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Free Keynote Video Streaming

All Keynote speakers will be streamed as part of the Internet Festival event:


Video streaming

Leticia Bode

Georgetown University

Wrong Again: Correction of Health Misinformation in Social Media

Misinformation on social media abounds, and computational approaches alone have not been able to stem its tide. As a complementary approach, I describe the power of correction of misinformation on social media, whether it comes from peers, platforms, or experts. Results from multiple experiments, dealing with a variety of health issues, and on four different social media platforms demonstrate that correction does generally lead people to update their beliefs. Best practices for correction will also be discussed and illustrated.

Leticia Bode (PhD University of Wisconsin) is a Provost’s Distinguished Associate Professor in the Communication, Culture, and Technology master’s program at Georgetown University. She researches the intersection of communication, technology, and political behavior, emphasizing the role communication and information technologies may play in the acquisition, use, effects, and implications of political information and misinformation.

Alessandro Vespignani

Sternberg Family Distinguished University Professor. Director, Network Science Institute. Northeastern University, Boston MA

Computational Epidemiology at the time of COVID-19

The data science revolution is finally enabling the development of large-scale data-driven models that provide scenarios, forecasts and risk analysis for infectious disease threats. These models also provide rationales and quantitative analysis to support policy making decisions and intervention plans. At the same time, the non-incremental advance of the field presents a broad range of challenges: algorithmic (multiscale constitutive equations, scalability, parallelization), real time integration of novel digital data streams (social networks, participatory platform, human mobility etc.). I will review and discuss recent results and challenges in the area, and focus on ongoing work aimed at responding to the COVID-19 pandemic.

Alessandro Vespignani is the Sternberg Family Distinguished University professor at Northeastern University. He is the founding director of the Network Science Institute and leads the Laboratory for the Modeling of Biological and Socio-technical Systems. Vespignani is elected fellow of the American Physical Society, member of the Academy of Europe, and fellow of the Institute for Quantitative Social Sciences at Harvard University.

Umeå University


Umeå University

Responsible AI: from principles to action

Every day we see news about advances and the societal impact of AI. AI is changing the way we work, live and solve challenges but concerns about fairness, transparency or privacy are also growing. Ensuring an ethically aligned purpose is more than designing systems whose result can be trusted. It is about the way we design them, why we design them, and who is involved in designing them. If we are to produce responsible trustworthy AI, we need to work towards technical and socio-legal initiatives and solutions which provide concretise instructions, tools, and other means of dictating, helping, and educating AI practitioners at aligning their systems with our societies’ principles and values.

Virginia Dignum is Professor of Responsible Artificial Intelligence at Umeå University, Sweden and associated with the TU Delft in the Netherlands. She is the director of WASP-HS, the Wallenberg Program on Humanities and Society for AI, Autonomous Systems and Software. She is a Fellow of the European Artificial Intelligence Association (EURAI), a member of the European Commission High Level Expert Group on Artificial Intelligence, of the working group on Responsible AI of the Global Partnership on AI (GPAI), of the World Economic Forum’s Global Artificial Intelligence Council, of the Executive Committee of the IEEE Initiative on Ethically Alligned Design, and a founding member of ALLAI-NL, the Dutch AI Alliance. Her book “Responsible Artificial Intelligence: developing and using AI in a responsible way” was published by Springer-Nature in 2019. She studied at the university of Lisbon and at the Free University of Amsterdam and has a PHD in Artificial Intelligence from Utrecht University in 2004. In 2006 she was awarded the prestigious Veni grant by the NWO (Dutch Organization for Scientific Research). She a well-known speaker on the social and ethical impacts of Artificial Intelligence, is member of the reviewing boards for all major journals and conferences in AI and has published over 200 peer-reviewed papers.


Bruno Kessler Foundation

Understanding and rewiring organizations, cities, and societies: A computational social science perspective

The almost universal adoption of mobile phones, the exponential growth in the usage of Internet services and social media platforms, and the proliferation of digital payment systems, wearable devices, and connected objects has led to the existence of unprecedented amounts of data about human behavior. Thus, we live in an unprecedented historic moment where the availability of vast amounts of behavioral data, combined with advances in machine learning, are enabling us to build predictive computational models of human behavior. In my talk, I will show examples of how those computational models of human behavior can be used to better understand and to design more efficient companies, cities, and societies, For example, I will present some recent works where we have leveraged mobile phone data, credit card transactions, Google Street View images, and social media data in order (i) to infer how vital and livable a city is, (ii) to find the urban conditions that magnify and influence urban life, (iii) to study their relationship with societal outcomes such as poverty, criminality, innovation, segregation, and (iv) to envision data-driven guidelines for helping policy makers to respond to the demands of citizens. Finally, I will also discuss key human-centric requirements for a positive disruption of these novel approaches including a fundamental renegotiation of user-centric data ownership and management, the development of tools and participatory infrastractures towards increased algorithmic transparency and accountability, and the creation of living labs for experimenting and co-creating data-driven policies.

Bruno Lepri leads the Mobile and Social Computing Lab at Bruno Kessler Foundation (Trento, Italy). Bruno has recently launched an alliance between MIT Connection Science and Bruno Kessler Foundation. Since August 2019, he is aslo the Chief AI Scientist of Manpower Group Italy where he advises the CEO on AI projects and innovations for recruitment and HR management. Bruno is also the Head of Research of Data-Pop Alliance, the first think-tank on big data and development co-created by the Harvard Humanitarian Initiative, MIT Media Lab, Overseas Development Institute, and Flowminder. In 2010 he won a Marie Curie Cofund post-doc fellowship and he has held a post-doc position at MIT Media Lab. He holds a Ph.D. in Computer Science from the University of Trento. Recently, he co-founded Profilio, a startup active in the field of AI-driven computational marketing. His research interests include computational social science, personality computing, urban computing, network science, machine learning, and new models for personal data management and monetization. His research has received attention from several international press outlets and obtained the James Chen Annual Award for best UMUAI paper and the best paper award at ACM Ubicomp 2014. His work on personal data management was one of the case studies discussed at the World Economic Forum.
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