Michelle Wronski

Contributed to the DPI Map project at UCL IIPP, mapping digital ID, payment, and data exchange systems across 210 countries and co-authoring the State of DPI 2025 report on how these systems are measured and governed.

A personal essay tracing the rapid arc of AI's public arrival, from an "Age of AI" documentary watched in 2019, through a dissertation on AI accountability in 2023, to today, on why the pace of AI's integration into daily life keeps outrunning our ability to process or legislate it.

A reflection on the DPI Map methodology and the practical challenges of collecting and comparing evidence on digital ID, payments, and data exchange systems across countries.

As part of a short-term consultancy, contributed to the World Bank AI and Data for Better Governance team. Findings fed into World Development Report 2026: The Promise of Artificial Intelligence, the World Bank Group's flagship report on AI's implications for developing economies.

Written with Mike Bracken and David Eaves in response to the EU's International Digital Strategy, arguing that services beget stacks, not the other way round, and that Europe's path to interoperable digital public infrastructure should start with solving real user problems.

Master's dissertation examining how early-stage AI businesses attribute accountability and liability in the governance of their AI products, completed as part of an MSc in Media and Communication Governance at the London School of Economics (LSE).

A directed study comparing machine-learned (BERT) and human-coded sentiment on tweets directed at Canadian journalists during the 2019 federal election, examining where the two methods disagree on what counts as "positive."

Co-led a study with University of Ottawa researchers analyzing how the 2019 English federal leaders' debate themes appeared in Reddit post titles across r/canada, r/onguardforthee, and r/CanadaPolitics, using a custom popularity score to compare engagement across subreddits of different sizes.