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Claudia Abreu Lopes

Instructor
Research Fellow at United Nations University - International Institute for Global Health

Claudia Abreu Lopes is a Research Fellow at the United Nations University International Institute for Global Health (UNU-IIGH). Her research interests focus on methodologies that use big data as a complement to official statistics to monitor and advance sustainable development goals related to gender equality and health. She has been applied them to projects related to adolescent sexual and reproductive health and violence against women and girls. Claudia has spent 20 years in academia and also worked on the charity sector with Girl Effect (Data Scientist), and Africa’s Voices Foundation (Head of Research and Innovation), leading projects that used digital data to accelerate and evaluate the impact of public health interventions. She holds a PhD in Social Research Methods from the LSE and a Master’s degree in Social Psychology from the University of Porto.

Courses and workshops

Digital Analytics for Monitoring and Evaluation
How does one make sense of this new digital data, utilizing data science methods while adhering to rigorous evaluation protocols? This workshop provides a thorough grounding in developing a robust M&E approach for digital projects and revising existing workflows in response to the unique digital environment. Participants practice data analysis for large digital datasets and discuss how to incorporate these techniques in programmatic Evaluations.
Instructor(s)Claudia Abreu Lopes, Calum Handforth
Recommended forEvaluators, Practitioners
LevelIntroductory to intermediate
Digital Analytics for Monitoring and Evaluation
How does one make sense of this new digital data, utilizing data science methods while adhering to rigorous evaluation protocols? This workshop provides a thorough grounding in developing a robust M&E approach for digital projects and revising existing workflows in response to the unique digital environment. Participants practice data analysis for large digital datasets and discuss how to incorporate these techniques in programmatic Evaluations.
Instructor(s)Kecia Bertermann, Claudia Abreu Lopes, Calum Handforth
Recommended forEvaluators, Practitioners
LevelIntroductory to intermediate
O-3: Digital Analytics for Monitoring and Evaluation
How does one make sense of this new digital data, utilizing innovative methods while adhering to rigorous evaluation protocols? This workshop provides a thorough grounding in developing a robust M&E approach for digital projects and revising existing workflows in response to the unique digital environment. Participants gain insights into data analysis for large digital datasets and discuss how to incorporate these techniques in programmatic Evaluations.
Instructor(s)Claudia Abreu Lopes, Calum Handforth
Recommended forEvaluators, Practitioners
LevelSpecialized