149 Matching Annotations
  1. Last 7 days
    1. Even with that, World has had trouble getting buy-in from the general public, and rightfully so. Trusting your biometrics to any third party seems like a mistake (just look at how well third-party verification services have handled the sensitive data entrusted to them for age-assurance checks).

      This statement expresses a critical view of the technology, suggesting that public trust is a significant barrier, and it references past issues with third-party verification services, which could be a point of concern for readers.

    1. benchmarks sourced from publicly available material carry contamination risk, where training-data exposure can silently inflate scores.

      大多数人认为公开数据集是AI评估的金标准,能够提供客观公正的测试环境。但作者警告,使用公开材料构建的基准测试存在污染风险,训练数据接触会悄无声息地提高分数。这一观点挑战了AI评估领域的传统做法,暗示我们需要更严格的数据隔离措施或转向私有数据集进行评估。

  2. Apr 2023
    1. **Recommend Resource: ** Under the "More Information About Other Open Movements" I recommended adding Higashinihon Daishinsai Shashin Hozon Purojekuto, (trans. Great Earthquake of Eastern Japan Photo Archiving Project) which is one of Japan's open government and open data efforts to document all photographs about Japan's 2011 earthquake.

      The site currently contains close to 40,000 photographs of the aftermath of the natural disaster.

      The photos are hosted by Yahoo! Japan and are published under non-commercial clause for open access to the public.

  3. Aug 2022
  4. Jul 2022
  5. Apr 2022
    1. Dr Nisreen Alwan 🌻. (2020, March 14). Our letter in the Times. ‘We request that the government urgently and openly share the scientific evidence, data and modelling it is using to inform its decision on the #Covid_19 public health interventions’ @richardhorton1 @miriamorcutt @devisridhar @drannewilson @PWGTennant https://t.co/YZamKCheXH [Tweet]. @Dr2NisreenAlwan. https://twitter.com/Dr2NisreenAlwan/status/1238726765469749248

  6. Mar 2022
  7. Feb 2022
    1. Eric Feigl-Ding. (2022, January 17). Pandemic leadership matters. #COVID19 mortality per capita by state. 📍Public health is policy, policy is politics. 📍Human behavior is often driven by misinformation. 📍Misinformation is often driven by politics. 📍Politics can be changed by voting—Unless voters can’t. Https://t.co/pFkndQZrfr [Tweet]. @DrEricDing. https://twitter.com/DrEricDing/status/1483181226815012867

  8. Jan 2022
    1. Patone, M., Mei, X. W., Handunnetthi, L., Dixon, S., Zaccardi, F., Shankar-Hari, M., Watkinson, P., Khunti, K., Harnden, A., Coupland, C. A., Channon, K. M., Mills, N. L., Sheikh, A., & Hippisley-Cox, J. (2021). Risk of myocarditis following sequential COVID-19 vaccinations by age and sex (p. 2021.12.23.21268276). medRxiv. https://doi.org/10.1101/2021.12.23.21268276

  9. Dec 2021
  10. Nov 2021
  11. Oct 2021
  12. Sep 2021
  13. Jul 2021
    1. Nick Holliman. (2021, May 30). @anthonybmasters @d_spiegel A quick visual summary of data on this week’s article by @anthonybmasters & @d_spiegel The outlook is uncertain, although we have survived a variant once already (B.1.1.7). The data on the effect of variants is analysed as fast as it (reliably) arrives. Https://t.co/vOKmCxYMGT https://t.co/3ZeJJTdRs3 [Tweet]. @binocularity. https://twitter.com/binocularity/status/1398957348492918784

  14. Jun 2021
    1. Deepti Gurdasani on Twitter: “I’m still utterly stunned by yesterday’s events—Let me go over this in chronological order & why I’m shocked. - First, in the morning yesterday, we saw a ‘leaked’ report to FT which reported on @PHE_uk data that was not public at the time🧵” / Twitter. (n.d.). Retrieved June 27, 2021, from https://twitter.com/dgurdasani1/status/1396373990986375171

    1. Bolze, A., Cirulli, E. T., Luo, S., White, S., Cassens, T., Jacobs, S., Nguyen, J., Ramirez, J. M., Sandoval, E., Wang, X., Wong, D., Becker, D., Laurent, M., Lu, J. T., Isaksson, M., Washington, N. L., & Lee, W. (2021). Rapid displacement of SARS-CoV-2 variant B.1.1.7 by B.1.617.2 and P.1 in the United States [Preprint]. Infectious Diseases (except HIV/AIDS). https://doi.org/10.1101/2021.06.20.21259195

  15. May 2021
    1. Robert Colvile. (2021, February 16). The vaccine passports debate is a perfect illustration of my new working theory: That the most important part of modern government, and its most important limitation, is database management. Please stick with me on this—It’s much more interesting than it sounds. (1/?) [Tweet]. @rcolvile. https://twitter.com/rcolvile/status/1361673425140543490

    1. ReconfigBehSci on Twitter: ‘the SciBeh initiative is about bringing knowledge to policy makers and the general public, but I have to say this advert I just came across worries me: Where are the preceding data integrity and data analysis classes? Https://t.co/5LwkC1SVyF’ / Twitter. (n.d.). Retrieved 18 February 2021, from https://twitter.com/SciBeh/status/1362344945697308674

  16. Apr 2021
  17. Mar 2021
  18. Feb 2021
  19. Jan 2021
  20. Oct 2020
  21. Sep 2020
  22. Aug 2020
    1. Lozano, R., Fullman, N., Mumford, J. E., Knight, M., Barthelemy, C. M., Abbafati, C., Abbastabar, H., Abd-Allah, F., Abdollahi, M., Abedi, A., Abolhassani, H., Abosetugn, A. E., Abreu, L. G., Abrigo, M. R. M., Haimed, A. K. A., Abushouk, A. I., Adabi, M., Adebayo, O. M., Adekanmbi, V., … Murray, C. J. L. (2020). Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)30750-9

  23. Jul 2020
  24. Jun 2020
    1. Rosenberg, E. S., Tesoriero, J. M., Rosenthal, E. M., Chung, R., Barranco, M. A., Styer, L. M., Parker, M. M., John Leung, S.-Y., Morne, J. E., Greene, D., Holtgrave, D. R., Hoefer, D., Kumar, J., Udo, T., Hutton, B., & Zucker, H. A. (2020). Cumulative incidence and diagnosis of SARS-CoV-2 infection in New York. Annals of Epidemiology. https://doi.org/10.1016/j.annepidem.2020.06.004

    1. Oliver, N., Lepri, B., Sterly, H., Lambiotte, R., Deletaille, S., Nadai, M. D., Letouzé, E., Salah, A. A., Benjamins, R., Cattuto, C., Colizza, V., Cordes, N. de, Fraiberger, S. P., Koebe, T., Lehmann, S., Murillo, J., Pentland, A., Pham, P. N., Pivetta, F., … Vinck, P. (2020). Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Science Advances, 6(23), eabc0764. https://doi.org/10.1126/sciadv.abc0764

  25. May 2020
  26. Apr 2020
    1. Google's move to release location data highlights concerns around privacy. According to Mark Skilton, director of the Artificial Intelligence Innovation Network at Warwick Business School in the UK, Google's decision to use public data "raises a key conflict between the need for mass surveillance to effectively combat the spread of coronavirus and the issues of confidentiality, privacy, and consent concerning any data obtained."
  27. Mar 2020
    1. Not only are public transport datasets useful for benchmarking route planning systems, they are also highly useful for benchmarking geospatial [13, 14] and temporal [15, 16] RDF systems due to the intrinsic geospatial and temporal properties of public transport datasets. While synthetic dataset generators already exist in the geospatial and temporal domain [17, 18], no systems exist yet that focus on realism, and specifically look into the generation of public transport datasets. As such, the main topic that we address in this work, is solving the need for realistic public transport datasets with geospatial and temporal characteristics, so that they can be used to benchmark RDF data management and route planning systems. More specifically, we introduce a mimicking algorithm for generating realistic public transport data, which is the main contribution of this work.
  28. Sep 2018
  29. Sep 2016