Evidence map›Paper›PMID 36200060›Full record

ArticleManagement science2022

Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation.

Jacqueline N Lanei, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva Guinan, Karim R Lakhani

Open access · greenAbstract read
In one paragraph

Article in Management science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
7.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 49 citations in OpenAlex.

  1. Tenure and research trajectories.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Promotional language and the adoption of innovative ideas in science.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. Is novel research worth doing? Evidence from peer review at 49 journals.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Jacqueline N LaneiHarvard Business School, Boston, Massachusetts 02163.ORCID 0000-0002-3744-9149
Misha TeplitskiyLaboratory for Innovation Science at Harvard, Boston, Massachusetts 02134.ORCID 0000-0002-2839-7228
Gary GrayHarvard Medical School, Boston, Massachusetts 02115.
Hardeep RanuHarvard Medical School, Boston, Massachusetts 02115.
Michael MeniettiHarvard Business School, Boston, Massachusetts 02163.ORCID 0000-0002-3727-1045
Eva GuinanLaboratory for Innovation Science at Harvard, Boston, Massachusetts 02134.ORCID 0000-0003-3874-0007
Karim R LakhaniHarvard Business School, Boston, Massachusetts 02163.ORCID 0000-0002-5535-8304
Harvard University · USUniversity of Michigan · US

Funding

Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
NCATS NIH HHS UL1 TR001102NCATS NIH HHS UL1 TR002541
6 · The paper itself

Abstract

The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information sharing among expert evaluators, plays in generating conservative decisions. We executed two field experiments in two separate grant-funding opportunities at a leading research university, mobilizing 369 evaluators from seven universities to evaluate 97 projects, resulting in 761 proposal-evaluation pairs and more than $250,000 in awards. We exogenously varied the relative valence (positive and negative) of others' scores and measured how exposures to higher and lower scores affect the focal evaluator's propensity to change their initial score. We found causal evidence of a negativity bias, where evaluators

Indexed as

information sharinginnovationknowledge frontiernegativity biasproject evaluation

Identifiers

PMID36200060
PMCPMC9531843
OpenAlexW3208245662

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.