
“It is easy to lie with statistics, but easier to lie without them.” – Frederick Mosteller
The Frederick Mosteller Award for Distinctive Contributions to Systematic Reviewing is named in honor of Charles Frederick Mosteller (1916-2006), who was the Roger I. Lee Professor of Mathematical Statistics at Harvard University. Many of his works in both theoretical and applied statistics are considered classic texts. Mosteller’s work and influence have extended to other fields, particularly health care and education.*
Eligibility criteria
- We will consider individuals who have made an important contribution to the theory, method or practice of systematic reviewing in subject areas within the ambit of the Campbell Collaboration.
- The award may be given for an accumulated body of work with significant impact.
Nominations
Nominations should be sent to info@campbellcollaboration.org by 4 September 2026. Required details will include a letter of nomination (no more than two pages) and the nominee’s CV.
The Nominations Committee is comprised of the members of the Campbell Technical Advisory Group. The decision rests with the Campbell Board following a recommendation by the Nominations Committee.
Campbell is committed to diversity, equity and inclusion. We particularly welcome nominations of people who have been historically under-represented in past Campbell awards, for example, women, and people from low- and middle-income countries.
Award recipients over the years
- 2025: Zachary Munn
- 2024: Hugh Sharma Waddington
- 2023: James Pustejovsky
- 2022: Jo McKenzie
- 2021: Ariel Aloe
- 2020: Beth Tipton
- 2018: Jeffrey Valentine
- 2016: Terri Pigott
- 2015: Hannah Rothstein
- 2014: Michael Borenstein
- 2013: Frank L. Schmidt
- 2012: David B. Wilson
- 2011: Betsy Jane Becker
- 2010: Julian Higgins
- 2009: William Shadish
- 2008: Ingram Olkin
- 2007: Harris Cooper
- 2006: Mark Lipsey
- 2005: Larry Hedges
* Source: Petrosino, A (2004). Charles Frederick [Fred] Mosteller (1916-2006). The James Lind Library (www.jameslindlibrary.org).