Yesterday Denmark’s new Pioneer Center for Artificial Intelligence was opened ceremonially, where Roberta took part in a panel discussion. Roberta’s role in the centre will be the new co-load of the Networks and Graphs Collaboratory together with Sune Lehmann.
The Pioneer Centre for Artificial Intelligence focuses on fundamental research, and within an interdisciplinary framework, develops platforms, methods, and practices addressing society’s greatest challenges. It brings together world-class artificial intelligence research in Denmark.
We are excited to see the novel science the centre will enable and produce, and which opportunities it will bring for attracting more world-class research to the country.
Together with Sune Lehmann and Laura Alessandretti from SODAS/DTU we are establishing the Nightingale Network: The Nightingale Network brings together faculty, postdocs, and students based in Denmark who share an interest in Computational Social Science, Complex Systems, and Network Science.
We aim to strengthen the Denmark-based data and network science community, and send out a monthly newsletter listing relevant events, news, and job postings in Denmark and beyond. Please also share your tips, calls, and job postings!
We will also organize regular gatherings. The first event was the first Nightingale Network Night which happened last week at ITU, and which successfully established and strengthened many social and culinary connections, from Scaccia to Borek and Apfelstrudel:
This year’s Cycling Research Board Annual Meeting, the premier CRBAM21 conference on cycling research, will be held in Copenhagen this week, Oct 13-15, and 3 of us will present our research (of course attending via bicycle). Click the talk titles below for the abstracts of our three current members, Anastassia Vybornova, Bojan Kostic, and Michael Szell, and of our future member Ane Rahbek Vierø:
We are back from our 2-day computer science department-wide retreat in Helsingør, the closest point to Sweden across the Øresund and the original location of Shakespeare’s Hamlet, with over 100 good colleagues, where almost all NERDS finally met in person after a very long time of pandemic avoidance – thank you Denmark for handling this situation so well! 🇩🇰
We had a lot of fun and enjoyed our time together, creating new links between us and others in the department. We are also happy to have spent time and got to know better one of our next members who will join the group in October. Here a few impressions from our trip, which felt a bit like going on a school trip after an unbearably long 2+ year absence of not seeing each other:
NERDS are currently active at this year’s International AAAI Conference on Web and Social Media (ICWSM): https://www.icwsm.org/2021/index.htmlThe International AAAI Conference on Web and Social Media (ICWSM) is a forum for researchers from multiple disciplines to come together to share knowledge, discuss ideas, exchange information, and learn about cutting-edge research in diverse fields with the common theme of online social media. This overall theme includes research in new perspectives in social theories, as well as computational algorithms for analyzing social media. ICWSM is a singularly fitting venue for research that blends social science and computational approaches to answer important and challenging questions about human social behavior through social media while advancing computational tools for vast and unstructured data.
As usual, Luca Maria Aiello fulfils his role as Senior PC member at ICWSM. Further, we published two new papers at the event:
The Healthy States of America: Creating a Health Taxonomy with Social Media, by S. Šćepanović, L.M. Aiello, K. Zhou, S. Joglekar, and D. Quercia
Since the uptake of social media, researchers have mined online discussions to track the outbreak and evolution of specific diseases or chronic conditions such as influenza or depression. Here we developed a Deep Learning tool for Natural Language Processing that extracts mentions of virtually any medical condition or disease from unstructured social media text. We applied it to Reddit and Twitter posts, analyzed the clusters of the two resulting co-occurrence networks of conditions, and discovered that they correspond to well-defined categories of medical conditions. This resulted in the creation of the first comprehensive taxonomy of medical conditions automatically derived from online discussions, which strikingly resembles the official International Statistical Classification of Diseases and Related Health Problems (ICD-11).
On yesterday’s International Day of Women and Girls in Science, Roberta took part in a corresponding event organized by her alma mater, University of Catania, Dipartimento di Fisica e Astronomia “Ettore Majorana”, delivering a keynote talk on the topic and on her research.