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Regional and institutional trends in assessment for academic promotion
Lim, B. H., D’Ippoliti, C., Dominik, M., Hernández-Mondragón, A. C., Vermeir, K., Chong, K. K., Hussein, H., Morales-Salgado, V. S., Cloete, K. J., Kimengsi, J. N., Balboa, L., Mondello, S., dela Cruz, T. E., Lopez-Verges, S., Sidi Zakari, I., Simonyan, A., Palomo, I., Režek Jambrak, A., Germo Nzweundji, J., Molnar, A., Saktiawati, A. M. I., Elagroudy, S., Kumar, P., Enany, S., Narita, V., Backes, M., Siciliano, V., Egamberdieva, D., Flores Bueso, Y.
Published in Nature (London) (13.02.2025)
Published in Nature (London) (13.02.2025)
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PhD training is no longer fit for purpose — it needs reform now
Published in Nature (London)
(19.01.2023)
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How Nature contributed to science’s discriminatory legacy
Published in Nature (London)
(29.09.2022)
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From Einstein to AI: how 100 years have shaped science
Published in Nature (London)
(21.12.2023)
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Institutionalizing ethics in AI through broader impact requirements
Prunkl, Carina E. A., Ashurst, Carolyn, Anderljung, Markus, Webb, Helena, Leike, Jan, Dafoe, Allan
Published in Nature machine intelligence (01.02.2021)
Published in Nature machine intelligence (01.02.2021)
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Chinese science still has room to grow
Published in Nature (London)
(06.06.2024)
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Leaders in high-quality natural-sciences research by subject
Published in Nature (London)
(01.06.2019)
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AI for social good: unlocking the opportunity for positive impact
Tomašev, Nenad, Cornebise, Julien, Hutter, Frank, Mohamed, Shakir, Picciariello, Angela, Connelly, Bec, Belgrave, Danielle C. M., Ezer, Daphne, Haert, Fanny Cachat van der, Mugisha, Frank, Abila, Gerald, Arai, Hiromi, Almiraat, Hisham, Proskurnia, Julia, Snyder, Kyle, Otake-Matsuura, Mihoko, Othman, Mustafa, Glasmachers, Tobias, Wever, Wilfried de, Teh, Yee Whye, Khan, Mohammad Emtiyaz, Winne, Ruben De, Schaul, Tom, Clopath, Claudia
Published in Nature communications (18.05.2020)
Published in Nature communications (18.05.2020)
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Menopause research is globally underfunded. It’s time to change that
Published in Nature (London)
(23.01.2025)
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Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
Schulz, Marc-Andre, Yeo, B. T. Thomas, Vogelstein, Joshua T., Mourao-Miranada, Janaina, Kather, Jakob N., Kording, Konrad, Richards, Blake, Bzdok, Danilo
Published in Nature communications (25.08.2020)
Published in Nature communications (25.08.2020)
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Adversarial collaborations: all theories must be subject to critical evaluation
Snyder, Joel S., Cheng, Tony, Klincewicz, Michał, Schmitz, Michael, Sebastián, Miguel Ángel
Published in Nature (London) (26.06.2025)
Published in Nature (London) (26.06.2025)
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