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AI and Data for Good: Bridging Gaps in Health and Human Services
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AI and Data for Good: Bridging Gaps in Health and Human Services
The November 2024 edition of IndyPy showcased two expert presentations on how data science and AI are driving meaningful change in health equity and resource distribution.
“Place Matters, Policy Matters” by Amrutha Pulikottil
Amrutha explores how data science can be used to understand the health landscape by legislative district. This session demonstrates how data science algorithms combined with data visualization tools help citizens and policymakers understand the social, economic, and environmental factors that contribute to health disparities.
Using a real-world example from the Virginia Department of Health’s Office of Health Equity, Amrutha shows how Python can be leveraged to advocate for policies that promote better health outcomes in your community.
"Mapping the Need (AI for Good!)" by Zach Cardwell
The United States stands out as one of the most philanthropic nations globally, consistently outgiving many developed countries on a per capita basis. Despite this immense generosity, a critical question remains: How do we ensure that funds reach those in need effectively?
Zach guides us through the extensive data resources available from the Federal government and explore how AI, powered by Python, can help close distribution gaps. Discover neighborhood-level data that is freely accessible and learn how modern AI technologies can drive equitable, efficient and impactful resource allocation.
The November 2024 edition of IndyPy showcased two expert presentations on how data science and AI are driving meaningful change in health equity and resource distribution.
“Place Matters, Policy Matters” by Amrutha Pulikottil
Amrutha explores how data science can be used to understand the health landscape by legislative district. This session demonstrates how data science algorithms combined with data visualization tools help citizens and policymakers understand the social, economic, and environmental factors that contribute to health disparities.
Using a real-world example from the Virginia Department of Health’s Office of Health Equity, Amrutha shows how Python can be leveraged to advocate for policies that promote better health outcomes in your community.
"Mapping the Need (AI for Good!)" by Zach Cardwell
The United States stands out as one of the most philanthropic nations globally, consistently outgiving many developed countries on a per capita basis. Despite this immense generosity, a critical question remains: How do we ensure that funds reach those in need effectively?
Zach guides us through the extensive data resources available from the Federal government and explore how AI, powered by Python, can help close distribution gaps. Discover neighborhood-level data that is freely accessible and learn how modern AI technologies can drive equitable, efficient and impactful resource allocation.
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