Google Cloud launched a parallel $750m fund to pay McKinsey, Accenture, and Deloitte to train engineers and co-fund client AI projects.
谷歌云的7.5亿美元基金规模约为OpenAI DeployCo(100亿美元)的7.5%，但谷歌云直接向咨询公司支付费用而非承诺回报率。这反映了不同AI厂商采用的不同分销策略，OpenAI通过PE firms获得企业渠道，而谷歌云则通过咨询公司实现市场渗透。
We test for a trend over time by fitting a weighted linear model to the log-odds of usage. Under this specification, Claude is the only AI service in the survey to show a statistically significant upward trend over this period
令人惊讶的是：研究团队使用了对数几率加权线性模型来分析趋势，发现Claude是唯一一个在统计上显示出显著增长趋势的AI服务。这种复杂的统计分析方法揭示了表面上微小变化背后的真实趋势。
Interviews were video and audio recorded. We transcribed the audio using OpenAI's Whisper automatic speech recognition system and anonymized the transcript before analysis. We analyzed the interview data using thematic analysis [1]. First, two members of the research team independently coded four (25% of collected data) randomly chosen participant data to generate low-level codes. The inter-coder reliability between the coders was 0.88 using Krippendorff's alpha [37]. The two coders then met together to cross-check, resolve coding conflicts, and consolidate the codes into a codebook across two sessions. Using the codebook, the two coders analyzed six randomly selected participant data each. The research team then met, discussed the analysis outcomes, and finalized themes over three sessions.
sentence describing how analysis was performed on data collected by the authors of this paper
We conducted a qualitative analysis of user study transcripts and survey responses using a Grounded Theory approach [8]. First, the lead researcher collected a list of participants' behaviors, approaches, reflections on their experience, and feedback about the interface. The researcher then systematically coded this data, revisiting the data multiples times and refining the codes to ensure consistency and coherence. Through this process, high-level themes were identified and organized using affinity diagramming. Once the thematic structure was finalized, the researcher gathered supporting evidence for each theme and synthesized the findings, which were reviewed by the research team to ensure agreement on the results.
sentence describing how analysis was performed on data collected by the authors of this paper
Activity log data, which revealed how participants actually used the interface, echoed the above findings. According to the log data, participants spent most of their reading time (66.31%) with vertical alignment on the second element in structure pairs, followed by alignment on the first element (29.19%), and left-justified alignment (5.13%). Highlighting usage showed a similar preference: 91.13% of time with all chunks highlighted, 8.25% with partial highlighting, and minimal time (0.63%) without highlights.
sentence describing how analysis was performed on data collected by the authors of this paper
In this section, we present findings on how AbstractExplorer supports comparative close reading at scale by integrating quantitative survey responses and log data with qualitative analysis of transcripts and open-ended responses. The qualitative analysis process is described in detail in Appendix H.
sentence describing how analysis was performed on data collected by the authors of this paper
Throughout the two tasks, we also collected detailed interaction logs including counts of user-defined aspects created, duration of highlighting usage, and time allocation across the three possible alignment options.
sentence describing how analysis was performed on data collected by the authors of this paper
Both gaze data and the semi-structured interviews revealed that lower NFC participants were more willing to be guided by the three features and took advantage of them consciously.
sentence describing how analysis was performed on data collected by the authors of this paper
Using a two-tailed Mann-Whitney U Test, we found that participants who reported their lowest perceived cognitive load when all three features were enabled had significantly lower NFC than participants who reported their lowest cognitive load level when skimming with no features enabled—in the baseline interface (p=0.03).
sentence describing how analysis was performed on data collected by the authors of this paper
The raw NASA-TLX score is the sum of all 6 NASA-TLX questions after reversing the appropriate questions.
sentence describing how analysis was performed on data collected by the authors of this paper
To compute a participant's NFC score, we averaged their response to the six questions, each ranging from 1 to 7, after reversing the appropriate questions.
sentence describing how analysis was performed on data collected by the authors of this paper
For simplicity of analysis, we denote participants with NFC scores above the overall participants' median NFC of 5.42 (IQR = 0.583) as higher NFC, and lower NFC otherwise.
sentence describing how analysis was performed on data collected by the authors of this paper
To contrast participants' gaze patterns in each condition, we used a Tobii Pro Spark eye-tracker placed below the desktop monitor used by all subjects; Tobii Pro Lab software recorded each participant's gaze over time in each condition.
sentence describing how analysis was performed on data collected by the authors of this paper
We collected 80 sentences from our abstracts dataset labeled by our system as "Methodology/Contribution." Participants viewed the same 80 sentences in each condition—often with a different subset of sentences initially visible due to ordering changes—but only had two minutes to look at them in each condition.
sentence describing how analysis was performed on data collected by the authors of this paper
After obtaining an expanded set of high-level chunk labels, we assign them to each of the sentence chunks by using LLMs in a multiclass classification few-shot learning task, with the initial labels and assignment as examples (see prompt used in Appendix D.3).
sentence describing how analysis was performed on data collected by the authors of this paper
Then, we segment sentences within each aspect into grammarpreserving chunks (see prompt used in Appendix D.2). This results in grammatically coherent chunks that are the basis of structure patterns. After identifying chunk boundaries, we again prompt an LLM to generate labels for chunks in a human-in-the-loop approach: starting from an initial set of labels for chunk roles, when a new label is generated, a researcher from the research team examines the new label and merges it with existing labels if appropriate, controlling for the total number of labels.
sentence describing how analysis was performed on data collected by the authors of this paper
We process this data in a three-stage pipeline (Figure 6). In the first stage, Sentence Segmentation and Categorization, abstracts are split into individual sentences using the NLTK package, and each sentence is classified into one of the five pre-defined aspects as listed in Section 4.1.1. Classification is performed by prompting an LLM (see prompt used in Appendix D.1) with the sentence and its full abstract.
sentence describing how analysis was performed on data collected by the authors of this paper
After the interviews, we analyzed the data using the process described in Appendix B
sentence describing how analysis was performed on data collected by the authors of this paper
To analyze the annotation efficiency, we first conducted a Kruskal-Wallis rank sum test [39] to determine if there were statistically significant differences in annotation time across the three conditions, because our data violated the homogeneity of variances assumption, making non-parametric methods more appropriate.
return any single sentence that describes data analysis done on data collected by the authors when running human subjects experiments.
poses challenges for many classical methods, such as parametric statistical tests (for example, Student’s t-test and ANOVA) and measures of correlation, including Spearman’s rank correlation, often leading to completely unacceptable false discovery rates above 90%
“Oil and gas is a connected network of processes, people, and infrastructure,” Dalgliesh says. “We are working with a client now modeling saltwater disposal wells. If you turn a valve that decreases the flow in a pipeline, it has a downstream effect on the disposal well. Knowledge graphs built on Neo4j are the perfect abstraction layer to model relationships across this kind of complex network and were a much better fit for reView than triple stores.”
“Oil and gas is a connected network of processes, people, and infrastructure,” ... “We are working with a client now modeling saltwater disposal wells. If you turn a valve that decreases the flow in a pipeline, it has a downstream effect on the disposal well. Knowledge graphs built on Neo4j are the perfect abstraction layer to model relationships across this kind of complex network and were a much better fit for reView than triple stores.” [Jeff Dalgliesh], Chief Technology Officer at Data².
“Analysts need to be able to dissect exactly how the AI reached a particular conclusion or recommendation,” says Chief Business Officer Eric Costantini. “Neo4j enables us to enforce robust information security by applying access controls at the subgraph level.”
“Analysts need to be able to dissect exactly how the AI reached a particular conclusion or recommendation,” “Neo4j enables us to enforce robust information security by applying access controls at the subgraph level.” Chief Business Officer Eric Costantini.
an object-oriented approach to data modelling – where data is described in terms of classes, attributes, and associations
ReconfigBehSci. (2021, December 23). Risk of hospital stay 40% lower with Omicron than Delta, UK data suggests https://t.co/VupN8hY4qq [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1473916654421643266
Prof. Christina Pagel. (2021, December 23). UKHSA surveillance report shows reinfections rising sharply as Omicron takes hold https://t.co/UGArY4sbOA [Tweet]. @chrischirp. https://twitter.com/chrischirp/status/1474041921249189896
ReconfigBehSci. (2021, December 11). RT @DrEricDing: DOUBLING % in one day: The spike of probable #Omicron variant in Scotland🏴 has critically surged—Now at 13.3%, up fro… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1469596523222781954
John Burn-Murdoch. (2021, November 25). Five quick tweets on the new variant B.1.1.529 Caveat first: Data here is very preliminary, so everything could change. Nonetheless, better safe than sorry. 1) Based on the data we have, this variant is out-competing others far faster than Beta and even Delta did 🚩🚩 https://t.co/R2Ac4e4N6s [Tweet]. @jburnmurdoch. https://twitter.com/jburnmurdoch/status/1463956686075580421
CNN, I. K. (n.d.). Vaccine inequity and hesitancy made the Omicron variant more likely, scientists say. CNN. Retrieved December 23, 2021, from https://www.cnn.com/2021/11/28/world/omicron-coronavirus-variant-vaccine-inequity-intl-cmd/index.html
ReconfigBehSci. (2021, December 22). RT @chrischirp: Positivity rising steeply too—There are definitely many more people we aren’t catching https://t.co/4xDPwYQtrx [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1473695678610214927
ReconfigBehSci on Twitter: “RT @chrischirp: As well as Tom’s new one (B.1.1.529), C.1.2 seems to be spreading in S Africa—C.1.2 was the one with lots of worrying mut…” / Twitter. (n.d.). Retrieved December 23, 2021, from https://twitter.com/SciBeh/status/1463597407082532864
ReconfigBehSci. (2021, December 16). RT @MadsAlbertsen85: #Omicron update from Denmark. Omicron cases on the 12th of December adjusted up to 20.5% (+2%). Omicron is now having… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1471516083819462670
Trevor Bedford. (2021, December 11). We find that logistic growth of Omicron sequence fraction looks similar between the UK, the US and Germany with roughly 1% of sequenced cases in all three countries being Omicron on Dec 1. 3/10 https://t.co/De0t2xreU9 [Tweet]. @trvrb. https://twitter.com/trvrb/status/1469784757261127685
Prof. Shane Crotty. (2021, October 19). 1/ The regular vaccines give great booster responses against Delta and other variants This was first shown by Moderna, with “original recipe” vaccine booster, compare to Beta booster. Https://nature.com/articles/s41591-021-01527-y https://t.co/g7YDwGIURP [Tweet]. @profshanecrotty. https://twitter.com/profshanecrotty/status/1450489709050744833
Eric Topol. (2021, October 27). 'The benefit of a third [booster] dose in reducing transmission is sizeable and increases with vaccine coverage and contact rates among individuals." https://medrxiv.org/content/10.1101/2021.10.25.21265500v1 by @billygardner and @DiseaseEcology https://t.co/zAZcJgF1nJ [Tweet]. @EricTopol. https://twitter.com/EricTopol/status/1453153076165021696
Nerd, G. M.-K. H. (2022, February 25). The Jury is Still Out on Ivermectin. Medium. https://gidmk.medium.com/the-jury-is-still-out-on-ivermectin-7d0a1895549
ReconfigBehSci. (2021, November 27). RT @_HassanF: 📢 2 key 📑 resources, if you writing about us in Africa right now: Africa-Vaccine Data 2021: Https://mediahack.co.za/datastories/coronavirus/africa-covid19/africa-vaccinations/ @mediah… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1464683668631392257
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
Carl T. Bergstrom. (2021, August 18). 1. There has been lots of talk about recent data from Israel that seem to suggest a decline in vaccine efficacy against severe disease due to Delta, waning protection, or both. This may have even been a motivation for Biden’s announcement that the US would be adopting boosters. [Tweet]. @CT_Bergstrom. https://twitter.com/CT_Bergstrom/status/1427767356600688646
Dr Ellie Murray, ScD. (2021, July 6). Also, see👇🏼 [Tweet]. @EpiEllie. https://twitter.com/EpiEllie/status/1412249702460968967
Trevor Bedford. (2022, January 10). Given ~680k cases per day, this would in turn suggest 0.8% or 1% of the US being infected with SARS-CoV-2 every day. This would translate to perhaps 5% or 10% of individuals currently infected with SARS-CoV-2 in the US. 15/15 [Tweet]. @trvrb. https://twitter.com/trvrb/status/1480610448563060738
Mauritsen, Anne Lundahl, Theiss Bendixen, and Henrik Reintoft Christensen. ‘Does a Pandemic Increase Religiosity in a Secular Nation? A Longitudinal Examination’. PsyArXiv, 18 February 2022. https://doi.org/10.31234/osf.io/qsgej.
ReconfigBehSci. (2022, February 2). RT @AndreasShrugged: Meta-shmeta analysis. They claim they find that lockdowns reduced mortality in Europe and U.S. only by 0.2%. After bro… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1489499513219911686
Tom Moultrie on Twitter. (n.d.). Twitter. Retrieved February 13, 2022, from https://twitter.com/tomtom_m/status/1472561128240824324
American Medical Association (AMA). (2021, December 6). Peter Hotez, MD, PhD, on the omicron variant and Delta winter surge | COVID-19 Update for Dec. 6, 20. https://www.youtube.com/watch?v=WnfpC1_N2Mg
Peter R. Hansen. (2022, February 3). Weighting, is the answer. The only study to find lockdowns ⬆️mortality is given weight 91.8% = 7390/8030, and then you get -0.2% to be the estimate. To summarize: -0.2% META-STUDY ESTIMATE is based on 91.8% ONE STUDY and 8.2% ALL OTHER STUDIES. https://t.co/j6e7ziPNAI [Tweet]. @ProfPHansen. https://twitter.com/ProfPHansen/status/1489366528956919808
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
Bansal, B. (2021). Rapid COVID-19 Test: Investigating the Willingness to Take a Rapid Test Based on Multiple Factors. PsyArXiv. https://doi.org/10.31234/osf.io/j3t76
Eric Topol. (2021, October 27). 'The benefit of a third [booster] dose in reducing transmission is sizeable and increases with vaccine coverage and contact rates among individuals." https://medrxiv.org/content/10.1101/2021.10.25.21265500v1 by @billygardner and @DiseaseEcology https://t.co/zAZcJgF1nJ [Tweet]. @EricTopol. https://twitter.com/EricTopol/status/1453153076165021696
A Marm Kilpatrick. (2021, November 24). How do we get broad immunity to SARS-CoV-2 that will protect against future variants? 2 studies (are there more?) suggest that vaccination followed by infection gives broader protection than infection followed by vaccination. @florian_krammer @profshanecrotty @GuptaR_lab https://t.co/rqdf6rE9ej [Tweet]. @DiseaseEcology. https://twitter.com/DiseaseEcology/status/1463391782742335491
Travelling Tabby. (2021, December 20). Https://travellingtabby.com/scotland-coronavirus-tracker/ There were over 6,700 new cases reported today, which is one of the highest days we’ve had. And a positivity rate of over 15% too, which is the joint highest we’ve had since reporting began. #covid19scotland #coronavirusscotland #DailyCovidUpdate https://t.co/ZvrVGc2J3I [Tweet]. @TravellingTabby. https://twitter.com/TravellingTabby/status/1472952525544255489
New Study Finds Vaccine Dose Timing Reduces Risk of Long-COVID in Unvaccinated Patients. (2021, December 15). Arcadia.Io. https://arcadia.io/press-release-vaccine-dose-timing-reduces-long-covid-risk/
Eric Topol. (2021, December 14). Graph of Pfizer 3rd shot (booster) vs Omicron symptomatic infection, restoring to 75% protection, significantly less compared to its effect vs Delta (95%) with 95% CI, @UKHSA data, vs unvaccinated https://ft.com/content/8a6a0ec8-fd07-49cd-a3f5-386a06269a5c by @hannahkuchler @donatopmancini @mroliverbarnes https://t.co/PHMDZGIgDj [Tweet]. @EricTopol. https://twitter.com/EricTopol/status/1470744717398720513
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
ReconfigBehSci. (2021, December 13). RT @peterdodds: Excess deaths are now above 900,000 in the US. Conservative estimate as reporting takes weeks to fill in: Https://cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1470436197935763456
Tom Moultrie. (2021, December 12). Given the comedic misinterpretation of the South African testing data offered by @BallouxFrancois (and many others!) last night ... I offer some tips having contributed to the analysis of the testing data for the @nicd_sa since April last year. (1/6) [Tweet]. @tomtom_m. https://twitter.com/tomtom_m/status/1469954015932915718
Max Roser. (2021, December 11). The number of confirmed COVID cases is rising in all of Southern Africa. Https://t.co/3hP7f3zoqt [Tweet]. @MaxCRoser. https://twitter.com/MaxCRoser/status/1469634777078710274
Wood, D., & Brumfiel, G. (2021, December 5). Pro-Trump counties now have far higher COVID death rates. Misinformation is to blame. NPR. https://www.npr.org/sections/health-shots/2021/12/05/1059828993/data-vaccine-misinformation-trump-counties-covid-death-rate
Lindiwe Mazibuko. (2021, November 27). When literally every country “banning” you has a higher infection rate 🙄 https://t.co/NZMuf9Pfx5 [Tweet]. @LindiMazibuko. https://twitter.com/LindiMazibuko/status/1464539078611939333
News, B. N. O. (2021, November 26). Tracking COVID-19 variant Omicron. BNO News. https://bnonews.com/index.php/2021/11/omicron-tracker/
Art Poon. (2021, November 28). Our first https://filogeneti.ca/CoVizu update with B.1.1.529. As expected, number of mutations is well over molecular clock prediction (~13 diffs). Relatively low numbers of identical genomes implies large number of unsampled infections. We update every two days from GISAID. https://t.co/m8w2CjL1c0 [Tweet]. @art_poon. https://twitter.com/art_poon/status/1465001066194481162
Eric Feigl-Ding. (2021, December 2). A rise in possible #Omicron in England—Tripling (0.1 to 0.3) of S-Gene dropout PCR signal, which is a proxy for Omicron (before 🧬 sequencing confirms). @_nickdavies estimates this represents around ~60 cases in 🏴. Still early—But it displacing #DeltaVariant is not good sign. 🧵 https://t.co/4aIiqiVsqH [Tweet]. @DrEricDing. https://twitter.com/DrEricDing/status/1466234026843205637
gianluca c 🏴☠️🇻🇪 #TeamFauci #MaskUp #no GBD. (2021, November 29). Gauteng just updated 47 week and its shit https://t.co/yu5aLzwoJE [Tweet]. @gianlucac1. https://twitter.com/gianlucac1/status/1465300644336738308
Grimmer & Stewart (2013) - Text as Data: The Promise and Pitfalls of Automatic ContentAnalysis Methods for Political Texts
BNO Newsroom. (2021, November 26). South Africa reports 2,828 new coronavirus cases, an increase of 258% from last week, with a positivity rate of 9.1% [Tweet]. @BNODesk. https://twitter.com/BNODesk/status/1464280278197846025
Wise, J. (2021). Headlines play down the gravity of covid-19 in children. BMJ, 375, n2826. https://doi.org/10.1136/bmj.n2826
Prof. Christina Pagel. (2021, November 24). Meanwhile AY.4.2 (Delta grandchild) continues its very slow path to English dominance. Makes life a bit harder by being a bit more transmissible but luckily doesn’t seem any worse than Delta in any other respect. Https://t.co/kB0V0Z66GT [Tweet]. @chrischirp. https://twitter.com/chrischirp/status/1463508172941967365
Charles #GetCovered-ba 🩺. (2021, November 13). America 2021 in one image. Https://t.co/SuTCkCp2Pm [Tweet]. @charles_gaba. https://twitter.com/charles_gaba/status/1459565881214836743
European Commission 🇪🇺. (2021, November 23). Data shows us that the higher the vaccination rate, the lower the death rate. #COVID19 #VaccinesWork https://t.co/mORrrQOPsj [Tweet]. @EU_Commission. https://twitter.com/EU_Commission/status/1463119478099693571
Jeffrey Barrett. (2021, October 19). Proportion of AY.4.2 (now on http://covid19.sanger.ac.uk) has been steadily increasing in England, which is a pattern that is quite different from other AY lineages. Several of them rose when there was still Alpha to displace, but none has had a consistent advantage vs other Delta. Https://t.co/mD5gQzKxgV [Tweet]. @jcbarret. https://twitter.com/jcbarret/status/1450408485829718039
Smith, C., Odd, D., Harwood, R., Ward, J., Linney, M., Clark, M., Hargreaves, D., Ladhani, S. N., Draper, E., Davis, P. J., Kenny, S. E., Whittaker, E., Luyt, K., Viner, R., & Fraser, L. K. (2021). Deaths in children and young people in England after SARS-CoV-2 infection during the first pandemic year. Nature Medicine, 1–8. https://doi.org/10.1038/s41591-021-01578-1
Schreiber, M. (2021, October 16). US throws out millions of doses of Covid vaccine as world goes wanting. The Guardian. https://www.theguardian.com/world/2021/oct/16/us-throws-out-millions-doses-covid-vaccine-world-shortages
BK Titanji #ILookLikeAScientist. (2021, November 2). I simply can’t get over this graph @FT https://t.co/Uozp7yBs9n [Tweet]. @Boghuma. https://twitter.com/Boghuma/status/1455493059534376963
Kovacs, M., Hoekstra, R., & Aczel, B. (2021). The Role of Human Fallibility in Psychological Research: A Survey of Mistakes in Data Management. Advances in Methods and Practices in Psychological Science, 4(4), 25152459211045930. https://doi.org/10.1177/25152459211045930
Henk-Jan Westeneng on Twitter. (n.d.). Twitter. Retrieved November 2, 2021, from https://twitter.com/HJWesteneng/status/1455304431038308352 i
Hulme, W. J., Williamson, E. J., Green, A., Bhaskaran, K., McDonald, H. I., Rentsch, C. T., Schultze, A., Tazare, J., Curtis, H. J., Walker, A. J., Tomlinson, L., Palmer, T., Horne, E., MacKenna, B., Morton, C. E., Mehrkar, A., Fisher, L., Bacon, S., Evans, D., … Goldacre, B. (2021). Comparative effectiveness of ChAdOx1 versus BNT162b2 COVID-19 vaccines in Health and Social Care workers in England: A cohort study using OpenSAFELY [Preprint]. Epidemiology. https://doi.org/10.1101/2021.10.13.21264937
How online misinformation spreads. (n.d.). Retrieved October 19, 2021, from https://knowablemagazine.org/article/society/2021/how-online-misinformation-spreads
China’s ‘zero Covid’ vs Singapore’s ‘living with it’: Rapid low-cost testing could mean we don’t need to choose | South China Morning Post. (n.d.). Retrieved October 15, 2021, from https://www.scmp.com/comment/opinion/article/3152167/chinas-zero-covid-vs-singapores-living-it-rapid-low-cost-testing
Iacobucci, G. (2021). Covid and flu: What do the numbers tell us about morbidity and deaths? BMJ, n2514. https://doi.org/10.1136/bmj.n2514
John Roberts on Twitter: “154k booster 💉reported today in 🏴, bringing the total to 1.58m, out of 4.56m. So that’s another 3m eligible for a jab as soon as they can be scheduled in. 1/ https://t.co/tw1JmrOiUo” / Twitter. (n.d.). Retrieved October 15, 2021, from https://twitter.com/john_actuary/status/1445785517774176262
Covid and Age—The New York Times. (n.d.). Retrieved October 15, 2021, from https://www.nytimes.com/2021/10/12/briefing/covid-age-risk-infection-vaccine.html
Covid booster shots important to stop infection, finds English study | Coronavirus | The Guardian. (n.d.). Retrieved October 14, 2021, from https://www.theguardian.com/world/2021/oct/14/covid-booster-shots-important-to-stop-infection-finds-english-study
Gurdasani, Deepti. ‘Vaccinating Adolescents in England: A Risk-Benefit Analysis’. OSF Preprints, 4 August 2021. https://doi.org/10.31219/osf.io/grzma.
Study: Myocarditis risk 37 times higher for children with COVID-19 than uninfected peers | American Academy of Pediatrics. (n.d.). Retrieved October 10, 2021, from https://www.aappublications.org/news/2021/08/31/covid-myocarditis-risk-children-083121
Shih, S.-F., Wagner, A. L., Masters, N. B., Prosser, L. A., Lu, Y., & Zikmund-Fisher, B. J. (2021). Vaccine Hesitancy and Rejection of a Vaccine for the Novel Coronavirus in the United States. Frontiers in Immunology, 12, 558270. https://doi.org/10.3389/fimmu.2021.558270
The difficulties of estimating long Covid | David Spiegelhalter and Anthony Masters | The Guardian. (n.d.). Retrieved September 28, 2021, from https://www.theguardian.com/theobserver/commentisfree/2021/sep/26/the-difficulties-of-estimating-long-covid
Sam Wang on Twitter: “These are risk levels that you pose to other people. They’re compared with you as—A nonsmoker—A sober driver—A vaccinated person. Unvaccinated? 5x as likely to get sick, for 3x as long. Total risk to others? 15x a vaccinated person Details:https://t.co/ckTWaivK8n https://t.co/PhpLvX2dsm” / Twitter. (n.d.). Retrieved September 19, 2021, from https://twitter.com/SamWangPhD/status/1438361144759132167
Jonathan Robinson on Twitter. (n.d.). Twitter. Retrieved 6 September 2021, from https://twitter.com/jon_m_rob/status/1431734411335176199
Jeremy Howard. (2021, August 29). I’ve been analyzing the UK covid data and I’ve just discovered something shocking. Cases in chidrens in England have just smashed all-time highs. Nearly double what they’ve ever been before. And rising VERY rapidly. Schools are about to reopen. With far fewer restrictions. Https://t.co/rNhW4U98BR [Tweet]. @jeremyphoward. https://twitter.com/jeremyphoward/status/1432118975060594691
Kraemer, M. U. G., Hill, V., Ruis, C., Dellicour, S., Bajaj, S., McCrone, J. T., Baele, G., Parag, K. V., Battle, A. L., Gutierrez, B., Jackson, B., Colquhoun, R., O’Toole, Á., Klein, B., Vespignani, A., COVID-19 Genomics UK (COG-UK) Consortium‡, Volz, E., Faria, N. R., Aanensen, D. M., … Pybus, O. G. (2021). Spatiotemporal invasion dynamics of SARS-CoV-2 lineage B.1.1.7 emergence. Science, 373(6557), 889–895. https://doi.org/10.1126/science.abj0113
Rogers, J. P., Watson, C. J., Badenoch, J., Cross, B., Butler, M., Song, J., Hafeez, D., Morrin, H., Rengasamy, E. R., Thomas, L., Ralovska, S., Smakowski, A., Sundaram, R. D., Hunt, C. K., Lim, M. F., Aniwattanapong, D., Singh, V., Hussain, Z., Chakraborty, S., … Rooney, A. G. (2021). Neurology and neuropsychiatry of COVID-19: A systematic review and meta-analysis of the early literature reveals frequent CNS manifestations and key emerging narratives. Journal of Neurology, Neurosurgery & Psychiatry, jnnp-2021-326405. https://doi.org/10.1136/jnnp-2021-326405
Prof. Christina Pagel on Twitter: “THREAD latest on B.1.617.2 variant in England: B.1.617.2 (1st discovered in India) is now dominant in England. Here is a thread summarising latest PHE report and Sanger local data. TLDR: it is NOT good news. 1/7” / Twitter. (n.d.). Retrieved August 24, 2021, from https://twitter.com/chrischirp/status/1399333330286415876
Inside America’s Covid-reporting breakdown—POLITICO. (n.d.). Retrieved August 23, 2021, from https://www.politico.com/news/2021/08/15/inside-americas-covid-data-gap-502565
Are 7 French fries too many?. A causal inference explainer | by Ellie Murray | Medium. (n.d.). Retrieved August 22, 2021, from https://medium.com/@EpiEllie/are-7-french-fries-too-many-d6226e78dc1f
These Israeli COVID-19 graphs prove Pfizer vaccine works—Israel News—Haaretz.com. (n.d.). Retrieved August 17, 2021, from https://www.haaretz.com/israel-news/israel-covid-graphs-prove-vaccines-works-delta-pfizer-1.10101640
We shouldn’t be giving Covid boosters while millions wait for a first dose | Andrew Pollard and Seth Berkley | The Guardian. (n.d.). Retrieved August 17, 2021, from https://www.theguardian.com/commentisfree/2021/aug/13/covid-boosters-dose-vaccine
Breakthrough cases aren’t the cause of the US Covid-19 surge—Vox. (n.d.). Retrieved August 11, 2021, from https://www.vox.com/22602039/breakthrough-cases-covid-19-delta-variant-masks-vaccines
John Thornhill on Twitter: “Good news: Vaccine hesitancy collapses Smart data analysis from @TheEconomist https://t.co/cQcajRtEM6 https://t.co/IWIbUsEFXG” / Twitter. (n.d.). Retrieved August 1, 2021, from https://twitter.com/johnthornhillft/status/1418510295241269248
Trisha Greenhalgh on Twitter: “LONG THREAD on masks. Mute if not interested. Do masks work? Why do some people claim they don’t work? Do they cause harm? What kinds of masks should we wear? How does masking need to change now we know that Covid is airborne? When can we stop wearing them? Get your popcorn. 1/” / Twitter. (n.d.). Retrieved August 1, 2021, from https://twitter.com/trishgreenhalgh/status/1414294003479089154
Why are fully vaccinated people testing positive for Covid? | Financial Times. (n.d.). Retrieved July 28, 2021, from https://www.ft.com/content/0f11b219-0f1b-420e-8188-6651d1e749ff
What is behind the latest fall in cases of Covid across the UK? | Coronavirus | The Guardian. (n.d.). Retrieved July 27, 2021, from https://www.theguardian.com/world/2021/jul/26/what-is-behind-the-latest-fall-in-cases-of-covid-across-the-uk
Leah Keating on Twitter: “This work with @DavidJPOS and @gleesonj is now on arXiv (https://t.co/hxjZnCmKcM): ‘A multi-type branching process method for modelling complex contagion on clustered networks’ Here is a quick overview of our paper: (1/6) https://t.co/3jQ2flhk71” / Twitter. (n.d.). Retrieved July 23, 2021, from https://twitter.com/leahakeating/status/1418150117106978816
Adam Kucharski on Twitter: “Useful data 👇– quick look suggests odds ratio for detection of B.1.617.2 relative to non-B.1.617.2 in vaccinated group compared to controls is 2.7 (95% CI: 0.7-10) after one dose and 1.2 (0.4-3.6) after two...” / Twitter. (n.d.). Retrieved July 2, 2021, from https://twitter.com/AdamJKucharski/status/1400443351908892675?s=20
See how age and illnesses change the risk of dying from covid-19 | The Economist. (n.d.). Retrieved June 29, 2021, from https://www.economist.com/graphic-detail/covid-pandemic-mortality-risk-estimator
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
Here’s how effective COVID-19 vaccines have been in Alberta | CTV News. (n.d.). Retrieved June 26, 2021, from https://edmonton.ctvnews.ca/here-s-how-effective-covid-19-vaccines-have-been-in-alberta-1.5456656
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
Long Covid: Snapshot poll finds more than 1m people with symptoms in UK | Long Covid | The Guardian. (n.d.). Retrieved June 26, 2021, from https://www.theguardian.com/society/2021/apr/01/long-covid-snapshot-poll-finds-million-people-symptoms-uk?CMP=Share_iOSApp_Other
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
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
Darren Dahly on Twitter. (n.d.). Twitter. Retrieved 1 May 2021, from https://twitter.com/statsepi/status/1385127211699691520
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/
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
Benjy Renton on Twitter: “For those who are wondering: There is a slight association (r = 0.34) between the percentage a county voted for Trump in 2020 and estimated hesitancy levels. As @JReinerMD mentioned, GOP state, county and local levels need to do their part to promote vaccination. Https://t.co/ZY2lUqHgLd” / Twitter. (n.d.). Retrieved April 28, 2021, from https://twitter.com/bhrenton/status/1382330404586274817
(20) Carolyn Barber, MD on Twitter: ‘@VincentRK Thank you. Very helpful. Retweeting this which lines up with your UK data. Https://t.co/ECNaGuqiaB’ / Twitter. (n.d.). Retrieved 24 April 2021, from https://twitter.com/cbarbermd/status/1381407627884695556
Yang, K.-C., Pierri, F., Hui, P.-M., Axelrod, D., Torres-Lugo, C., Bryden, J., & Menczer, F. (2020). The COVID-19 Infodemic: Twitter versus Facebook. ArXiv:2012.09353 [Cs]. http://arxiv.org/abs/2012.09353
Taquet, M. (2021, April 15). COVID-19 and cerebral venous thrombosis: a retrospective cohort study of 513,284 confirmed COVID-19 cases. https://doi.org/10.17605/OSF.IO/H2MT7
More transmissible and evasive SARS-CoV-2 variant growing rapidly in Brazil | Imperial News | Imperial College London. (n.d.). Imperial News. Retrieved 18 April 2021, from https://www.imperial.ac.uk/news/216053/more-transmissible-evasive-sarscov2-variant-growing/
Jeremy Faust MD MS (ER physician) on Twitter: “Let’s talk about the background risk of CVST (cerebral venous sinus thrombosis) versus in those who got J&J vaccine. We are going to focus in on women ages 20-50. We are going to compare the same time period and the same disease (CVST). DEEP DIVE🧵 KEY NUMBERS!” / Twitter. (n.d.). Retrieved April 15, 2021, from https://twitter.com/jeremyfaust/status/1382536833863651330
The insertion of an algorithm’s predictions into the patient-physician relationship also introduces a third party, turning the relationship into one between the patient and the health care system. It also means significant changes in terms of a patient’s expectation of confidentiality. “Once machine-learning-based decision support is integrated into clinical care, withholding information from electronic records will become increasingly difficult, since patients whose data aren’t recorded can’t benefit from machine-learning analyses,” the authors wrote.
There is some work being done on federated learning, where the algorithm works on decentralised data that stays in place with the patient and the ML model is brought to the patient so that their data remains private.
Ioannidis, John P. A. (2020) ‘The Infection Fatality Rate of COVID-19 Inferred from Seroprevalence Data’. MedRxiv. https://doi.org/10.1101/2020.05.13.20101253.
Carl T. Bergstrom on Twitter. (n.d.). Twitter. Retrieved 19 February 2021, from https://twitter.com/CT_Bergstrom/status/1357799981977985025
Ashish K. Jha, MD, MPH. (2020, December 12). Michigan vs. Ohio State Football today postponed due to COVID But a comparison of MI vs OH on COVID is useful Why? While vaccines are coming, we have 6-8 hard weeks ahead And the big question is—Can we do anything to save lives? Lets look at MI, OH for insights Thread [Tweet]. @ashishkjha. https://twitter.com/ashishkjha/status/1337786831065264128
Gupta, Prateek, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, et al. ‘COVI-AgentSim: An Agent-Based Model for Evaluating Methods of Digital Contact Tracing’. ArXiv:2010.16004 [Cs], 29 October 2020. http://arxiv.org/abs/2010.16004.
Cailin O’Connor. (2020, November 10). New paper!!! @psmaldino look at what causes the persistence of poor methods in science, even when better methods are available. And we argue that interdisciplinary contact can lead better methods to spread. 1 https://t.co/C5beJA5gMi [Tweet]. @cailinmeister. https://twitter.com/cailinmeister/status/1326221893372833793
ReconfigBehSci. (2020, November 23). RT @lakens: Ongoing, an incredibly awesome talk on computational reproducibility by @AdinaKrik. Slides: Https://t.co/QslHW3gEtm. If you are… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1331265422109396995
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
Confounding vs. Effect modification – The Stats Geek. (n.d.). Retrieved February 27, 2021, from https://thestatsgeek.com/2021/01/13/confounding-vs-effect-modification/
Chwalisz, C. (2021). The pandemic has pushed citizen panels online. Nature, 589(7841), 171–171. https://doi.org/10.1038/d41586-021-00046-7
ReconfigBehSci. (2020, December 6). RT @statsepi: Lol ok. Https://t.co/eCPpU3Linv [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1335894181248643073
Lakens, D. (2021). Sample Size Justification. PsyArXiv. https://doi.org/10.31234/osf.io/9d3yf
A fairly comprehensive list of problems and limitations that are often encountered with data as well as suggestions about who should be responsible for fixing them (from a journalistic perspective).
Benford’s Law is a theory which states that small digits (1, 2, 3) appear at the beginning of numbers much more frequently than large digits (7, 8, 9). In theory Benford’s Law can be used to detect anomalies in accounting practices or election results, though in practice it can easily be misapplied. If you suspect a dataset has been created or modified to deceive, Benford’s Law is an excellent first test, but you should always verify your results with an expert before concluding your data has been manipulated.
This is a relatively good explanation of Benford's law.
I've come across the theory in advanced math, but I'm forgetting where I saw the proof. p-adic analysis perhaps? Look this up.
Cytoscape is an open source software platform for visualizing complex networks and integrating these with any type of attribute data. A lot of Apps are available for various kinds of problem domains, including bioinformatics, social network analysis, and semantic web.
Spadaro, G., Tiddi, I., Columbus, S., Jin, S., Teije, A. t., & Balliet, D. (2020, October 28). The Cooperation Databank. https://doi.org/10.31234/osf.io/rveh3
Data analysis, and the parts of statistics which adhere to it, must…take on the characteristics of science rather than those of mathematics…
Is data analysis included in data science? If not, what is the relationship between them?
Corral. A., (2020). Scientific comment on "Tail risk of contagious diseases" Cornell University Physics and Society. Retrieved from: https://arxiv.org/abs/2007.06876
flow cytometry data were analyzed in R using the flowCore Bioconductor package (
2020 Conference on Computational Sociology | IRiSS. (n.d.). Retrieved 30 September 2020, from https://iriss.stanford.edu/css/conferences/2020-conference-computational-sociology
COVID-19 reports. (n.d.). Imperial College London. Retrieved September 17, 2020, from http://www.imperial.ac.uk/medicine/departments/school-public-health/infectious-disease-epidemiology/mrc-global-infectious-disease-analysis/covid-19/covid-19-reports/
Moreau, D., & Gamble, B. (2020). Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations. Psychological Methods, No Pagination Specified-No Pagination Specified. https://doi.org/10.1037/met0000351
Max Primbs on Twitter. (n.d.). Twitter. Retrieved September 14, 2020, from https://twitter.com/MaxPrimbs/status/1304516869509066760
Rajkumar, R. P. (2020). Novel Coronavirus Disease (COVID-19) and Suicide: Conceptual and Practical Considerations [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/z7drs
aaronpeikert. (2020). Aaronpeikert/reproducible-research [TeX]. https://github.com/aaronpeikert/reproducible-research (Original work published 2019)
Sixth Report. (2020, June 19). COVID-19 Mobility Monitoring Project. https://covid19mm.github.io//in-progress/2020/06/19/sixth-report.html
Ali, A. (2020, August 28). Visualizing the Social Media Universe in 2020. Visual Capitalist. https://www.visualcapitalist.com/visualizing-the-social-media-universe-in-2020/
Chaudhry, R., Dranitsaris, G., Mubashir, T., Bartoszko, J., & Riazi, S. (2020). A country level analysis measuring the impact of government actions, country preparedness and socioeconomic factors on COVID-19 mortality and related health outcomes. EClinicalMedicine, 0(0). https://doi.org/10.1016/j.eclinm.2020.100464
Embracing the slowdown. (n.d.). Retrieved August 30, 2020, from https://marketing.twitter.com/emea/en_gb/insights/embracing-the-slowdown
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
Starnini, M., Aleta, A., Tizzoni, M., & Moreno, Y. (2020). Impact of the accuracy of case-based surveillance data on the estimation of time-varying reproduction numbers. MedRxiv, 2020.06.26.20140871. https://doi.org/10.1101/2020.06.26.20140871
Moreau, D., & Gamble, B. (2020). Conducting a Meta-Analysis in the Age of Open Science: Tools, Tips, and Practical Recommendations [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/t5dwg
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
Benitez, J. A., Courtemanche, C. J., & Yelowitz, A. (2020). Racial and Ethnic Disparities in COVID-19: Evidence from Six Large Cities (Working Paper No. 27592; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27592
Koren, M. (2020, April 2). The Pandemic Is Turning the Natural World Upside Down. The Atlantic. https://www.theatlantic.com/science/archive/2020/04/coronavirus-pandemic-earth-pollution-noise/609316/
Sajadi, M. M., Habibzadeh, P., Vintzileos, A., Shokouhi, S., Miralles-Wilhelm, F., & Amoroso, A. (2020). Temperature, Humidity and Latitude Analysis to Predict Potential Spread and Seasonality for COVID-19 (SSRN Scholarly Paper ID 3550308). Social Science Research Network. https://doi.org/10.2139/ssrn.3550308
Speelman, C., & McGann, M. (2020). Statements about the Pervasiveness of Behaviour Require Data about the Pervasiveness of Behaviour [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/bxzm4
Young, J.-G., Cantwell, G. T., & Newman, M. E. J. (2020). Robust Bayesian inference of network structure from unreliable data. ArXiv:2008.03334 [Physics, Stat]. http://arxiv.org/abs/2008.03334
COVID Recovery Dashboard. Retrieved from https://goodjudgment.io/covid-recovery/#1363 on 12/08/2020
Harris, J. E. (2020). Reopening Under COVID-19: What to Watch For (Working Paper No. 27166; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27166
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 27, 2020, from https://covid-19.iza.org/publications/dp13516/
Aleta, A., Arruda, G. F. de, & Moreno, Y. (2020). Data-driven contact structures: From homogeneous mixing to multilayer networks. PLOS Computational Biology, 16(7), e1008035. https://doi.org/10.1371/journal.pcbi.1008035
COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved 31 July 2020, from https://covid-19.iza.org/publications/dp13388/
Friedson, A. I., McNichols, D., Sabia, J. J., & Dave, D. (2020). Did California’s Shelter-in-Place Order Work? Early Coronavirus-Related Public Health Effects (Working Paper No. 26992; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26992
Cotti, C. D., Engelhardt, B., Foster, J., Nesson, E. T., & Niekamp, P. S. (2020). The Relationship between In-Person Voting and COVID-19: Evidence from the Wisconsin Primary (Working Paper No. 27187; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27187
Dave, D. M., Friedson, A. I., Matsuzawa, K., & Sabia, J. J. (2020). When Do Shelter-in-Place Orders Fight COVID-19 Best? Policy Heterogeneity Across States and Adoption Time (Working Paper No. 27091; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27091
Litman. L,. Hartman. R., Jaffe. S., Robinson. J. (2020) County-level recruitment in online samples: Applications to COVID-19 and beyond. PsyArXiv Preprints. Retrieved from: https://psyarxiv.com/g3xw7/
MCLS Virtual Brown Bag June 12, 2020: Bayesian Modelling. (2020, June 15). https://www.youtube.com/watch?v=7LLZPNLhn5o
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
Kubinec, R., & Carvalho, L. (2020). A Retrospective Bayesian Model for Measuring Covariate Effects on Observed COVID-19 Test and Case Counts [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/jp4wk
COVID-19 Social Science Tracker - Google Sheets
Dr. Maarten van Smeden (2020, May 11). Understanding the statistics of the coronavirus. Universiteit Utrecht. https://www.sg.uu.nl/video/2020/06/understanding-statistics-coronavirus
Data Intersections 2020 | Heather Krause. (2020, February 21). How not to use data like a racist. https://www.youtube.com/watch?v=EGO7yevPHDk
Payne, J. L., & Morgan, A. (2020). COVID-19 and Violent Crime: A comparison of recorded offence rates and dynamic forecasts (ARIMA) for March 2020 in Queensland, Australia [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/g4kh7
Rice, W. L., Mateer, T., Taff, B. D., Lawhon, B., Reigner, N., & Newman, P. (2020). The COVID-19 pandemic continues to change the way people recreate outdoors: A second preliminary report on a national survey of outdoor enthusiasts amid the COVID-19 pandemic. https://doi.org/10.31235/osf.io/dghba
Payne, J. L., & Morgan, A. (2020). Property Crime during the COVID-19 Pandemic: A comparison of recorded offence rates and dynamic forecasts (ARIMA) for March 2020 in Queensland, Australia [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/de9nc
Gleeson, J. P., Onaga, T., Fennell, P., Cotter, J., Burke, R., & O’Sullivan, D. J. P. (2020). Branching process descriptions of information cascades on Twitter. ArXiv:2007.08916 [Physics]. http://arxiv.org/abs/2007.08916
How scientists know COVID-19 is way deadlier than the flu. (2020, July 2). Science. https://www.nationalgeographic.com/science/2020/07/coronavirus-deadlier-than-many-believed-infection-fatality-rate-cvd/
Ed Conway on Twitter: “Breaking: UK government was routinely overstating the total number of people who’d been tested for #COVID19 by as many as 200,000 at the height of the coronavirus pandemic, according to new Sky News analysis.” / Twitter. (n.d.). Twitter. Retrieved July 17, 2020, from https://twitter.com/EdConwaySky/status/1281652670000844800
Q&A: Modelling COVID-19. (n.d.). Retrieved June 25, 2020, from https://www.youtube.com/watch?v=HUKC8Wq2a0k
Brooks, H. Z., Kanjanasaratool, U., Kureh, Y. H., & Porter, M. A. (2020). Disease Detectives: Using Mathematics to Forecast the Spread of Infectious Diseases [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/mvn9z
Lyttelton, T., Zang, E., & Musick, K. (2020). Gender Differences in Telecommuting and Implications for Inequality at Home and Work. https://doi.org/10.31235/osf.io/tdf8c
Introducing JASP 0.13. (2020, July 2). JASP - Free and User-Friendly Statistical Software. https://jasp-stats.org/?p=6483
An analyst’s job is never done – GSS. (n.d.). Retrieved July 3, 2020, from https://gss.civilservice.gov.uk/blog/an-analysts-job-is-never-done/
Rahman, M., Ali, G. G. M. N., Li, X. J., Paul, K. C., & Chong, P. H. J. (2020). Twitter and Census Data Analytics to Explore Socioeconomic Factors for Post-COVID-19 Reopening Sentiment [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/fz4ry
Parsons, Sam. ‘Reliability Multiverse’, 26 June 2020. https://doi.org/10.31234/osf.io/y6tcz.
Register here: (n.d.). Google Docs. Retrieved May 5, 2020, from https://docs.google.com/forms/d/e/1FAIpQLSdqXWlf0sbRR9wSH_42shm4vU4tHcCe0bQZuC-6ngHaI4I32w/viewform??embedded=true&usp=embed_facebook
Cheung, M. W.-L. (2020). Meta-Analytic Structural Equation Modeling [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/epsqt
Using LinkedIn for Social Research. (2019, July 9). Impact of Social Sciences. https://blogs.lse.ac.uk/impactofsocialsciences/2019/07/09/using-linkedin-for-social-research/
Giles, C., & Burn-Murdoch, J. (2020, May 28). UK suffers second-highest death rate from coronavirus | Free to read. https://www.ft.com/content/6b4c784e-c259-4ca4-9a82-648ffde71bf0
Gleam Project | COVID-19 Mobility USA
COVID-19 Regional Safety Assessment | DKG. (n.d.). DKV. Retrieved June 17, 2020, from https://www.dkv.global/covid-safety-assessment-200-regions
Zelner, J., Riou, J., Etzioni, R., & Gelman, A. (2020). Accounting for Uncertainty During a Pandemic. ArXiv:2006.08745 [Physics, q-Bio, Stat]. http://arxiv.org/abs/2006.08745
Views, R. (2020, May 20). An R View into Epidemiology. /2020/05/20/some-r-resources-for-epidemiology/
Chu, D. K., Akl, E. A., Duda, S., Solo, K., Yaacoub, S., Schünemann, H. J., Chu, D. K., Akl, E. A., El-harakeh, A., Bognanni, A., Lotfi, T., Loeb, M., Hajizadeh, A., Bak, A., Izcovich, A., Cuello-Garcia, C. A., Chen, C., Harris, D. J., Borowiack, E., … Schünemann, H. J. (2020). Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: A systematic review and meta-analysis. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)31142-9
Ridley, M. (n.d.). Could the key to Covid be found in the Russian pandemic? Retrieved June 11, 2020, from http://www.rationaloptimist.com/blog/covid-and-the-russian-pandemic/
Meylan, P. (2020, March 24). The Most Credible Journalists on COVID-19. The Factual. https://blog.thefactual.com/credible-journalists-covid-19
Retrieved June 10, 2020 from https://statmodeling.stat.columbia.edu/2020/05/12/2-perspectives-on-the-relevance-of-social-science-to-our-current-predicament-1-social-scientists-should-back-off-or-2-social-science-has-a-lot-to-offer/
Cinelli, M., Morales, G. D. F., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2020). Echo Chambers on Social Media: A comparative analysis. ArXiv:2004.09603 [Physics]. http://arxiv.org/abs/2004.09603