Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths

Interactive Data VisualizationUncertainty VisualizationUniversity Professors & ResearchersStatisticians & Data Scientists

To make evidence-based recommendations to decision-makers, researchers conducting systematic reviews and meta-analyses must navigate a garden of forking paths: a series of analytical decision-points, each of which has the potential to influence findings. To identify challenges and opportunities related to designing systems to help researchers manage uncertainty around which of multiple analyses is best, we interviewed 11 professional researchers who conduct research synthesis to inform decision-making within three organizations. We conducted a qualitative analysis identifying 480 analytical decisions made by researchers throughout the scientific process. We present descriptions of current practices in applied research synthesis and corresponding design challenges: making it more feasible for researchers to try and compare analyses, shifting researchers' attention from rationales for decisions to impacts on results, and supporting communication techniques that acknowledge decision-makers' aversions to uncertainty. We identify opportunities to design systems which help researchers explore, reason about, and communicate uncertainty in decision-making about possible analyses in research synthesis.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/chi/7368/2019

AdRecommended

Learn AI Coding at CodeNow

At a Glance

Paper Snapshot

fact_check
dataset
Source
CHI
calendar_month
Year
2019
emoji_events
Award
No award tagged
group
Authors
3 authors
sell
Subtopics
Interactive Data Visualization, Uncertainty Visualization
work
Professions
University Professors & Researchers, Statisticians & Data Scientists
article
Content Status
Abstract only
hub
Related Papers
6 related papers