AUEB
Statistical
Data Science
&
Economics
Conference 2024
28-30 August 2024, Aegina Island
We are pleased to announce the first Statistical Data Science and Economics Conference.
This series of conferences will focus on the intersection of Statistical Data Science and Economics, uncovering innovative methodologies to analyze and interpret economic phenomena in the digital age. This conference provides an opportunity for experts and enthusiasts to exchange insights, bridging the gap between data-driven approaches and economic theories for impactful decision-making.
The conference is jointly organized by the Department of Statistics, the Department of Economics and the Department of International & European Economic Studies of Athens University of Economics and Business.
Topics Included
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Economics
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Econometrics
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Time Series
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Financial Analytics
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Economic Analysis
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Bayesian Theory
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Statistical learning
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Statistical modelling
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Computational statistics
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Machine learning
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Artificial intellingence
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Psychometric models
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Sport analytics
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Advanced visualization
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Data storytelling techniques
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Latent variable models
Important Dates
Oral presentation deadline:
31 July 2024
Poster submission deadline:
20 August 2024
Poster Instructions
Size of paper: A0
Format: Portrait
Click here to download
the poster template
Organizing Committee
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Ioannis Ntzoufras (Chair of the Conference, Athens University of Economics and Business)
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Dimitris Karlis (Athens University of Economics and Business)
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Angelos Alexopoulos (Athens University of Economics and Business)
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Panagiotis Papastamoulis (Athens University of Economics and Business)
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Ioannis Bilias (Athens University of Economics and Business)
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Vasilis Chasiotis (Athens University of Economics and Business)
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Anna Nalpantidi (Athens University of Economics and Business)
Scientific Committee
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Angelos Alexopoulos (Athens University of Economics and Business)
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Dimitris Karlis (Athens University of Economics and Business)
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Ioannis Ntzoufras (Athens University of Economics and Business)
-
Petros Dellaportas (Athens University of Economics and Business)
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Ioannis Bilias (Athens University of Economics and Business)
-
Tzavalis Elias (Athens University of Economics and Business)
SCHEDULE
Short Courses (3 hrs each)
Short Course 1: Angelos Alexopoulos (AUEB) - Causal Inference
Short Course 2: Ioannis Vrontos (AUEB) - Predictive Analytics in Macroeconomic and Financial Applications
Short Course 3: Pantelis Kammas (AUEB) - Historical Natural Experiments: Connecting Economics and Economic History
The Conference Program will be available soon!
The Book of Abstracts will be available soon!
Wednesday
28th
August 2024
9.00-10.30 Registration
10.30-12.00 Short Course 1 (Part A)
12.00-12.15 Coffee Break
12.15-13.45 Short Course 2 (Part A)
13.45-15.00 Lunch Break
15.00-16.00 Invited Talk
16.00-18.00 Research Presentations
Thursday
29th
August 2024
9.30-11.00 Short Course 3 (Part A)
11.00-11.15 Coffee Break
11.15-12.45 Short Course 1 (Part B)
12.45-13.00 Coffee Break
13.00-14.00 Invited Talk
14.00-15.00 Lunch Break
15.00-18.00 Research Presentations
20.00-21.00 Poster Session
Friday
30th
August 2024
9.30-11.00 Short Course 2 (Part B)
11.00-11.15 Coffee Break
11.15-12.45 Short Course 3 (Part B)
12.45-13.00 Coffee Break
13.00-15.30 Research Presentations
VENUE
Danae Hotel is a 3-star hotel and is located on the coastal road of Aegina island. All the conference participants should have booked a room in Danae Hotel in order to register at the AUEB Statistical Data Science Conference. Information about Danae's Hotel rooms availability can be found here.
Below some information about how to reach Danae Hotel from Athens:
If you are traveling by plane the closest airport to the island is the Athens International Airport, called Eleftherios Venizelos. From the airport to Piraeus you can reach
a) by train
b) by shuttle bus
c) by taxi or
d) by rental car
After you have reached the port of Piraeus you can go to Aegina island by Ferry or by Flying Dolphing.
More information about how to reach Aegina island from the Athens International Airport is available here.
contact
For more information please contact us on auebstatdatasciecon@gmail.com