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Seminar series

Join our leading social scientists as they consider cutting-edge quantitative and qualitative methodologies, analyse the logic underpinning an array of approaches to empirical enquiry, and discuss the practicalities of carrying out research in a variety of different contexts

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Prof Adel Daoud Seminar Series graphic

Next: Professor Adel Daoud on Friday 21 November, 2.00pm to 3.00pm.

Be sure to register your interest here.

Planetary Causal Inference: combining computer vision and earth observation to analyse disparities in health and living conditions among neighbourhoods in Africa, 1990 to date.

Planetary Causal Inference explores how social science can benefit from Earth observation (EO) data to advance understanding of humans as a species and their impact on their environment, society, and economy. Traditional methods relying on tabular data, like surveys and national statistics, are costly and sometimes limited in scope, hindering planetary-scale analysis. EO data gathered via satellites offer a complementary approach that captures global, real-time information, enabling researchers to study phenomena like urbanization, inequality, poverty, conflict, and deforestation at fine spatial and temporal resolutions.

We introduce the emerging field of causally-oriented EO-based machine learning (ML), where spatial data derived from images are analysed using advanced ML models to create proxies for social science metrics and for use in causal inference pipelines. We discuss how these planetary causal inference methods can produce high-resolution insights about global social issues, providing new ways to assess a range of other phenomena.

By combining insights from geography, history, and multi-scale analysis, Planetary Causal Inference lays a foundation for researchers to address broad, integrated questions across multiple resolutions, such as household, neighbourhood, regional, and global scales.

Department of Methodology Seminar Series 28 Nov

Next week: Professor Sanyu A. Mojola on Friday 28 November, from 2.00pm to 3.00pm

Be sure to register your interest here.

Death by Design: Producing Racial Health Inequality in the Shadow of the Capitol

Washington, DC, the capital of the United States, has the nation's largest racial life expectancy gap, and it has experienced many of the nation's worst epidemics, including maternal and infant mortality, homicide, heroin overdoses, and HIV/AIDS. These epidemics have disproportionately affected African Americans. Why and how does racial health inequality exist and persist?

Starting from the city's founding in the late 1700s until 2022, and drawing on a range of sources—including archival material, life history interviews, and census, vital statistics, and disease surveillance data—this book illustrates how the physical, social, and policy design of the city contributes to the production and reproduction of disproportionate Black death.


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Our seminars take place in person during Autumn and Winter term and are free and open to all, LSE students and staffs and external participants. Light refreshements provided.

The Department of Methodology is committed to sustainable practices and therefore ask that, if you can no longer attend, you cancel your ticket on Eventbrite to help us reduce food waste. Read more about #SustainableLSE.

Find recordings of some of our past seminars on YouTube.

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