AAT · Appraising and accelerating theoretical progress in memory modification research with meta-science, Bayesian statistics, and an open-collaborative approach.
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2020-04-20 → 2022-08-02
- EU contribution
- €175,572
- Participants
- 1
- Scheme
- MSCA-IF
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Results in brief
Appraising and accelerating theoretical progress in memory modification research with meta-science, Bayesian statistics, and an open-collaborative approach.
There is growing concern about the credibility of scientific research due to low transparency, poor design choices, selective reporting bias, and statistical misuse. Poor quality research wastes tax payer's money and can lead to ineffective or even harmful social and health interventions. The scientific ecosystem is supposed to be protected by 'self-correcting' mechanisms that weed out bad science, but it is unclear if these are operating effectively. The current project took place against this backdrop. The project took a meta-research ('research-on-research') approach to investigate the problems and potential solutions of the current credibility crisis. The specific scientific and training objectives of the project were to (1) appraise and accelerate theoretical progress in memory modification research with Bayesian statistics, collaboration, and open science; and (2) create opportunities for the research fellow to develop a strong repertoire of statistical, methodological, and transferable skills, enrich their research portfolio, and consolidate their network of collaborators in the fields of meta-research and psychology.
Data: CORDIS, © European Union
Project objective
This fellowship will involve appraising and accelerating theoretical progress in memory modification research with Bayesian statistics, collaboration, and open science. I have proposed an ambitious and innovative research agenda that complements my existing knowledge and skillset (memory modification, meta-science, open science) with the expertise of my prospective supervisor (Bayesian statistics, open science, collaborative science). Theoretical progress in the field of memory modification has stalled due to problems with the credibility of the published literature. Issues include small sample sizes, a lack of transparency, and low theoretical diagnosticity. Additionally, the predominant use of frequentist statistics limits opportunities for informative statistical inferences, particularly quantifying evidence for the null hypothesis. The proposed research will involve a systematic appraisal of the memory modification field using Bayesian statistics and a consortium project based on open science principles to accelerate theoretical progress. The procedures developed could be usefully extended to other research areas through collaboration with domain experts. This research agenda will provide me with ample training opportunities to develop a strong repertoire of statistical, methodological, and transferable skills. I will be in an excellent position to enrich my unique research portfolio and publish research outputs in high quality open access outlets. The mobility and reintegration aspects of the fellowship will be especially beneficial in helping me to consolidate existing European collaborations and develop new professional relationships in the Netherlands’ burgeoning meta-science network. In sum, the fellowship will provide me with the training and opportunities I need to lay the foundations of my career as an independent scientist, eventually leading my own European research group at the intersection of experimental psychology and meta-research.
Original text from CORDIS.
Participants
- UNIVERSITEIT VAN AMSTERDAM · AmsterdamCoordinatorNetherlands
Links
Data: CORDIS, © European Union