maria bellantone 🇺🇦

Blog by me on @LinkedIn: Five things to remember when looking at #ResearchData linkedin.com/pulse/five-thi… #DataSharing #DataViz

Here is a full disk view of @NOAA’s GOES East satellite capturing the moon's shadow during the total eclipse! #Eclipse2024

🌐 CoARA is looking for passionate individuals to join our Steering Board! We have five openings, including one Vice-Chair position! If you're eager to shape the future of our coalition, this is your chance! 🚀 🗓️Deadline: Nov 13📝 Find details here: coara.eu/news/call-for-…

@ALETranslation @scispace @ScholarAI_ @protocolsIO @Phil_Gooch @scholarcy @ResearcherLife_ @mathein @TimHVines Missed the 1st session, but will catch up with the next 6 #AI tool-up Tuesdays

AI Tool-Up Tuesdays! Free training course on AI research tools revolutionizing research. The entrepreneurs behind the start-ups will train you. @scispace @ScholarAI_ @protocolsIO @Phil_Gooch @scholarcy @ResearcherLife_ @mathein @TimHVines Register: rb.gy/ut3ke

Troubling signs of plagiarism found in hundreds of IEEE conference papers. retractionwatch.com/2023/06/15/pla…

@alvinfoo @ezdubs_bot english italian

Sundar Pichai has unveiled a revolutionary #healthcare technology that employs #AI and eye scans to predict cardiovascular events with remarkable accuracy. This new development could potentially eliminate the necessity for CT scans, MRIs, and X-rays, enabling doctors to obtain a clear and comprehensive view of a patient's internal condition. Pichai emphasized that this breakthrough technology highlights the transformative potential of AI in revolutionizing patient care.

The job title ‘research manager’ may no longer be fit for purpose, says @EvelinaBrannval. Describing these people as administrators or support staff does not capture the nature of their jobs. I'm now one of them. I ❤ my job but ill at ease with job title researchprofessionalnews.com/rr-news-europe…

I'm in the top 2% of users on StackOverflow. My content there has been viewed by over 1.7M people. And it's unlikely I'll ever write anything there again. Which may be a much bigger problem than it seems. Because it may be the canary in the mine of our collective knowledge. A canary that signals a change in the airflow of knowledge: from human-human via machine, to human-machine only. Don’t pass human, don’t collect 200 virtual internet points along the way. StackOverflow is *the* repository for programming Q&A. It has 100M users & saves man-years of time & wig-factories-worth of grey hair every single day. It is driven by people like me who ask questions that other developers answer. Or vice-versa. Over 10 years I've asked 217 questions & answered 77. Those questions have been read by millions of developers & had tens of millions of views. But since GPT4 it looks less & less likely any of that will happen; at least for me. Which will be bad for StackOverflow. But if I'm representative of other knowledge-workers then it presents a larger & more alarming problem for us as humans. What happens when we stop pooling our knowledge with each other & instead pour it straight into The Machine? Where will our libraries be? How can we avoid total dependency on The Machine? What content do we even feed the next version of The Machine to train on? When it comes time to train GPTx it risks drinking from a dry riverbed. Because programmers won't be asking many questions on StackOverflow. GPT4 will have answered them in private. So while GPT4 was trained on all of the questions asked before 2021 what will GPT6 train on? This raises a more profound question. If this pattern replicates elsewhere & the direction of our collective knowledge alters from outward to humanity to inward into the machine then we are dependent on it in a way that supercedes all of our prior machine-dependencies. Whether or not it "wants" to take over, the change in the nature of where information goes will mean that it takes over by default. Like a fast-growing Covid variant, AI will become the dominant source of knowledge simply by virtue of growth. If we take the example of StackOverflow, that pool of human knowledge that used to belong to us - may be reduced down to a mere weighting inside the transformer. Or, perhaps even more alarmingly, if we trust that the current GPT doesn't learn from its inputs, it may be lost altogether. Because if it doesn't remember what we talk about & we don't share it then where does the knowledge even go? We already have an irreversible dependency on machines to store our knowledge. But at least we control it. We can extract it, duplicate it, go & store it in a vault in the Arctic (as Github has done). So what happens next? I don't know, I only have questions. None of which you'll find on StackOverflow. (I write on AI from a technical and product perspective. If you find that interesting then please do follow me for more)

@threadreaderapp get working on this, please

@threadreaderapp please unroll

Want to become a Marie Curie postdoc fellow? Join the #MSCAweek at @EURAC ! linkedin.com/posts/euracres…

Massive news: eLife to abolish accept/reject decisions: papers will just be “peer reviewed”. Others can argue about this, but lots of interesting consequences. 1/9 elifesciences.org/articles/83889

#RoadtoOpenScience So glad to hear @tonyR_H calling for sustainable careers for all of those involved in the research process, not just researchers. We don't need a strict divide between researchers and professional support staff. 👏👏👏 cc @martateperek @dannykay68

Excellent keynote at #STMFrankfurt today - "Not everything that counts can be counted, and not everything that can be counted counts." (Though we'd argue that most of your important data is more "countable" than you might think!)

In business models for OA session. Lots of comments on #DiamondOA, inspired by the excellent talk of @piotrr70. Commercial publishers can play a role in diamondOA, as publishing service providers, as long as research community remains in control of its output. #RoadToOpenScience

@niamhoconnor73 suggests deconstructing publication processes by disconnecting the peer-review from individual publications, via portable peer review. But adoption of such a post-modern #scicomms requires greater transparency of publishing services costs. #STMFrankfurt

Impressed with @Grimhawk1's talk at #STMFrankfurt about @GigaScience - a super flexible multilingual xml-first publishing platform - and on replacing APCs by covering costs with all sorts of other things from training to hacks that support grant-writing.

Key point by @marcschiltz1 on metrics and rankings. Just because you can come up with numbers and rankings doesn't mean that the evaluation system is "objective". Metrics can give a false feeling of objectivity. #RoadToOpenScience #researchassessment

Sarahanne Field @SMirandaField: Think about #openscience as a buffet and scientists should be able to pick and choose, flexibility is important. #roadtoopenscience

The primary role of science and of publishing is disseminating knowledge. There must be trust between publishers and scientists – @PeterGluckman #stmfrankfurt