Angus Webb
Background: I did my PhD in marine ecology, followed by a move into landscape scale data analysis in freshwater systems and a growing interest in making better use of all the information we had available for tackling problems caused by humans in river systems.
Relevant experiences: This led to the interest in synthesis of evidence from the literature. My main experience is with what we’re now calling Rapid Evidence Synthesis (SR Lite). As part of this we developed an online database and desktop software package to implement the Eco Evidence methods for RES.
Interests: I’m interested in creating resources that help people to use the evidence from the literature. The database we developed for Eco Evidence has a number of atomized fields that capture the essence of a study’s design and results, but doesn’t include enough information to allow something like quantitative meta-analysis. How do we create such information stores? How do we populate them and keep them current? As part of this I have an interest in using text mining and natural language processing to automatically extract at least some of the information from papers to include in databases.
Projects: Eco Evidence version 1 software and database. Completed 2012
Jared Willet, MSc project using NLP to extract locational and climate information from environmental science abstracts. Completed 2014
Relevant experiences: This led to the interest in synthesis of evidence from the literature. My main experience is with what we’re now calling Rapid Evidence Synthesis (SR Lite). As part of this we developed an online database and desktop software package to implement the Eco Evidence methods for RES.
Interests: I’m interested in creating resources that help people to use the evidence from the literature. The database we developed for Eco Evidence has a number of atomized fields that capture the essence of a study’s design and results, but doesn’t include enough information to allow something like quantitative meta-analysis. How do we create such information stores? How do we populate them and keep them current? As part of this I have an interest in using text mining and natural language processing to automatically extract at least some of the information from papers to include in databases.
Projects: Eco Evidence version 1 software and database. Completed 2012
Jared Willet, MSc project using NLP to extract locational and climate information from environmental science abstracts. Completed 2014