We found that Americans were net-positive on AI broadly, but significantly more negative on datacenters specifically: 46% of voters view datacenters unfavorably, including 24% who view them very unfavorably, versus just 29% with a favorable view.
【数据】这一民意调查结果提供了公众对数据中心态度的具体量化数据，显示了公众对AI和数据中心的明显分化态度。46%的选民对数据中心持负面看法，只有29%持正面看法，这一数据有助于理解为什么数据中心建设面临越来越多的政治阻力，为分析政策环境提供了重要背景。
Moreover, ownership of data cannot be left solely in private hands but must be appropriately regulated. Data is the product of many contributors and should not be treated as something to be sold off or entrusted to a select few. It is necessary to think creatively in order to manage data as a common or shared good, in a spirit of participation, as Saint John Paul II already suggested regarding collective goods. [128]
Data as a "collective good". (I suspect the fine points of the distinction between "public good" and "collective good" may be important here.)
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.
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。
**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.
Kissane, E. (2021, December 23). We’re About to Lose Track of the Pandemic. The Atlantic. https://www.theatlantic.com/ideas/archive/2021/12/were-about-to-lose-track-of-the-pandemic/621097/
Pouria Hadjibagheri [@Pouriaaa]. (2021, July 14). The state of the UK’s statistical system 2020/21 by @StatsRegulation Thank you! 🎊😀🎉 See the report: Https://osr.statisticsauthority.gov.uk/publication/the-state-of-the-uks-statistical-system-2020-21/pages/8/ https://t.co/dEBmVz3oTm [Tweet]. Twitter. https://twitter.com/Pouriaaa/status/1415371346775838725
Jørgensen, F. J., Nielsen, L. H., & Petersen, M. B. (2021). Willingness to Take the Booster Vaccine in a Nationally Representative Sample of Danes. PsyArXiv. https://doi.org/10.31234/osf.io/wurz8
Petersen, M. B., Rasmussen, M. S., Lindholt, M. F., & Jørgensen, F. J. (2021). Pandemic Fatigue and Populism: The Development of Pandemic Fatigue during the COVID-19 Pandemic and How It Fuels Political Discontent across Eight Western Democracies. PsyArXiv. https://doi.org/10.31234/osf.io/y6wm4
Imperial News. ‘“Issue of Inequalities” for Long COVID Patients Needs to Be Addressed | Imperial News | Imperial College London’. Accessed 22 April 2022. https://www.imperial.ac.uk/news/232234/issue-inequalities-long-covid-patients-needs/.
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
ReconfigBehSci on Twitter: ‘Now #scibeh2020: Pat Healey from QMU, Univ. Of London speaking about (online) interaction and miscommunication in our session on “Managing Online Research Discourse” https://t.co/Gsr66BRGcJ’ / Twitter. (n.d.). Retrieved 6 March 2021, from https://twitter.com/SciBeh/status/1326155809437446144
Richard. (2021, October 17). @fascinatorfun Letter to parents sent to me by a friend today … https://t.co/Ivn93WLD9t [Tweet]. @dikt54. https://twitter.com/dikt54/status/1449763622020866055
Jens von Bergmann. (2021, December 14). Every time a new variant with a selective advantage is making the rounds, but especially this time. Https://t.co/fDEq54nHCl [Tweet]. @vb_jens. https://twitter.com/vb_jens/status/1470604121640030214
indie_SAGE. (2022, February 11). Indie_SAGE 11.02.2022. https://www.youtube.com/watch?v=0GC9QsKfrNc
Dr. Peter Hotez: Omicron is like a fast-moving freight train. (n.d.). MSN. Retrieved February 20, 2022, from https://www.msn.com/en-us/news/us/dr-peter-hotez-omicron-is-like-a-fast-moving-freight-train/vi-AARPfVG
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
Mahan Ghafari, ماهان غفاری. (2022, February 1). After the daily covid-19 cases in Iran dropped to record-low numbers last month, it is now back in full swing due to omicron! Map on the left (mostly coloured in blue) shows the situation in late december and the one on the right is from 2 days ago (many in amber or red). 1/ https://t.co/vgpwuiymbl [Tweet]. @Mahan_Ghafari. https://twitter.com/Mahan_Ghafari/status/1488481042847698946
Mackay, A. I. M. & PhD. (2022, January 29). Thank goodness we did all the work. Virology Down Under. https://virologydownunder.com/thank-goodness-we-did-all-the-work/
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
Welcome to the Australian Crisis Mobility Portal. (n.d.). Mobility-Aus. Retrieved January 10, 2022, from https://rsbyrne.github.io/mobility-aus/
Fischer, O., Jeitziner, L., & Wulff, D. U. (2021). Affect in science communication: A data-driven analysis of TED talks. PsyArXiv. https://doi.org/10.31234/osf.io/28yc5
Happi, C. T., & Nkengasong, J. N. (2022). Two years of COVID-19 in Africa: Lessons for the world. Nature, 601(7891), 22–25. https://doi.org/10.1038/d41586-021-03821-8
Colosi, E., Bassignana, G., Contreras, D. A., Poirier, C., Boëlle, P.-Y., Cauchemez, S., Yazdanpanah, Y., Lina, B., Fontanet, A., Barrat, A., & Colizza, V. (2021). Screening and vaccination against COVID-19 to minimize school closure (p. 2021.08.15.21261243). https://doi.org/10.1101/2021.08.15.21261243
Iacobucci, G. (2021). Covid-19 and pregnancy: Vaccine hesitancy and how to overcome it. BMJ, 375, n2862. https://doi.org/10.1136/bmj.n2862
Sridhar, D. (2021, November 28). How bad will the Omicron Covid variant be in Britain? Three things will tell us. The Guardian. https://www.theguardian.com/commentisfree/2021/nov/28/omicron-covid-variant-britain-southern-africa
News, A. B. C. (n.d.). COVID-19 vaccine mandates moving the needle, experts say. ABC News. Retrieved November 11, 2021, from https://abcnews.go.com/Health/covid-19-vaccine-mandates-moving-needle-experts/story?id=80928249
Frost, M. (n.d.). Busting COVID-19 vaccination myths. Retrieved November 2, 2021, from https://acpinternist.org/archives/2021/11/busting-covid-19-vaccination-myths.htm
Quantifying The COVID-19 Public Health Media Narrative Through TV & Radio News Analysis – The GDELT Project. (n.d.). Retrieved May 14, 2021, from https://blog.gdeltproject.org/quantifying-the-covid-19-public-health-media-narrative-through-tv-radio-news-analysis/
Misinformation Alerts - Public Health Communications Collaborative. (n.d.). Public Health Communication Collaborative. Retrieved September 24, 2021, from https://publichealthcollaborative.org/misinformation-alerts/
Mazumdar, S., & Thakker, D. (2020). Citizen Science on Twitter: Using Data Analytics to Understand Conversations and Networks. Future Internet, 12(12), 210. https://doi.org/10.3390/fi12120210
WFSB. “Answer Desk: Should We Be Concerned about New COVID Variants This Fall?” Accessed September 20, 2021. https://www.wfsb.com/news/answer-desk-should-we-be-concerned-about-new-covid-variants-this-fall/article_301bcd2a-14dd-11ec-9d6e-c3dc18f6232c.html.
People with weak immune systems may need COVID booster shots: Infectious disease expert. (n.d.). Fox Business. Retrieved 17 September 2021, from http://video.foxbusiness.com/v/6272871561001/
Aleta, A., Blas-Laína, J. L., Anglés, G. T., & Moreno, Y. (2021). Unraveling the COVID-19 hospitalization dynamics in Spain using publicly available data (p. 2021.09.03.21263086). https://www.medrxiv.org/content/10.1101/2021.09.03.21263086v1
Zuckerman, E. (2021). Demand five precepts to aid social-media watchdogs. Nature, 597(7874), 9–9. https://doi.org/10.1038/d41586-021-02341-9
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
Do your neighbors want to get vaccinated? (n.d.). MIT Technology Review. Retrieved 11 February 2021, from https://www.technologyreview.com/2021/01/16/1016264/covid-vaccine-acceptance-us-county/
Padilla, L., Hosseinpour, H., Fygenson, R., Howell, J., Chunara, R., & Bertini, E. (2021). Effects of COVID-19 Uncertainty Visualizations on Novice Risk Estimates. PsyArXiv. https://doi.org/10.31234/osf.io/6axc7
Delta variant said to be far more widespread than federal estimates—POLITICO. (n.d.). Retrieved July 8, 2021, from https://www.politico.com/news/2021/07/08/delta-coronavirus-variant-widespread-498787?utm_source=dlvr.it&utm_medium=twitter
RichardBrown on Twitter: “@Richard_Florida Still pretty slow recovery in London too @nicolegelinas. Https://t.co/nH9FOpV386” / Twitter. (n.d.). Retrieved June 29, 2021, from https://twitter.com/MinorPlaces/status/1407018950714605574
Why most people who now die with Covid in England have had a vaccination | David Spiegelhalter and Anthony Masters | The Guardian. (n.d.). Retrieved June 28, 2021, from https://www.theguardian.com/theobserver/commentisfree/2021/jun/27/why-most-people-who-now-die-with-covid-have-been-vaccinated?CMP=Share_iOSApp_Other
What is behind the low covid-19 vaccine take-up in some ethnic minorities? - The BMJ. (n.d.). Retrieved June 27, 2021, from https://blogs.bmj.com/bmj/2021/04/08/what-is-behind-the-low-covid-19-vaccine-take-up-in-some-ethnic-minorities/?utm_source=twitter&utm_medium=social&utm_term=hootsuite&utm_content=sme&utm_campaign=usage
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
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
UK tightens borders and travel rules as variants spark new alarm | Coronavirus | The Guardian. (n.d.). Retrieved June 5, 2021, from https://www.theguardian.com/world/2021/jun/03/concern-over-delta-covid-variant-tightens-borders-of-uk
Wadman, M. (2021). Antivaccine activists use a government database on side effects to scare the public. Science. https://doi.org/10.1126/science.abj6981
Data Collection and Integration to Enhance Public Health Registration, Thu, Jun 10, 2021 at 1:00 PM | Eventbrite. (n.d.). Retrieved May 28, 2021, from https://www.eventbrite.com/e/data-collection-and-integration-to-enhance-public-health-registration-156146370999
No 10 ‘tried to block’ data on spread of new Covid variant in English schools | Coronavirus | The Guardian. (n.d.). Retrieved May 24, 2021, from https://www.theguardian.com/world/2021/may/22/no-10-tried-to-block-data-on-spread-of-new-covid-variant-in-english-schools
Di Sebastiano, K. M., Chulak-Bozzer, T., Vanderloo, L. M., & Faulkner, G. (2020). Don’t Walk So Close to Me: Physical Distancing and Adult Physical Activity in Canada. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.01895
ReconfigBehSci on Twitter. (n.d.). Twitter. Retrieved 1 March 2021, from https://twitter.com/SciBeh/status/1351197475282022404
The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data. (2020, May 7). Opportunity Insights. https://opportunityinsights.org/paper/tracker/
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
Stephan Lewandowsky. (2021, March 6). 25 March deadline for submissions to our ‘special track’ https://t.co/qwLxCCSjks at Data for Policy conference, 14-16 September at UCL. Please consider submitting @SciBeh @stefanmherzog @Sander_vdLinden https://t.co/A8KSC1Tkh9 [Tweet]. @STWorg. https://twitter.com/STWorg/status/1368280722709110789
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
Jens von Bergmann on Twitter. (n.d.). Twitter. Retrieved 3 March 2021, from https://twitter.com/vb_jens/status/1329450564019761156
The Data Visualizations Behind COVID-19 Skepticism. (n.d.). The Data Visualizations Behind COVID-19 Skepticism. Retrieved March 27, 2021, from http://vis.csail.mit.edu/covid-story/
Ten scientific reasons in support of airborne transmission of SARS-CoV-2—The Lancet. (n.d.). Retrieved April 19, 2021, from https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)00869-2/fulltext
Emails show Trump officials celebrate efforts to change CDC reports on coronavirus—The Washington Post. (n.d.). Retrieved April 12, 2021, from https://www.washingtonpost.com/health/2021/04/09/cdc-covid-political-interference/
Calgary, Open. ‘COVID-19 Case Surveillance Public Use Data with Geography | Data | Centers for Disease Control and Prevention’. Accessed 26 March 2021. https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data-with-Ge/n8mc-b4w4.
Hale, Thomas. ‘What We Learned from Tracking Every COVID Policy in the World’. The Conversation. Accessed 26 March 2021. http://theconversation.com/what-we-learned-from-tracking-every-covid-policy-in-the-world-157721.
ReconfigBehSci. (2021, January 14). RT @d_spiegel: Extraordinary data from Scotland on excess deaths by cause and location in 2020 https://t.co/41KClWvMyr 6,686 deaths involvi… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1349741040664776706
Guglielmi, G. (2020). Coronavirus and public holidays: What the data say. Nature, 588(7839), 549–549. https://doi.org/10.1038/d41586-020-03545-1
Weber, Hannah Recht, Lauren. ‘As Vaccine Rollout Expands, Black Americans Still Left Behind’. Kaiser Health News (blog), 29 January 2021. https://khn.org/news/article/as-vaccine-rollout-expands-black-americans-still-left-behind/.
U.S. Census Bureau. (2021, February 4). Small Business Pulse Survey Shows Shift in Expectations from Spring to Winter. The United States Census Bureau. https://www.census.gov/library/stories/2021/01/small-business-pulse-survey-shows-shift-in-expectations-from-spring-to-winter.html?utm_campaign=20210126msacos1ccstors&utm_medium=email&utm_source=govdelivery
Li, Y. (2020, October 18). Public health measures and R. Media Hopper Create. https://media.ed.ac.uk/media/1_1uhkv3uc
Boseley, S. (2021, March 15). Coronavirus: report scathing on UK government’s handling of data. The Guardian. https://www.theguardian.com/world/2021/mar/15/mp-report-scathing-on-uk-goverment-handling-and-sharing-of-covid-data
Editorial Office · Rapid Reviews COVID-19. (n.d.). Rapid Reviews COVID-19. Retrieved 6 March 2021, from https://rapidreviewscovid19.mitpress.mit.edu/editors2
Hyland, P., Vallières, F., Shevlin, M., Bentall, R. P., McKay, R., Hartman, T. K., McBride, O., & Murphy, J. (2021). Resistance to COVID-19 vaccination has increased in Ireland and the UK during the pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/ry6n4
ReconfigBehSci on Twitter: ‘RT @PsyArXivBot: Resistance to COVID-19 vaccination has increased in Ireland and the UK during the pandemic https://t.co/AgKErDr7Yj’ / Twitter. (n.d.). Retrieved 2 March 2021, from https://twitter.com/SciBeh/status/1366707710151053312
JAMA Network. (2020, November 6). Herd Immunity as a Coronavirus Pandemic Strategy. https://www.youtube.com/watch?v=2tsUTAWBJ9M
A hidden success in the Covid-19 mess: The internet. (2020, November 11). STAT. https://www.statnews.com/2020/11/11/a-hidden-success-in-the-covid-19-mess-the-internet/
Chwalisz, C. (2021). The pandemic has pushed citizen panels online. Nature, 589(7841), 171–171. https://doi.org/10.1038/d41586-021-00046-7
GOV.UK. „Investigation of Novel SARS-CoV-2 Variant: Variant of Concern 202012/01“. Zugegriffen 22. Februar 2021. https://www.gov.uk/government/publications/investigation-of-novel-sars-cov-2-variant-variant-of-concern-20201201.
Excel: Why using Microsoft’s tool caused Covid-19 results to be lost. (2020, October 5). BBC News. https://www.bbc.com/news/technology-54423988
Report of 8% vaccine efficacy for elderly debunked by German government. (14:24:16+00:00). Full Fact. https://fullfact.org/health/german-astrazeneca-8-percent-handelsblatt/
Cardozo Law Review. „COVID-19 and Digital Contact Tracing: Regulating the Future of Public Health Surveillance“, 27. Januar 2021. https://cardozolawreview.com/covid-19-and-digital-contact-tracing-regulating-the-future-of-public-health-surveillance/.
Naudé. W., (2020). Artificial Intelligence against COVID-19: An Early Review. Institute of Labor Economics. Retrieved from: https://covid-19.iza.org/publications/dp13110/
AI and control of Covid-19 coronavirus. (n.d.). Artificial Intelligence. Retrieved October 15, 2020, from https://www.coe.int/en/web/artificial-intelligence/ai-and-control-of-covid-19-coronavirus
r/BehSciResearch—Review on combatting the COVID misinformation flood. (n.d.). Reddit. Retrieved October 12, 2020, from https://www.reddit.com/r/BehSciResearch/comments/j9mrlp/review_on_combatting_the_covid_misinformation/
New tool for the early detection of public health threats from Twitter data: Epitweetr. (2020, October 1). European Centre for Disease Prevention and Control. https://www.ecdc.europa.eu/en/news-events/new-tool-early-detection-public-health-threats-twitter-data-epitweetr
Shauna Brail on Twitter. (n.d.). Twitter. Retrieved October 9, 2020, from https://twitter.com/shaunabrail/status/1313818873163067392
NIH VideoCast—Joseph Leiter NLM/MLA Lectureship: Digital Epidemiology and the COVID-19 Pandemic. (n.d.). Retrieved 6 October 2020, from https://videocast.nih.gov/watch=38269
Knawy, B. A., Adil, M., Crooks, G., Rhee, K., Bates, D., Jokhdar, H., Klag, M., Lee, U., Mokdad, A. H., Schaper, L., Hazme, R. A., Khathaami, A. M. A., & Abduljawad, J. (2020). The Riyadh Declaration: The role of digital health in fighting pandemics. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)31978-4
Holman, E. A., Thompson, R. R., Garfin, D. R., & Silver, R. C. (2020). The unfolding COVID-19 pandemic: A probability-based, nationally representative study of mental health in the U.S. Science Advances, eabd5390. https://doi.org/10.1126/sciadv.abd5390
Transport use during the coronavirus (COVID-19) pandemic. (n.d.). GOV.UK. Retrieved September 18, 2020, from https://www.gov.uk/government/statistics/transport-use-during-the-coronavirus-covid-19-pandemic
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
Home—COVID 19 forecast hub. (n.d.). Retrieved August 28, 2020, from https://covid19forecasthub.org/
Marijon, E., Karam, N., Jost, D., Perrot, D., Frattini, B., Derkenne, C., Sharifzadehgan, A., Waldmann, V., Beganton, F., Narayanan, K., Lafont, A., Bougouin, W., & Jouven, X. (2020). Out-of-hospital cardiac arrest during the COVID-19 pandemic in Paris, France: A population-based, observational study. The Lancet Public Health, 5(8), e437–e443. https://doi.org/10.1016/S2468-2667(20)30117-1
The Trump administration must stop sidelining the CDC. (2020). Nature, 583(7818), 660–660. https://doi.org/10.1038/d41586-020-02231-6
Holtz, D., Zhao, M., Benzell, S. G., Cao, C. Y., Rahimian, M. A., Yang, J., Allen, J., Collis, A., Moehring, A., Sowrirajan, T., Ghosh, D., Zhang, Y., Dhillon, P. S., Nicolaides, C., Eckles, D., & Aral, S. (2020). Interdependence and the cost of uncoordinated responses to COVID-19. Proceedings of the National Academy of Sciences, 117(33), 19837–19843. https://doi.org/10.1073/pnas.2009522117
Alipio, M. (2020). Do socio-economic indicators associate with COVID-2019 cases? Findings from a Philippine study [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/e2hfa
Mak, H. W., & Fancourt, D. (2020). Predictors of engaging in voluntary work during the Covid-19 pandemic: Analyses of data from 31,890 adults in the UK. https://doi.org/10.31235/osf.io/er8xd
Stay-At-Home Orders, Social Distancing and Trust. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 5, 2020, from https://covid-19.iza.org/publications/dp13234/
Public Health England has changed its definition of deaths: Here’s what it means. (n.d.). CEBM. Retrieved 14 August 2020, from https://www.cebm.net/covid-19/public-health-england-death-data-revised/
AP NEWS. ‘Health Officials Are Quitting or Getting Fired amid Outbreak’, 10 August 2020. https://apnews.com/8ea3b3669bccf8a637b81f8261f1cd78.
Stock, James H. ‘Data Gaps and the Policy Response to the Novel Coronavirus’. Working Paper. Working Paper Series. National Bureau of Economic Research, March 2020. https://doi.org/10.3386/w26902.
Barrios, J. M., Benmelech, E., Hochberg, Y. V., Sapienza, P., & Zingales, L. (2020). Civic Capital and Social Distancing during the Covid-19 Pandemic (Working Paper No. 27320; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27320
Modelling the Distributional Impact of the COVID-19 Crisis. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 5, 2020, from https://covid-19.iza.org/publications/dp13235/
Public Attention and Policy Responses to COVID-19 Pandemic. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 31, 2020, from https://covid-19.iza.org/publications/dp13427/
COVID-19 Local Area Data. (n.d.). Office for Statistics Regulation. Retrieved August 2, 2020, from https://osr.statisticsauthority.gov.uk/news/covid-19-local-area-data/
Coronavirus (COVID-19): Daily data for Scotland—Gov.scot. (n.d.). Retrieved July 31, 2020, from https://www.gov.scot/publications/coronavirus-covid-19-daily-data-for-scotland/
Luscombe, A., & McClelland, A. (2020). Policing the Pandemic: Tracking the Policing of Covid-19 across Canada [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/9pn27
La, V.-P., Pham, T.-H., Ho, T. M., Hoàng, N. M., Linh, N. P. K., Vuong, T.-T., Nguyen, H.-K. T., Tran, T., Van Quy, K., Ho, T. M., & Vuong, Q.-H. (2020). Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The Vietnam lessons [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/cfw8x
Motta, M., Stecula, D., & Farhart, C. E. (2020). How Right-Leaning Media Coverage of COVID-19 Facilitated the Spread of Misinformation in the Early Stages of the Pandemic [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/a8r3p
van Rooij, B., de Bruijn, A. L., Reinders Folmer, C., Kooistra, E., Kuiper, M. E., Brownlee, M., … Fine, A. (2020, April 22). Compliance with COVID-19 Mitigation Measures in the United States. https://doi.org/10.31234/osf.io/qymu3
The Lancet. (2020). The gendered dimensions of COVID-19. The Lancet, 395(10231), 1168. https://doi.org/10.1016/S0140-6736(20)30823-0
Haman, M. (2020). The use of Twitter by state leaders and its impact on the public during the COVID-19 pandemic. https://doi.org/10.31235/osf.io/u4maf
ReconfigBehSci on Twitter: “SciBeh now has a video describing our initative! watch, retweet.... https://t.co/j3TF3zfdIt” / Twitter. (n.d.). Twitter. Retrieved June 29, 2020, from https://twitter.com/scibeh/status/1277260447029362688
Dunn, M., Stephany, F., Sawyer, S., Munoz, I., Raheja, R., Vaccaro, G., & Lehdonvirta, V. (2020). When Motivation Becomes Desperation: Online Freelancing During the COVID-19 Pandemic [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/67ptf
Report: COVID-19 in schools – the experience in NSW | NCIRS. (n.d.). Retrieved July 4, 2020, from http://www.ncirs.org.au/covid-19-in-schools
Rauschenberg, C., Schick, A., Goetzl, C., Röhr, S., Riedel-Heller, S., Koppe, G., Durstewitz, D., Krumm, S., & Reininghaus, U. (2020). Social isolation, mental health and use of digital interventions in youth during the COVID-19 pandemic: A nationally representative survey [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/v64hf
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
Groarke, J., Berry, E., Wisener, L.-G., McKenna-Plumley, P., McGlinchey, E., & Armour, C. (2020). Loneliness in the UK during the COVID-19 pandemic: Cross-sectional results from The COVID-19 Psychological Wellbeing Study [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/j2pce
DELVE group publishes evidence paper on the use of face masks in tackling Coronavirus (COVID-19) pandemic | Royal Society. (2020 May 04). https://royalsociety.org/news/2020/05/delve-group-publishes-evidence-paper-on-use-of-face-masks/
Raleigh, V. S. (2020). Tackling UK’s mortality problem: Covid-19 and other causes. BMJ, 369. https://doi.org/10.1136/bmj.m2295
Gozzi, N., Tizzani, M., Starnini, M., Ciulla, F., Paolotti, D., Panisson, A., & Perra, N. (2020). Collective response to the media coverage of COVID-19 Pandemic on Reddit and Wikipedia. ArXiv:2006.06446 [Physics]. http://arxiv.org/abs/2006.06446
Pueyo, T. (2020, June 12). Coronavirus: Should We Aim for Herd Immunity Like Sweden? Medium. https://medium.com/@tomaspueyo/coronavirus-should-we-aim-for-herd-immunity-like-sweden-b1de3348e88b
Covid-19. (n.d.). Covid-19. Retrieved June 8, 2020, from https://ispmbern.github.io/covid-19/living-review/
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
Boseley, Sarah, and Melissa Davey. ‘Covid-19: Lancet Retracts Paper That Halted Hydroxychloroquine Trials’. The Guardian, 4 June 2020, sec. World news. https://www.theguardian.com/world/2020/jun/04/covid-19-lancet-retracts-paper-that-halted-hydroxychloroquine-trials.
Bostrom, A., Böhm, G., O’Connor, R. E., Hanss, D., Bodi-Fernandez, O., & Halder, P. (2020). Comparative risk science for the coronavirus pandemic. Journal of Risk Research, 0(0), 1–10. https://doi.org/10.1080/13669877.2020.1756384
Ryan, W., & Evers, E. (2020). Logarithmic Axis Graphs Distort Lay Judgment. https://doi.org/10.31234/osf.io/cwt56
The COVID Tracking Project. https://covidtracking.com/
Vespignani, A., Tian, H., Dye, C. et al. Modelling COVID-19. Nat Rev Phys (2020). https://doi.org/10.1038/s42254-020-0178-4
Bento, A. I., Nguyen, T., Wing, C., Lozano-Rojas, F., Ahn, Y.-Y., & Simon, K. (2020). Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases. Proceedings of the National Academy of Sciences, 202005335. https://doi.org/10.1073/pnas.2005335117
A flood of coronavirus apps are tracking us. Now it’s time to keep track of them. (n.d.). MIT Technology Review. Retrieved May 12, 2020, from https://www.technologyreview.com/2020/05/07/1000961/launching-mittr-covid-tracing-tracker/
Drew, D. A., Nguyen, L. H., Steves, C. J., Menni, C., Freydin, M., Varsavsky, T., Sudre, C. H., Cardoso, M. J., Ourselin, S., Wolf, J., Spector, T. D., Chan, A. T., & Consortium§, C. (2020). Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science. https://doi.org/10.1126/science.abc0473
Hill, H. (2020 April 9). COVID-19: Does the British public condone cell phone data being used to monitor social distancing? Psychonomic Society. https://featuredcontent.psychonomic.org/covid-19-does-the-british-public-condone-cell-phone-data-being-used-to-monitor-social-distancing/
Ferres, L. (2020 April 10). COVID19 mobility reports. Leo's Blog. https://leoferres.info/blog/2020/04/10/covid19-mobility-reports/
Wang, T., Chen, X., Zhang, Q., & Jin, X. (2020, April 26). Use of Internet data to track Chinese behavior and interest in COVID-19. https://doi.org/10.31234/osf.io/j6m8q
r/BehSciResearch—Social Licensing of Privacy-Encroaching Policies to Address COVID. (n.d.). Reddit. Retrieved April 27, 2020, from https://www.reddit.com/r/BehSciResearch/comments/fq0rvm/social_licensing_of_privacyencroaching_policies/
CDC. (2020, February 11). Coronavirus Disease 2019 (COVID-19). Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/covid-data/forecasting-us.html
Olapegba, P. O., Ayandele, O., Kolawole, S. O., Oguntayo, R., Gandi, J. C., Dangiwa, A. L., … Iorfa, S. K. (2020, April 12). COVID-19 Knowledge and Perceptions in Nigeria. https://doi.org/10.31234/osf.io/j356x
El Shoghri, A., et al. (2020 April 03). How mobility patterns drive disease spread: A case study using public transit passenger card travel data. 2019 IEEE 20th International Symposium on "A World of Wireless, Mobile and Multimedia Networks". DOI:10.1109/WoWMoM.2019.8793018
Viner, R. M., et al. (2020 April 06). School closure and management practices during coronavirus outbreaks including COVID-19: a rapid systematic review. The Lancet. DOI: https://doi.org/10.1016/S2352-4642(20)30095-X.
Gao, S., Rao, J., Kang, Y., Liang, Y., & Kruse, J. (2020). Mapping county-level mobility pattern changes in the United States in response to COVID-19. ArXiv:2004.04544 [Physics, q-Bio]. http://arxiv.org/abs/2004.04544
Klepac, P., Kucharski, A. J., Conlan, A. J., Kissler, S., Tang, M., Fry, H., & Gog, J. R. (2020). Contacts in context: Large-scale setting-specific social mixing matrices from the BBC Pandemic project [Preprint]. Epidemiology. https://doi.org/10.1101/2020.02.16.20023754
Callaghan, S. (2020). COVID-19 Is a Data Science Issue. Patterns, 100022. https://doi.org/10.1016/j.patter.2020.100022
YouGov UK COVID-19 Monitor
Coronavirus (COVID-19): Sharing research data | Wellcome. (n.d.). Retrieved April 16, 2020, from https://wellcome.ac.uk/coronavirus-covid-19/open-data
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."
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.
In October 2014 the Open Knowledge Foundation recommends the Creative Commons CC0 license to dedicate content to the public domain,[51][52] and the Open Data Commons Public Domain Dedication and License (PDDL) for data.[53]
When data is public domain it is recommended to use the CC0 Public Domain license for clarity.
(Crazy app uptake + riding data + math wizardry = many surprises in store.)
Like Waze for public transit? Way to merge official Open Data from municipal authorities with the power of crowdsourcing mass transportation.