Neuropsychopharmacology · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsNeuropsychopharmacologyPsychologyMedical educationApplied psychologyMedicineNeuroscience

Abstract

fetched live from OpenAlex

Abstract Background International research collaboration in the field of neuropsychopharmacology offers immense potential to bridge the gap between cutting-edge neuroscience discoveries and their application in clinical psychiatry. Despite the rapid advancements in understanding brain function and psychotropic mechanisms, a disconnect persists between the latest neuroscientific evidence and its integration into everyday psychiatric practice. For early career researchers (ECRs), engaging in international research can be a pivotal step toward fostering interdisciplinary collaboration and translating research into clinical innovations. However, significant barriers impede their ability to contribute effectively on a global scale. Aims & Objectives The aim of this study was to uncover the challenges faced by ECRs involved in international collaborations within the field of neuropsychopharmacology. Method A survey was created by the participants of the 1st CINP Fellowship Program and shared online through CINP’s official communication channels. The inclusion criteria were as follows: psychiatrists up to five years post psychiatric qualification and researchers up to five years after Ph.D. (or equivalent), conducting research in the field of neuropsychopharmacology, with a background in medicine, pharmacy, neuroscience, psychology, natural sciences, or similar disciplines. All respondents gave their consent to participate in the study. The study was approved by the Ethics Committee of the Jessenius Faculty of Medicine in Martin, Comenius University Bratislava, Slovakia (EK 4/2024). Results As of now, we have received 50 responses from participants across 24 countries. There were 27 (54%) female respondents. The majority of the respondents were aged 25-34 years (54%). In terms of current positions, there were 1 undergraduate medical student, 9 Ph.D. students, 9 psychiatry residents, 5 dual Ph.D. students/psychiatry residents, 12 post-doctoral researchers, 7 consultant psychiatrists, 1 associate professor, 4 assistant professors, and 2 full professors. The majority of participants had a medicine background (65%). While 98% (49 out of 50) expressed interest in and recognized the value of international collaborations in neuropsychopharmacological research, only 60% had prior international collaboration experience. Major barriers included: lack of financial and external support (88%), scarcity of specialty- or methodology-specific resources (70%), shortage of networking opportunities such as conferences (58%), logistical difficulties such as language barriers and organizing meetings in different time zones (58%), and insufficient technological resources (44%). Discussion & Conclusions This study highlights strong interest among ECRs in international neuropsychopharmacology collaborations, despite significant barriers including financial constraints, insufficient support, and limited access to specialized resources. Difficulty in collecting responses from international ECRs, particularly non-medical researchers, suggests challenges in accessing international networks. This may result in their underrepresentation in studies and research collaborations. Addressing these challenges through targeted funding, enhanced networking platforms, and accessible resources can foster greater global collaboration and interdisciplinary perspectives. Such efforts are crucial to bridge the disconnect between neuroscientific evidence and clinical practice, engage researchers globally, and ultimately advance mental health research and care. Funded by the EU NextGenerationEU through the Recovery and Resilience Plan for Slovakia under the project No. 09I03-03-V04-00207.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0080.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.339
GPT teacher head0.512
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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