Contributor(s): Professor Michal Feldman | The internet has become a huge computational platform for many heterogeneous, complex markets. These complex markets require the design of fast algorithms that take into account the economic, game theoretic, and computational considerations in a unified way.
In this talk, Michal Feldman will discuss some of the challenges and opportunities that arise in this domain, through the lens of approximation.

Approximation is the new optimal

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Contributor(s): Professor Claudia Goldin | 2023 Nobel Prize in Economics winner, Claudia Goldin delivers the first of two Economica-Coase lectures on US women obtaining legal rights equal to men's ranging from the workplace, marriage, family, social security, criminal justice, credit markets, and other parts of the economy and society, decades after winning the right to vote.

Why women won

Contributor(s): Will Hutton | Will Hutton's new book, This Time No Mistakes explores the errors of the last forty-five years as an attempt to create the utopia of free markets and a minimal state. This event is part of LSE’s free public events programme. Everyone is welcome to join us at our central London campus, or on a live stream from home, to hear from some of the most influential figures in the social sciences. You can also delve into the LSE Events podcast series, our back catalogue of talks from world leaders, sector experts and academic researchers.
Find out what’s on: https://www.lse.ac.uk/Events
Catch up with the LSE Events podcast: https://www.lse.ac.uk/lse-player/podcast-events

This time no mistakes

Contributor(s): Isabel Berwick, Dr Grace Lordan | Dr Grace Lordan discusses hybrid work, workplace equality, and today’s evolving workplace with the host of Financial Times’ Working It podcast, Isabel Berwick at the launch of her new book, The Future-Proof Career.

The future-proof career: strategies for thriving at every stage

Contributor(s): Madhumita Murgia | On the surface a British poet, an UberEats courier in Pittsburgh, an Indian doctor, and a Chinese activist in exile have nothing in common. But they are in fact linked by a profound common experience—unexpected encounters with artificial intelligence.

Approximation is the new optimal

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