数据wiz-IN:健康的夏季研究经验数据科学培训
Sadia Afreen1, Alexander Krohannon1, Saptarshi Purkayastha1
1Department of BioHealth Informatics, Indiana University - Purdue University Indianapolis, Indianapolis, 46202, IN, USA.
Research square
|April 8, 2024
概括
数据wiz-IN倡议通过向代表性不足的学生提供研究经验,成功地增加了人工智能培训的多样性. 这种包容性的方法催化了人工智能和健康差异研究的创新.
科学领域:
- 人工智能 (AI) 是一种人工智能.
- 机器学习 (ML) 是指机器学习.
- 数据科学数据科学数据科学
- 健康差距 研究 研究 研究 研究
背景情况:
- Datawiz-IN是一个由国家卫生研究院 (NIH) 国家医学图书馆 (NLM) R25拨款资助的教育倡议.
- 它旨在促进AI技能培训和研究中的多样性和包容性.
- 该计划为来自医学和计算领域代表性不足的少数群体的学生提供全面的数据科学和机器学习研究经验.
结论:
- 在人工智能倡议中有目的地纳入,催化了创新.
- 数据wiz-IN 作为发展各种AI系统和研究的典范.
- 维持历史上被排除在外的声音的途径对于实现人工智能的全部社会利益至关重要.
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