Dear Colleagues,

a parallel session within the AMASES Annual Conference (https://amases2022.community.unipa.it/home https://amases2022.community.unipa.it/home) entitled "Networks, Big Data, and Artificial Intelligence in Economics, Finance, and Social Sciences" will take place on September 22-24, 2022 in Palermo.

The session focuses on the emerging multidisciplinary study of the interconnections in finance and social science, which brings with it the necessity to deal with the growing amount of data available. A special emphasis is given to the latest advances in artificial intelligence and machine learning, which are expected to have a disruptive impact in economic, financial, and social data modeling. The special session intends to foster the dialogue between academics, regulators, and practitioners.

Theoretical and empirical papers are welcome. Topics include but are not limited to:

- contagion in social, economic, and financial networks

- network modeling of financial time-series

- big data approach to financial, economic, and social modeling

- artificial intelligence, machine learning and natural language processing in social, economic, and financial systems

It is a great pleasure to invite you to submit an extended abstract. The deadline for submission is June 13, 2022. The abstract submission Web page for AMASES 2022 is: https://easychair.org/conferences/?conf=amases2022 https://easychair.org/conferences/?conf=amases2022 specifying that your paper should be considered for our special session.

Please refer to the official web page of the conference for further details on the submission (https://amases2022.community.unipa.it/abstract-submission https://amases2022.community.unipa.it/abstract-submission).

Important dates:

June 13, 2022: Deadline for abstract submission

June 27, 2022: Notification of acceptance

For information, please contact:

Fabrizio Lillo (fabrizio.lillo@unibo.it mailto:fabrizio.lillo@unibo.it)

Michele Tumminello (michele.tumminello@unipa.it mailto:michele.tumminello@unipa.it)

Piero Mazzarisi (piero.mazzarisi@sns.it mailto:piero.mazzarisi@sns.it)

Best regards,

Fabrizio Lillo, Michele Tumminello, and Piero Mazzarisi