Our thesis is that experiments from our high-throughput labs provide the data to train increasingly capable scientific AI, which, in turn, guides better experiments.
【非共识】作者提出了一个循环增强的核心理念，即高通量实验室数据训练出的AI能指导更好的实验，产生更多数据，形成正反馈循环。这一观点挑战了传统科学研究中数据收集和模型训练的分离模式，暗示了一种自我改进的科学发现系统，但未详细说明如何避免这种循环中的潜在偏见或局部最优问题。
We created Neon by midtraining and reinforcement learning (RL) on data from our labs.
【方法】这段文字揭示了模型训练的具体方法，结合了midtraining和强化学习，使用实验室数据。这种方法将AI与实际科学实验数据紧密结合，但未详细说明数据集规模、质量评估方法或RL奖励函数的设计细节，这些因素对模型性能至关重要。
Felger describes the sorts of data an ornithologist would be interested in collecting and then delineates how to create a spreadsheet (though he doesn't use this term) for collecting this data.
In a follow up article five years later, he suggests using a card index system instead. See: @Felger1907 whith notes at: https://hypothes.is/a/qeki7oU4EfGv8QNy5SVDgA
Besançon, L., Peiffer-Smadja, N., Segalas, C., Jiang, H., Masuzzo, P., Smout, C., Billy, E., Deforet, M., & Leyrat, C. (2021). Open science saves lives: Lessons from the COVID-19 pandemic. BMC Medical Research Methodology, 21(1), 117. https://doi.org/10.1186/s12874-021-01304-y
Dr Nisreen Alwan 🌻. (2020, March 14). Our letter in the Times. ‘We request that the government urgently and openly share the scientific evidence, data and modelling it is using to inform its decision on the #Covid_19 public health interventions’ @richardhorton1 @miriamorcutt @devisridhar @drannewilson @PWGTennant https://t.co/YZamKCheXH [Tweet]. @Dr2NisreenAlwan. https://twitter.com/Dr2NisreenAlwan/status/1238726765469749248
ReconfigBehSci on Twitter: ‘Now #scibeh2020: Pat Healey from QMU, Univ. Of London speaking about (online) interaction and miscommunication in our session on “Managing Online Research Discourse” https://t.co/Gsr66BRGcJ’ / Twitter. (n.d.). Retrieved 6 March 2021, from https://twitter.com/SciBeh/status/1326155809437446144
Sarah Mojarad. (2020, October 23). What are some of the positive consequences of social media? Would love to hear your stories! [Tweet]. @Sarah_Mojarad. https://twitter.com/Sarah_Mojarad/status/1319722197766733825
ReconfigBehSci on Twitter: ‘@alexdefig are you really going to claim that responses to the introduction of passports on uptake across 4 other countries are evidentially entirely irrelevant to whether or not passports are justified or not?’ / Twitter. (n.d.). Retrieved 31 March 2022, from https://twitter.com/SciBeh/status/1444358068280565764
Fischer, O., Jeitziner, L., & Wulff, D. U. (2021). Affect in science communication: A data-driven analysis of TED talks. PsyArXiv. https://doi.org/10.31234/osf.io/28yc5
Replicating scientific results is tough—But essential. (2021). Nature, 600(7889), 359–360. https://doi.org/10.1038/d41586-021-03736-4
Tom Moultrie. (2021, December 12). Given the comedic misinterpretation of the South African testing data offered by @BallouxFrancois (and many others!) last night ... I offer some tips having contributed to the analysis of the testing data for the @nicd_sa since April last year. (1/6) [Tweet]. @tomtom_m. https://twitter.com/tomtom_m/status/1469954015932915718
Kovacs, M., Hoekstra, R., & Aczel, B. (2021). The Role of Human Fallibility in Psychological Research: A Survey of Mistakes in Data Management. Advances in Methods and Practices in Psychological Science, 4(4), 25152459211045930. https://doi.org/10.1177/25152459211045930
Seth Trueger on Twitter: “@IdiotTracker @RyanMarino from the makers of ivermectin https://t.co/oEhAaWhqK3” / Twitter. (n.d.). Retrieved August 27, 2021, from https://twitter.com/MDaware/status/1404856892812316677
Data Collection and Integration to Enhance Public Health Registration, Thu, Jun 10, 2021 at 1:00 PM | Eventbrite. (n.d.). Retrieved May 28, 2021, from https://www.eventbrite.com/e/data-collection-and-integration-to-enhance-public-health-registration-156146370999
Ten scientific reasons in support of airborne transmission of SARS-CoV-2—The Lancet. (n.d.). Retrieved April 19, 2021, from https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)00869-2/fulltext
West, J. D., & Bergstrom, C. T. (2021). Misinformation in and about science. Proceedings of the National Academy of Sciences, 118(15). https://doi.org/10.1073/pnas.1912444117
Emails show Trump officials celebrate efforts to change CDC reports on coronavirus—The Washington Post. (n.d.). Retrieved April 12, 2021, from https://www.washingtonpost.com/health/2021/04/09/cdc-covid-political-interference/
Coenen, A., & Gureckis, T. (2021). The distorting effects of deciding to stop sampling information. PsyArXiv. https://doi.org/10.31234/osf.io/tbrea
Cailin O’Connor. (2020, November 10). New paper!!! @psmaldino look at what causes the persistence of poor methods in science, even when better methods are available. And we argue that interdisciplinary contact can lead better methods to spread. 1 https://t.co/C5beJA5gMi [Tweet]. @cailinmeister. https://twitter.com/cailinmeister/status/1326221893372833793
Joe. (2021, January 26). Crystal Prison Zone: I tried to report scientific misconduct. How did it go? Crystal Prison Zone. http://crystalprisonzone.blogspot.com/2021/01/i-tried-to-report-scientific-misconduct.html
Thacker, P. D. (2020). A few tiny steps towards transparency: How the Sunshine Act shone light on industry’s influence in medicine. BMJ, 370. https://doi.org/10.1136/bmj.m3229
Nagaraj, A., Shears, E., & Vaan, M. de. (2020). Improving data access democratizes and diversifies science. Proceedings of the National Academy of Sciences, 117(38), 23490–23498. https://doi.org/10.1073/pnas.2001682117
Moreau, D., & Gamble, B. (2020). Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations. Psychological Methods, No Pagination Specified-No Pagination Specified. https://doi.org/10.1037/met0000351
Max Primbs on Twitter. (n.d.). Twitter. Retrieved September 14, 2020, from https://twitter.com/MaxPrimbs/status/1304516869509066760
Susan Athey, July 22, 2020. (2020, August 2). https://www.youtube.com/watch?v=hqTOPrUxDzM
aaronpeikert. (2020). Aaronpeikert/reproducible-research [TeX]. https://github.com/aaronpeikert/reproducible-research (Original work published 2019)
van Smeden, M., Lash, T. L., & Groenwold, R. H. H. (2020). Reflection on modern methods: Five myths about measurement error in epidemiological research. International Journal of Epidemiology, 49(1), 338–347. https://doi.org/10.1093/ije/dyz251
Welcome to a new ERA of reproducible publishing. (2020, August 24). ELife; eLife Sciences Publications Limited. https://elifesciences.org/labs/dc5acbde/welcome-to-a-new-era-of-reproducible-publishing
Fell, M. J., Pagel, L., Chen, C., Goldberg, M. H., Herberz, M., Huebner, G., Sareen, S., & Hahnel, U. J. J. (2020). Validity of energy social research during and after COVID-19: Challenges, considerations, and responses [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/pe6cd
Moreau, D., & Gamble, B. (2020). Conducting a Meta-Analysis in the Age of Open Science: Tools, Tips, and Practical Recommendations [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/t5dwg
Mather, N. (2020). How we accelerated clinical trials in the age of coronavirus. Nature, 584(7821), 326–326. https://doi.org/10.1038/d41586-020-02416-z
Besançon, L., Peiffer-Smadja, N., Segalas, C., Jiang, H., Masuzzo, P., Smout, C., Deforet, M., & Leyrat, C. (2020). Open Science Saves Lives: Lessons from the COVID-19 Pandemic. BioRxiv, 2020.08.13.249847. https://doi.org/10.1101/2020.08.13.249847
Speelman, C., & McGann, M. (2020). Statements about the Pervasiveness of Behaviour Require Data about the Pervasiveness of Behaviour [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/bxzm4
Collins, G. S., & Wilkinson, J. (n.d.). Statistical issues in the development a COVID-19 prediction models. Journal of Medical Virology, n/a(n/a). https://doi.org/10.1002/jmv.26390
Fontana, M., Iori, M., Montobbio, F., & Sinatra, R. (2020). New and atypical combinations: An assessment of novelty and interdisciplinarity. Research Policy, 49(7), 104063. https://doi.org/10.1016/j.respol.2020.104063
Sperrin, M., Martin, G. P., Sisk, R., & Peek, N. (2020). Missing data should be handled differently for prediction than for description or causal explanation. Journal of Clinical Epidemiology, 0(0). https://doi.org/10.1016/j.jclinepi.2020.03.028
An analyst’s job is never done – GSS. (n.d.). Retrieved July 3, 2020, from https://gss.civilservice.gov.uk/blog/an-analysts-job-is-never-done/
Czarnek, G., Szwed, P., & Kossowska, M. (2020). Political ideology and attitudes toward vaccination: Study report. https://doi.org/10.31234/osf.io/uwehk
Carrying out qualitative research under lockdown – Practical and ethical considerations. (2020, April 20). Impact of Social Sciences. https://blogs.lse.ac.uk/impactofsocialsciences/2020/04/20/carrying-out-qualitative-research-under-lockdown-practical-and-ethical-considerations/
r/BehSciMeta—Comment by u/UHahn on ”What is the impact of retraction of scientific studies reported in news media?”. (n.d.). Reddit. Retrieved June 17, 2020, from https://www.reddit.com/r/BehSciMeta/comments/gyw43b/what_is_the_impact_of_retraction_of_scientific/ftp5w1p
Efron, B. (2020). Prediction, Estimation, and Attribution. Journal of the American Statistical Association, 115(530), 636–655. https://doi.org/10.1080/01621459.2020.1762613
Servick, K., EnserinkJun. 2, M., 2020, & Pm, 7:55. (2020, June 2). A mysterious company’s coronavirus papers in top medical journals may be unraveling. Science | AAAS. https://www.sciencemag.org/news/2020/06/mysterious-company-s-coronavirus-papers-top-medical-journals-may-be-unraveling
Rosenbusch, H., Hilbert, L. P., Evans, A. M., & Zeelenberg, M. (2020). StatBreak: Identifying “Lucky” Data Points Through Genetic Algorithms. Advances in Methods and Practices in Psychological Science, 2515245920917950. https://doi.org/10.1177/2515245920917950