I recently gave a 1 hour talk to the Chinese American Librarians Association(CALA) Asia Pacific Chapter on my favourite topic - How "AI" is changing academic searchI have being giving many versions of this talk both internally in my institution (to librarians) and externally for almost two years and it has always been very tricky to do well.This is because I believe for librarians to really appreciate and engage with all the changes that what

A small map-extract of Venado Tuerto over four time points in 2024, showing the addition of buildings and POI. tl;dr: One can now create >2 frames in the OSM comparison GIF. And the MyBinder version can download OSM history files , no local up/downloads needed.

As more and more academic search tools start to increasingly leverage on the fruits of "AI" (actually transformer based models) and librarians start to encounter such tools where it is from brand new products like Elicit.com, SciSpace, Scite.ai assistant etc or from existing vendors bundling in AI such as Scopus AI, Primo Research Assistant, Statista Research AI etc (see list here), it becomes even more critical for librarians to understand how

If you pick dates close to each other, they also make for a great “find the differences”-puzzle. tl;dr: One can now create before/after maps of OpenStreetMap with osm-mapping-party-before-after right in the browser, thanks to MyBinder. Just click here to launch it. For a good 6 months now, I’ve been contributing to OpenStreetMap virtually every day.

Google Scholar turned 20 last month and Nature wrote a piece with the title "Can Google Scholar survive the AI revolution?" and quoted as saying This led me to think, how and when do I use Google Scholar vs other "AI search tools"?

Ein Gastbeitrag von Philipp Kandler (WiNoDa, ORCID: 0000-0002-5701-4820) Am 20. November 2024 fand die zweite Veranstaltung der Reihe ‚Quo Vadis offene Wissenschaft in Berlin und Brandenburg 2024/25‘ unter dem Titel Objektbezogenes Open Access – Open Access für Objekte statt.

In 2020, Joachim Schöpfel and I planned to publish an anthology on research data, topics to be covered should include issues such as fake data (even then we were thinking about AI-generated data) and their detection, data markets, data reuse rates, blockchain, and health data. However, we had underestimated what had changed since 2018. Back then Open Divide – Critical Studies on Open Access, edited by Joachim and me was published.

Ever since a certain someone bought Twitter, I’ve been quite invested into using the Fediverse as my main social web efforts. My Mastodon timeline does a good job for short-form text updates. And Pixelfed is a great nascent Instagram-replacement. One thing I particularly enjoy about both of them is the fact that they bring back the simple, chronological timeline.

I have a controversial and perhaps somewhat surprising (to some) view.

Wenn mensch einmal anfängt, darauf zu achten, erweist sich Wissenschaft an vielen Stellen als ein erstaunlich schmutziges Geschäft. Das ist allen irgendwie an der Wissenschaft Beteiligten klar.