Marie Bellevue
Questions, connections, and the occasional rabbit hole.
Hello, I’m Marie Bellevue!
A research professional, writer, and nonprofit consultant with a passion for building systems that drive meaningful change in policy and organizational outcomes. My particular interest lies in the intersection of data analysis, regulatory navigation, and stakeholder engagement—recognizing that effective change requires not only rigorous research and evidence-based approaches, but also the operational infrastructure to translate complex insights into compelling narratives and actionable policy solutions.
Porfolio
Research & Insights
Exploring human behavior, social systems, and complex challenges through academic research, clinical studies, and data-driven inquiry.
Community Impact
Building programs, organizations, and partnerships that create opportunity, strengthen communities, and support meaningful change.
Communication & Engagement
Translating ideas into action through storytelling, strategic communication, audience engagement, and editorial leadership.
Photography
Pattern Recognition
Finding connections others miss and making sense of complexity.
Curiosity
Following questions wherever they lead.
Resourcefulness
Building solutions when the roadmap doesn't exist.
Publications
Berkeley City Council discusses a budget update for 2021
“To the greatest extent possible, we need to keep people employed, not just because we care about them and we need to continue delivering services, but because the money we pay them is part of how we rebuild our economy,” Hahn said at the meeting. “We should be considering all ways that we can put public dollars to work to support a local recovery.”
COVID-19 affects international enrollment, experience in higher education, experts say
According to Hans de Wit, director of Boston College’s Center for International Higher Education, top research institutions will see little difference in their foreign student enrollment, but smaller private institutions will face a larger effect. Institutions need to improve rather than hit the “reset button” when there is an opening to resume normal instruction, de Wit added.
‘Living with uncertainty’: UC Berkeley faculty discusses understanding, seeking equity amid COVID-19
According to Obermeyer, bias involved in algorithms and data collection has the potential to be “dangerous” both generally and when looking to understand the pandemic’s severity. Algorithms require specific variables and datasets that bring to question how the “messy” concept of health and deterioration was translated into a specific variable. “Be careful what you ask an algorithm to do — it’s going to do it,” Obermeyer said during the livestream.