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Research Intimacy: Internalizing obscure knowledge, equations, relationships, and ways of thinking related to a research topic.— Chris Olah (@ch402) August 16, 2020

Deep research requires a slower pace than tech industry work

Anyone working in an industry for a while will become accustomed to that culture—its processes, its norms, its values, its tacit knowledge. Much of this is incredibly valuable, of course, but these ideas can also represent constraints. There are some important impedances here between tech industry culture and research culture. In particular, tech culture is calibrated to a much faster pace. This can lead to impatience or early abandonment when confronting problems which require a researcher’s pace.

Deep research requires a slower pace than tech industry work

Anyone working in an industry for a while will become accustomed to that culture—its processes, its norms, its values, its tacit knowledge. Much of this is incredibly valuable, of course, but these ideas can also represent constraints. There are some important impedances here between tech industry culture and research culture. In particular, tech culture is calibrated to a much faster pace. This can lead to impatience or early abandonment when confronting problems which require a researcher’s pace.

Reclaiming scientific publishing: Our duty to make science freely accessible to all

When we (Camille Thomas and Romain Vaucher speaking) entered academia as graduate students in France and Switzerland, we were enthusiastic about the vast amount of research available with a simple click on our university computers. However, we also quickly felt disheartened by the significant amount of research work we couldn’t access when wrapping up our theses from home. Luckily, pirates existed. Empowered by Aaron Swartz’s Guerilla Open Access Manifesto, Alexandra Elbakyan created Sci-Hub in 2011, the greatest leak of scientific knowledge of the century. We felt right in the middle of an Open Access (OA) revolution that would finally make all scientific articles, old and new, accessible to everyone. Fifteen years later, our hopes as idealistic early-career researchers have been crushed by the oligopolistic model of scientific publishing and the subtle pressures of the “publish or perish” culture that reigns over our career development. In the meantime, publishers like Frontiers, MDPI and Springer Nature, to name a few, have exponentially expanded their number of titles. They have become increasingly exploitative of scholarly manpower, moving far away from the genuine accessibility they allegedly promised under the guise of this OA transformation. Open Access is to be praised, but the way it has been implemented through the mainstream Gold and Green OA models now primarily serves the status quo of large for-profit publishers. These entities hijack public money and voluntary editorial labour for their own profit and that of their shareholders (Butler et al., 2023; Shu and Larivière, 2024). In a nutshell, to offer reader accessibility, the Gold OA model requires authors to pay an Article Processing Charge (APC; around 2,000 $/€, rarely less, and often much more) covered by individual research funds, funding agencies or university library deals. The Green OA model allows authors to upload their accepted, non-formatted manuscripts to repositories after an embargo period. While both models allow compliance with funding agency mandates, true equity and accessibility are ultimately left behind. In an article we recently published (Vaucher and Thomas, 2026), we describe the mechanisms through which we, as researchers, inadvertently contribute to keeping research exclusive while driving the publishing model down an unsustainable path. Just like our broader economy, our publishing model and the ways science is evaluated fuelled a predatory system that demands more papers, funding and prestige at an ever-faster rate (Walter and Mullins, 2019), likely at the expense of quality, diversity and ethics (Frank et al., 2023; Heen and Vogt, 2024). These concerns aren’t entirely new. What is new, however, is the growing realisation among societies, universities and funding bodies that we must move away from this system. Initiatives like the European Diamond Capacity Hub, ALMASI and craft-OA are actively paving a way forward that we, as scientists, have yet to fully embrace. In the geosciences, a collective and concerted effort is currently being made by researchers to provide fairer, more sustainable alternatives through community-driven Diamond OA journals (which feature no APCs and completely free access to published articles). Volcanica (Farquharson and Wadsworth, 2018), Sedimentologika (Thomas et al., 2023), Tektonika (Fernández-Blanco et al., 2023), Seismica (Rowe et al., 2022), Geomorphica (Lefebvre et al., 2025), Open Paleontology (Drage et al., 2024), Advances in Geochemistry and Cosmochemistry (Pourret et al., 2025), Geodynamica, jSEDI and Planetary Research are all recently created, scholarly-run journals funded by university library investments to promote better ways of publishing. Their articles are peer-reviewed, free for readers to access, and free for authors to publish. They rely entirely on the voluntary involvement of scientists running open-source editorial platforms (such as Open Journal Systems), transparent workflows, copyediting, production and final dissemination. Diamond OA journals offer an alternative path for all of us to transform our broken publishing system and reclaim ownership of our own science. These efforts go hand in hand with greater involvement in our academic societies and non-profit publishing initiatives. Ultimately, real transformation can only happen if all of us as researchers realise how inherently unfair and exclusive the current system is to labs and institutions that cannot afford steep Gold OA APCs or paywalled journal subscriptions. It also means we must collectively stop evaluating science based on journal prestige and the flawed metrics they own (Posada and Chen, 2018; Sabel and Larhammar, 2025; Simons, 2008). Only by breaking these habits can we truly make knowledge accessible to all.   References Butler, L.-A., Matthias, L., Simard, M.-A., Mongeon, P., and Haustein, S.: The oligopoly’s shift to open access: How the big five academic publishers profit from article processing charges, Quantitative Science Studies, 4, 778–799, https://doi.org/10.1162/qss_a_00272, 2023. Drage, H. B., Keating, J. N., Nielsen, M. L., Saleh, F., and Hearing, T. W. W.: Open Palaeontology: a new model of diamond open access journal for palaeontology, Open Palaeontology, 1, 1–6, https://doi.org/10.26034/la.opal.2024.6223, 2024. Farquharson, J. I. and Wadsworth, F. B.: Introducing Volcanica: The first diamond open-access journal for volcanology, Volcanica, 1, I–IX, https://doi.org/10.30909/vol.01.01.i-ix, 2018. Fernández-Blanco, D., Lacassin, R., Gouiza, M., Perez-Diaz, L., Magee, C., McCarthy, D., Doré, T., Péron-Pinvidic, G., Kavanagh, J., Bond, C., and Schmitt, R.: Tektonika: The Community-Led Diamond Open-Access Journal for Tectonics and Structural Geology, τeκτoniκa, 1, I–XIII, https://doi.org/10.55575/tektonika2023.1.1.56, 2023. Frank, J., Foster, R., and Pagliari, C.: Open access publishing – noble intention, flawed reality, Social Science & Medicine, 317, 115592, https://doi.org/10.1016/j.socscimed.2022.115592, 2023. Heen, E. and Vogt, H.: Scientific rot: Unsustainable publishing practices threatens trust in medicine, Journal of Evaluation in Clinical Practice, 30, 941–944, https://doi.org/10.1111/jep.13989, 2024. Lefebvre, A., Bosch, R., Burrows, K., Giaime, M., Goodwin, G., Lai, L. S.-H., Stammler, M., and Fernández, R.: Geomorphica: The most accessible journal for the geomorphology community, Geomorphica, 1, https://doi.org/10.59236/geomorphica.v1i1.54, 2025. Posada, A. and Chen, G.: Inequality in Knowledge Production: The Integration of Academic Infrastructure by Big Publishers, in: ELPUB 2018, https://doi.org/10.4000/proceedings.elpub.2018.30, 2018. Pourret, O., Millet, M.-A., Marin-Carbonne, J., Mallik, A., Tierney, J. E., Darling, J. R., Kiseeva, E. S., Torres, M. A., Fonseca, R. O. C., Tartèse, R., Namur, O., Klöcking, M., Matthews, S. W., Dahrén, B., Ickert, R. B., and Board,  the inaugural A. in G. and C. editorial: Equitable Access, Open Science, and the Future of Publishing in Geochemistry and Cosmochemistry, Advances in Geochemistry and Cosmochemistry, 1, https://doi.org/10.33063/agc.v1i1.770, 2025. Rowe, C., Agius, M., Convers, J., Funning, G., Galasso, C., Hicks, S., Huynh, T., Lange, J., Lecocq, T., Mark, H., Okuwaki, R., Ragon, T., Rychert, C., Teplitzky, S., and Van den Ende, M.: The launch of Seismica: a seismic shift in publishing, Seismica, 1, https://doi.org/10.26443/seismica.v1i1.255, 2022. Sabel, B. and Larhammar, D.: Reformation of science publishing: the Stockholm Declaration, R Soc Open Sci., 12, 251805, https://doi.org/10.1098/rsos.251805, 2025. Shu, F. and Larivière, V.: The oligopoly of open access publishing, Scientometrics, 129, 519–536, https://doi.org/10.1007/s11192-023-04876-2, 2024. Simons, K.: The Misused Impact Factor, Science, 322, 165–165, https://doi.org/10.1126/science.1165316, 2008. Thomas, C., Privat, A., Vaucher, R., Spychala, Y., Zuchuat, V., Marchegiano, M., Poyatos-Moré, M., Kane, I., and Chiarella, D.: Sedimentologika: a community-driven diamond open access journal in sedimentology, Sedimentologika, 2023. Vaucher, R. and Thomas, C.: Diamond is the new Green—Why Green Open Access is not a sustainable long-term model for scientific publishing, Sedimentologika, 4, https://doi.org/10.57035/journals/sdk.2026.e41.2397, 2026. Walter, P. and Mullins, D.: From symbiont to parasite: the evolution of for-profit science publishing, Molecular Biology of the Cell, https://doi.org/https://doi.org/10.1091/mbc.E19-03-0147, 2019.  

Academic Lexicon & Feature expansion · Issue #119 · singi-labs/sifa-workspace

Summary Together with #ATScience, we see a huge opportunity for academics to use open AT protocol to collaborate, protect and show their work. Sifa could help our by providing the functionality tha...

Open Science Network

Reclaim scientific discourse with federated digital spaces where researchers shape their own conversations, data, and collaborations

Clouded skies for open networks

Last week, I finished an essay about platform design affordances and content moderation expectations and community-level context collapse on Bluesky for Tech Policy Press and set it aside to cool before a last read-through. An hour later, the Trump administration brought to Bluesky a propaganda-zombie army made

Why we built the Journal of Research on Research and what it cost us - LSE Impact

Gemma Derrick, Bart Penders, Serge Horbach & Tony Ross-Hellauer reflect on the choices, challenges & compromises of launching the Journal of Research on Research

Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers

Large language models (LLMs) are dramatically influencing AI research, spurring discussions on what has changed so far and how to shape the field's future. To clarify such questions, we analyze a new dataset of 16,979 LLM-related arXiv papers, focusing on recent trends in 2023 vs. 2018-2022. First, we study disciplinary shifts: LLM research increasingly considers societal impacts, evidenced by 20x growth in LLM submissions to the Computers and Society sub-arXiv. An influx of new authors -- half of all first authors in 2023 -- are entering from non-NLP fields of CS, driving disciplinary expansion. Second, we study industry and academic publishing trends. Surprisingly, industry accounts for a smaller publication share in 2023, largely due to reduced output from Google and other Big Tech companies; universities in Asia are publishing more. Third, we study institutional collaboration: while industry-academic collaborations are common, they tend to focus on the same topics that industry focuses on rather than bridging differences. The most prolific institutions are all US- or China-based, but there is very little cross-country collaboration. We discuss implications around (1) how to support the influx of new authors, (2) how industry trends may affect academics, and (3) possible effects of (the lack of) collaboration.

Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers

Large language models (LLMs) are dramatically influencing AI research, spurring discussions on what has changed so far and how to shape the field's future. To clarify such questions, we analyze a new dataset of 16,979 LLM-related arXiv papers, focusing on recent trends in 2023 vs. 2018-2022. First, we study disciplinary shifts: LLM research increasingly considers societal impacts, evidenced by 20x growth in LLM submissions to the Computers and Society sub-arXiv. An influx of new authors -- half of all first authors in 2023 -- are entering from non-NLP fields of CS, driving disciplinary expansion. Second, we study industry and academic publishing trends. Surprisingly, industry accounts for a smaller publication share in 2023, largely due to reduced output from Google and other Big Tech companies; universities in Asia are publishing more. Third, we study institutional collaboration: while industry-academic collaborations are common, they tend to focus on the same topics that industry focuses on rather than bridging differences. The most prolific institutions are all US- or China-based, but there is very little cross-country collaboration. We discuss implications around (1) how to support the influx of new authors, (2) how industry trends may affect academics, and (3) possible effects of (the lack of) collaboration.