This conference will focus on the use of MAIHDA – Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy – as a method for uncovering and understanding intersectional inequalities . MAIHDA has become widely used, both in social epidemiology where it was first proposed, and in other disciplines across the social sciences, and has been described as a gold-standard approach for quantitative evaluation of inequalities. The approach has been extended to consider causal effects, longitudinal data, spatial data, and more. There have also been a number of critiques of the method, considering both its statistical properties and its relationship with intersectional theory.

This conference will explore those issues, showcasing methodological advances and extensions of MAIHDA, advanced applications, and consideration and critique of MAIHDA and its goals. The conference will bring together academics from a range of substantive disciplines to think more deeply about the method and what it does and does not achieve. It will be of interest to researchers interested in quantitative approaches to intersectionality and multiplicative social inequalities. There will be poster presentations for those who wish to present their own MAIHDA (or MAIHDA-related) work.

The keynote speaker for the conference will be Dr Clare Evans at the University of Oregon, who first conceived of MAIHDA in her 2015 doctoral dissertation, and has been central to its development and application since then.

If you would like to present a poster please email y.gao@sheffield.ac.uk along with a +200 word abstract.

Multilevel models allow researchers to use data that has a clustered structure – such as pupils nested within schools, or individuals within neighbourhoods. Recently, a version of multilevel models has been developed for the study of intersectional inequalities in individual outcomes. With the Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA), individuals are nested within their intersectional strata – that is their combination of various sociodemographic identity categories –for instance gender, age, ethnicity and social class.

This method has great potential for uncovering and understanding intersectional inequalities, where a combination of social identities combine in complex ways to produce societal (dis)advantage.

This training course will provide a short introduction to the intersectional MAIHDA approach. We will briefly cover multilevel models more generally, before focusing on MAIHDA. We will then consider extensions of MAIHDA, for instance when considering varying slopes, or when using longitudinal data. Throughout, we will show how to use  the MAIHDA approach, some key statistics that can be produced from that approach, give advice on how to visualize the results that are produced, and how to interpret the results robustly.

Please see the 'More Info' tab for additional information

The Fifth Biennial Conference of the Children's History Society 'Space, Place, Belonging and Identity in Intergenerational Histories of Childhood and Youth', seeks to examine histories of children and young people's experiences of space, place, identity and belonging. 

Hear from scholars (established and emerging, including ECRs and PGRs) working on histories of childhood and youth across disciplines and time periods. We welcome researchers and educators (formal and informal), GLAM sector colleagues and community organisations. 

Details of the programme and keynote speakers are available on the Children’s History Society’s Conference 2026 webpage.

The conference fee covers attendance at all three days of the conference, and tea/coffee during the morning and afternoon breaks. Lunch is not provided. 

There is an optional conference Dinner on the evening of Thursday, 2nd July at South Street Kitchen, an independent vegetarian and vegan café/restaurant, accessible by public transport). The price: £30 per person. Please see the 'More Info' tab for booking information. 

The Children’s History Society policy is that everyone attending a CHS conference must be a current CHS member. So, before booking your place at the conference, please ensure that you have a current CHS membership. Please see the 'More Info' tab for instructions.