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David Buetti

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Professeur adjoint

École de santé publique - Département de gestion, d’évaluation et de politique de santé

Courriels

david.buetti@umontreal.ca (Travail)

Travail 1 : 514 343-5631 #5631

Biography

Dr. David Buetti, PhD, is a trained social worker and researcher with program and policy evaluation expertise, particularly in health. With over ten years of experience, he has worked on numerous evaluation and research projects with various municipal, provincial, federal, and community stakeholders. Dr. Buetti has been instrumental in improving evaluation skills and structures for more than twenty health organizations, leading to a diverse network of collaborators. His extensive education background, including a doctoral degree in population health, a master’s degree in social work from the University of Ottawa, and a bachelor’s degree in psychoeducation from UQTR, has given him valuable insights into evaluation challenges across different contexts.

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Research recruitment

I am currently open to supervising motivated students whose research interests align with my areas of expertise.  If you are interested in working with me, please submit the following documents:

  • 1. Letter of Interest (max. 1/2 page): Describe your research interests, relevant experiences, and how your research topic fits into my areas of expertise.
  • 2. Up-to-date CV.
  • 3. Most recent unofficial transcripts.
  • 4. Writing Sample: Article, essay, report, etc.

Please send your documents to david.buetti@umontreal.ca.

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Education Programs

  • Administration and Management Sciences Health Sciences

Courses

  • SPU75031 Practicum en évaluation 1
  • SPU75032 Practicum en évaluation 2
  • SPU7504 Séminaire de pratique avancée

Expertises

My research program focuses on three main areas to address evaluation challenges in the field of health:

1. Documenting Evaluation Innovation:
This area focuses on addressing the lack of empirical data on the effectiveness of emerging evaluation methods, such as realistic evaluation or arts-based evaluation. It aims to provide practical recommendations for the application of these methods to assist analysts and managers in choosing the most suitable approaches for their specific needs.

2. Understanding Sector-Specific Evaluation Capacities:
In this area, we explore evaluation capacities within specific sectors, such as aging or LGBTQ+ health, taking into account interactions between organizations. The goal is to develop a comprehensive understanding of these capacities to better address the unique evaluation needs of each sector.

3. Strengthening Evaluation Structures and Policies:
Building on the insights from the second area, this part investigates strategies to enhance the adoption and sustainability of evaluation practices within health organizations. It also explores the potential of artificial intelligence as a facilitative tool while carefully considering its ethical boundaries and implications.