Скачать с ютуб IIOA Webinar 16: Nicolò Golinucci 27/Sep/2024 в хорошем качестве

IIOA Webinar 16: Nicolò Golinucci 27/Sep/2024

We are pleased to welcome you to the upcoming 16th IIOA Webinar scheduled for Friday, September 27th, 2024, from 3:00 PM to 4:00 PM CET. We would like to extend our gratitude to Dr. Nicolò Golinucci for hosting this webinar entitled “Input-Output Analysis meets Python: a MARIO crash course”. SHORT BIOGRAPHY & RESEARCH BACKGROUND Dr. Nicolò Golinucci is a researcher and entrepreneur in the field of sustainability and industrial ecology. He holds a PhD in Energy and Nuclear Science and Technology from Politecnico di Milano, where his thesis focused on the role of industrial ecology in evaluating strategies to reduce greenhouse gas emissions. During his doctoral studies with the SESAM group in the Department of Energy at Politecnico di Milano, Nicolò, along with colleagues Mohammad Amin Tahavori and Lorenzo Rinaldi, developed MARIO (Multifunction Analysis of Regions through Input-Output). MARIO is an open-source Python package designed to facilitate the use of input-output and supply-and-use tables in research. Currently, Nicolò is the administrator and senior researcher at eNextGen, a startup and spin-off from Politecnico di Milano. eNextGen provides sustainability services, with a particular focus on carbon footprinting, for companies looking to implement sustainable practices. Abstract: The webinar aims to provide input-output researchers with the foundational knowledge to incorporate MARIO, an open-source Python software for input-output analysis, into their analytical framework, potentially enhancing research efficiency and expanding methodological options. The structure of the webinar includes: Introduction (15 minutes): Overview of Python and existing packages for input-output analysis. Presentation of MARIO: origins, development, and key functionalities in the context of input-output analysis. Discussion on the advantages of open-source tools in academic research Practical Demonstration (30 minutes): Step-by-step guide on MARIO usage, from basic Python setup to conducting an input-output analysis. Topics include software installation, data importation, analysis execution, and result interpretation.