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Researchers

Maria del Rio-Chanona

Complexity economist, University College London
Signed the letter · Academia · United Kingdom

homepage · scholar · other

Assistant professor in the Department of Computer Science at University College London. PhD in mathematics from the Institute for New Economic Thinking at the Oxford Martin School, University of Oxford; previously a JSMF fellow at the Complexity Science Hub and the Growth Lab at Harvard Kennedy School. Uses networks, machine learning, and agent-based models to study labor markets and the economic effects of generative AI, including 'Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand' and 'Large language models reduce public knowledge sharing on online Q&A platforms'. Has worked with the International Monetary Fund and the International Labour Organization. Signed the wemustactnow.ai open letter.

AI-written Documented facts only, from the sources below.

14 works in the co-authorship map · 854 citations across them

Sources

  1. Maria Del Rio-Chanona — University College London profile
  2. Maria del Rio-Chanona — personal homepage
  3. Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand
  4. “Signed the wemustactnow.ai open letter” — source

In the network

9 co-authors on the map · PageRank #22 of 400 · bridge #77 of 400 · 2 steps from Erik Brynjolfsson · cluster: Computational social science.

Measured on this map only, which grows out of the letter's signatories; what these numbers mean. See Maria del Rio-Chanona on the map

Documented positions

Will AI actually boost productivity and growth? unknown

No documented evidence reviewed yet.

Will AI destroy more jobs than it creates? it's complicated

Freelance-platform evidence finds falling demand for AI-substitutable skills but rising demand in complementary and unaffected clusters.

Evidence

  1. “demand for substitutable skills, such as writing and translation, decreased by 20–50% relative to the counterfactual trend” — source
  2. “labor demand increased after the launch of ChatGPT, but only in skill clusters that were complementary to or unaffected by the AI tool” — source

Why researchers disagree on this · Who else says what

Will AI widen inequality? leans agree

Freelance-platform evidence finds losses concentrated in substitutable skills and among novice workers.

Evidence

  1. “demand for substitutable skills, such as writing and translation, decreased by 20–50% relative to the counterfactual trend” — source
  2. “demand for novice workers declined in general” — source

Why researchers disagree on this · Who else says what

Should governments act on AI now? unknown

No documented evidence reviewed yet.

How fast will the impact arrive? unknown

No documented evidence reviewed yet.

Selected work

Writes with

François Lafond (8), J. Doyne Farmer (8), Marco Pangallo (6), Anton Pichler (5), Penny Mealy (4), Johannes Wachs (2), Alessandro Vespignani (1), Esteban Moro (1), Pamela Mishkin (1)

Co-authors on the map, by papers written together (9 of 9 shown).

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