Report Endnotes

A National AI for Good Initiative

Identification and development of datasets

  1. David Rolnick et al., “Tackling climate change with machine learning,” arXiv preprint (2019), arXiv:1906.05433, https://arxiv.org/pdf/1906.05433.pdf.
  2. Arjun Kharpal, “Power is ‘up for grabs’: Behind China’s plan to shape the future of next-generation tech,”CNBC, April 26 2020, https://www.cnbc.com/2020/04/27/china-standards-2035-explained.html.
  3. Lulu Yilun Chen, “U.S. Blacklist Hurt Megvii’s Sales Before IPO Attempt,” Bloomberg, April 6, 2020, https://www.bloomberg.com/news/articles/2020-04-06/u-s-blacklist-hurt-china-ai-giant-s-sales-ahead-of-ipo-attempt.
  4. Sarah O’Meara, “Will China lead the world in AI by 2030?” Nature, August 21, 2019.
  5. John F. Sargent Jr., Federal Research and Development (R&D) Funding: FY2021, Congressional Research Service R46341,December 17, 2020, https://fas.org/sgp/crs/misc/R46341.pdf.
  6. The Select Committee on AI and the NSTC. The National Artificial Intelligence Research & Development Strategic Plan: 2019 Update.
  7. The White House Office of Science and Technology Policy, American Artificial Intelligence Initiative: Year One Annual Report. The White House, 2020.
  8. The Select Committee on AI and the NSTC, The National Artificial Intelligence Research & Development Strategic Plan: 2019 Update, 2019.
  9. Office of Management and Budget, Executive Office of the President, Identifying Priority Access or Quality Improvements forFederal Data and Models for Artificial Intelligence Research and Development (R&D), and Testing; Request for Information, July 10, 2019, https://www.federalregister.gov/documents/2019/07/10/2019-14618/identifying-priority-access-or-qualityimprovements-for-federal-data-and-models-for-artificial.
  10. “About Us,” SpaceNet, accessed 2020, https://spacenet.ai/about-us/.
  11. Ryan Lewis, “SpaceNet Turns Four” The DownLinQ, August 10, 2020, https://medium.com/the-downlinq/spacenet-turns-four-fb646e32ba5a.
  12. Aida Ramattalabi et al., “Exploring Algorithmic Fairness in Robust Graph Covering Problems, 33rd Conference on Neural Information Processing Systems (Vancouver: NeurIPS 2019).
  13. “ClimateNet,” National Energy Research Scientific Computing Center (NERSC), last modified October 17, 2019, https://www.nersc.gov/research-and-development/data-analytics/big-data-center/climatenet/.
  14. John Etchemendy and Fei-Fei Li, “National Research Cloud: Ensuring the Continuation of American Innovation,” Stanford University Human-Centered Artificial Intelligence, March 28, 2020, https://hai.stanford.edu/news/national-research-cloud-ensuring-continuation-american-innovation.
  15. Climate Change AI, “Tackling Climate Change with ML: Dataset Wishlist,” 2020, https://docs.google.com/document/d/1E1vhuGNiUWUbij8WxqNbTfytxfyaS9LnaBEdx58KQQc/edit.
  16. “Autonomous Greenhouses 2nd Edition,” Wageningen University & Research, https://www.wur.nl/en/project/autonomous-greenhouses-2nd-edition.htm.
  17. “Competitions,” Kaggle, https://www.kaggle.com/competitions
  18. “SpacenetTM: Accelerating Geospatial Machine Learning,” Spacenet, 2020, https://spacenet.ai/
  19. “Prize Challenges,” Defense Advanced Research Projects Agency, https://www.darpa.mil/work-with-us/public/prizes.
  20. DJ Patil, Hilary Mason, Mike Loukides, “The five Cs,” O’Reilly, July 24, 2018, https://www.oreilly.com/radar/the-five-cs/.
  21. The White House, “Precision Medicine Initiative: Data Security Policy Principles and Framework,” May 25, 2016, https://obamawhitehouse.archives.gov/sites/obamawhitehouse.archives.gov/files/documents/PMI_Security_Principles_Framework_v2.pdf.