SUMMER SCHOOL: APPLICATIONS OF ARTIFICIAL INTELLIGENCE - MACHINE LEARNING TO ESG

SUMMER SCHOOL: APPLICATIONS OF ARTIFICIAL INTELLIGENCE - MACHINE LEARNING TO ESG

Summer School 2023

The Summer School starts on Monday, June 26th and ends on Friday, June 30th.

Language: English

A Certificate of attendance by both the LEEM and the Research Center of the University of Piraeus will be issued.


The School is open to graduates who hold any degree and wishes to be informed about the workings of machine learning methods and algorithms that will help them to forecast ESG criteria scores. The maximum number of participants is 60 and they will be selected on a first comes-first served basis.


The selected participants are required to bring with them their own laptop. Notes, software and access to data will be provided by the organizers.

Given the lack of substantial research efforts to explore the role and the predictability of ESG criteria through certain methods and algorithms of Artificial Intelligence, such as Machine Learning, due to the paucity of reliable statistical data, the goal of this Educational Summer School is to familiarize the participants with the methodologies of Artificial Intelligence that provide sufficient data on ESG criteria, as well as to train them on how they can take advantage of those data in order to enhance the future course of those criteria.


The assessment will be entirely based on certain criteria such as the accuracy score. The educational results will be highly useful for those who plan to get a job in corporations whose investment and other decisions are entirely affected by the future course of ESG criteria, as well as for those who plan to provide sustainability reports to certain investors and lenders based on those predictions.


At the end of the school, the participants they will have a good command on how they can use AI tools to forecast ESG scores for companies and to identify which companies are at risk of violating ESG standards, companies that are not meeting their ESG goals, and companies that are making positive progress on their ESG goals.


Program

Monday, June 26

  • KEY DEFINITIONS, DEVELOPMENTS AND ESG DRIVERS (2 Hours): 10-12am
  • MACHINE LEARNING (2 Hours): 12:30-2:30pm
  • PYTHON FOR MACHINE/DEEP LEARNING (2 Hours): 5-7pm

Tuesday, June 27

  • ESG FACTORS AND IMPACT ON ANALYSIS/VALUATION (2 Hours): 10-12am
  • ARTIFICIAL INTELLIGENCE IN USER EXPERIENCE (2 Hours): 12:30-2:30pm
  • WEB SERVICES (2 Hours): 5-7pm

Wednesday, June 28

  • HUMAN-CENTERED ARTIFICIAL INTELLIGENCE (3 Hours): 10-12am and 12:30-1:30pm
  • MOBILE COMPUTING (2 Hours): 5-7pm

Thursday, June 29

  • ARTIFICIAL INTELLIGENCE-EMPOWERED SOFTWARE TECHNOLOGY (3 Hours): 10-12am and 12:30-1:30pm
  • FUZZY LOGIC-BASED SOFTWARE TECHNOLOGY (2 Hours): 5-7pm
  • GALA DINNER: 8-10pm

Friday, June 30

  • PANEL DISCUSSION AND POSTER SESSION (3 Hours): 10am-1pm
 

Faculty

  1. Nikolaos Apergis, Professor, Department of Banking and Financial Management, University of Piraeus

  2. Dimitrios Voliotis, Assistant Professor, Department of Banking and Financial Management, University of Piraeus

  3. Maria Virvou, Professor, Department of Informatics, University of Piraeus

  4. Georgios Tsichrintzis, Professor, Department of Informatics, University of Piraeus

  5. Efthimios Alepis, Associate Professor, Department of Informatics, University of Piraeus

  6. Evangelos Sakkopoulos, Associate Professor, Department of Informatics, University of Piraeus

  7. Dionisios Sotiropoulos, Assistant Professor, Department of Informatics, University of Piraeus

  8. Konstantina Chrysafiadi, Senior Teaching Fellow, Department of Informatics, University of Piraeus

Fees and Payment

For Professionals and Academics, the cost is 400€


For Active Students the cost is 300€


The cost includes registration fees, notes, data, software and a gala dinner. The organizers will make any effort to reserve a certain number of hotel rooms for the participants of the school; however, the participants are free to make their own accommodation efforts.



Posters Panel

The school organizes a Posters Panel for PhD students who wish to present the main points of their relevant doctoral dissertation.


Keynote Speakers

Εmmanuel Perakis,
Managing Partner
STREAM





Angeliki Vogiatzi,
Senior Policy Officer in the Sustainable Finance Unit
European Securities and Markets Authority (ESMA)






Payment Info

PAYMENT OPTIONS

PAYMENT BY BANK ACCOUNT

Payment is also possible through bank transfer. The payment should be done to the following bank account:
University of Piraeus – Research Centre
National Bank of Greece
Bank account : 19000660019
IBAN : GR7401101900000019000660019
SWIFT: ETHNGRAA
Don’t forget to mention on the payment the following :
C928 SUMMER SCHOOL (write your name and surname)

PAYMENT BY CREDIT CARD

Payment by credit card is possible through the following webpage:
https://eserv.kep.unipi.gr/ePos/default.aspx
  1. Choose : the language (on the up and right)
  2. Choose : OTHER PAYMENT
  3. Category : U.P.R.C – Research Committee
  4. Payment : 929 - C.928 SUMMER SCHOOL: APPLICATIONS OF ARTIFICIAL INTELLIGENCE - MACHINE LEARNING IN ESG CRITERIA (ENVIRONMENTAL, SOCIAL AND GOVERNANCE)
Additional details
  1. Please fill : a) VAT, b) Country, c) Full Name, d) amount
  2. Choose only Eurobank

 


Contact

You can contact us at aisummer23 (at) unipi.gr