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Data pubblicazione: 19.01.2022
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Martina Iori joined the Institute of Economics of the Sant’Anna School and EMbeDS as an Assistant Professor (RDT-A) in Economic Policy. Previously, she worked as a postdoctoral fellow at the Institute of Economics.

Martina received a PhD in Economics from the University of Turin and Collegio Carlo Alberto in 2019. During her PhD, she spent a period as a visiting researcher at the Department of Network and Data Science of the Central European University (Budapest). She also holds an MA in Economics and Complexity from Collegio Carlo Alberto, and an MSc in Theoretical Physics from the University of Turin.

Martina’s research interests focus on the application of big data and computational techniques to economic analyses, with a particular focus on the economics of innovation and knowledge. More specifically, her research combines network science and text-mining methodologies to define and investigate the properties of indicators that capture the determinants of innovation.

During her doctoral studies, she looked at the interplay among diversification, novelty, and impact in the development of science and technology. She continued to explore processes that encourage innovation during her postdoctoral research by applying network science and big data techniques to track technological trajectories and detect the long-term effects of public funding on innovation activities, especially in technologies belonging to Industry 4.0. Her research was published in high-impact journals, such as Research Policy, and presented at prestigious international conferences, including the NBER Innovation Information Initiative technical meeting.

What are Martina’s plans for this new chapter of her academic career, in connection with the objectives of EMbeDS?
I plan to continue to explore innovation trajectories and long-term technological dynamics through the application of modern computation methodologies. With the increasing availability of large and complex datasets on science and technology, I will have the opportunity to dig into unexplored aspects of innovation and develop new indicators to capture scientific and technological dynamics.