Create accountLogin

Recent searches

No recent searches

Search options

Only available when logged in.
en.osm.town is one of the many independent Mastodon servers you can use to participate in the fediverse.
An independent, community of OpenStreetMap people on the Fediverse/Mastodon. Funding graciously provided by the OpenStreetMap Foundation.

Administered by:

Server stats:

268
active users

en.osm.town: AboutProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.3.7

#digitalization

0 posts0 participants0 posts today
Public *
DiTraRe

Yesterday we tried to dive deeper into the opportunities and challenges of AI in/for Information Infrastructures for research and organised a fishbowl discussion as part of our Workshop on Information Infrastructure in the Era of AI: opportunities and challenges at E-Science Tage in Heidelberg

#DiTraRe #AI #research #digitalization #conference #escience #fishbowl @lysander07 @fiz_karlsruhe @fizise @KIT_Karlsruhe @ITAS_KIT #heidelberg @AnnaJacyszyn #escitage2025

Discussion in a fishbowl session of the DiTraRe Workshop at E-Science Tage 2025 in Heidelberg. Panelists (and some empty chairs) from left to right: Felix Bach, unknown participant from the audience, Harald Sack (speaking into the microphone), Hannah Zimmermann (KIT Institute of Sports and Sports Science), Silvia Becker (KIT Institute of Biomedical Engineering), Tobias Kerzenmacher (KIT Institutes of Meteorology and Climate Research)
Public *
Harald Sack

Today in Heidelberg at E-Science Days 2025 we are conducting the Workshop on Information Infrastructure in the Era of AI: opportunities and challenges organised by our #DiTraRe science campus project

Workshop Programme: conftool.com/e-science-tage-20
HedgeHog Conference Notes: doc.dbtech.dev/NEAUFfeyRd2bGi7

@fiz_karlsruhe @fizise @KIT_Karlsruhe @ITAS_KIT @AnnaJacyszyn #AI #digitalization @DiTraRe #Heidelberg

Courtyard of Heidelberg University
Public
DiTraRe

Meet us next week at the E-Science Tage 2025 in Heidelberg. The general topic is Research Data Management: Challenges in a Changing World. On Wednesday we are happy to welcome you in our workshop "Information Infrastructures in the Era of Artificial Intelligence: Opportunities and Challenges". We are looking forward to fruitful discussions!

conftool.com/e-science-tage-20

#rdm @NFDI @nfdi4culture @NFDI4DS #AI #digitalization @AnnaJacyszyn @fiz_karlsruhe @fizise @KIT_Karlsruhe @ITAS_KIT

Workshop Information Infrastructures in the Era of Artificial Intelligence: Opportunities and Challenges Research is increasingly being shaped by digitalisation processes. This applies both to research methods and to their communication within science as well as between academia and society and has a strong impact on research results. This expanding digital transformation affects all disciplines of science. It goes hand in hand with the ‘datafication’ of research, where currently numerous research questions are data-driven. The amount of quantitative and qualitative data available for analysis is constantly growing. As a result, research practices and methodologies are changing fundamentally. Already in 2005, Hey et al. described data-driven research as a new paradigm for the acquisition of knowledge, in which data acquisition and its analysis have a clear separation and the same data can be reused to answer different scientific questions. Proper management of research data requires state-of-the-art information infrastructures which should allow i.e. comprehensive analysis and compliance to FAIR (findability, accessibility, interoperability, reusability) principles. Modern designs of such infrastructures start to integrate different AI methods, which in numerous cases lead to significant improvements, such as automated metadata extraction and enrichment, error detection and correction, pattern recognition.
Public
Karl Voit :emacs: :orgmode:

"#Denmark's state-run postal service, #PostNord, is to end all #letter deliveries at the end of 2025, citing a 90% decline in letter volumes since the start of the century.

The decision brings to an end 400 years of the company's #letterservice. Denmark's 1,500 post boxes will start to disappear from the start of June."

bbc.com/news/articles/ckg8jllq

Two red post boxes in the centre of Copenhagen
www.bbc.comDenmark's postal service to stop delivering lettersThe decision will end 400 years of the company's letter service, and postboxes will disappear from June.
#snailmail#digitalization
Public
DiTraRe

Our colleague @AnnaJacyszyn is already on her way back home from the AI4SC@AAAI2025 workshop in Philadelphia, USA, wher she was presenting "AI4DiTraRe: Towards LLM-Based Information Extraction for Standardising Climate Research Repositories"

presentation slides: zenodo.org/records/14925185
paper: zenodo.org/records/14872359

#climateresearch #digitalization #AI #generativeAI #llms #ditrare @shufan @fiz_karlsruhe @fizise @lysander07 #cityscape #skyscraper

Philadelphia cityscape with sky scrapers.
Continued thread
Public *
Mario Angst

And here's is a list of journals in my field(s) that don't suck, based on my (own, possibly evolving) criteria. I hope it grows over time, it's still pretty bleak.
marioangst.com/en/blog/posts/j

- #sustainability Science
- Policy Studies / Political science #polsci
- #networkscience
- #digitalization research
- #socsci methods

Please, if you know of other journals in those fields that don't suck, let me know. And if you are involved with one of the journals on these lists, thanks so much for your work, you rock. And if you need reviewing or anything I can help with, let me know.

marioangst.comList of journals that don’t suck – Mario Angst
Public
DiTraRe

The data for Axel Loewe's paper on investigating the role of the right atrium in atrial fibrillation using patient-specific computer models has also been published:
Martínez Díaz et al.: The Right Atrium Affects In Silico Arrhythmia Vulnerability in Both Atria
Data Repository: zenodo.org/records/10724338

The dataset contains 8 biatrial meshes and 8 monoatrial (left-only) meshes, derived from MRI and CT segmentations
#cardiology #hearthealth #digitalization #DiTraRe @fiz_karlsruhe @KIT_Karlsruhe

The Right Atrium Affects In Silico Arrhythmia Vulnerability in Both Atria This dataset contains 8 biatrial meshes and 8 monoatrial (left-only) meshes, derived from MRI and CT segmentations with annotations and fibers, ready for simulations in the cardiac electrophysiology simulator openCARP. We also provide the code to reproduce a total of 576 reentries by reading the selected parameters.par and state.roe files. The meshes were generated using AugmentA code and the simulated reentries were induced following the PEERP protocol by Azzolin et al. A carputils bundle containing the openCARP experiment, along with all associated parameters, is publicly available. The original cardiac segmentations are part of Krueger M. et al. Personalization of atrial anatomy and electrophysiology as a basis for clinical modeling of radio-frequency ablation of atrial fibrillation ``` KIT_2/ |-- src/ |-- run.py |-- induceReentry.py |-- getStimPoints.py |-- element_tag.csv |-- al_mk_H.par |-- requirements.txt |-- reproduceReentry.py |-- data/ |-- meshes/ |-- P1/ |-- monoatrial/ |-- biatrial/ . . . |-- P8 |-- monoatrial/ |-- biatrial/ |-- results/ |-- MESH_SCENARIO_STATE_CHAMBER/ (e.g P1_bi_M_LA) |-- point_X_beat_Y | |-- README.md
ExploreLive feeds
About