The National Science Foundation’s (NSF’s) Computer and Information Science and Engineering (CISE) Directorate and the Networking and Information Technology Research and Development National Coordination Office (NITRD NCO) were asked to provide examples of federal computing research programs announced or continued in fiscal year 2021 that include a call for research aimed at identifying and confronting ethical and societal concerns related to the computing research being proposed and factors to be considered in addressing them, including multidisciplinary research aimed at identifying ethical and societal concerns related to computing research. Programs apparently focused only on research ethics and integrity or regulatory compliance were removed from the lists the agencies provided.
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1 National Research Council and National Academy of Engineering, 2014, Emerging and Readily Available Technologies and National Security: A Framework for Addressing Ethical, Legal, and Societal Issues, Washington, DC, The National Academies Press, https://doi.org/10.17226/18512.
The National Institutes of Health (NIH) Strategic Plan for Data Science aims “to balance the need for maximizing opportunities to advance biomedical research with responsible strategies for sustaining public trust, participant safety, and data security” and “[i]mprove the education of students on NIH training grants by enriching content in Responsible Conduct of Research requirements with information about secure and ethical data use.”
The AIM-AHEAD Coordinating Center is designed to “increase the participation and representation of researchers and communities currently underrepresented in the development of AI/ML models.”
The Office of Data Science Strategy announced that NIH is funding a new consortium to lead the AIM-AHEAD coordinating center, bringing “together experts in community engagement, AI/machine learning (ML), health equity research, data science training, and data infrastructure.”
NIH issued an RFI on “current challenges and opportunities of using cloud computing at universities and colleges” to increase cloud computing access in “diverse biomedical research institutions.” The RFI asks for responses to topics such as “barriers to adopt cloud computing including, but not limited to, training and infrastructure gaps, technical barriers, social challenges, perceived risks, and costs.” It also requests information on “opportunities and potential impact on biomedical, clinical, behavioral and social science research from greater use of cloud computing.”
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