@alexander_lex@datavisyn@jkulinz @marc_streit It was so cool to have you here. I can hardly believe that a whole year has already passed. Looking forward to your next in-person visit together with @HeidiLex
A retreat to a secluded and beautiful location gave us the opportunity to reflect on our past trajectory and to sharpen our vision for the future. Thanks to all the people that make datavisyn a wonderful place to work!
We're hiring! With @ngehlenborg and team, shape our Master of Biomedical Informatics #HarvardMBI program, designed to advance the use of biomedical data, information, and knowledge for scientific inquiry, problem-solving, and decision making.
https://t.co/2xqsm0SMI5
📢5 new PhD student positions in Computer Science at @jkulinz and FH Hagenberg in the frame of our @FWF_at doc.funds project on 👉Human-Centered AI👈!
Supervisor team incl.
@u_bode@m_schedl
@marc_streit
@MiAf72@ACM_President
Mirjam Augstein
& me
👉https://t.co/wdEPnM8H1G
@BarbaraKaufmann Stimme ihnen grundsätzlich zu 100% zu. Im konkreten Fall hatte der Rettungswagen gottseidank zwei gleichwertige Routen.
PS: Ja, man kann kurz vorm Ziel unter dem Gebäude durchfahren.
Interested in Data Visualization in the #lifesciences? Join us for the @PistoiaAlliance#dataviz symposium we are hosting in January 2021. An impressive speaker lineup including @bangwong and @marc_streit! https://t.co/eh9NBHykhx
Liebe Community, sind Datenjournalist*innen unter euch? Wir haben für ein Forschungsprojekt eine Umfrage entwickelt: https://t.co/0hVo56HG9u Es wäre ganz wunderbar, wenn ihr euch die Zeit nehmen könntet! #ddj#datadrivenjournalism#datenjournalismus
@ConceptualJames Exploiting the tragedy of Jews who were humiliated, marked with a yellow star, isolated, starved, dehumanized, and murdered in ghettos during the Holocaust in a debate about vaccination that saves human lives during pandemic is shameful. It's a sad symptom of moral decay.
Da stehen viele gute Sätze drin. Meine zwei Lieblinge: “man muss im Kopf um parken dürfen” und “Tausche Gesichtsverlust gegen Erkenntnisgewinn”. Beides Grundlagen der Wissenschaft.