archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[Archimedes Talks] Contagion in Large-Scale Networks: Frameworks for Resource Allocation and Model-Agnostic Simulation

Dates
2025-04-09 14:30 - 16:00
Venue
Artemidos 1 - Amphitheater

Title: Contagion in Large-Scale Networks: Frameworks for Resource Allocation and Model-Agnostic Simulation


Speaker: Marios Papachristou (final-year PhD candidate, Cornell University)

Abstract:  In this talk, I focus on resource allocation in dynamically changing complex environments that undergo contagion in the real world, such as peer-to-peer lending networks, viral marketing campaigns, ridesharing, and financial networks. In these systems, a planner needs to allocate resources subject to a budget to cause or prevent contagion. These environments are often very large-scale and dynamically changing and usually have missing links. The current presentation aims to provide insights on two problems:

First, I present a model for allocations that can be provably and efficiently solved in large-scale networks and is more flexible than existing contagion models. 

Second, I briefly focus on the absence of data in such networks and the limitations of existing agent-based models. Given the recent successes of Large Language Models (LLMs), I show that collectives of LLMs exhibit several macroscopic characteristics that are similar to human dynamics, such as preferential attachment and long-tailed degree distributions, homophily, and triadic closure. Finally, I suggest several avenues of research based on this paradigm.

(The talk contains joint work with Jon Kleinberg, Sid Banerjee, Amin Rahimian, Yuan Yuan, Chin-Chia Hsu, and Longqi Yang)

Short Bio: Marios Papachristouis a final-year Ph.D. candidate in the Computer Science Department at Cornell University,  advised by Prof. Jon Kleinberg, and is joining the Department of Information Systems at the W.P. Carey School of Business at Arizona State University as a tenure-track Assistant Professor in Fall 2025. Marios works on algorithms and networks, exploring their roles within large-scale social and information systems, and understanding their wider societal implications. His research has been supported by an Onassis Scholarship and a LinkedIn Ph.D. Fellowship, a Cornell Fellowship, as well as grants from the A.G. Leventis Foundation and the Gerondelis Foundation. 

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Vision

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

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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 Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Research Unit of the Athena Research Center, Greece, is featured in a recent article in Dnews. This article is about an Archimedes flagship project in cardiology and AI that aims to use "two-dimensional echocardiographic data to develop deep learning tools and improve the treatment of heart problems."

Best Paper Award at FAIEMA 202

Best Paper Award at FAIEMA 202

Vasileios Moustakas, PhD student at the School of Electrical and Computer Engineering - NTUA and Academic Fellow at Archimedes, Athena Research Center, Greece, Konstantinos Cheliotis and Anna Mylona, both MEng students at the School of Electrical and Computer Engineering - NTUA and interns at Archimedes, Athena Research Center, Vassilis Alimisis, Postdoctoral Researcher at Archimedes, Athena Research Center, and Paul Sotiriadis, Lead Researcher at Archimedes, Athena Research Center, and a Professor at the School of Electrical and Computer Engineering - NTUA, received the Best Paper Award (PhD Symposium) at the

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Giorgos Papanastasiou, Lead Researcher at the Archimedes Research Unit of the Athena Research Center, Greece,and Faculty Research Fellow at Edinburgh Imaging, at the University of Edinburgh, the Queen’s Medical Research Institute, Edinburgh, UK, has co-published a Nature Communications paper on "Clinical implications of bone marrow adiposity identified by phenome-wide association and Mendelian randomization in the UK Biobank."Prof. Papanastasiou mentions that "this project is a strong testament to the power of augmenting biological research with advanced AI and data science methods."

 
 

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.

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