Infertility & Medically Assisted Reproduction


How is infertility and the use of treatment related to demographic change?

What are the consequences of medically assisted reproduction for families and their children?

The trend towards ever-later fertility is associated with a growing risk of experiencing fertility problems and of seeking medical help. Medically assisted reproduction (MAR) also facilitates the realization of fertility desires for same-sex couples and single women and men – groups for whom it is difficult to have children without medical help. The number of MAR-conceived children and of MAR families is thus increasing and so is the diversity of family forms in the global North.

Fertility and family research is only starting to take infertility and MAR into account to better understand fertility intentions, behaviors (such as contraceptive use) and outcomes over the life course. Yet, the patterns of change and the mechanisms behind new reproductive behaviors as well as their consequences have not been fully explored and understood, particularly in Europe.

The Working Group aims at …

We invite all researchers interested in infertility and medically assisted reproduction to be part of our Working Group. If you are interested in joining us, please send an email to


We are very pleased to invite you to the first event of the group, which will be a webinar titled: "New perspectives on (demographic) data for the study of infertility and MAR" on 2 May, 2023 between 14:45 and 16:45 CET.

The webinar will begin with a 15 minute introduction to the group and its aims, and an opportunity for participants to introduce themselves.

This will be followed by a presentation by Prof Dr Christine Wyns (Université catholique de Louvain, Head of the Gynaecology and Andrology Department of the Cliniques universitaires Saint-Luc) who will give an overview of the EUMAR project for which ESHRE has recently received an EU4HEALTH grant. The project aims to develop a data registry to facilitate inter-institutional data sharing for open science and to allow longitudinal and cross-border follow-up of medically assisted reproduction (MAR) data.

The webinar will conclude with a 45-minute group discussion on how to improve data infrastructure and measurement for the study of infertility and MAR.

Those interested to participate should register by sending an email to and we will send a zoom link later.

Steering Committee

Jasmin Passet-Wittig

Federal Institute for Population Research, Germany

Alice Goisis

Centre for Longitudinal Studies, Social Research Institute, University College London, United Kingdom

Eva Beaujouan

University of Vienna (Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna)), Austria