Συνέδρια, Ημερίδες, Ομιλίες, Διαλέξεις Διακεκριμένων Ομιλητών

On Monday, May 29, 2023, from 19:00 to 21:00, a seminar on "AI and Tech: Innovation, Opportunities and Risks for Business and Society" will be held by Professor Theodoros Eugeniou, in Room A24 of the main building (76 Patision Street) of the Athens University of Economics and Business.

Dr. Theodoros Eugeniou is a Professor of Decision Sciences and Technology Management at INSEAD Business School in France and Visiting Professor at the Department of Management Science and Technology of AUEB.

The seminar will take place in the English language and is addressed to the postgraduate and doctoral students of the AUEB's programs as well as to the students of the Erasmus program.

To watch the seminar, you need to register at the link: https://forms.gle/B22437N431bf3EWw6

Seminar Description:

«Tech innovations - for example internet and AI based ones - have been the focus of startups, large businesses, investors, and research for a couple of decades, with impressive results. With hindsight, it may come as a surprise that only recently – perhaps the past 5-10 years – we started to also closely consider the potential risks these technologies can create. Regulators are also developing several new requirements for online platforms and for using AI in practice. Technological progress may not only prove risky but also risks slowing down if we do not manage both tech opportunities and risks at the same time. The recent letter of Musk and others to “pause AI progress” testifies to this. How can we balance these? What does it mean for business, society, and potentially even (geo)politics? How can you participate in this unfolding global game as managers or entrepreneurs and create value for yourself, your organizations, your country, and the world?»

Short biography of Speaker:

Dr. Theodoros Eugeniou is Professor of Decision Sciences and Technology Management at INSEAD (France) and Director of the Executive Program "Transforming your Business with AI". He holds four degrees from MIT (BSc in Mathematics and BSc, MSc and PhD in Computer Science).

He has been working in research in the scientific areas of Machine Learning and Artificial Intelligence for the past 25 years, on topics such as artificial intelligence innovations to optimize business processes and improve decision-making in marketing and finance, the institutional framework for artificial intelligence, as well as new methods machine learning.

He has published over 70 scientific articles, several of them in leading scientific journals. He is a Member of the OSA Artificial Intelligence Expert Network, a BCG Henderson Institute Consultant and an Academic Advisor on Artificial Intelligence to the World Economic Forum. He has been awarded twice (2005 and 2007) with the European Case Study Award in the "Knowledge, Information & Communication Systems Management" category.

ΑΙ@AUEB talk, Tuesday 23 May, 16:15-17:30 (hybrid presentation, Greek time)

Speaker: Angelos Alexopoulos (Dept. of Economics, AUEB)

Title: A machine learning and network approach to Value Added Tax fraud detection

Abstract:
Value Added Tax (VAT) fraud erodes tax revenues and puts legitimate businesses at a  disadvantaged position thereby impacting inequality.
Identifying and combating VAT fraud before it occurs is therefore important for welfare. This paper proposes suitably flexible machine learning algorithms for detection of VAT fraudulent transactions. The innovation of the algorithms is in utilising the information provided by their VAT structure. Making use of the universe of Bulgarian VAT data the fraud detection algorithms detect around 50 percent of the VAT fraud and outperform well-known techniques that ignore the  network of VAT transactions. Importantly, the proposed methods are automated, and can be implemented following the taxpayers' submission of their VAT returns, enabling tax revenue authorities, in the EU and elsewhere, to prevent large losses of tax revenues through performing early identification of fraud between business-to-business transactions within the VAT system.
The approach developed can be applied to similar problems where network interactions exist and can be quantified, such as fraud in online transactions, in insurance and social security systems as well as in telecommunication systems.

Room: T105, Troias building

and virtually via MS Teams:
https://teams.microsoft.com/l/meetup-join/19%3aOiYUJgd5vTDTv9p0FnXvTdZ9TTZxIBRHwZzEpD02P-Y1%40thread.tacv2/1683621333082?context=%7b%22Tid%22%3a%22ad5ba4a2-7857-4ea1-895e-b3d5207a174f%22%2c%22Oid%22%3a%225b49c8b5-6801-409c-a8f8-6e18215b3a08%22%7d

To subscribe to the mailing list of AI@AUEB, send a message (with any subject and body) to ai_meetings-subscribe@lists.aueb.gr. If you have an AUEB account and want to view all scheduled AI @ AUEB Lecture Series in your MS Teams calendar, subscribe to the "AI@AUEB" group on MS Teams
(code: r2dtl45). 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/).

SAW2023 - Short course on Football Analytics - 2-3 May 2023

THE DEPARTMENT OF ECONOMICS OF THE ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS

WITH THE FINANCIAL SUPPORT OF HELLENIC FOUNDATION FOR RESEARCH AND INNOVATION

ORGANIZES AN INTERNATIONAL CONFERENCE ON

Refined Econometrics and Endogeneity

11:30 am – 17.00 pm, April 7th, 2023, Athens, Greece

Conference Venue: Athens University of Economics & Business (Troias Str Building)

Host Institution: Athens University of Economics & Business (AUEB)

Organizing committee: Dimitris Christopoulos (AUEB (IEES), Yiannis Dendramis (AUEB (Econ)) and Elias Tzavalis (AUEB (Econ))

Financial support: Hellenic Foundation for Research and Innovation under the “First call for H.F.R.I. Research Projects to support Faculty members and Researchers and the procurement of high-cost research equipment grant” (project no: HFRI-FM17-3532). 

Conference Programme (pdf)

UNESCO Chair on Digital Methods for the Humanities and Social Sciences

Seminar Series: Digital Work

Wednesday, 15 March 2023, 4:30 p.m.
Trias Building, Room 107, Trias 2 & Spetson, Athens 11362

and online via: https://www.dept.aueb.gr/el/dmh/LiveSeminar

Speakers:
Dr. Yannis Assael, Staff Research Scientist, Google DeepMind
Dr Thea Sommerschield, Marie Skłodowska-Curie fellow, Ca' Foscari University of Venice
Dr. John Pavlopoulos, Researcher, Athens University of Economics and Business

Topic: Predicting the past: AI for Ancient Greek Epigraphy

Abstract

Ancient history relies on disciplines such as epigraphy - the study of inscribed texts known as inscriptions - for evidence of the thought, language, society and history of past civilizations. However, over the centuries, many inscriptions have been damaged to the point of illegibility, transported far from their original location and their date of writing is steeped in uncertainty. In this talk we will present Ithaca, the first deep neural network for the textual restoration, geographical attribution and chronological attribution of ancient Greek inscriptions. Ithaca is designed to assist and expand the historian’s workflow. The architecture of Ithaca focuses on collaboration, decision support and interpretability. While Ithaca alone achieves 62% accuracy when restoring damaged texts, the use of Ithaca by historians improved their accuracy from 25% to 72%, confirming the synergistic effect of this research tool. Ithaca can attribute inscriptions to their original location with an accuracy of 71% and can date them to less than 30 years of their ground-truth ranges, redating key texts of Classical Athens and contributing to topical debates in ancient history. Ithaca actively demonstrates how Artificial Intelligence can unlock the cooperative potential of the Sciences and the Humanities, for a better understanding of our nature and transformationally impacting the study of one of the most significant periods in human History.

Yannis Assael

Dr. Yannis Assael is a Staff Research Scientist at Google DeepMind working on Artificial Intelligence, and he is featured in Forbes' "30 Under 30" distinguished scientists of Europe. In 2013, he graduated from the Department of Applied Informatics, University of Macedonia, and with full scholarships, he did an MSc at the University of Oxford, finishing first in his year, and an MRes at Imperial College London. In 2016, he returned to Oxford for a DPhil degree with a Google DeepMind scholarship, and after a series of research breakthroughs and entrepreneurial activities, he started as a researcher at Google DeepMind. His contributions range from audio-visual speech recognition to multi-agent communication and AI for culture and the study of damaged ancient texts. Throughout this time, his research has attracted the media's attention several times, has been featured on the cover of the scientific journal Nature, and focuses on contributing to and expanding the greater good.

Thea Sommerschield

Thea Sommerschield is a Marie Skłodowska-Curie fellow at Ca’ Foscari University of Venice. Her research uses machine learning to study the epigraphic cultures of the ancient Mediterranean world. Since obtaining her DPhil in Ancient History at the University of Oxford in 2021, she has been the Ralegh Radford Rome Awardee at the British School at Rome, Fellow in Hellenic Studies at Harvard’s Center for Hellenic Studies and Research Innovator at Google Cloud. She co-led the Pythia (2019) and Ithaca (2022) projects, and has worked extensively on Sicilian epigraphy.

John Pavlopoulos

John Pavlopoulos is a researcher currently affiliated with the Athens University of Economics and Business (AUEB) and Stockholm University (SU). Before that, he was a visiting scholar at Ca' Foscari University of Venice (Venice Centre for Digital and Public Humanities) and a senior lecturer (fixed-term) at SU. His BSc was in Applied Mathematics and Physical Sciences at the National Technical University of Athens, his MSc was in Artificial Intelligence at the University of Edinburgh, and his Ph.D. at AUEB was focused on aspect-based sentiment analysis. His research is focused on machine learning for natural language processing and his recently published work concerns opinion polarization, toxic language detection and mitigation, diagnostic captioning, Homeric computational authorship analysis, and Ithaca.

The Department of Accounting and Finance of the Athens University of Economics and Business (AUEB) and the ACCA (Association of Chartered Certified Accountants) organization invite you to the conference they co-organize on Tuesday, March 7 at 9:00 a.m. in the Antoniadou Amphitheater at AUEB.

The event will host renowned professionals in Accounting and Finance, who will inform the student audience about important issues on sustainability and emerging new technologies in Accounting and Finance. They will also provide important information on future career prospects in the Accounting and Finance disciplines.

Students will have the unique opportunity to participate in a business game, which will provide them the opportunity to get an insight into Accountancy and Finance profession, in a fun and interactive way. To participate in the business game, it is required that the students form groups (consisting of a maximum of 5 members each group) and the registration for each individual student is at the following link (closing date: February 19):

https://www.eventbrite.com/e/acca-business-game-the-future-leader-aueb-7th-march-tickets-517525451557 
 

In the attached file of this announcement, more information about the business game is provided.

Your presence would be a special honor for us.

Georgia Siougle (gsiougle@aueb.gr)
Leonidas Doukakis (ldoukakis@aueb.gr)
Efthimios Demirakos (demirakos@aueb.gr)
Sotirios Karatzimas (skaratzimas@aueb.gr)
Athanasios Sakkas (asakkas@aueb.gr)

UNESCO Chair on Digital Methods for the Humanities and Social Sciences

Seminar Series: Digital Work 

Thursday, 26 January 2023, 4-5 p.m. 
Trias Building, Room 106, Trias 2 & Spetson, Athens 11362

and via MSTeams: https://www.dept.aueb.gr/el/dmh/LiveSeminar 

peaker: Jonathan Matthews, Head, Yad Vashem Photo Archive
Topic: "Understanding history through photo collections in a digital age - the challenges of Holocaust Archives in the future"

More info: Link

AUEB Business Analytics Laboratory and AI@AUEB talk

Title: AI Explainability and Tech Trust & Safety
Presenter: Theodoros Evgeniou, INSEAD
Scheduled: Monday 2022-12-19, 13:00 (Greek Time)
Room: T107 (Troias building)
and virtually via MS Teams:

https://teams.microsoft.com/l/meetup-join/19%3aOiYUJgd5vTDTv9p0FnXvTdZ9TTZxIBRHwZzEpD02P-Y1%40thread.tacv2/1670931260154?context=%7b%22Tid%22%3a%22ad5ba4a2-7857-4ea1-895e-b3d5207a174f%22%2c%22Oid%22%3a%225b49c8b5-6801-409c-a8f8-6e18215b3a08%22%7d

## Abstract
Discussions about trustworthy and responsible AI have become central across multiple communities in recent years -  machine learning, law, social sciences, among others. A key challenge regarding trust in AI - also considered important by regulators as part of transparency for some AI applications - is to understand why black boxes may be making specific predictions. As a result, explainable AI (XAI) has been a growing topic of research. In this talk, I will discuss some potential drawbacks XAI may have - including the potential to erode safety in practice - and also present some work that takes into account behavioural aspects researchers and practitioners may need to consider when developing XAI.

## Speaker bio
Theos Evgeniou is a professor of Decision Sciences and Technology Management at INSEAD and director of the INSEAD Executive Education program on Transforming your Business with AI.

He has been working on Machine Learning and AI for the past 25 years, on areas ranging from AI innovations for business process optimization and improving decisions in Marketing and Finance, to AI regulation, as well as on new Machine Learning methods. His research has appeared in leading journals, such as in Science Magazine, Nature Machine Intelligence, Machine Learning, Lancet Digital Health, Journal of Machine Learning Research, Management Science, Marketing Science, Harvard Business Review magazine, and others.

Professor Evgeniou is a member of the OECD Network of Experts on AI, an advisor for the BCG Henderson Institute, an advisor for the World Economic Forum Academic Partner for Artificial Intelligence, and together with three INSEAD alums also a co-founder of Tremau, a B2B SaaS company whose mission is to build a digital world that is safe & beneficial for all. He gives talks and consults for a number of organisations in his areas of expertise, and in the past he has been involved in developing hedge fund strategies with more than $100 million invested. He has received four degrees from MIT, two BSc degrees simultaneously, one in Computer Science and one in Mathematics, as well as a Master and a PhD degree in Computer Science.

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To subscribe to the mailing list of AI@AUEB, send a message (with any subject and body) to ai_meetings-subscribe@lists.aueb.gr. If you have an AUEB account and want to view all scheduled AI @ AUEB Lecture Series in your MS Teams calendar, subscribe to the "AI@AUEB" group on MS Teams
(code: r2dtl45). 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/).
===
 

«Croatia's Path to the EU and the Eurozone»: The M.Sc. Program in International Negotiations of the Department of International and European Economic Studies of the Athens University of Economics and Business is organizing a Special Lecture by Mr. Boris Vujčić, Governor of the Central Bank of Croatia, in collaboration with Get Involved.

Public discussion: George Pagoulatos, Professor of European Politics and Economy at the Athens University of Economics and Business (AUEB), Visiting Professor at the College of Europe in Bruges.

The event will take place on December 8, 2022 at the Radisson Blu Park Hotel (18:00).

 Supported by ELIAMEP

International Conference on

«Non-linear Econometrics and Endogeneity»

December 16th, 2022, Athens, Greece
10:30 am – 17.30 pm

Host Institution: Athens University of Economics and Business

Organizing committee:
Dimitris Christopoulos (AUEB (IEES), Yiannis Dendramis (AUEB (Econ)) and Elias Tzavalis (AUEB (Econ))

Conference Venue: The conference will take place at Radisson Blu Park Athens
(Atlantis Room), 10, Alexandras Av 10682 Greece

Financial support: Hellenic Foundation for Research and Innovation under the ’First call for H.F.R.I. Research Projects to support Faculty members and Researchers and the procurement of high-cost research equipment grant’ (project no: HFRI-FM17-3532)).

Conference Agenda: 
https://www.aueb.gr/sites/default/files/aueb/Brochure_conf_16_12_elidek_final.pdf