Lukasz Szymula
@lukasz_szymula
Computer Science Researcher
Department of Artificial Intelligence AMU
Center for Public Policy Studies AMU
ID: 1542149231988842504
29-06-2022 14:13:54
25 Tweet
43 Followers
44 Following
Prof.Marek Kwiek / Social Stratification in Science i jego doktorant Łukasz Szymula UAM Poznań współpracowali z ISCR Lab Elsevier w ramach globalnego badania nad wiekiem naukowców, wykorzystując ustrukturyzowane dane Scopus dotyczące 5 milionów naukowców w krajach OECD.🔍Kluczowe wyniki: elsevier.com/connect/is-the…
So honored to be able to collaborate with Prof. Marek Kwiek / Social Stratification in Science and @IntCtrStudyRes Kristy James 📚
So happy to have my friend Tereza Simova at STI2023 in Leiden, presenting our work; Open Access publishing patterns - gender and disciplines; Analysis of 20 million publications from 1990-2021 #STI2023 #OpenAccess #OpenAlex 🔥 paper here: doi.org/10.55835/6442b…
Thrilled to see my research w. Lukasz Szymula featured in "Times Higher Education" Times Higher Education ! Thank you John Ross for excellent coverage! The original preprint "Attrition in Science" is on ArXiv: arxiv.org/abs/2401.09425 New Hong Kong & Oxford seminars are on YouTube!
So glad - my article w. Lukasz Szymula in "Higher Education"! link.springer.com/article/10.100… ‼️"Quantifying attrition in science: a cohort-based, longitudinal study of scientists in 38 OECD countries"‼️ Thousands of scientists tracked over time - how they disappear from science?
400 tys. naukowców, 38 krajów OECD, 16 dyscyplin STEMM – polowa zostaje w nauce po 10 latach, a jedna trzecia po 20 latach. Prof.Marek Kwiek / Social Stratification in Science i jego doktorant Łukasz Szymula z UAM zbadali proces porzucani nauki akademickiej. Szczegóły w "Nature" tiny.pl/p-pwvjcj
The phrase ‘leaky pipeline’ refers to the loss of female talent at every stage of the academic career pipeline due to systemic barriers. However a longitudinal study of 375,000 people has concluded the attrition rate may not be as great as once thought. chemistryworld.com/news/women-sta…
Thrilled to our paper published today! In BIO, 60% of women are still in science after 5 years, 40% after 10 years, and only 20% after 19 years. Women in BIO are 23.26% more likely than men to leave science after 10 years and 39.74% after 19 years. febs.onlinelibrary.wiley.com/doi/10.1002/18…