Media Coverage

Over the years, I have had the opportunity to collaborate on numerous research, innovation, and R&D projects with research and art centers, public institutions, NGOs, international oganizations and companies; several of these initiatives attracted public interest and received media coverage.

CISCO x Venywhere (2022-2024)

In the fall of 2021, I was awarded a REACT-EU fellowship to co-lead at the Venice School of Management, alongside Prof. Massimo Warglien, the development of a participatory research project and spin-off (called Venywhere) with CISCO's team led by Gianpaolo Barozzi (Global Innovation and Technology Officer) and Stefania Capelli (People & Communities Manager).

For more than two years, we collaborated first in Venice (CISCO x Venywhere project) and then in Rhodes (CISCO Island project).
Each year, CISCO sent to an agreed destination about 20 employees from different countries, units, and roles, to work-from-anywhere for a period of three months. Remote workers were supported through the combination of enabling technologies (AI, ICT, social media) and socio-economic innovation.

Our research focused on measuring and analyzing work-from-anywhere and work interactions dynamics —in terms of work day schedule, team communication and work coordination, performance, well-being, and work-life balance.
I was personally responsible for designing the hybrid research methods and data collection strategy for the project, which included numerous participatory research approaches, as well as surveys, high-frequency polls through WebEx, workspace booking system design and data analysis, ethnography, interviews, workshops with participants and stakeholders, and web-platform based data collection and analysis.

Our project proved to be highly significant for the city of Venice and the island of Rhodes, receiving frequent coverage in the international press and news.

Business Insider (2024) https://www.businessinsider.com/donald-trump-tmtg-meme-stock-crash-truth-social-election-wealth-2024-4?op=1

RAND Corporation (2024) https://www.rand.org/content/dam/rand/pubs/research_reports/RRA2500/RRA2533-1-v2/RAND_RRA2533-1-v2.pdf
CF News (2024) https://www.unive.it/pag/16584/?tx_news_pi1%5Bnews%5D=15535&cHash=01b1d0092c33bb12153968ebca56a15c
Financial Planning Association (2023) https://www.financialplanningassociation.org/learning/publications/journal/SEP23-who-uses-social-media-investment-advice-OPEN

Meme Stocks (2020-2024)

While working at the Venice School of Management, I collaborated with Matteo Iacopin and Michele Costola on a research project examining the dynamics of meme stocks —equities that experience rapid price surges driven by social media attention rather than traditional financial fundamentals. Our study demonstrated that retail investors, through online coordination on platforms like Twitter, can collectively exert market influence akin to that of large institutional traders, potentially leading to significant market distortions.

Our work received attention from various financial news outlets, which highlighted our contributions to understanding the socio-technical mechanisms underpinning new forms of financial collective action. By bridging quantitative finance and media studies, our research offered critical insights into the evolving landscape of digitally mediated investing, with implications for market regulators, financial institutions, and policymakers.

Il Giornale dell'Arte / The Art Newspaper (2023) https://www.ilgiornaledellarte.com/NotizieInBreve/giorno-per-giorno-nellarte-8-novembre-2023
ArsElectronica (2023) https://ars.electronica.art/citizenscience/de/aquagranda-a-digital-community-memory/ https://ars.electronica.art/who-owns-the-truth/files/2023/08/festival2023.pdf
The National Herald (2023) https://www.thenationalherald.com/performative-art-echoes-recent-mediterranean-floods-at-the-18th-architecture-biennale-in-venice/
E-flux (2024) https://www.e-flux.com/announcements/607353/open-window-series/
Transart (2024) https://www.transartinstitute.org/tt-public-talks

AquaGranda's Digital Community Memory (2019-2024)

As Research, Methods, and Technology Lead of the AquaGranda digital community memory project, I contributed to numerous dissemination activities, citizen science initiatives, and presented our work at major conferences, festivals, and public events.

The project has received extensive media coverage, with features and mentions in the Italian edition of The Art Newspaper, Ars Electronica, The National Herald, e-flux, and Transart, among many others.

These platforms have highlighted our participatory research approach to memory, our capacity to design and implement hybrid data strategies —for bridging physical and digital spaces while engaging communities affected by climate change— the analysis of socio-natural events and related narratives, and the role of scientific engagement in advancing the public good and climate risk preparedness.

CF News (2018) https://www.unive.it/pag/14024/

la Repubblica (2018) https://financialounge.repubblica.it/news/2018/04/06/twitter-anticipatore-della-volatilita-dei-mercati-lo-studio-dei-big-data
Milano FInanza (2018) https://www.milanofinanza.it/news/gam-studiare-i-big-data-per-prevedere-l-andamento-dei-mercati-201804061304128909
La Stampa (2018) https://www.lastampa.it/economia/2018/04/10/news/twitter-e-big-data-in-aiuto-ai-gestori-1.36620871
Money.it (2018) https://risparmiogestito.money.it/Big-data-e-investimenti-l-analisi-GAM-tweet
Bluerating (2018) https://www.bluerating.com/fondi-e-polizze/536826/se-twitter-predice-landamento-della-volatilita

Twitter Uncertainty Indexes (2016-2019)

During my PhD and the first year of my postdoctoral research at Ca’ Foscari University, I was a member of the Centre for Experimental Research in Management and Economics (CERME), where I collaborated with GAM Investments on applied research at the intersection of quantitative finance and asset management.

This work, focused on predicting market volatility using Twitter data. By analyzing hundred thousands of tweets, we demonstrated that fluctuations in societal uncertainty, as reflected on Twitter, could be used to predict changes in implied stock market volatility in the U.S. and U.K. with remarkable accuracy —anticipating market trends one to two days in advance.

Our study focused on turbulent periods like 2016, marked by events such as Brexit and the U.S. presidential election, which offered a rich context to test our modeling and forecasting strategy.