The Institute for New Economic Thinking at the Oxford Martin School (INET Oxford) How do we re-invigorate economic growth and innovation?
The Institute for New Economic Thinking at the Oxford Martin School (INET Oxford) is a multidisciplinary research institute dedicated to applying leading-edge thinking from the social and physical sciences to global economic challenges. The Institute includes over 60 affiliated scholars from disciplines that range from economics, to mathematics, computer science, physics, biology, ecology, geograp
hy, psychology, sociology, anthropology, philosophy, history, public policy, business, and law. INET Oxford is unique in its ability to bring these multiple perspectives to bear on problems that include:
How do we make the global financial system more robust and resilient? How do we address rising economic inequality? How do we create a model of economic growth that is environmentally sustainable? How should we teach economics to the next generation of leaders? INET Oxford researchers work closely with policy-makers and leaders in business and civil society to bring new economic ideas and thinking into debates and practice in the public, private and non-profit sectors. In addition to its applied work, INET Oxford conducts theoretical and empirical research on economic issues using innovative approaches and tools ranging from complex systems theory and agent-based modelling, to network analysis, novel econometric techniques, behavioural and experimental economics, and "big data" techniques. INET Oxford was established in May 2012 as a result of a grant to the University by the Institute for New Economic Thinking (INET). INET is a philanthropic foundation based in New York that was founded in 2009 in the wake of the financial crisis to promote innovative, cross-disciplinary, policy-relevant economic research. INET Oxford is a part of the University’s Oxford Martin School, a community of over 300 scholars working on the major challenges of the 21st century . INET Oxford’s staff includes faculty members from across the University’s departments, schools and colleges, post-doctoral researchers, graduate students, and visiting researchers from around the world. In addition to core funding from INET, the Institute is grateful for support for its research programmes from the Resolution Foundation, European Commission, Economic and Social Research Council (ESRC), Engineering and Physical Sciences Research Council (EPSRC), US Department of Energy, Rockefeller Foundation, Saïd Business Foundation, Dr. Otto Poon, and the Oxford Martin School Endowment.
06/08/2026
🚨We're hiring: Part-time Research Assistants (2 positions)
Are you a PhD student interested in inequality, social policy and social mobility? Join Professor Zachary Parolin's research team working on economic and social inequality in high-income countries.
Successful candidates will work in one of two areas:
📈 Labour market institutions and their relationship to social and economic outcomes
📑Public policy analysis
We’re are looking for applicants who:
✅Are working towards a PhD in a social science discipline (or relevant data science field)
✅Have an interest or research in economics
✅Have experience in data management and analysis
Details:
- Part-time (12 hours per week)
- Fixed term until 28 February 2027
- Opportunity to work closely with Professor Zachary Parolin, building your research experience and contributing to publications
📅Application deadline: 2 September 2026
🔗Find out more and apply: my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=187917
INET Oxford
22/07/2026
Inside this essay from Carter Powis you'll learn:
- Exactly what it would take for AI to substantially accelerate economic growth;
- The things that arbitrarily advanced AI will never be able to do (and whether they matter);
- A rigorous perspective on how humans continue to contribute economically in a world where knowledge work is automated;
- Why the simulation theory is probably wrong;
- A perspective on how to live through periods of disorienting change.