Annotating video in the Internet Archive’s TV News Archive, a remarkable resource that provides video clips of TV news shows since 2009.
Yesterday, the scholarly communication + AI startup Meta signed an agreement to be acquired by the Chan Zuckerberg Initiative (CZI). Aside from the initial news a few weeks ago and Joe Esposito’s article in the Scholarly Kitchen, I’ve seen few people remark on it. But it’s a big deal. A serious piece of scholarly infrastructure is being made open, free and effectively non-profit. Meta has built a cutting edge system to mine scholarly papers new and old, and allow the data to be employed in diverse ways–predicting discoveries before they’re made, projecting the future impact of papers just hours old, and unlocking the potential for innumerable applications applying computation at scale across scientific literature. In what must have taken extraordinary patience, persistence and a lot of finesse, they managed to secure access to some of the most strategic closed content in the scholarly world.
It was getting close to midnight and the Hypothesis team was watching the counter of total annotations tick up: 999,646...999,752...999,845...by 10:37pm Pacific Time it was 999,959 and we knew we’d reach one million annotations that night. People all over the world were busy taking notes using Hypothesis—students, journalists, researchers, scientists, scholars—most without knowing that our team and the annotation community on social media were rooting for their work. Countdown tweets for a #millionannotations were starting to gather an audience. Who would add the millionth annotation?
You might think that neuroscientists already have enough brains, but apparently not. Over 100 neuroscientists attending the recent annual meeting of the Society for Neuroscience (SFN), took part in an annotation challenge: modifying scientific papers to add simple references that automatically generate and attach Hypothesis annotations, filled with key related information. To sweeten the pot, our friends at Gigascience gave researchers who annotated their own papers their very own brain hats. But handing out brains is not just a conference gimmick. Thanks to our colleagues at the Neuroscience Information Framework (NIF), Hypothesis was once again featured at SFN, the largest gathering of neuroscientists in the world, attended by well over 30,000 people in San Diego Nov 12-16, 2016. The annotation challenge at SFN was a demonstration of a much larger collaboration with NIF: to increase rigor and reproducibility in neuroscience by using the NIF’s new SciBot service to annotate publications automatically with links to related materials and tools that researchers use in scientific studies.
UPDATE to a previous post "Preventing Abuse". UPDATE (2017-02-26) In 2016 we held a panel discussion on this subject at I Annotate. https://youtu.be/i2yFnu_pCGI?t=1s In light of recent events (here, here, and here), Hypothesis launched a small research initiative to gather different points of view about website publishers and authors consent to annotation. Our goal [...]
UPDATE (2016-05-24) "Involving page owners in annotation". Recent events (here, here, and here) have prompted us to rethink how the technology we are building can be used not only to discuss and enlighten, but also to harass and abuse. Here's the heart of the matter: most web annotation systems, ours included, don't currently provide [...]
I joined Hypothesis because I believe that an open annotation layer can serve as a dynamic, unifying technology for addressing some of structural weaknesses in our current biomedical platforms.
David Kennedy is a neurobiologist who periodically reviews the literature in his field and extracts findings, which are structured interpretations of statements in scientific papers. He recently began using Hypothesis to mark up the raw materials for these findings, which he then manually compiles into a report that looks like this: The report [...]