Daniel Ciganda

Daniel Ciganda is a Researcher at the Max Planck Institute for Demographic Research, leading the Laboratory of Fertility and Well-Being. His work integrates computational models with demographic research to analyze fertility patterns and their societal implications.

• Research Focus: Fertility dynamics, agent-based modeling, and population forecasting.
• Collaborations: A. Lorenti, N. Todd, M. Myrskylä, and others.

Ciganda's research spans micro-level computational models to macro-level fertility projections. Recent work includes individual-level fertility timing simulations and sensitivity analyses of Schelling's segregation model. His publications emphasize social feedback mechanisms, educational gradients, and policy-relevant demographic trends.

Key projects involve COMFERT (Computational Models for Fertility Forecasting) and extensions to agent-based segregation models. He contributes to open science via GitHub repositories like individual_fx for fertility modeling.