Grant: Canada Excellence Research Chairs
University of Alberta
$1,051,530.00
Open Science and Synthesis in Ecology and Evolution
FY 2024-25
Summary
Over the last decade, several high-profile studies have reported that many published research findings could not be replicated. These findings served as a call to action to increase the transparency of scientific systems so that every step of science is publicly accessible (i.e., open science), and to conduct ‘meta-science' or ‘science on science', with the aim of improving the research process. Dr. Nakagawa is a global leader in open science and meta-science in ecology and evolution. As a Canada Excellence Research Chair, Dr. Nakagawa will lead the first-ever systematic and large-scale meta-science project in ecology and evolution by building diverse and global collaboration networks (i.e., team science) to achieve the following four specific aims.
Aim 1: chart the current state of knowledge and evidence in ecology and evolution and establish an international network of scientists and non-scientists to conduct the first continuously updated evidence synthesis. Aim 2: predict replicability in published evidence in empirical studies and meta-analyses in ecology and evolution and validate the replicability of the meta-analyses via a series of workshops that both conduct and teach meta-analyses. Aim 3: build scientific infrastructure to increase replicability by creating a semi-automated AI-based synthesis workflow, reporting guidelines and best practices, and the first registration repository for ecology, evolution, and related fields. Aim 4: develop new statistical methods for meta-analysis that enable data recycling in a wide range of fields, including environmental, social, and medical sciences, and showcase how these new methods can be applied to improve sex- and gender-based data analysis.
Dr. Nakagawa will create an international knowledge hub for ecology and evolution, meta-analyses, and open science in Canada and train >250 early career researchers in highly sought-after quantitative data and synthesis skills. This research program will have transformative impacts on the fields of ecology and evolution, and beyond. Charting the current state of knowledge in ecology and evolution will enable researchers to identify trustworthy evidence and rebuild research where evidence has been flawed or weak. Dr. Nakagawa will empower global scientific communities to openly synthesize and evaluate scientific evidence. Finally, building a scientific infrastructure, which facilitates open and team science, will impact and benefit fields beyond ecology and evolution.
Program
Canada Excellence Research ChairsCanada Excellence Research Chairs (linked with high confidence)
Recipient
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CERC-2022-00074
Name nom
Nakagawa, Shinichi
Department département
Department of Biological Sciences - University of Alberta
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2022
Award amount
1051530
Program id
CERC
Program name en
Canada Excellence Research Chairs
Program name fr
Programme des chaires d'excellence en recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9996
Committee name en
Canada Excellence Research Chairs Selection Committee
Committee name fr
Comité de sélection des Chaires d’excellence en recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list codes
RDF1010301; RDF1060310
Field of research list names en
General statistical methods;Evolutionary ecology
Field of research list names fr
Méthodes statistiques générales;Écologie de l'évolution
Socioeconomic objective list codes
RDS10199
Socioeconomic objective list names en
Exploration and exploitation of the earth, n.e.c.
Socioeconomic objective list names fr
Exploration et exploitation du milieu terrestre, n.c.a.
Application title
Open Science and Synthesis in Ecology and Evolution
Keywords
open science; reproducibility; meta-science; meta-analysis; evolutionary ecology; natural selection; computational biology; research synthesis; meta-research; ecology and evolution
Application summary
Over the last decade, several high-profile studies have reported that many published research findings could not be replicated. These findings served as a call to action to increase the transparency of scientific systems so that every step of science is publicly accessible (i.e., open science), and to conduct ‘meta-science' or ‘science on science', with the aim of improving the research process. Dr. Nakagawa is a global leader in open science and meta-science in ecology and evolution. As a Canada Excellence Research Chair, Dr. Nakagawa will lead the first-ever systematic and large-scale meta-science project in ecology and evolution by building diverse and global collaboration networks (i.e., team science) to achieve the following four specific aims.
Aim 1: chart the current state of knowledge and evidence in ecology and evolution and establish an international network of scientists and non-scientists to conduct the first continuously updated evidence synthesis. Aim 2: predict replicability in published evidence in empirical studies and meta-analyses in ecology and evolution and validate the replicability of the meta-analyses via a series of workshops that both conduct and teach meta-analyses. Aim 3: build scientific infrastructure to increase replicability by creating a semi-automated AI-based synthesis workflow, reporting guidelines and best practices, and the first registration repository for ecology, evolution, and related fields. Aim 4: develop new statistical methods for meta-analysis that enable data recycling in a wide range of fields, including environmental, social, and medical sciences, and showcase how these new methods can be applied to improve sex- and gender-based data analysis.
Dr. Nakagawa will create an international knowledge hub for ecology and evolution, meta-analyses, and open science in Canada and train >250 early career researchers in highly sought-after quantitative data and synthesis skills. This research program will have transformative impacts on the fields of ecology and evolution, and beyond. Charting the current state of knowledge in ecology and evolution will enable researchers to identify trustworthy evidence and rebuild research where evidence has been flawed or weak. Dr. Nakagawa will empower global scientific communities to openly synthesize and evaluate scientific evidence. Finally, building a scientific infrastructure, which facilitates open and team science, will impact and benefit fields beyond ecology and evolution.