Broadening Participation at The Conference on the Mathematical Theory of Deep Learning

深度学习数学理论会议（DeepMath）是一个独特的年度会议，致力于真正的跨学科方法，以从根本上理解正在学术界和工业界彻底改变机器学习的深度学习方法。这笔赠款旨在扩大DeepMath的参与;这是一个会议，不同背景和学科的研究人员聚集在一起，开发深度学习的基本理论，并通过代理其他大型分布式学习系统。核心哲学反映了神经科学如何开始于物理学家、生物学家、心理学家、工程师和数学家的混合，他们都对同一个困境感兴趣。顾名思义，这种努力的基础是扩大参与，最大限度地扩大多样性和包容性，以创造真正的平等努力。这笔赠款资助新的计划，旨在确保我们的社区是访问和欢迎那些从代表性不足的群体通过（1）奖学金，（2）扬声器成本（旅行和住宿），和（3）广播直播和视频托管到更广泛的研究社区。具体方案包括通过有针对性的广告和这些群体的成员在组委会，旅行赠款，儿童保育赠款金为经济上处于不利地位的研究人员，并为未来的导师编程合作与LatinXinAI和其他专业组织的计划包括外展。通过问卷调查和人口统计数据进行的评估将确定哪些努力最成功，以不断完善这些计划，为未来几年。这个奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

The Conference on the Mathematical Theory of Deep Learning (DeepMath) is a unique annual meeting dedicated to a truly cross-disciplinary approach to a fundamental understanding of the deep learning methodologies that are revolutionizing machine learning both in academics and in industry. This grant aims to broaden participation at DeepMath; a meeting where diverse researchers across backgrounds and disciplines come together to develop a fundamental theory of Deep Learning, and by proxy other large, distributed learning systems. The central philosophy mirrors how neuroscience began with a mix of physicists, biologists, psychologists, engineers, and mathematicians all interested in the same quandary. By definition, the foundation of such an effort is in broadening participation and maximizing diversity and inclusion to create a truly egalitarian effort. This grant funds new programs aimed at ensuring that our community is accessible and welcoming to those from under-represented groups through (1) fellowship awards, (2) speaker costs (travel and lodging), and (3) broadcasting live streaming and video hosting to broader research community. Specific programs include outreach via targeted advertising and inclusion of members of these groups in the organizing committee, travel grants, childcare grants for economically disadvantaged researchers, and plans for a future mentorship programming collaboration with LatinXinAI and other professional organizations. Assessment via questionnaires and demographic data will determine which efforts succeeded most to continually refine these programs for future years.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.