This training school offers a unique opportunity to discover how advanced statistical methods and artificial intelligence can be effectively applied to pressing environmental issues.

Participants will engage with a community of leading academics and experts from industry and institutions who will present powerful statistical models and algorithms tailored to environmental applications. Through hands-on sessions using real datasets and interactive lab work, attendees will learn how to translate complex theory into practical, actionable insights.

The lectures and labs are designed to help participants:

• Select the most appropriate models and algorithms for analyzing complex environmental data

• Develop interpretable, high-impact solutions aligned with the goals of the European Green Deal and the UN 2030 Agenda

• Apply open-source code and datasets provided during the school to their own research or professional projects.

Students enrolled in the postgraduate program in AI & DS, PhD students, young researchers and junior data scientists eager to enhance their skills, delving into advanced AI & DS studies, the broader academic scientific community, AI & DS practitioners keen on exploring applications in environmental issues, experts and non-experts in data science and AI companies, public and private institutions aiming to support governmental objectives for sustainable, fair, and inclusive development.

Scientific Committee:

Sabrina Giordano (Unical)

Giorgio Terracina (Unical)

Antonello Maruotti (Università LMSSA, Roma)

Francesco Lagona (Università Roma Tre)

Antonio Punzo (Università di Catania)

Alfonso Russo (Università di Roma “Tor Vergata”)

Organizing Committee:

Sabrina Giordano

Pier Francesco Perri

Ilaria Lucrezia Amerise

Vanessa Verrina

The Training School will be held at the Department of Economics, Statistics and Finance "Giovanni Anania" (DESF) of the University of Calabria, located in Cubo 0/C and Cubo 1/C (map to get to the location from the bus station).

DESF is in the Campus of Arcavacata (click here to download the official map).

The University of Calabria can be reached in different ways (click here to see the Campus on Google Maps):

• By car - take the motorway Autostrada A2 Salerno-Reggio Calabria --> Exit Rende - Cosenza Nord and follow the road signs to Università - Paola.
   

• By train - the railway station of Castiglione Cosentino (3 km away from the Campus) is the closest one, connected to the railway terminals of Paola (railway along the Tyrrhenian sea) and Sibari (railway along the Ionian sea); once you leave the railway station, walk along Via Edison for about 100 meters, then cross Via L. Da Vinci and there you will find a bus shelter where the buses heading to the University stop.
   

• By plane - Lamezia Terme Airport is the closest airport and is connected to the cities of Cosenza and Rende by bus service. Detailed information on how to reach Rende/University of Calabria or Cosenza (Bus Station) can be obtained by visiting the website www.sacal.it. Alternatively, see below:
  LAMEZIA TERME CENTRAL STATION - AIRPORT SHUTTLE SERVICE
  AIRPORT – COSENZA – UNICAL BUSES TIMETABLE
  UNICAL – COSENZA – AIRPORT BUSES TIMETABLE
  
  Another option to consider instead of flying directly to Lamezia Terme Airport is to choose a different airport and then transfer to Lamezia or travel to Cosenza via train or bus. Alternative airports include Naples, Bari, Rome, and Milan.
   

• Local Public Transportation - The Campus is served by Consorzio Autolinee lines 136 and 138 from Rende and Cosenza. For detailed timetables and route information, please visit: https://www.consorzioautolineetpl.it/quadro_orario.php.
  Buses in Cosenza leave from the bus station located in Piazza Autostazione and make an approximately half-hour journey to the university. The campus bus terminal is located near CUBO 0B. Lines to Rende start from gates 1 and 2, lines to Cosenza start from gates 2 and 3. Tickets can be purchased online or directly on the bus. They are also available at the box office near the terminal. Visit www.consorzioautolineetpl.it for more details.
  
  We also suggest visiting the Rome2Rio website to plan your journey to UniCal. This platform allows you to compare various transportation options based on factors like cost, travel time, and other relevant information, helping you find the most suitable solution for your needs.

Accommodations are located in both Cosenza and Rende. Cosenza is the main city and the centre is served by restaurants and has historical attractions. The travel time from the Cosenza bus station to the university is about half an hour. Accommodation in Rende is within walking distance of the university but the area is less historical and cultural and less well served than the centre of Cosenza.