Discussion Regarding Equitable Data Engagement and Responsibility with the Office of Science and Technology Policy
The Center for Data Innovation has filed a response to the Office of Science and Technology Policy (OSTP) regarding equitable data collection and use by federal agencies. The filing contains detailed recommendations aimed at improving the effectiveness of data-driven services and decision making.
The Center's recommendations involve three main areas: partnerships, data literacy curriculums, and closing the "data divide."
Firstly, the filing recommends that OSTP should support partnerships that bolster access to high-performance computing for historically underrepresented groups in the field. The emphasis is on fostering equitable opportunities in the realm of high-performance computing, a critical tool in today's data-driven world.
Secondly, the Center urges OSTP to promote robust data literacy curriculums in U.S. schools. This recommendation is designed to equip future generations with the skills necessary to navigate and understand data, fostering an informed and data-literate society.
Thirdly, the filing recommends that OSTP prioritize closing the "data divide" to improve the effectiveness of data-driven services and decision making. The "data divide" refers to disparities in data access and usage, which can hinder the fairness and accuracy of data-driven initiatives.
However, the filing does not offer a timeline for the prioritization of closing the "data divide," nor does it provide details on the implementation of the recommended data literacy curriculums. Additionally, it does not discuss the potential costs associated with the recommended changes or address the potential barriers to implementing these recommendations.
The filing also emphasizes the importance of partnerships for bolstering access to high-performance computing for historically underrepresented groups. Yet, the filing does not specify any new partners for these proposed partnerships.
It is worth noting that the available documents, mainly the AI Action Plan released by the White House under the Trump Administration in July 2025, focus on AI innovation, regulatory approaches, and data governance. However, they exclude diversity, equity, and inclusion considerations from federal AI frameworks.
As such, it is likely that the Center for Data Innovation’s specific recommendations regarding equitable data collection and use by federal agencies or the OSTP’s role therein are not publicly documented in these sources or are part of other materials not included here. For authoritative, up-to-date recommendations from the Center for Data Innovation about OSTP and equitable data use, further targeted searches of their own publications or direct statements may be necessary.
- The Center for Data Innovation's recommendations for OSTP extend beyond data literacy and partnerships, encompassing the application of Artificial Intelligence (AI) in education-and-self-development.
- The filing stresses the necessity of leveraging technology to close the "data divide," asserting that AI can play a crucial role in ensuring equitable data access and usage.
- In the realm of innovation, the Center for Data Innovation advocates for data-driven approaches that prioritize diversity, equity, and inclusion, aiming to optimize the fairness and accuracy of federal AI frameworks.
