archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

Invited Talk - NLP Theme Meeting: "Leveraging computational social and cognitive science to understand and improve decision making"

Dates
2024-11-25 17:00 - 18:00
Archimedes NLP Theme Meeting: Invited online talk, Monday 25 November, 17:00-18:30 (Greek time)

Speaker: Hause Lin (https://www.hauselin.com/) - post-doctoral researcher at MIT, Cornell University, and the University of Regina 
Title: "Leveraging computational social and cognitive science to understand and improve decision making"

Room: Pythagoras, Archimedes Unit (1 Artemidos str., ART1 building, ground floor)
and virtually via Zoom Meetings - https://zoom.us/j/96690684196?pwd=4gvboNVDAeS1RPpA7pCcAsN34s2Pfb.1
• Meeting ID: 966 9068 4196
• Passcode: diZG80

Physical presence only for NLP theme members due to capacity restrictions. Check for additional ways to participate/dial in at the bottom of the announcement.

Abstract:
What affects online discourse and how can we improve it? Researchers and practitioners have been looking for ways to combat the spread of problematic content online. One promising intervention involves prompting users to think about the accuracy of the information before sharing it. We used computational modeling (inspired by random walk models of human decision making) to show that the intervention (6 experiments, 5,633 participants) is effective because it shifts people's attention to accuracy (but did not make them deliberate more). We then conducted three Twitter field experiments (N = 75,763) and a Facebook experiment (N = 33,043,471), which found showing users accuracy-prompt ads about three times per day reduced misinformation sharing by up to 6.3%. I'll also mention a recent experiment (N = 89,794) with collaborators at the World Bank where we focused on reducing ethnic hate and conflict on Nigerian X and quantifing network spillover effects (i.e., whether the treatment effect on treated users is also observed on these users’ followers). Finally, I'll briefly discuss ongoing projects related to lab and field experiments with large language models using a platform I built (https://www.vegapunkdoc.dev).

Speaker Bio:
We make countless decisions every day and often want our choices to lead to good outcomes for ourselves, others, and society. So, why do we often make bad decisions? My research seeks to understand and improve decision making by using an interdisciplinary approach that spans multiple levels of analysis—linking the mind, brain, and behavior—that intersect cognitive science, computational social science, and complex social systems. I complement it with a rigorous, integrative empirical strategy: I conduct survey, laboratory, and field experiments to test theories, evaluate interventions for changing decision making "in the wild," and ensure my research is internally and externally valid. My theoretical and methodological approach pushes the frontiers of social and cognitive science theories, facilitates interdisciplinary collaborations, and tackles issues affecting individuals, societies, and policies.

For ways to receive news about the NLP Group and its meetings, as well as to get check the latest information about the meetings of Archimedes NLP Theme and AUEB NLP Group, check http://nlp.cs.aueb.gr/news.html. To subscribe to the mailing list of AUEB NLP Group, send a message with subject "subscribe nodigest" to This email address is being protected from spambots. You need JavaScript enabled to view it.. If you have an AUEB account and want to receive announcements about AUEB NLP Group Meetings through MS Teams, subscribe to "AUEB NLP Group meetings" group on MS Teams (code: 01j65ny). Team members can also send text messages (chat) to other team members.

If you are an AI researcher or practitioner, please consider becoming a member of the Hellenic Artificial Intelligence Society (EETN, http://www.eetn.gr/en/).

Dial-in information:
One tap mobile
+302111984488,,96690684196#,,,,*746605# Greece
+302311180599,,96690684196#,,,,*746605# Greece

Dial by your location
• +30 211 198 4488 Greece
• +30 231 118 0599 Greece
• +1 346 248 7799 US (Houston)
• +1 360 209 5623 US
• +1 386 347 5053 US
• +1 507 473 4847 US
• +1 564 217 2000 US
• +1 646 558 8656 US (New York)
• +1 646 931 3860 US
• +1 669 444 9171 US
• +1 669 900 9128 US (San Jose)
• +1 689 278 1000 US
• +1 719 359 4580 US
• +1 253 205 0468 US
• +1 253 215 8782 US (Tacoma)
• +1 301 715 8592 US (Washington DC)
• +1 305 224 1968 US
• +1 309 205 3325 US
• +1 312 626 6799 US (Chicago)

Meeting ID: 966 9068 4196
Passcode: 746605

Find your local number:
https://zoom.us/u/aXDQvpQhS
 
 

Vision

To position Greece as a leading player in AI and Data Science

image
image

Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

NEWS

 
Archimedes and the Biomedical Research Foundation Share Latest Findings in AI and Medicine

Archimedes and the Biomedical Research Foundation Share Latest Findings in AI and Medicine

Archimedes and the Biomedical Research Foundation of the Academy of Athens successfully hosted a special collaborative session at the Panhellenic Working Group Seminars of the Hellenic Society of Cardiology. This session focused on innovative applications of artificial intelligence in medicine, with a particular emphasis on advancements in cardiology. Held on Friday, February 7, 2025, in Room MC2 of the Megaron Athens International Conference Centre, the event brought together leading experts to explore how artificial intelligence is transforming cardiovascular medicine.

Archimedes Reaches Milestone of 200 Publications

Archimedes Reaches Milestone of 200 Publications

Archimedes is proud to announce that its researchers have published over 200 scientific publications in top-tier conferences (NeurIPS, ICLR, ICML) and journals.Archimedes maintains a vibrant scientific community of over 130 researchers, including more than 60 senior researchers (faculty members from Greece and abroad), 12 postdoctoral fellows, and 55 PhD students, along with over 20 undergraduate interns from various disciplines.

Happy International Greek Language Day!

Happy International Greek Language Day!

Today, we celebrate the historical, cultural, and linguistic significance of the Greek language. While Standard Modern Greek often takes center stage, we at Archimedes - AI and Data Science Research Hub recognize the impressive diversity and great cultural significance of its numerous dialects. These dialects present both exciting opportunities and complex challenges for AI and Large Language Models (LLMs) because each one of them presents unique linguistic features and all of them are low resourced. That’s why we’re using cutting-edge AI to document, digitize, and analyze these invaluable linguistic treasures, ensuring their preservation and accessibility for generations to come.

Two Research Positions in Data Stream Management Systems & Big Data Management

Two Research Positions in Data Stream Management Systems & Big Data Management

We are pleased to announce the availability of two research positions in data stream management systems and big data management, to be co-supervised by Assistant Professor Odysseas Papapetrou from the Eindhoven University of Technology (TU/e) in the Netherlands and Professor Minos Garofalakis from the Technical University of Crete in Greece.

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

greece2.0 eu_arch_logo_en

 

Stay connected! Subscribe to our mailing list by emailing sympa@lists.athenarc.gr
with the subject "subscribe archimedes-news Firstname LastName"
(replace with your details)