ArticleProceedings of the National Academy of Sciences of the United States of America2018
Hack weeks as a model for data science education and collaboration.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- ABCD-ReproNim: An educational program for responsible and reproducible analyses of ABCD data.Developmental cognitive neuroscience · 2026Article
- Hands-On Neuroinformatics Education at the Crossroads of Online and In-Person: Lessons Learned from NeuroHackademy.Neuroinformatics · 2024Article
- The future of data analysis is now: Integrating generative AI in neuroimaging methods development.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Hack your organizational innovation: literature review and integrative model for running hackathons.Journal of innovation and entrepreneurship · 2023Review
- One-off events? An empirical study of hackathon code creation and reuse.Empirical software engineering · 2022Article
- A community-based approach to image analysis of cells, tissues and tumors.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2022Review
- Ten simple rules to cultivate transdisciplinary collaboration in data science.PLoS computational biology · 2021Article
- Ten simple rules for starting (and sustaining) an academic data science initiative.PLoS computational biology · 2021Article
- Ad hoc efforts for advancing data science education.PLoS computational biology · 2020Article
- Article
- Ten simple rules for helping newcomers become contributors to open projects.PLoS computational biology · 2019Article
- From the Wet Lab to the Web Lab: A Paradigm Shift in Brain Imaging Research.Frontiers in neuroinformatics · 2019Review
- Teaching Computational Reproducibility for Neuroimaging.Frontiers in neuroscience · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Across many scientific disciplines, methods for recording, storing, and analyzing data are rapidly increasing in complexity. Skillfully using data science tools that manage this complexity requires training in new programming languages and frameworks as well as immersion in new modes of interaction that foster data sharing, collaborative software development, and exchange across disciplines. Learning these skills from traditional university curricula can be challenging because most courses are not designed to evolve on time scales that can keep pace with rapidly shifting data science methods. Here, we present the concept of a hack week as an effective model offering opportunities for networking and community building, education in state-of-the-art data science methods, and immersion in collaborative project work. We find that hack weeks are successful at cultivating collaboration and facilitating the exchange of knowledge. Participants self-report that these events help them in both their day-to-day research as well as their careers. Based on our results, we conclude that hack weeks present an effective, easy-to-implement, fairly low-cost tool to positively impact data analysis literacy in academic disciplines, foster collaboration, and cultivate best practices.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.