Artificial Intelligence
Data Science
Algorithms
archimedes-Artificial Intelligence, Data Science, Algorithms-greece
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Algorithms
Data Science
Artificial Intelligence
[Archimedes Talks Series] From Monopoly to Competition: When Do Optimal Contests Prevail?
Dates
2024-08-30 13:00 - 14:00
Venue
Archimedes Ampitheater - Marousi
Title: From Monopoly to Competition: When Do Optimal Contests Prevail?
Presenter: Prof. Ron Lavi (U. of Bath, UK)
Abstract: We study competition among simultaneous heterogeneous contest designers, allowing a large contest design space. Symmetric contestants choose a contest and each contest designer aims to maximize the contestants’ sum of efforts exerted in her contest. We show that optimal contests in the monopolistic setting (i.e., those that maximize the sum of efforts in a model with a single contest designer) form Pareto-optimal equilibria when contest designers compete. Under a natural assumption, monopolistic optimal contests are in fact dominant in the competitive case, and the equilibria they form are unique. In many natural cases, they also maximize the social welfare.
Joint work with Xiaotie Deng, Yotam Gafni, Tao Lin, and Hongyi Ling
Short Bio: Ron Lavi is a reader (associate professor) at the economics department, University of Bath, UK. His research focuses on subjects on the border of economics and computation, mainly algorithmic game theory, auction theory, and the efficient design of economic mechanisms. He completed his doctoral studies in computer science at the Hebrew University, Israel, and his post-doctoral studies at the California Institute of Technology. He was a faculty member at Technion – Israel Institute of Technology during 2006 – 2023, a visiting scholar at UC Berkeley during 2013 - 2015, and a consultant / academic visitor at Google, Microsoft research, and Yahoo! Labs.
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Vision
To position Greece as a leading player in AI and Data Science
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).
Christos Papadimitriou Speaks on “Artificial Intelligence: its History, its Present, and its Uncertain Future”
24 March 2026
Christos Papadimitriou, Donovan Family Professor of Computer Science at Columbia Engineering at Columbia University, USA, and Principal Scientist at the Archimedes Research Unit of the Athena Research Center, Greece, spoke about “Artificial Intelligence: its History, its Present, and its Uncertain Future” during the ten-year anniversary event of diaNEOsis think tank, which took place on March 11, 2026, at the Stavros Niarchos Foundation Cultural Center (SNFCC).
Vasia Papanikou to Present the MIMOSA Fairness Exploration Tool at EDBT/ICDT 2026 Joint Conference
24 March 2026
Vasia Papanikou, a PhD student at the University of Ioannina and an Academic fellow at Archimedes, Athena Research Center, Greece, will be demonstrating "MIMOSA: A Tool for Fairness Exploration Through Explanations" at the 29th International Conference on Extending Database Technology (EDBT/ICDT 2026), taking place from March 24–27, 2026, at Tampere, Finland.
Archimedes Academic Fellow Andreas Lolos Presents Research at WACV 2026
16 March 2026
Archimedes Academic Fellow and a third-year PhD student at the National and Kapodistrian University of Athens in Greece, Andreas Lolos recently travelled to Tucson in Arizona, USA, and presented the paper "SGPMIL: Sparse Gaussian Process Multiple Instance Learning" at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2026).
6 Accepted Papers at ICLR 2026
11 March 2026
The Archimedes research unit of the Athena Research Center in Greece has six papers accepted at this year's International Conference on Learning Representations (ICLR) gathering, including one oral presentation. The acceptance rate for posters was about 25,8% and about 1,1% for oral presentations. Please bear in mind that ICLR, along with NeurIPS and ICML, is considered one of the three top-tier artificial intelligence and machine learning conferences in the world.
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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