Machine Learning for matching in children’s adoption in Santa Casa da Misericórdia de Lisboa (SCML)

Machine Learning for matching in children's adoption in Santa Casa da Misericórdia de Lisboa (SCML)

Every year, in Portugal, several cases of interruption in the child adoption processes are reported. These interruptions cause a huge disturbance in the children involved and this project will address this problem with the objective of investigating an Intelligent Decision Support System (IDSS) capable of support decision-making in the child adoption process, namely in the matching of a child and the adoptive family.

Throughout the child adoption process, data is created and stored, such as details about the child, and records about the candidates for adoptive family. All these data have the potential to be studied with Machine Learning algorithms, searching for hidden or non-explicit insights that might be useful to support the caseworkers decision-making, creating an Intelligent Decision Support System (IDSS).

Ana Lima (coord.) | Centro de Computação Gráfica
Isabel Pastor (coord.) | SCML
Paulo Cortez (coord.) | UMinho

Ana Rita Fonseca | SCML
André Pilastri | Centro de Computação Gráfica
Fábio Teixeira | ProChild CoLAB
Helena Grangeia | ProChild CoLAB
Jaime Pereira | ProChild CoLAB
Joana Ribeiro | SCML
Leonor Bettencourt Rodrigues | ProChild CoLAB
Rita Alves | SCML
Stephanie Alves | ProChild CoLAB
Susana Silva | ProChild CoLAB

Machine Learning for matching in children’s adoption in Santa Casa da Misericórdia de Lisboa (SCML)
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