- Jun 2020
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psyarxiv.com psyarxiv.com
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Antonakis, J., Bastardoz, N., & Jacquart, P. (2020). In praise of the impact factor [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/h4p9e
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n this project we see a shift from a citizen-based model to a consumer model for urban planning, where all citizens’ ‘personal and environmental data is an economic resource.’
Called survillance capitlism
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reutersinstitute.politics.ox.ac.uk reutersinstitute.politics.ox.ac.uk
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Newman, N. (n.d.). Reuters Institute Digital News Report 2020. 112.
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Local file Local file
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Informal mentorship was captured using the following retrospective question from Wave 3 of the AddHealth data: "Other than your parents or step-parents, has an adult made an important positive difference in your life at any time since you were 14 years old?" Based on this question, I created a binary indicator for mentorship coded 1 if the young person had an informal mentor and 0 if they did not. Respondents were then asked "How is this person related to you?", and given response options like "family,""teacher/counselor,""friend's parent,""neighbor,"and "religious leader.
Defining informal mentorship in the survey data
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Middle-income subsample 3,158
Middle-income subsample for analysis was 3,158
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1. "Middle-income" is defined as anyone living in a household making two-thirds to double the median income (Pew Research Center, 2016). In 1994, the median income for a family of four was $46,757(US Bureau of Statistics, 1996). Thus, "middle-income" families would be those making between $30,860 and $93,514. Because I only have data available in $25,000 increments, I am defining middle-income families as those making between $25,000 and $100,000 a year in Wave 1.
Middle-income = families making $25k-$100k a year in Wave 1
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Defining low-,middle-, and high-income groupsDue to the limitation in the data described above, all incomes had to be converted in to categorical responses, with the smallest possible category size of $25,000 dollars. This created five categories for all incomes:
Defining income groups: under $25k, $25k-$49999, $50k-$74999, $75k-$99999, and $100k+.
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Wave 1 income was collected as a continuous variable, with an average of $45,728, (N=15,351, SD=$51,616). Low-income respondents (with incomes below $25,000) had an average of $9,837 (N=3,049, SD=4,633). Wave 4 income was recorded as a categorical variable, however, where respondents indicated if they made under $5,000, between $5,000 and $10,000, between $10,000 and $15,000, etc. These categories were of different sizes, getting larger as the income grew larger. Therefore, in order to create comparable measures between Wave 1 and Wave 4, both incomes were converted to 5 groups, (1) household income of less than $25,000, (2) household income of $25,000 to $49,999, (3) household income of $50,000 to $74,000, (4) household income of $75,000 to $99,000, and (5) household income of over $100,000
Upward mobility (dependent variable); data surrounding household incomes of Wave 1 and Wave 4
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stratum. This sampling method yielded a sample of 20,745 students in 7thto 12thgrade, with oversampling of some minority racialethnic groups, students with disabilities, and twins(Harris, 2018). Data were also collected from the parents of the in-home survey respondents, with an 85% success rate (Chen & Chantala, 2014).Wave 1 participants also reported their home address, which was then linked to a number of state-, county-, and Census tract-level variables from other sources. The present study used the school survey data, the in-home interview data, the parent survey data, and the data that was linked to state, county, and census-tracts, as described above. This study also used data from two subsequent waves of in-home interviews, specifically waves 3 and 4 (no new information relevant to the present study was collected in Wave 2). For each subsequent wave, AddHealth survey administrators recruited from the pool of Wave 1 respondents, no matter if they had responded to any wave since Wave 1. The present study used Wave 1 data for information about the youth’s socioeconomic status, social capital and other related variables. This wave collected from 1994 to 1995, when most respondents were between11 and 19 years old (n=20,745 youth) (Harris, 2013).This study also used information from the third wave of in-home interview data, namely all questions on informal mentoring. This wave wascollected in 2001 and 2002 when the youth (N=15,197) were 18 to 26 years old. The fourth wave of data was collected in 2008 and 2009, when the respondents were 25 to 33 years old (n=15,701). Data from the fourth wave wereused to calculate economic mobility, the key dependent variable for this study.
Data source
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DataTo address these questions, this study used three wavesofthe restricted-use version of the National Longitudinal Study of Adolescent Health (AddHealth). AddHealth is a multi-wave longitudinal, nationally representative study of youth who have been followed since adolescence through to adulthood. The AddHealth data were collected by sampling 80 high schools stratified across region, school type, urbanicity, ethnic mix, and school size during the 1994-1995 academic year. Fifty-two feeder schools(commonly middle schools whose students were assumed to go to these study high schools)were also sampled, resulting in a total of 132 sample schools. (Chen & Chantala, 2014, Harris, 2013). When sample high schools had grades 7 to 12, feeder schools were not recruited, as the lower grades served the role of feeding in younger students (Chen, 2014). Seventy nine percent of schools approached agreed to be in the study (Chen & Chantala, 2014). An in-school survey was then administered to over 90,000 students from these 132 schools. This survey was given during a single day within a 45-to 60-minute class period (Chen & Chantala, 2014). Subsequent recruitment for in-home interviews was done by stratifying students in each school by grade and sex and then randomly choosing 17 students from each
Data source
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www.wsj.com www.wsj.com
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Governments’ use of purchased location data has exploded in recent months, as officials around the world have sought insights on how people are moving around during the Covid-19 pandemic. In general, governments have assured their citizens that any location data collected by the marketing industry and used by public health entities is anonymous. But the movements of a phone give strong clues to its ownership—for example, where the phone is located during the evenings and overnight is likely where the phone owner lives. The identity of the phone’s owner can further be corroborated if their workplace, place of worship, therapist’s office or other information about their real-world activities are known to investigators.
private data is not anonymous as is purported
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www.biorxiv.org www.biorxiv.org
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Starr, T. N., Greaney, A. J., Hilton, S. K., Crawford, K. H., Navarro, M. J., Bowen, J. E., Tortorici, M. A., Walls, A. C., Veesler, D., & Bloom, J. D. (2020). Deep mutational scanning of SARS-CoV-2 receptor binding domain reveals constraints on folding and ACE2 binding [Preprint]. Microbiology. https://doi.org/10.1101/2020.06.17.157982
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www.jclinepi.com www.jclinepi.com
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van Smeden, M., Groenwold, R.H.H., & Moons, K. GM. (2020, June 18). A cautionary note on the use of the missing indicator method for handling missing data in prediction research. Journal of Clinical Epidemiology. https://doi.org/10.1016/j.jclinepi.2020.06.007
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www.the100.ci www.the100.ci
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Crisis research, fast and slow. (2020, March 26). The 100% CI. http://www.the100.ci/2020/03/26/crisis-research-fast-and-slow/
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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
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psyarxiv.com psyarxiv.com
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Yamagata, M., Teraguchi, T., & Miura, A. (2020, April 10). The Relationship between Infection-Avoidance Tendency and Exclusionary Attitudes towards Foreigners: A Case Study of the COVID-19 Outbreak in Japan. https://doi.org/10.31234/osf.io/vhrqn
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royalsociety.org royalsociety.org
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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/
Tags
- lang:en
- Royal Society
- public health
- droplet
- learning
- publication
- social distancing
- SAGE
- transmission reduction
- behavioral change
- physical distancing
- asymptomatic
- COVID-19
- is:webpage
- evidence
- management
- Data Evaluation and Learning for Viral Epidemics
- face mask
- policy
- infection
- DELVE
Annotators
URL
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covid19.gleamproject.org covid19.gleamproject.org
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Gleam Project | COVID-19 Mobility USA
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psyarxiv.com psyarxiv.com
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Raihani, N., & de-Wit, L. (2020, April 21). Factors Associated With Concern, Behaviour & Policy Support in Response to SARS-CoV-2. https://doi.org/10.31234/osf.io/8jpzc
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doi.org doi.org
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Willem, L., Hoang, T. V., Funk, S., Coletti, P., Beutels, P., & Hens, N. (2020). SOCRATES: An online tool leveraging a social contact data sharing initiative to assess mitigation strategies for COVID-19 [Preprint]. Epidemiology. https://doi.org/10.1101/2020.03.03.20030627
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DaveLagnado on Reddit
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firebase.google.com firebase.google.com
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An index of groups can help a great deal here:
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proandroiddev.com proandroiddev.com
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normalizing our dabatase will help us. What means normalize? Well, it simply means to separate our information as much as we can
directly contradicts firebase's official advice: denormalize the structure by duplicating some of the data: https://youtu.be/lW7DWV2jST0?t=378
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twitter.com twitter.com
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Twitter. (n.d.). Twitter. Retrieved June 18, 2020, from https://twitter.com/devisridhar/status/1273528564793643008
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twitter.com twitter.com
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Twitter. (n.d.). Twitter. Retrieved June 18, 2020, from https://twitter.com/scibeh/status/1273519745762037765
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www.dkv.global www.dkv.global
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COVID-19 Regional Safety Assessment | DKG. (n.d.). DKV. Retrieved June 17, 2020, from https://www.dkv.global/covid-safety-assessment-200-regions
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www.reddit.com www.reddit.com
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r/BehSciMeta—Comment by u/UHahn on ”What is the impact of retraction of scientific studies reported in news media?”. (n.d.). Reddit. Retrieved June 17, 2020, from https://www.reddit.com/r/BehSciMeta/comments/gyw43b/what_is_the_impact_of_retraction_of_scientific/ftp5w1p
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www.thelancet.com www.thelancet.com
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Kucharski, A. J., Klepac, P., Conlan, A. J. K., Kissler, S. M., Tang, M. L., Fry, H., Gog, J. R., Edmunds, W. J., Emery, J. C., Medley, G., Munday, J. D., Russell, T. W., Leclerc, Q. J., Diamond, C., Procter, S. R., Gimma, A., Sun, F. Y., Gibbs, H. P., Rosello, A., … Simons, D. (2020). Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: A mathematical modelling study. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30457-6
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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
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zoom.us zoom.us
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Oxford Internet Institute. Webinar Registration - "Data, data (science), get us out of here! Recommendations for resilient and fair policy-making in a crisis"
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twitter.com twitter.com
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Kazemi, D. (2020, May 23). "NPR is promoting this article again. Without access to the study we have no way of knowing how "bot" was estimated or measured, we simply have to go on the reputation and past research of this lab, which I dug into last night here: https://twitter.com/tinysubversion..." Twitter. https://twitter.com/tinysubversions/status/1263965246416318465
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twitter.com twitter.com
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Nivi Mani on Twitter. "I cannot stop smiling! Here is a first peek at the data from our online browser-based intermodal preferential looking set-up! We replicate the prediction effect (boy eats big cake, Mani & Huettig, 2012) using our online webcam testing software @julien__mayor @Kindskoepfe_Lab" / Twitter. (n.d.). Twitter. Retrieved June 15, 2020, from https://twitter.com/nivedita_mani/status/1265556217486815232
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Raleigh, V. S. (2020). Tackling UK’s mortality problem: Covid-19 and other causes. BMJ, 369. https://doi.org/10.1136/bmj.m2295
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assets.publishing.service.gov.uk assets.publishing.service.gov.uk
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COVID-19: Review of disparities in risks and outcomes. (n.d.). GOV.UK. Retrieved June 15, 2020, from https://www.gov.uk/government/publications/covid-19-review-of-disparities-in-risks-and-outcomes
Tags
- lang:en
- is:pdf
- occupation
- age
- geography
- is:report
- UK
- socioeconomic status
- ethnicity
- comorbidity
- risk factor
- inequality
- COVID-19
- big data
Annotators
URL
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rviews.rstudio.com rviews.rstudio.com
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Views, R. (2020, May 20). An R View into Epidemiology. /2020/05/20/some-r-resources-for-epidemiology/
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psyarxiv.com psyarxiv.com
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Borsboom, D., Blanken, T., Dablander, F., Tanis, C., van Harreveld, F., & van Mieghem, P. (2020). BECON methodology [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/53ey9
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psyarxiv.com psyarxiv.com
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Hopp, F. R., Fisher, J. T., Cornell, D., Huskey, R., & Weber, R. (2020). The Extended Moral Foundations Dictionary (eMFD): Development and Applications of a Crowd-Sourced Approach to Extracting Moral Intuitions from Text [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/924gq
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arxiv.org arxiv.org
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Ziems, C., He, B., Soni, S., & Kumar, S. (2020). Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis. ArXiv:2005.12423 [Physics]. http://arxiv.org/abs/2005.12423
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twitter.com twitter.com
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Twitter. (n.d.). Twitter. Retrieved June 12, 2020, from https://twitter.com/robertoge/status/1270710014135676928
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twitter.com twitter.com
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van Smeden, M. (2020, May 26). "RT @MaartenvSmeden: Often more than 300 COVID-19 related scientific articles published per day Data from @evidencelive." Twitter. https://twitter.com/SciBeh/status/1265657595307667457
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arxiv.org arxiv.org
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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
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www.thelancet.com www.thelancet.com
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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
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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
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OSF Coronavirus Outbreak Research Collection
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www.cos.io www.cos.io
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Science, C. for O. (2020 May 5). TOP Factor to appear in Master Journal List. https://www.cos.io/about/news/cos-and-the-web-of-science-collaborate-to-bring-top-factor-to-master-journal-list
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www.bristol.ac.uk www.bristol.ac.uk
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UKRN position on covid 19 research. (2020 May 01). School of Psychological Science | University of Bristol. http://www.bristol.ac.uk/psychology/research/ukrn/news/2020/ukrn-position-on-covid-19-research.html
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featuredcontent.psychonomic.org featuredcontent.psychonomic.org
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Okan, Y. (2020, May 22). From a tweet to Reddit and beyond: The road to a global behavioral science SWAT team. Psychonomic Society Featured Content. https://featuredcontent.psychonomic.org/from-a-tweet-to-reddit-and-beyond-the-road-to-a-global-behavioral-science-swat-team/
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www.sciencedirect.com www.sciencedirect.com
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Boustan, L. P., Kahn, M. E., Rhode, P. W., & Yanguas, M. L. (2020). The Effect of Natural Disasters on Economic Activity in US Counties: A Century of Data. Journal of Urban Economics, 103257. https://doi.org/10.1016/j.jue.2020.103257
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Murphy, C., Laurence, E., & Allard, A. (2020). Deep learning of stochastic contagion dynamics on complex networks. ArXiv:2006.05410 [Cond-Mat, Physics:Physics, Stat]. http://arxiv.org/abs/2006.05410
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www.rationaloptimist.com www.rationaloptimist.com
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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/
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threader.app threader.app
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Balloux, F. (2020, May 22) A thread written by @BallouxFrancois. Threader. https://threader.app/thread/1263745877702737920
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jjbeshara.com jjbeshara.com
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Estimates say that 83% of us will be hit with a mental health crisis in our lives, we can all make the choices to invest wisely in this area to improve our ‘mental durability’ to deal with it properly.
Tags
Annotators
URL
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blog.thefactual.com blog.thefactual.com
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Meylan, P. (2020, March 24). The Most Credible Journalists on COVID-19. The Factual. https://blog.thefactual.com/credible-journalists-covid-19
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Layer, R. M., Fosdick, B., Larremore, D. B., Bradshaw, M., & Doherty, P. (2020). Case Study: Using Facebook Data to Monitor Adherence to Stay-at-home Orders in Colorado and Utah. MedRxiv, 2020.06.04.20122093. https://doi.org/10.1101/2020.06.04.20122093
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statmodeling.stat.columbia.edu statmodeling.stat.columbia.edu
Tags
- relevance
- data analysis
- limitation
- lang:en
- social science
- is:blog
- review
- policy
- criticism
- COVID-19
- behavioral science
- role
Annotators
URL
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fivethirtyeight.com fivethirtyeight.com
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Koerth, M. (2020, March 31). Why It’s So Freaking Hard To Make A Good COVID-19 Model. FiveThirtyEight. https://fivethirtyeight.com/features/why-its-so-freaking-hard-to-make-a-good-covid-19-model/
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www.nature.com www.nature.com
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Hsiang, S., Allen, D., Annan-Phan, S., Bell, K., Bolliger, I., Chong, T., Druckenmiller, H., Huang, L. Y., Hultgren, A., Krasovich, E., Lau, P., Lee, J., Rolf, E., Tseng, J., & Wu, T. (2020). The effect of large-scale anti-contagion policies on the COVID-19 pandemic. Nature, 1–9. https://doi.org/10.1038/s41586-020-2404-8
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ispmbern.github.io ispmbern.github.iocovid-191
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Covid-19. (n.d.). Covid-19. Retrieved June 8, 2020, from https://ispmbern.github.io/covid-19/living-review/
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rviews.rstudio.com rviews.rstudio.com
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Views, R. (2020, June 3). More Select COVID-19 Resources. /2020/06/03/more-select-covid-19-resources/
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twitter.com twitter.com
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Cheshire, J. (2020, May 18). "John Snow's map of cholera looked as dull as (cholera filled) dishwater compared to his competitors...His brilliance was a solid data collection & then a simple map presenting what he knew. Each death marked in black and white. Here's a lesson for COVID-19 dataviz... 1/11" Twitter. https://twitter.com/spatialanalysis/status/1262338373253042178
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www.tandfonline.com www.tandfonline.com
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Efron, B. (2020). Prediction, Estimation, and Attribution. Journal of the American Statistical Association, 115(530), 636–655. https://doi.org/10.1080/01621459.2020.1762613
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www.theguardian.com www.theguardian.com
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Phillips, D. (2020, June 7). Brazil stops releasing Covid-19 death toll and wipes data from official site. The Guardian. https://www.theguardian.com/world/2020/jun/07/brazil-stops-releasing-covid-19-death-toll-and-wipes-data-from-official-site
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advances.sciencemag.org advances.sciencemag.org
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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
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www.healthdata.org www.healthdata.org
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COVID-19 estimate downloads. (2020, April 2). Institute for Health Metrics and Evaluation. http://www.healthdata.org/covid/data-downloads
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www.icuregswe.org www.icuregswe.org
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Andersson, L. (2020, June 08) COVID-19 i svensk intensivvård. Retrieved June 8, 2020, from https://www.icuregswe.org/data--resultat/covid-19-i-svensk-intensivvard/
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www.psycharchives.org www.psycharchives.org
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Steinmetz, H., Batzdorfer, V., & Bosnjak, M. (2020). The ZPID lockdown measures dataset for Germany [Report]. ZPID (Leibniz Institute for Psychology Information). http://dx.doi.org/10.23668/psycharchives.3019
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Torres, L., Blevins, A. S., Bassett, D. S., & Eliassi-Rad, T. (2020). The why, how, and when of representations for complex systems. ArXiv:2006.02870 [Cs, q-Bio]. http://arxiv.org/abs/2006.02870
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arxiv.org arxiv.org
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Kempfert, K., Martinez, K., Siraj, A., Conrad, J., Fairchild, G., Ziemann, A., Parikh, N., Osthus, D., Generous, N., Del Valle, S., & Manore, C. (2020). Time Series Methods and Ensemble Models to Nowcast Dengue at the State Level in Brazil. ArXiv:2006.02483 [q-Bio, Stat]. http://arxiv.org/abs/2006.02483
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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
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www.sciencemag.org www.sciencemag.org
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Servick, K., EnserinkJun. 2, M., 2020, & Pm, 7:55. (2020, June 2). A mysterious company’s coronavirus papers in top medical journals may be unraveling. Science | AAAS. https://www.sciencemag.org/news/2020/06/mysterious-company-s-coronavirus-papers-top-medical-journals-may-be-unraveling
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dataforgood.fb.com dataforgood.fb.com
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Our Work on COVID-19. (n.d.). Facebook Data for Good. Retrieved April 20, 2020, from https://dataforgood.fb.com/docs/covid19/
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coronavirus.frontiersin.org coronavirus.frontiersin.org
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Global public health data on COVID-19. (n.d.). Coronavirus (COVID-19): The Latest Science & Expert Commentary | Frontiers. Retrieved June 4, 2020, from https://coronavirus.frontiersin.org/covid-19-data-resources
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surgisphere.com surgisphere.com
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Desai, S. (2020, May 29). Response to Widespread Reaction to Recent Lancet Article on Hydroxychloroquine. Surgisphere Corporation. https://surgisphere.com/2020/05/29/response-to-widespread-reaction-to-recent-lancet-article-on-hydroxychloroquine/
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science.sciencemag.org science.sciencemag.org
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Servick, K., & Enserink, M. (2020). The pandemic’s first major research scandal erupts. Science, 368(6495), 1041–1042. https://doi.org/10.1126/science.368.6495.1041
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www.statnews.com www.statnews.com
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says, J. C. (2020, June 4). Lancet, NEJM retract Covid-19 studies that sparked backlash. STAT. https://www.statnews.com/2020/06/04/lancet-retracts-major-covid-19-paper-that-raised-safety-concerns-about-malaria-drugs/
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www.theguardian.com www.theguardian.com
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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.
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docs.gitlab.com docs.gitlab.com
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Transition from Redcarpet to CommonMark
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users will not want to see data mining expanding across their WhatsApp metadata. But if that’s the price to maintain encryption, one can assume it will be a relatively easy sell for most users.
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www.ages.at www.ages.at
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Epidemiologische Abklärung am Beispiel COVID-19. (n.d.). AGES - Österreichische Agentur für Gesundheit und Ernährungssicherheit. https://www.ages.at/service/service-presse/pressemeldungen/epidemiologische-abklaerung-am-beispiel-covid-19/
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Yang, F. (2020). Data Visualization for Health and Risk Communication. In H. D. O’Hair, M. J. O’Hair, E. B. Hester, & S. Geegan (Eds.), The Handbook of Applied Communication Research (1st ed., pp. 213–232). Wiley. https://doi.org/10.1002/9781119399926.ch13
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theconversation.com theconversation.com
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Bailey, R. (2020, May 19). Why we need the human touch in contact tracing for coronavirus. The Conversation. http://theconversation.com/why-we-need-the-human-touch-in-contact-tracing-for-coronavirus-137933
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www.houstonchronicle.com www.houstonchronicle.com
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Blackman, J., & Goldenstein, T. (2020, May 21). Using cellphone data, national study predicts huge June spike in Houston coronavirus cases. HoustonChronicle.Com. https://www.houstonchronicle.com/news/houston-texas/houston/article/Using-cellphone-data-national-study-predicts-15286096.php
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journals.sagepub.com journals.sagepub.com
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Rosenbusch, H., Hilbert, L. P., Evans, A. M., & Zeelenberg, M. (2020). StatBreak: Identifying “Lucky” Data Points Through Genetic Algorithms. Advances in Methods and Practices in Psychological Science, 2515245920917950. https://doi.org/10.1177/2515245920917950
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psyarxiv.com psyarxiv.com
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Leplaa, H. J., Rietbergen, C., & Hoijtink, H. (2020). Bayesian evaluation of replication studies [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/49tbz
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psyarxiv.com psyarxiv.com
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Sun, R., Balabanova, A., Bajada, C. J., Liu, Y., Kriuchok, M., Voolma, S., … Fadhlia, T. N. (2020, June 2). Measuring emotion experience and wellbeing during COVID19 across the world. https://doi.org/10.31234/osf.io/r7xaz
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twitter.com twitter.com
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Probability Fact on Twitter: “Random phenomena are not obligated to follow one of the few dozen distributions that humans have given names to.” / Twitter. (n.d.). Twitter. Retrieved June 2, 2020, from https://twitter.com/probfact/status/1267204212972236808
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Eroglu, D. (2020). Revealing Dynamics, Communities, and Criticality from Data. Physical Review X, 10(2). https://doi.org/10.1103/PhysRevX.10.021047
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Cantwell, G. T., Liu, Y., Maier, B. F., Schwarze, A. C., Serván, C. A., Snyder, J., & St-Onge, G. (2020). Thresholding normally distributed data creates complex networks. Physical Review E, 101(6), 062302. https://doi.org/10.1103/PhysRevE.101.062302
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twitter.com twitter.com
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hedonometer on Twitter: “Yesterday was the saddest day in the history of @Twitter https://t.co/91VP3Ywtnr” / Twitter. (n.d.). Twitter. Retrieved June 1, 2020, from https://twitter.com/hedonometer/status/1266774310565425154
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featuredcontent.psychonomic.org featuredcontent.psychonomic.org
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Lewandowsky, S. (2020, June 1). A tale of two island nations: Lessons for crisis knowledge management. Psychonomic Society Featured Content. https://featuredcontent.psychonomic.org/a-tale-of-two-island-nations-lessons-for-crisis-knowledge-management/
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- May 2020
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twitter.com twitter.com
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🔥Kareem Carr🔥 on Twitter: “I want to talk about bugs in statistical analyses. I think many data analysts worry unnecessarily about this. I do think it’s important to put a good faith effort into avoiding bugs, but I know data analysts that live in terror of hearing there’s a bug in published work. 1/6” / Twitter. (n.d.). Twitter. Retrieved May 30, 2020, from https://twitter.com/kareem_carr/status/1266029701392412673
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www.thelancet.com www.thelancet.com
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Verity, R., Okell, L., Dorigatti, I., Winskill, P., Whittaker, C., Walker, P., Donnelly, C., Ferguson, N., & Ghani, A. (2020). COVID-19 and the difficulty of inferring epidemiological parameters from clinical data – Authors’ reply. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30443-6
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psyarxiv.com psyarxiv.com
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Hanel, P. H. P. (2020). Conducting High Impact Research With Limited Financial Resources (While Working From Home) [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/s3fcu
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Crchartier, ~. (2020, March 13). The PSA Calls for Rapid and Impactful Study Proposals on COVID-19. Psychological Science Accelerator. https://psysciacc.org/2020/03/13/the-psa-calls-for-rapid-and-impactful-study-proposals-on-covid-19/
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projekte.uni-erfurt.de projekte.uni-erfurt.de
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Betsch, C., Wieler, L., Bosnjak, M., Ramharter, M., Stollorz, V., Omer, S., Korn, L., Sprengholz, P., Felgendreff, L., Eitze, S., & Schmid, P. (2020). Germany COVID-19 Snapshot MOnitoring (COSMO Germany): Monitoring knowledge, risk perceptions, preventive behaviours, and public trust in the current coronavirus outbreak in Germany. https://doi.org/10.23668/PSYCHARCHIVES.2776
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www.psychologicalscience.org www.psychologicalscience.org
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Social Scientists Scramble to Study Pandemic, In Real Time. (n.d.). Association for Psychological Science - APS. Retrieved April 20, 2020, from https://www.psychologicalscience.org/news/social-scientists-scramble-to-study-pandemic-in-real-time.html
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www.tandfonline.com www.tandfonline.com
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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
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EU Datathon 2020—EU Datathon—Publications Office of the EU. (n.d.). Retrieved May 5, 2020, from https://op.europa.eu/en/web/eudatathon
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psyarxiv.com psyarxiv.com
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Peikert, A., & Brandmaier, A. M. (2019). A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker. https://doi.org/10.31234/osf.io/8xzqy
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www.cebm.net www.cebm.net
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UK Data for Assessing COVID-19 Activity. (n.d.). CEBM. Retrieved May 12, 2020, from https://www.cebm.net/covid-19/covid-19-uk-data-for-assessing-the-way-out-of-lockdown/
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docs.google.com docs.google.com
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arxiv.org arxiv.org
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Alshaabi, T., et al. (2020 March 27). How the world's collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter. Cornell University. arXiv:2003.12614
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covid.deepset.ai covid.deepset.ai
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Corona Scholar: Scientific COVID-19 Knowledge
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newsroom.ibm.com newsroom.ibm.com
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IBM. (2020 April 02). IBM offers "Watson Assistant for Citizens" to provide responses to COVID-19 questions. newsroom.IBM.com. https://newsroom.ibm.com/2020-04-02-IBM-Offers-Watson-Assistant-for-Citizens-to-Provide-Responses-to-COVID-19-Questions
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bmcmedresmethodol.biomedcentral.com bmcmedresmethodol.biomedcentral.com
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Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Medical Research Methodology, 18(1), 143. https://doi.org/10.1186/s12874-018-0611-x
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psyarxiv.com psyarxiv.com
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Ryan, W., & Evers, E. (2020). Logarithmic Axis Graphs Distort Lay Judgment. https://doi.org/10.31234/osf.io/cwt56
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Spiegelhalter, D. (2020, May 26). Is SARS-CoV-2 viral load lower in young children than adults? Medium. https://medium.com/@d_spiegel/is-sars-cov-2-viral-load-lower-in-young-children-than-adults-8b4116d28353
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www.theguardian.com www.theguardian.com
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Davey, M. (2020, May 28). Questions raised over hydroxychloroquine study which caused WHO to halt trials for Covid-19. The Guardian. https://www.theguardian.com/science/2020/may/28/questions-raised-over-hydroxychloroquine-study-which-caused-who-to-halt-trials-for-covid-19
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Rosenblatt, S. F., Smith, J. A., Gauthier, G. R., & Hébert-Dufresne, L. (2020). Immunization Strategies in Networks with Missing Data. ArXiv:2005.07632 [Physics, q-Bio]. http://arxiv.org/abs/2005.07632
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www.nature.com www.nature.com
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Zdeborová, L. (2020). Understanding deep learning is also a job for physicists. Nature Physics, 1–3. https://doi.org/10.1038/s41567-020-0929-2
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twitter.com twitter.com
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Jo Wood on Twitter: „Yesterday saw by far the highest ever use of London @SantanderCycles and possibly highest volume of cycling ever seen in the capital. / Twitter. (n.d.). Twitter. Retrieved May 27, 2020, from https://twitter.com/jwolondon/status/1265197657385025536
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www.thelancet.com www.thelancet.com
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Rybniker, J., & Fätkenheuer, G. (2020). Importance of precise data on SARS-CoV-2 transmission dynamics control. The Lancet Infectious Diseases, S1473309920303595. https://doi.org/10.1016/S1473-3099(20)30359-5
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www.digital-democracy.org www.digital-democracy.org
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The data that organizations and individuals have committed to digital memory stands to ultimately control them.
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by practicing data minimalism and actively considering your data decisions
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learn how to be a data steward or data ally. Help organizations proactively think about what data they collect and how it is governed after its collected. Help organizations get their collective head around all the data they possess, how they curate it, how they back it up, and how over time they minimize it.
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twitter.com twitter.com
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Carl T. Bergstrom on Twitter
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www.jmir.org www.jmir.org
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Farooq, A., Laato, S., & Islam, A. K. M. N. (2020). Impact of Online Information on Self-Isolation Intention During the COVID-19 Pandemic: Cross-Sectional Study. Journal of Medical Internet Research, 22(5), e19128. https://doi.org/10.2196/19128
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github.com github.com
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The diagram was generated with rails-erd
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github.com github.com
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Domain Model
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www.collinsdictionary.com www.collinsdictionary.com
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a new generation of dictionaries that were based on real examples of English - the type of English that people speak and write every day
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leedsunilibrary.wordpress.com leedsunilibrary.wordpress.com
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The Ethics of Online Research. (2018, August 30). Leeds University Library Blog. https://leedsunilibrary.wordpress.com/2018/08/30/the-ethics-of-online-research/
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www.nytimes.com www.nytimes.com
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Roberts, D. C. (2020, May 22). Putting the Risk of Covid-19 in Perspective. The New York Times. https://www.nytimes.com/2020/05/22/well/live/putting-the-risk-of-covid-19-in-perspective.html
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ourworldindata.org ourworldindata.orgAbout1
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About. (n.d.). Our World in Data. Retrieved May 25, 2020, from https://ourworldindata.org/about
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Fansher, M., Adkins, T., Lalwani, P., Quirk, M., Boduroglu, A., Lewis, R., … Jonides, J. (2020, May 19). How well do ordinary Americans forecast the growth of COVID-19?. https://doi.org/10.31234/osf.io/2d5r9
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Borgonovi, F., & Pokropek, A. (2020). Can we rely on trust in science to beat the COVID-19 pandemic? [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/yq287
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rainbowtabl.es rainbowtabl.es
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With a single source IP address it's possible to quickly determine the type of devices on their network, and the social networks they frequent – Google, YouTube, Facebook, Soichat.com, TikTok, Line (a chat application), among many other domains.
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covid19.gleamproject.org covid19.gleamproject.org
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COVID-19 Modeling: Italy
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codeguard.zendesk.com codeguard.zendesk.com
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Not necessarily. Hosting companies tend to keep your backups in the same place as your primary files. You don’t carry around a copy of your birth certificate along with the actual one – you keep the real one safe at home for emergencies. So why not do the same for your backups? CodeGuard provides safe, offsite backup that is 100% independent from your hosting provider.
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hypothes.is hypothes.is
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Register Today For Data Science Certification. Learn the Best Data Science Course from our Top Tutors. Study and Get A Certified Data Science Course. Enroll For Data Science Certification and Get 24/7 support and all time study Material. Land in your Dream Job by registering to this Course.
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science.sciencemag.org science.sciencemag.org
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Salje, H., Tran Kiem, C., Lefrancq, N., Courtejoie, N., Bosetti, P., Paireau, J., Andronico, A., Hozé, N., Richet, J., Dubost, C.-L., Le Strat, Y., Lessler, J., Levy-Bruhl, D., Fontanet, A., Opatowski, L., Boelle, P.-Y., & Cauchemez, S. (2020). Estimating the burden of SARS-CoV-2 in France. Science, eabc3517. https://doi.org/10.1126/science.abc3517
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covidtracking.com covidtracking.com
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The COVID Tracking Project. https://covidtracking.com/
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twitter.com twitter.com
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The COVID Tracking Project - Twitter
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www.annualreviews.org www.annualreviews.org
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Edelmann, A., Wolff, T., Montagne, D., & Bail, C. A. (2020). Computational Social Science and Sociology. Annual Review of Sociology, 46(1), annurev-soc-121919-054621. https://doi.org/10.1146/annurev-soc-121919-054621
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www.iubenda.com www.iubenda.com
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In other words, it’s the procedure to prevent Google from “cross-referencing” information from Analytics with other data in its possession.
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wordpress.org wordpress.org
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Now personal data exports include users session information and users location data from the community events widget. Plus, a table of contents!See progress as you process export and erasure requests through the privacy tools.
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www.sciencedirect.com www.sciencedirect.com
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Lourenco, S. F., & Tasimi, A. (2020). No Participant Left Behind: Conducting Science During COVID-19. Trends in Cognitive Sciences, S1364661320301157. https://doi.org/10.1016/j.tics.2020.05.003
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Dahl Fitjar, R. (2020, May 9). The density and connectedness of cities now appear as weaknesses. LSE Business Review. https://blogs.lse.ac.uk/businessreview/2020/05/09/the-density-and-connectedness-of-cities-now-appear-as-weaknesses/
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bfi.uchicago.edu bfi.uchicago.edu
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Brzezinski, A., Kecht, V., Van Dijcke, D., Wright, A. (2020) Belief in Science Influences Physical Distancing in Response to COVID-19 Lockdown Policies. BFI. https://bfi.uchicago.edu/working-paper/belief-in-science-influences-physical-distancing-in-response-to-covid-19-lockdown-policies/
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gitlab.com gitlab.com
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The redirects will be available as long as the original path is not claimed by another group, user or project.
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forum.gitlab.com forum.gitlab.com
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science-sciencemag-org.ezproxy.redlands.edu science-sciencemag-org.ezproxy.redlands.edu
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Aspesi, C., & Brand, A. (2020). In pursuit of open science, open access is not enough. Science, 368(6491), 574–577. https://doi.org/10.1126/science.aba3763
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github.com github.com
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EBM Data Lab - Risk Factors Research
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www.nature.com www.nature.com
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Vespignani, A., Tian, H., Dye, C. et al. Modelling COVID-19. Nat Rev Phys (2020). https://doi.org/10.1038/s42254-020-0178-4
Tags
- mathematics
- lang:en
- superspreading
- public health
- modeling
- is:article
- computational modeling
- intervention
- isolation
- COVID-19
- challenge
- containment measures
- quarentine
- pharmaceutical
- contact tracing
- war time
- epidemiology
- emergency
- China
- forecast
- prediction
- policy
- open data
- complex network
- transmission dynamics
- infection
- antibody testing
Annotators
URL
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ai.googleblog.com ai.googleblog.com
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Tsitsulin, A. & Perozzi B. Understanding the Shape of Large-Scale Data. (2020 May 05). Google AI Blog. http://ai.googleblog.com/2020/05/understanding-shape-of-large-scale-data.html
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www.pnas.org www.pnas.org
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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
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twitter.com twitter.com
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ReconfigBehSci Post
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weather.com weather.com
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They collect very little data so their "export" feature is very simplistic: just an in-browser JSON dump of localStorage and cookies.
Browser Data
We use data on your browser to offer features on this website. We do not store this data, but we can offer a view of your browser data at any time.
View Browser Data
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www.iubenda.com www.iubenda.com
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users must also be informed of the breach (within the same time frame) unless the data breached was protected by encryption (data rendered unreadable for the intruder), or, in general, the breach is unlikely to result in a risk to individuals’ rights and freedoms.
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The GDPR permits data transfers of EU resident data outside of the European Economic Area (EEA) only when in compliance with set conditions.
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Because consent under the GDPR is such an important issue, it’s mandatory that you keep clear records and that you’re able to demonstrate that the user has given consent; should problems arise, the burden of proof lies with the data controller, so keeping accurate records is vital.
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www.iubenda.com www.iubenda.com
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If you’re switching from another cookie management solution to ours, you may want to migrate the consents you’ve already collected. This is useful for ensuring that users who have already given their consent under the previous solution are not presented with the cookie banner, and the related request for consent, again.
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www.iubenda.com www.iubenda.com
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If, for example, you want to migrate consents from a previous provider, you could call this method inside the onBeforePreload callback when consent is already given by another platform.
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www.iubenda.com www.iubenda.com
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Services generally fall into two categories: Services related to your own data collection activities (eg. contact forms)Services related to third-party data collection activities (eg. Google Analytics)
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www.iubenda.com www.iubenda.com
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Consent means offering individuals real choice and control. Genuine consent should put individuals in charge, build trust and engagement, and enhance your reputation.
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www.dataprotection.ie www.dataprotection.ie
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www.technologyreview.com www.technologyreview.com
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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/
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arxiv.org arxiv.org
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Qian, Y., Expert, P., Panzarasa, P., & Barahona, M. (2020). Geometric graphs from data to aid classification tasks with graph convolutional networks. ArXiv:2005.04081 [Physics, Stat]. http://arxiv.org/abs/2005.04081
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testandtrace.com testandtrace.com
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What U.S. States Are Ready To Test & Trace? (n.d.). #TestAndTrace: The Best Contact Tracing Resource. Retrieved May 12, 2020, from https://testandtrace.com/state-data/
Tags
Annotators
URL
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psycnet.apa.org psycnet.apa.org
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Can we count on parents to help their children learn at home? (2020, May 8). Evidence for Action. https://blogs.unicef.org/evidence-for-action/can-we-count-on-parents-to-help-their-children-learn-at-home/
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www.theguardian.com www.theguardian.com
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Davis, N. (2020, May 4). Report on face masks’ effectiveness for Covid-19 divides scientists. The Guardian. https://www.theguardian.com/world/2020/may/04/scientists-disagree-over-face-masks-effect-on-covid-19
Tags
- lang:en
- Royal Society
- doubt
- critical
- expert
- physical distancing
- transmission reduction
- asymptomatic
- COVID-19
- concern
- pre-symptomatic
- evidence
- Delve
- medical equipment
- effectiveness
- Data Evaluation and Learning for Viral Epidemics
- protection
- is:news
- face mask
- protective mask
- social distancing
Annotators
URL
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Wang, C., Li, W., Drabek, D. et al. A human monoclonal antibody blocking SARS-CoV-2 infection. Nat Commun 11, 2251 (2020). https://doi.org/10.1038/s41467-020-16256-y
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podcastnotes.org podcastnotes.org
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“If you are a non-college graduate man you have a less than 50/50 shot of ever being married in your life” – Andrew YangIn the 1970s and ‘80s, there were about 17 million manufacturing jobs in the USToday, there are about 12 million of those jobsMore women are graduating from college than men58% of college graduates in the US are women
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Today, 40% of children are born to unmarried mothersBack in the 70s and 80s, it was only 15%
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www.iubenda.com www.iubenda.com
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In practice, the TCF provides a standardized process for getting users’ informed consent and allows the seamless signaling of users’ s consent preferences across the advertising supply chain.
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github.com github.com
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"Content Relations"
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developer.enonic.com developer.enonic.com
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References to other content are specified by this input type.
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en.wikipedia.org en.wikipedia.org
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The goal of the W3C Semantic Web Education and Outreach group's Linking Open Data community project is to extend the Web with a data commons by publishing various open datasets as RDF on the Web and by setting RDF links between data items from different data sources.
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The above diagram shows which Linking Open Data datasets are connected, as of August 2014.
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en.wikipedia.org en.wikipedia.org
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Copyleft licenses are institutions which support a knowledge commons of executable software.
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docs.google.com docs.google.com
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agilitycms.com agilitycms.com
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Easily create one-to-one and one-to-many relationships between content items.
Tags
Annotators
URL
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www.economist.com www.economist.com
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Countries are using apps and data networks to keep tabs on the pandemic. (2020 March 26). The Economist. https://www.economist.com/briefing/2020/03/26/countries-are-using-apps-and-data-networks-to-keep-tabs-on-the-pandemic?fsrc=newsletter&utm_campaign=the-economist-today&utm_medium=newsletter&utm_source=salesforce-marketing-cloud&utm_term=2020-05-07&utm_content=article-link-1
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psyarxiv.com psyarxiv.com
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Hartman, T. K., Stocks, T. V. A., McKay, R., Gibson Miller, J., Levita, L., Martinez, A. P., Mason, L., McBride, O., Murphy, J., Shevlin, M., bennett, kate m, & Bentall, R. (2020). The Authoritarian Dynamic During the COVID-19 Pandemic: Effects on Nationalism and Anti-Immigrant Sentiment [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/4tcv5
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www.economicmodeling.com www.economicmodeling.com
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stackoverflow.com stackoverflow.com
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Sure, anti-spam measures such as a CAPTCHA would certainly fall under "legitimate interests". But would targeting cookies? The gotcha with reCAPTCHA is that this legitimate-interest, quite-necessary-in-today's-world feature is inextricably bundled with unwanted and unrelated Google targeting (cookiepedia.co.uk/cookies/NID) cookies (_ga, _gid for v2; NID for v3).
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Many 3rd parties has some magic parameter which blocks the cookie, but doesn't block the functionality of the element, and I'm looking for something like that. For example brightcove player has a data attribute. Video is working, cookies are not set.
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www.fastcompany.com www.fastcompany.com
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Google encouraging site admins to put reCaptcha all over their sites, and then sharing the resulting risk scores with those admins is great for security, Perona thinks, because he says it “gives site owners more control and visibility over what’s going on” with potential scammer and bot attacks, and the system will give admins more accurate scores than if reCaptcha is only using data from a single webpage to analyze user behavior. But there’s the trade-off. “It makes sense and makes it more user-friendly, but it also gives Google more data,”
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For instance, Google’s reCaptcha cookie follows the same logic of the Facebook “like” button when it’s embedded in other websites—it gives that site some social media functionality, but it also lets Facebook know that you’re there.
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But this new, risk-score based system comes with a serious trade-off: users’ privacy.
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www.termsfeed.com www.termsfeed.com
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Lots of definitions. Pretty good, but a lot of it is obvious.
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One of the GDPR's principles of data processing is storage limitation. You must not store personal data for longer than you need it in connection with a specified purpose.
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But it also requires that you keep personal data well-organized and accessible to those who require access to it.
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Don't collect personal data that you don't need. "Data minimization" is a crucially important principle under the GDPR, and can also make you less susceptible to data breaches,
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www.iubenda.com www.iubenda.com
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there’s no need to send consent request emails — provided that this basis of processing was stated in your privacy policy and that users had easy access to the notice prior to you processing their data. If this information was not available to users at the time, but one of these legal bases can currently legitimately apply to your situation, then your best bet would be to ensure that your current privacy notice meets requirements, so that you can continue to process your user data in a legally compliant way.
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Here’s why sending GDPR consent emails is tricky and should be handled very carefully.
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ico.org.uk ico.org.uk
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Are we a controller?
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Are we a processor?
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they sought to eliminate data controllers and processors acting without appropriate permission, leaving citizens with no control as their personal data was transferred to third parties and beyond
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gdpr-info.eu gdpr-info.eu
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the data subject has explicitly consented to the proposed transfer, after having been informed of the possible risks of such transfers for the data subject due to the absence of an adequacy decision and appropriate safeguards;
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In the absence of an adequacy decision pursuant to Article 45(3), or of appropriate safeguards pursuant to Article 46, including binding corporate rules, a transfer or a set of transfers of personal data to a third country or an international organisation shall take place only on one of the following conditions:
These conditions are individually sufficient and jointly necessary (https://hyp.is/e0RRFJCfEeqwuR_MillmPA/en.wikipedia.org/wiki/Necessity_and_sufficiency).
Each of the conditions listed is a sufficient (but, by itself, not necessary) condition for legal transfer (T) of personal data to a third country or an international organisation. In other words, if any of those conditions is true, then legal transfer is also true.
On the other hand, the list of conditions (C; let C be the disjunction of the conditions a-g: a or b or c ...) are jointly necessary for legal transfer (T) to be true. That is:
- T cannot be true unless C (one of a or b or c ...) is true
- if C is false (there is not one of a or b or c ... that is true), then T is false
- T ⇒ C
- C ⇐ T
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Consent receipt mechanisms can be especially helpful in automatically generating such records.
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kantarainitiative.org kantarainitiative.org
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“Until CR 1.0 there was no effective privacy standard or requirement for recording consent in a common format and providing people with a receipt they can reuse for data rights. Individuals could not track their consents or monitor how their information was processed or know who to hold accountable in the event of a breach of their privacy,” said Colin Wallis, executive director, Kantara Initiative. “CR 1.0 changes the game. A consent receipt promises to put the power back into the hands of the individual and, together with its supporting API — the consent receipt generator — is an innovative mechanism for businesses to comply with upcoming GDPR requirements. For the first time individuals and organizations will be able to maintain and manage permissions for personal data.”
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