• Welcome

    Social Networks Architect | UX & Behavioural Designer | Forbes 30 Under 30 Europe

     

    Dr Vyacheslav Polonski, who often goes by the name Slava, is a UX Researcher at Google. Previously, he was a researcher at the University of Oxford, focusing on complex social networks, user behaviour and technology adoption. He is the founder and CEO of Avantgarde Analytics, a machine learning startup that harnesses AI & behavioural psychology for the next generation of algorithmic campaigns. In 2017, Vyacheslav completed his PhD studies at the University of Oxford as an ESRC Scholar. Prior to his PhD, Vyacheslav completed an MSc in the Social Sciences of the Internet at the Oxford Internet Institute and a BSc in Management at LSE. Vyacheslav is an active member of the World Economic Forum having participated in multiple conferences as a Global Shaper (2015, 2016, 2017) and member of the WEF Expert Network (2017, 2018). In 2018, Forbes Magazine featured him in the European Forbes 30 Under 30 list for law and policy. His research and commentary have been highlighted in the media, including in The Independent, Forbes, Bloomberg, TechCrunch, Scientific American and The New York Times.

     

  • Education

    University of Oxford / Harvard University

    2013-2017

    Ph.D (D.Phil) in Computational Social Science at Oxford Internet Institute

    Visiting Fellow at Harvard Graduate School of Arts and Sciences

    ESRC Scholar

    University of Oxford

    2012-2013

    M.Sc in Social Science of the Internet (Distinction)

    Studienstiftung Scholar

    ESRC Scholar

    London School of Economics

    2009-2012

    B.Sc in Management (First Class Honours)

    Undergraduate of the Year 2012

    Stelios Scholar

  • "What excites me most is when two things that aren't supposed to connect, connect."

    Vint Cerf

  • Areas of EXPERTISE

    Network Science

    Artificial Intelligence

    User Experience

    Behavioural Psychology

  • Featured insights

    Mapping political polarisation on social media

    EU Referendum

    The Internet has rewired civil society, propelling collective action to a new dimension of citizen autonomy. Yet it has also contributed to radicalisation and conflict. As part of a larger study on the future of digital democracy, I have analysed large amounts of social media data to understand how political polarisation on social media has fuelled the rise of populism with regard to the Brexit vote in the UK's recent EU referendum and its implications for future elections.

    Analysing the network structure of online communities

    Global Shapers Community

    Social network analysis provides a large toolkit of quantitative techniques that allow us to understand the structure of relationships of people in the context of their social groups. Using these tools, I have analysed the friendship relationships and conversational patterns of the World Economic Forum's Global Shapers Community, which spans across 450 hubs and brings together young people to work on social impact projects in their cities.

    Exploring the spread of ideas in semantic networks

    World Economic Forum

    Ideas and concepts that are related to each other can be visualised in semantic networks that represent the degree of connection between these concepts, e.g. to understand the degree of relatedness of meanings associated with individuals, places or entities. Having extracted hashtags from Instagram activities around the WEF Annual Meeting in Davos 2016, I have looked at the way how the event was perceived and experienced by its participants and the general public.

  • "Anyone who has lost track of time when using a computer knows the propensity to dream, the urge to make dreams come true and the tendency to miss lunch."

    Tim Berners-Lee

  • reach out

    Get in touch and let's build something amazing together!