Jennifer Sturdy

Jennifer Sturdy
Designation: Former Senior Evaluation Specialist, 3ie
Jennifer supported 3ie’s Transparency, Reproducibility, and Ethics (TRE) program. She has over 15 years’ international work experience in monitoring and evaluation and has worked for almost a decade on open data, responsible data governance, and balancing research transparency with ethical commitments to confidentiality.

Blogs by author

Five lessons from our Transparent, Reproducible, and Ethical Evidence (TREE) reviews

We have been consolidating our efforts to develop stronger systems for producing transparent, reproducible, and ethical evidence (TREE). We have emphasized asking ourselves the right questions at the right times, even when there are no easy answers. We’ve examined very specific questions such as: Does a state of scarcity or equipoise make it ethical to withhold an intervention from a control group?

TREE Review Framework – Reimagining ethics review and oversight

At 3ie, we are refining a process to help research teams consider the ethics questions raised in social science research and document their decisions. Our Transparent, Reproducible, and Ethical Evidence (TREE) Review Framework complements the necessary work of Institutional Review Board (IRBs) while ensuring we do not outsource our ethical judgement to them.

Ethics in social science research: Getting the questions right even if there are no easy answers

What does it mean to conduct international social science research in an ethical manner? Over the course of one project, a research team studying the effects of a public policy or intervention wrestles with a constant stream of questions. For some questions, there may be no "right" answer, or the "right" answer may depend entirely on context.

Beyond Counterfactuals: Making transparent, reproducible and ethical evidence (TREE) central to rigorous evidence generation

Since 3ie was established, we have known we need to learn from evidence to make better decisions and that we need to open the ‘black box’ of project design and implementation to learn what works, what doesn’t, and why. But as this movement for more evidence generation matured, we have increasingly understood that research that generates evidence also requires accountability and transparency.