Expert.ai Case Studies Validating Employment Candidate Expertise and Reputation at Inserm

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	Validating Employment Candidate Expertise and Reputation at Inserm Expert.ai

Validating Employment Candidate Expertise and Reputation at Inserm

Expert.ai

Technology Category	Analytics & Modeling - Data-as-a-Service Analytics & Modeling - Natural Language Processing (NLP)
Applicable Industries	Education Healthcare & Hospitals
Applicable Functions	Human Resources
Use Cases	Personnel Tracking & Monitoring Regulatory Compliance Monitoring
Services	Data Science Services
Challenge	Inserm, the only public research institute in France dedicated to biological and medical research and human health, faced a challenge in evaluating the quality of job candidates. The institute had to coordinate with up to five external experts to analyze candidates based on their achievements and descriptions of their field of expertise. This process was time-consuming and lacked transparency. Inserm sought an automated solution to verify the expertise of their candidates and shorten the recruitment process. Read More
About Customer	Inserm, the French National Institute of Health and Medical Research, is a public research institute dedicated to biological and medical research and human health. It is the only institute of its kind in France. Inserm employs nearly 13,000 researchers, engineers, and technicians across more than 300 research laboratories. The institute is involved in a wide range of research activities, from basic research to clinical research, and is committed to advancing knowledge in the field of health and medicine. Read More
Solution	Inserm implemented expert.ai technology to rapidly identify the top experts in their candidate pool. The technology aggregates and analyzes published scientific articles and reports from hundreds of globally respected journals. The talent team simply enters a candidate or project name in the search field and activates the ‘Expert lens’ to view a full list of domain experts. Expert.ai evaluates a candidate’s level of expertise based on the reputation rating of the journals in which they have been published. Keywords associated with the candidate are also extracted which can help quickly verify areas of expertise. The system also presents publication metrics and collaboration networks so Inserm can identify both established opinion leaders as well as rising stars. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Data-as-a-Service

Analytics & Modeling - Natural Language Processing (NLP)

Applicable Industries

Education

Healthcare & Hospitals

Applicable Functions

Human Resources

Use Cases

Personnel Tracking & Monitoring

Regulatory Compliance Monitoring

Services

Data Science Services

Challenge

Inserm, the only public research institute in France dedicated to biological and medical research and human health, faced a challenge in evaluating the quality of job candidates. The institute had to coordinate with up to five external experts to analyze candidates based on their achievements and descriptions of their field of expertise. This process was time-consuming and lacked transparency. Inserm sought an automated solution to verify the expertise of their candidates and shorten the recruitment process.

About Customer

Inserm, the French National Institute of Health and Medical Research, is a public research institute dedicated to biological and medical research and human health. It is the only institute of its kind in France. Inserm employs nearly 13,000 researchers, engineers, and technicians across more than 300 research laboratories. The institute is involved in a wide range of research activities, from basic research to clinical research, and is committed to advancing knowledge in the field of health and medicine.

Solution

Inserm implemented expert.ai technology to rapidly identify the top experts in their candidate pool. The technology aggregates and analyzes published scientific articles and reports from hundreds of globally respected journals. The talent team simply enters a candidate or project name in the search field and activates the ‘Expert lens’ to view a full list of domain experts. Expert.ai evaluates a candidate’s level of expertise based on the reputation rating of the journals in which they have been published. Keywords associated with the candidate are also extracted which can help quickly verify areas of expertise. The system also presents publication metrics and collaboration networks so Inserm can identify both established opinion leaders as well as rising stars.

Impact #1	Reduced risk of cronyism in candidate selection via automated expert identification
Impact #2	Increased search productivity with a user-friendly interface
Impact #3	Highly reliable, quantifiable and complete results enable informed decision-making

Impact #1

Reduced risk of cronyism in candidate selection via automated expert identification

Impact #2

Increased search productivity with a user-friendly interface

Impact #3

Highly reliable, quantifiable and complete results enable informed decision-making

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Overview

Validating Employment Candidate Expertise and Reputation at Inserm

Operational Impact