helmholtz.social ist einer von vielen unabhängigen Mastodon-Servern, mit dem du dich im Fediverse beteiligen kannst.
Diese Mastodon-Instanz dient der institutionellen Wissenschaftskommunikation der Helmholtz-Gemeinschaft, ihrer Mitgliedszentren und ausgewählter Helmholtz-Initiativen.

Serverstatistik:

22
aktive Profile

#womeninstem

8 Beiträge6 Beteiligte2 Beiträge heute

Happy birthday to Caroline Herschel (1750 – 1848) a trail blazing woman in #astronomy. Hers was a real life Cinderella story, where rather than marrying a prince, she made a life and career for herself. Marriage her expected role but she was deemed unmarriageable, since a childhood bout of typhus stunted her growth. Her mother thought she should train to be a servant, & purposely stood in the way of her learning French, or music,🧵

Fakt ist: Es gibt zu wenige weibliche Fachkräfte im IT-Sektor. Fakt ist auch: Viele Frauen verlassen ihn nach einiger Zeit wieder.

Im Vorhaben #Tech2stay stellen wir uns der Frage: Wie gestalten Unternehmen die Bedingungen so, dass Frauen in der IT bleiben und ihr volles Innovationspotenzial entfalten?

#opencall Auf der #INFORMATIK25 kommen Wissenschaft und Wirtschaft zusammen: Bis 7.4. können Beiträge für den Workshop eingereicht werden 👉 informatik2025.gi.de/programmu
#WomeninSTEM

🤔 What's next for climate modeling? 5️⃣internationally recognized #femaleScientists, including #MPI_director Sarah Kang, argue: Instead of picking just 1 path, #climateresearch should embrace #diversity&integrate multiple approaches–e.g., artificial intelligence #AI 🧠, km-scale modeling, & parameter tuning. They show how the past provides us with ample evidence that a diverse strategy is most promising. 🙌 ➡️ mpimet.mpg.de/en/communication
#WomenInSTEM
CC BY 4.0 Bordoni et al. 2025 doi.org/10.1038/s41612-025-009

“Since my goal was to solve a problem no one had ever solved before, it required a creative and flexible approach, one that emphasized the exploration, experimentation, and steady refinement of ideas. But perhaps the most important lesson I learned was that there is no single “correct” way to be a mathematician.” - Katy Micek

➡️ Find the full story at hermathsstory.eu/catherine-mic

Seeing dark matter in the Andromeda galaxy

By Vera Rubin, from the archives, via @physicstoday

This is a story of why and how Kent Ford and I studied the orbital velocities of stars in the Andromeda galaxy 40 years ago. Our study was influential in the later conclusion that most of the matter in the universe is dark.

pubs.aip.org/physicstoday/arti

🌟 Celebrating International Women’s Day at the ECDF in collaboration with the @tuberlin

On March 7, 2025 we hosted an inspiring event dedicated to women’s rights, gender equality & empowering women in every field, but especially in STEM!

Thank you to everyone who participated, shared their stories, and helped make changes toward a more inclusive and equal #digitalfuture! 💪

egusphere.copernicus.orgUtilizing Probability Estimates from Machine Learning and Pollen to Understand the Depositional Influences on Branched GDGT in Wetlands, Peatlands, and LakesAbstract. Branched glycerol dialkyl glycerol tetraethers (brGDGTs) serve as critical molecular biomarkers for the quantitative reconstruction of past environments, ambient temperature and pH across various archives. Despite their success, numerous issues persist that limit their application. The distribution of brGDGTs varies significantly based on provenance, resulting in biases in environmental reconstructions that rely on fractional abundances and derived indices, such as the MBT’5ME. This issue is especially significant in shallow lakes, wetlands, and peatlands within semi-arid and arid regions, where ecosystems are sensitive to diverse environmental and climatic factors. Recent advancements, such as machine learning techniques, have been developed to identify changes in sources; however, these techniques are insufficient for detecting mixed source environments. The probability estimates derived from five machine learning algorithms are employed here to detect provenance changes in brGDGT downcore records and to identify periods of mixed provenance. A new global modern database (n=2301) was compiled to train, validate, test, and apply these algorithms to two sedimentary records. Our findings are corroborated by pollen and non-pollen palynomorphs obtained from the identical records. These microfossil proxies are utilized to discuss changes in provenance, hydrology, and ecology that influence the distribution of brGDGTs. Probability estimates derived from Random Forest with a sigmoid calibration are most effective in detecting changes in brGDGT distribution. Minor changes in the relative contributions of brGDGTs provenance can significantly influence the distribution of brGDGTs, especially regarding the MBT'5ME index. This study introduces a novel brGDGT wetland index aimed at monitoring potential biases arising from wetland development.

🙄 Traust du dir das wirklich zu? Ist das echt was für dich? GI-Junior Fellow und Mitglied unserer Fachgruppe @mareikelisker setzt sich mit subtilen Entmutigungen wie oben auseinander.

Sie sind teils sogar gut gemeint, können aber nicht nur die Laufbahn von Frauen in der #Informatik beeinflussen, sondern sie auch davon abhalten, diese überhaupt einzuschlagen.

Sind euch solche Entmutigungen auch schon begegnet?

Mehr im Interview: youtube.com/watch?v=U3QSAmbNb3

#Fraunpower at Fraunhofer IOF

Imagine a world where science misses half its brilliance.

At Fraunhofer IOF, women are shaping the future of optics and photonics. But science doesn’t happen in the lab alone! Our success is driven by incredible women in all aspects of the institute – research, recruitment or communication. Their expertise and dedication make innovation possible.

On this International Women’s Day, we say it loud: We need more #WomeninSTEM to enrich the world of science!