Συνέδρια, Ημερίδες, Ομιλίες, Διαλέξεις Διακεκριμένων Ομιλητών

The Sports Analytics Group of the Department of Statistics of Athens University of Economics & Business (AUEB) announces the short course on

BASKETBALL DATA SCIENCE

as a part of the

6th AUEB Sports Analytics Workshop (AUEB SAW2022)

​The course will be delivered by Professor Paola Zuccolotto and Professor Marica Manisera from University of Brescia, authors of the best seller book with the same title.

The course will be  hosted in a hybrid form (virtual and live) at AUEB, Athens (Greece) on the evenings of Monday 23rd and Tuesday 24th of May 2022 (Day 1 ~12.00-16.00, Day 2 14.00-18.00, Greek time, EEST (Eastern European Summer Time), GMT+3).

Course Program

DAY 1

12.00-16.00 Monday 23/5/2022 (Hybrid)

•             Data science in basketball

•             Basketball data

•             Introduction to the R package BasketballAnalyzeR

•             Basic statistical analyses using BasketballAnalyzeR (1/2)

DAY 2

14.00-18.00 Tuesday 24/5/2022 (Hybrid)

•             Basic statistical analyses using BasketballAnalyzeR (2/2)

•             Discovering Patterns in data

•             Finding groups in data

Bibliography

•    Paola Zuccolotto and Marica Manisera, Basketball Data Science. With Applications in R. CRC Press, 2020.

•    Marco Sandri, Paola Zuccolotto, Marica Manisera (2020), BasketballAnalyzeR: Analysis and Visualization of Basketball Data. R package version 0.5.0. https://CRAN.R-project.org/package=BasketballAnalyzeR

•    Marco Sandri, The R package BasketballAnalyzeR, in: Zuccolotto P. and Manisera M., Basketball Data Science, 2020, Chapter 6.

•    Paola Zuccolotto, Marica Manisera, Marco Sandri (2021), Alley‐oop! Basketball analytics in R, Significance, 26-31 https://doi.org/10.1111/1740-9713.01507

All participants must bring their own laptops fully charged with R and the R package BasketballAnalyzeR already installed.

How to install it: https://bdsports.unibs.it/basketballanalyzer/

For any problem, please write to basketball.analyzer.help@gmail.com

All course participants will receive a certificate of attendance if they attend in both four-hour sessions.

Early registration will be available until Sunday 15 May 2022.

Web-page of Basketball Data Science course@SAW2022 is available here https://aueb-analytics.wixsite.com/saw2022/short-course

Apply now here https://aueb-analytics.wixsite.com/saw2022/registration

Limited positions are available for live attendance at the facilities of AUEB.  

The Sports Analytics Group of the Department of Statistics of Athens University of Economics & Business (AUEB) announces the

6th AUEB Sports Analytics Workshop (AUEB SAW2022)

​which will be  hosted in a hybrid form (virtual and live) AUEB, Athens (Greece) on the evenings of Thursday 26th and Friday 27th of May 2022 (~Day 1 ~17.00-21.30, Day 2 14.00-21.00, Greek time, EEST (Eastern European Summer Time), GMT+3).

The workshop will be also accompanied by a short course on Basketball Data Science (23-24 May 2022). The short course will be held in hybrid form with a limited number of places available at the facilities of AUEB.

The workshop is dedicated to the memory of Professor Stefane Kesenne, World class Sports Economist, Pioneer in the area, mentor and a good friend of Sports Analytics Group.

The Series of Sports Analytics Workshop was originally organized because of professor Kesenne.

Topics of the workshop include:

• Mathematical and physical models in sports
• Performance measures and models
• Optimization of sports performance
• Statistics and probability models
• Match outcome models
• Competitive strategy
• Game theoretical models
• Optimal tournament design and scheduling,
• Decision support systems
• Econometrics in sport
• Analysis of sporting technologies
• Computationally intensive methods
• Financial valuation in sport

Early registration will be available until Sunday 15 May 2022.

Webpage of SAW2022 is available here https://aueb-analytics.wixsite.com/saw2022.

Apply now here https://aueb-analytics.wixsite.com/saw2022/registration. 

Limited positions are available for live attendance at the facilities of AUEB. 

For the 18th consecutive year, the students of the Department of Management Science and Technology of the Athens University of Economics and Business, under the guidance and scientific supervision of the members of their faculty and the chief scientific officer, Assistant Professor, Emmanuel Zachariades, organise the Scientific Student Conference, on "Digital Transformation", on Thursday, May 19, 2022.

Tickets are available and you may secure your participation using the following link: https://www.ticketservices.gr/event/18o-foititiko-synedrio-/

For more information, click HERE

The Department of International and European Economic Studies, AUEB is organizing the scientific event on the effects of Climate Change on the Economy and the prospects of the European Economy.

The event is held in honor of Professors of the Department Mr. Nikolaos Christodoulakis and Anastasios Xepapadeas, on Friday, May 6^th from 09:30 - 18:30 in room T202 at 2 Troias Street, AUEB and online at the following links:

Morning session: 09.30 - 15.00 - zoom link [Professor Nikolaos Christodoulakis]
Afternoon session: 15.00 - 18.30 - zoom link [Professor Anastasios Xepapadeas]

Please find attached the programme of the event:

https://www.aueb.gr/sites/default/files/aueb/pdf_20220429_132455_0000.pdf

Athens University of Economics & Business

Postgraduate Program in International Negotiations

«The Negotiation Challenge 2022»

The International Scientific Conference and Negotiation Competition "The Negotiation Challenge 2022" is organized for the first time in Greece, on 28, 29 and 30 April 2022, by the Postgraduate Program in International Negotiations, Department of International and European Economic Studies at the Athens University of Economics & Business.

The Conference will open on Thursday, April 28 at the Athens University of Economics and Business, with a series of academic presentations and discussions on different aspects of the negotiations.

An integral component of the Conference is the Open Negotiation Workshop and the Round Table discussion on "Greece and The Greek Bailout Negotiations" on Thursday, April 28 at 18:15, at the Technopolis of the Municipality of Athens (Station 1 - Amphitheater "Miltiadis Evert").

The Deputy Minister of Labour and Social Affairs, Professor of Economics at AUEB Panos Tsakloglou, the President of Eurobank Georgios Zanias, Professor of European Policy and Economics at AUEB, the  General Manager and Director General of ELIAMEP and Advisor at the Bank of Greece George Pagoulatos, and the chief Researcher at the John F. Kennedy School of Government, at Harvard University, George Chouliarakis will participate in the discussions.

The Negotiation Challenge 2022 included three online rounds of qualifiers, which took place online in March with the participation of 50 teams and 150 students from leading foreign Universities of Economics, Law, and Business Administration.

The top ten teams that will qualify for the finals will compete in Athens on April 29 and 30, 2022. Among them, students from the following Universities: UC Berkeley Law, McGill University, American University Washington College of Law, William & Mary Law School, UiT The Arctic University of Norway, University of Twente, HHL - Leipzig Graduate School of Management, Charles University, Nalsar University of Law, and two teams from the Athens University of Economics and Business.

To participate in the event, use the link  https://bit.ly/3O4mygg

(Applications submitted till Apri 26^th)

Distinguished Talks Series, Department of Informatics, Athens University of Economics and Business

Date: Tuesday March 29, 2022
Time: 17:15-18:30 (EEST, UTC+3)
Title: "Restoring and attributing ancient texts using deep neural networks"
Speakers: Thea Sommerschield, Yannis Assael, Marita Chatzipanagiotou, John Pavlopoulos
MS Teams link:
https://teams.microsoft.com/l/meetup-join/19%3a894b94bada574e79a028317f65ea3ee7%40thread.tacv2/1633075027765?context=%7b%22Tid%22%3a%22ad5ba4a2-7857-4ea1-895e-b3d5207a174f%22%2c%22Oid%22%3a%225b49c8b5-6801-409c-a8f8-6e18215b3a08%22%7d

On Tuesday March 29, Thea Sommerschield, Yannis Assael, Marita Chatzipanagiotou, and John Pavlopoulos will present (remotely, via MS Teams) the work of the article "Restoring and attributing ancient texts using deep neural networks", which was recently published in Nature. Thea and Yannis were the main researchers of this work and will discuss the goals of the project, the technology that was developed, and its applications in the humanities. Marita and John will highlight the contribution of AUEB's team. The talk will be in English and will mostly target computer scientists. Presentations for humanities researchers will be announced by the speakers in the following weeks.

Research: Yannis Assael, Thea Sommerschield, Brendan Shillingford, Mahyar Bordbar, John Pavlopoulos, Marita Chatzipanagiotou, Ion Androutsopoulos, Jonathan Prag, Nando De Freitas.
Paper: https://www.nature.com/articles/s41586-022-04448-z
Cover: https://www.nature.com/nature/volumes/603/issues/7900
Video: https://youtu.be/rq0Ex_qCKeQ
Blog: https://deepmind.com/blog/article/Predicting-the-past-with-Ithaca
Ithaca online: https://ithaca.deepmind.com/

Abstract of the article:
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. Here we present Ithaca, a 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. This research shows how models such as Ithaca can unlock the cooperative potential between artificial intelligence and historians, transformationally impacting the way that we study and write about one of the most important periods in human history.

Short bios of the speakers:

Thea Sommerschield is a Marie Curie Fellow at Ca' Foscari University of Venice and Fellow in Hellenic Studies at Harvard's Center for Hellenic Studies. Thea's research uses machine learning to study the written cultures of the ancient world.

Yannis Assael is a Staff Research Scientist at Google DeepMind working on Artificial Intelligence. Ηe is featured in Forbes' "30 Under 30" distinguished scientists of Europe.

Marita Chatzipanagiotou recently graduated from AUEB's MSc program "Digital Methods for the Humanities". Marita's contribution to the article was largely based on her MSc thesis.

John Pavlopoulos is a visiting scholar at Ca' Foscari University of Venice and researcher at Athens University of Economics and Business and Stockholm University. His research interests include machine learning, especially deep learning, for natural language processing and data science.

This talk is co-organized by (i) the Natural Language Processing Group (http://nlp.cs.aueb.gr/), Dept. of Informatics, AUEB, (ii) AUEB's MSc program "Digital Methods for the Humanities" (https://www.dept.aueb.gr/el/dmh), (iii) the MADGIK group (https://www.madgik.di.uoa.gr/), Dept. of Informatics and Telecommunications, University of Athens, (iv) the Digital Curation Unit - IMSI / "Athena" Research Center (http://www.dcu.gr/), and (v) SKEL, The AI Lab (https://www.skel.ai/), Institute of Informatics and Telecommunications, NCSR "Demokritos".

18^th    e-Summer School

in Risk Finance and Stochastics

Risk Finance and Stochastics

RFS-2021

Web, 6–8 September 2021

The 18th e-Summer School in Risk Finance and Stochastics, 6 - 8 September 2021 is organized by AUEB  (Departments of Accounting & Finance, Business Administration, Statistics) in collaboration with the University of the Aegean (Departments of Statistics & Actuarial-Financial Mathematics, Financial & Management Engineering).

Due to the current situation concerning the COVID 19 pandemic, the standard operation of the Summer School would be difficult, if not impossible. However, trying to stay loyal to our usual annual meeting, we decided to transform the school into e-mode, thus enabling distant participation. Surely, we will lose the joy of meeting, interacting and exchanging views, however, we hope that next year we will be able to get back to our usual modus operandi.

As always, we will have the pleasure and honour of having with us distinguished academics in the field.

Details concerning the keynote speakers as well as the program of the school will be announced after the 15^th of August.

The school is addressed to postgraduate students, PhD students, postdocs, researchers and practitioners whoa are interested to stay informed about the latest developments in the field of stochastic finance.

There is no fee for attending the school, but interested participants should send an e-mail of intention to participate to masterst@aueb.gr , stating their name, capacity, affiliation and including a short cv (no more than 10 lines), by 25 August, so that the selection procedure can proceed on time.

The maximum number of participants will be 30 and among equivalent participants priority will be given to those who applied first.

The Organizing Committee

I. Baltas (Aegean),

G. Kouretas (AUEB),

A. Tsekrekos (AUEB),

G. Papayiannis (HNA),

S. Xanthopoulos(Aegean), 

A.N. Yannacopoulos (AUEB)

INVITATION

The Business Confucius Institute of Athens

celebrating 10 years of operation

has the honor to invite you to the Online Conference

"10 Years Athens Business Confucius Institute: the future of a prosperous collaboration"

on Wednesday 30 June 2021, at 10:00 a.m.

Τhe conference will be held online in English and your participation will be free of cost

To register, please click on the link below

https://bit.ly/3xamT7N

* The conference agenda:

https://www.aueb.gr/sites/default/files/nocfiles/CONFUCIUS_invitation_programme.pdf

Deep Generative models and Inverse Problems, 16 June, 18:00 through MS Teams https://www.dept.aueb.gr/el/sist, by Alex Dimakis Professor of Electrical and Computer Engineering Department, University of Texas at Austin, USA

Modern deep generative models like GANs, VAEs and invertible flows are demonstrating excellent performance in representing high-dimensional distributions, especially for images. We will show how they can be used to solve inverse problems like denoising, filling missing data, and medical imaging. We generalize compressed sensing theory beyond sparsity, extending Restricted Isometries to sets created by deep generative models. We will present the general framework, recent results and open problems in this space.

Biography
Alex Dimakis is a Professor at the Electrical and Computer Engineering department, University of Texas at Austin and the co-director of the NSF National institute on the Foundations of Machine Learning. He received his Ph.D. from UC Berkeley and the Diploma degree from the National Technical University of Athens. He received several awards including the James Massey Award, NSF Career, a Google research award, the Eli Jury dissertation award and the joint Information Theory and Communications Society Best Paper Award. His research interests include information theory, coding theory and machine learning.

 Προσθήκη στο Ημερολόγιό μου

Live streaming will be available on: https://www.youtube.com/watch?v=u9ihmLZbbNA