New Rice University institute to study lifetime health impacts and develop targeted interventions
- Bias Rating
- Reliability
60% ReliableAverage
- Policy Leaning
-64% Medium Left
- Politician Portrayal
N/A
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Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
56% Positive
- Liberal
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
63% : "By leveraging our strengths in interdisciplinary research and collaborating with the Texas Medical Center, we are poised to make meaningful contributions to understanding and improving health resilience.62% : IHRI will act as a facilitator for interdisciplinary collaboration, assisting faculty in navigating the complexities of clinical research and partnering with the TMC on research partnerships.
59% : This will include partnerships with medical professionals, health care institutions and translational research teams within the TMC.
53% : Its residential college system builds close-knit communities and lifelong friendships, just one reason why Rice is ranked No. 1 for lots of race/class interaction and No. 7 for best-run colleges by the Princeton Review.
51% : " "The Institute of Health Resilience and Innovation embodies Rice's dedication to tackling society's most pressing challenges through interdisciplinary research," said Rachel Kimbro, dean of the School of Social Sciences.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.