- Last 7 days
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stackoverflow.com stackoverflow.com
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If you have a better/simpler/"more official" solution, I'd still love to see it!
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en.wikipedia.org en.wikipedia.org
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The Y-intercept of the SML is equal to the risk-free interest rate. The slope of the SML is equal to the market risk premium and reflects the risk return tradeoff at a given time: S M L : E ( R i ) = R f + β i [ E ( R M ) − R f ] {\displaystyle \mathrm {SML} :E(R_{i})=R_{f}+\beta _{i}[E(R_{M})-R_{f}]\,} where: E(Ri) is an expected return on security E(RM) is an expected return on market portfolio M β is a nondiversifiable or systematic risk RM is a market rate of return Rf is a risk-free rate
This is one statement of the key relationship.
The point is that the market will have a single tradeoff between unavoidable (nondiversifiable) risk and return.
Asset's returns must reflect this, according to the theory. Their prices will be bid up (or down), until this is the case ... the 'arbitrage' process.
Why? Because (assuming borrowing/lending at a risk free rate) *any investor can achieve a particular return for a given risk level simply by buying the 'diversified market basket' and leveraging this (for more risk) or investing the remainder in the risk free-asseet (for less risk). (And she can do no better than this.)
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This abnormal extra return above the market's return at a given level of risk is what is called the alpha.
this is why you here the stock-touts bragging about their 'alpha'
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en.wikipedia.org en.wikipedia.org
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Capital asset pricing model
please read this article
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quantity beta (β)
You hear about this 'beta' all the time as the measure of 'the correlation of the risk of an asset with the representative market basket'...
but confusingly, \(\beta\) is used to represent the slope of the expected return of an asset as this risk increases.
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en.wikipedia.org en.wikipedia.org
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If the fraction q {\displaystyle q} of a one-unit (e.g. one-million-dollar) portfolio is placed in asset X and the fraction 1 − q {\displaystyle 1-q} is placed in Y, the stochastic portfolio return is q x + ( 1 − q ) y {\displaystyle qx+(1-q)y} . If x {\displaystyle x} and y {\displaystyle y} are uncorrelated, the variance of portfolio return is var ( q x + ( 1 − q ) y ) = q 2 σ x 2 + ( 1 − q ) 2 σ y 2 {\displaystyle {\text{var}}(qx+(1-q)y)=q^{2}\sigma _{x}^{2}+(1-q)^{2}\sigma _{y}^{2}} . The variance-minimizing value of q {\displaystyle q} is q = σ y 2 / [ σ x 2 + σ y 2 ] {\displaystyle q=\sigma _{y}^{2}/[\sigma _{x}^{2}+\sigma _{y}^{2}]} , which is strictly between 0 {\displaystyle 0} and 1 {\displaystyle 1} . Using this value of q {\displaystyle q} in the expression for the variance of portfolio return gives the latter as σ x 2 σ y 2 / [ σ x 2 + σ y 2 ] {\displaystyle \sigma _{x}^{2}\sigma _{y}^{2}/[\sigma _{x}^{2}+\sigma _{y}^{2}]} , which is less than what it would be at either of the undiversified values q = 1 {\displaystyle q=1} and q = 0 {\displaystyle q=0} (which respectively give portfolio return variance of σ x 2 {\displaystyle \sigma _{x}^{2}} and σ y 2 {\displaystyle \sigma _{y}^{2}} ). Note that the favorable effect of diversification on portfolio variance would be enhanced if x {\displaystyle x} and y {\displaystyle y} were negatively correlated but diminished (though not eliminated) if they were positively correlated.
Key building block formulae.
Start with 'what happens to the variance when we combine two assets (uncorrelated with same expected return)'
What are the variance minimizing shares and what is the resulting variance of the portfolio.
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Similarly, a 1985 book reported that most value from diversification comes from the first 15 or 20 different stocks in a portfolio.[6]
the conventional wisdom is that there are sharply diminishing returns to this diversification
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www.bmj.com www.bmj.com
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Smith, G. D., Blastland, M., & Munafò, M. (2020). Covid-19’s known unknowns. BMJ, 371. https://doi.org/10.1136/bmj.m3979
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www.thelancet.com www.thelancet.com
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Brown, R. C. H., Kelly, D., Wilkinson, D., & Savulescu, J. (2020). The scientific and ethical feasibility of immunity passports. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30766-0
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- Oct 2020
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www.agileconnection.com www.agileconnection.com
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This balancing act needs to take into account project complexity (size, distribution, etc.), uncertainty (risk, innovation need, etc.), and the cost of change at the project level and for each major component.
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dylanvann.com dylanvann.com
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Disclaimer: I’m new to Svelte so this isn’t so much a recommendation as it is a “I guess this is a way to do it 🤷♂️”
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13632/
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 10, 2020, from https://covid-19.iza.org/publications/dp13569/
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www.pewresearch.org www.pewresearch.org
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NW, 1615 L. St, Suite 800Washington, & Inquiries, D. 20036USA202-419-4300 | M.-857-8562 | F.-419-4372 | M. (2020, September 17). U.S. Public Now Divided Over Whether To Get COVID-19 Vaccine. Pew Research Center Science & Society. https://www.pewresearch.org/science/2020/09/17/u-s-public-now-divided-over-whether-to-get-covid-19-vaccine/
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- Sep 2020
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www.theatlantic.com www.theatlantic.com
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The challenge is to find a way to live with uncertainty,
Finding a way to be okay with uncertainty in life is a challenge for many people. I struggle with this as well. But over the last few months I have found various ways to cope with the anxiety caused by uncertainty. Because the world we live in today is full of uncertainties.
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psyarxiv.com psyarxiv.com
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Haas, I. J., Baker, M., & Gonzalez, F. (2020). Political Uncertainty Moderates Neural Evaluation of Incongruent Policy Positions. https://doi.org/10.31234/osf.io/bmr59
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www.scotsman.com www.scotsman.com
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Beware comforting lies about a “herd immunity” Covid-19 strategy. Here’s why it’s dangerous – Professor Devi Sridhar. (n.d.). Retrieved September 25, 2020, from https://www.scotsman.com/news/opinion/columnists/covid-19-herd-immunity-strategy-flawed-until-we-have-coronavirus-vaccine-professor-devi-sridhar-2981017
Tags
- vaccine
- strategy
- herd immunity
- COVID-19
- prediction
- lang:en
- is:news
- epidemiology
- antibody
- safety
- uncertainty
- protection
- government response
Annotators
URL
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www.thelancet.com www.thelancet.com
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Houlihan, C. F., & Beale, R. (2020). The complexities of SARS-CoV-2 serology. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30699-X
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osf.io osf.io
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Hennessy, E. A., Acabchuk, R., Arnold, P. A., Dunn, A. G., Foo, Y. Z., Johnson, B. T., Geange, S. R., Haddaway, N. R., Nakagawa, S., Mapanga, W., Mengersen, K., Page, M. J., Sánchez-Tójar, A., Welch, V., & McGuinness, L. A. (2020). Ensuring Prevention Science Research is Synthesis-Ready for Immediate and Lasting Scientific Impact [Preprint]. MetaArXiv. https://doi.org/10.31222/osf.io/ptg9j
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ncrc.jhsph.edu ncrc.jhsph.edu
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The Contagion Externality of a Superspreading Event: The Sturgis Motorcycle Rally and COVID-19 | NCRC. (2020, September 3). 2019 Novel Coronavirus Research Compendium (NCRC). https://ncrc.jhsph.edu/research/the-contagion-externality-of-a-superspreading-event-the-sturgis-motorcycle-rally-and-covid-19/
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Thomas, D., & Giles, C. (2020, September 14). Cities count cost of lasting exodus from offices. https://www.ft.com/content/203cc83c-72b0-49c9-bea5-6fb38735a8fc
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twitter.com twitter.com
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(((Howard Forman))) on Twitter. (n.d.). Twitter. Retrieved September 16, 2020, from https://twitter.com/thehowie/status/1305232493071736834
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www.bmj.com www.bmj.com
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Siemieniuk, R. A., Bartoszko, J. J., Ge, L., Zeraatkar, D., Izcovich, A., Kum, E., Pardo-Hernandez, H., Rochwerg, B., Lamontagne, F., Han, M. A., Liu, Q., Agarwal, A., Agoritsas, T., Chu, D. K., Couban, R., Darzi, A., Devji, T., Fang, B., Fang, C., … Brignardello-Petersen, R. (2020). Drug treatments for covid-19: Living systematic review and network meta-analysis. BMJ, 370. https://doi.org/10.1136/bmj.m2980
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www.reuters.com www.reuters.com
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Exclusive: In Russia, a black market for HIV drug to try on coronavirus. (2020, April 20). Reuters. https://www.reuters.com/article/us-health-coronavirus-russia-hiv-exclusi-idUSKBN2220W1
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Postdocs in crisis: Science cannot risk losing the next generation. (2020). Nature, 585(7824), 160–160. https://doi.org/10.1038/d41586-020-02541-9
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www.thelancet.com www.thelancet.com
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Chatterjee, Patralekha. ‘Is India Missing COVID-19 Deaths?’ The Lancet 396, no. 10252 (5 September 2020): 657. https://doi.org/10.1016/S0140-6736(20)31857-2.
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www.hsph.harvard.edu www.hsph.harvard.edu
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Boston, 677 Huntington Avenue, & Ma 02115 +1495‑1000. (2020, March 4). Coronavirus (COVID-19): Press Conference with Marc Lipsitch, 03/04/20. News. https://www.hsph.harvard.edu/news/features/coronavirus-covid-19-press-conference-with-marc-lipsitch-03-04-20/
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www.thelancet.com www.thelancet.com
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Yelin, D., Wirtheim, E., Vetter, P., Kalil, A. C., Bruchfeld, J., Runold, M., Guaraldi, G., Mussini, C., Gudiol, C., Pujol, M., Bandera, A., Scudeller, L., Paul, M., Kaiser, L., & Leibovici, L. (2020). Long-term consequences of COVID-19: Research needs. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30701-5
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- Aug 2020
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annehelen.substack.com annehelen.substack.com
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Petersen, A. H. (n.d.). Between f**ked and a hard place. Retrieved August 30, 2020, from https://annehelen.substack.com/p/between-fked-and-a-hard-place
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hscif.org hscif.org
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Humanities & Social Change (2020, April 30). Cultures of expertise and politics of behavioral science: A conversation with Erik Angner. https://hscif.org/cultures-of-expertise-and-politics-of-behavioral-science-a-conversation-with-erik-angner/
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Hoffman, J. (2020, August 16). Fearing a ‘Twindemic,’ Health Experts Push Urgently for Flu Shots. The New York Times. https://www.nytimes.com/2020/08/16/health/coronavirus-flu-vaccine-twindemic.html
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Baker, S. R., Bloom, N., & Terry, S. J. (2020). Using Disasters to Estimate the Impact of Uncertainty (Working Paper No. 27167; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27167
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elemental.medium.com elemental.medium.com
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ScD, N. N. A. (2020, June 11). A Guide to Understanding Pandemic Predictions. Medium. https://elemental.medium.com/a-guide-to-understanding-pandemic-predictions-8ae3439b8224
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csbs.research.illinois.edu csbs.research.illinois.edu
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Understanding Contemporary Challenges – Center for Social & Behavioral Science. (n.d.). Retrieved August 26, 2020, from https://csbs.research.illinois.edu/understandingcontemporarychallenges/
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www.indiebound.org www.indiebound.org
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The Lady’s Handbook for Her Mysterious Illness: A Memoir | IndieBound.org. (n.d.). Retrieved August 26, 2020, from https://www.indiebound.org/book/9780385534079
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psyarxiv.com psyarxiv.com
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Fife, D., Lung, M., Sullivan, N., & Young, C. (2020). When Values Collide: Why Scientists Argue About Open Science and How to Move Forward [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/q9d28
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riskytalk.libsyn.com riskytalk.libsyn.com
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Risky Talk: Communicating Evidence in a Pandemic. (n.d.). Retrieved August 24, 2020, from https://riskytalk.libsyn.com/communicating-evidence-in-a-pandemic
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www.forbes.com www.forbes.com
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Togoh, I. (n.d.). After Hydroxychloroquine, Trump Is Now Seeking To Get Another Unproven Drug Approved By The FDA: Report. Forbes. Retrieved August 22, 2020, from https://www.forbes.com/sites/isabeltogoh/2020/08/17/after-hydroxychloroquine-trump-is-now-seeking-to-get-another-unproven-drug-approved-by-the-fda-report/
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www.ijidonline.com www.ijidonline.com
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Monforte, A. d’Arminio, Tavelli, A., Bai, F., Marchetti, G., & Cozzi-Lepri, A. (2020). Effectiveness of hydroxychloroquine in COVID-19 disease: A done and dusted deal? International Journal of Infectious Diseases, 99, 75–76. https://doi.org/10.1016/j.ijid.2020.07.056
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Ludvigson, S. C., Ma, S., & Ng, S. (2020). Covid19 and the Macroeconomic Effects of Costly Disasters (Working Paper No. 26987; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26987
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www.nber.org www.nber.org
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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
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www.nber.org www.nber.org
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Barnett, M., Buchak, G., & Yannelis, C. (2020). Epidemic Responses Under Uncertainty (Working Paper No. 27289; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27289
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www.nber.org www.nber.org
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Bordo, M. D., Levin, A. T., & Levy, M. D. (2020). Incorporating Scenario Analysis into the Federal Reserve’s Policy Strategy and Communications (Working Paper No. 27369; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27369
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www.nber.org www.nber.org
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Eichenbaum, M. S., Rebelo, S., & Trabandt, M. (2020). The Macroeconomics of Testing and Quarantining (Working Paper No. 27104; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27104
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www.nber.org www.nber.org
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Diebold, Francis X. ‘Real-Time Real Economic Activity: Exiting the Great Recession and Entering the Pandemic Recession’. Working Paper. Working Paper Series. National Bureau of Economic Research, July 2020. https://doi.org/10.3386/w27482.
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www.thelancet.com www.thelancet.com
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Kalk, A., & Schultz, A. (2020). SARS-CoV-2 epidemic in African countries—Are we losing perspective? The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30563-6
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covid-19.iza.org covid-19.iza.org
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Economic Policies for COVID-19. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 7, 2020, from https://covid-19.iza.org/publications/pp156/
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Altig, D., Baker, S. R., Barrero, J. M., Bloom, N., Bunn, P., Chen, S., Davis, S. J., Leather, J., Meyer, B. H., Mihaylov, E., Mizen, P., Parker, N. B., Renault, T., Smietanka, P., & Thwaites, G. (2020). Economic Uncertainty Before and During the COVID-19 Pandemic (Working Paper No. 27418; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27418
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www.nber.org www.nber.org
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Baker, S. R., Bloom, N., Davis, S. J., & Terry, S. J. (2020). COVID-Induced Economic Uncertainty (Working Paper No. 26983; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26983
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covid-19.iza.org covid-19.iza.org
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An Economic Model of the COVID-19 Epidemic: The Importance of Testing and Age-Specific Policies. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13265/
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covid-19.iza.org covid-19.iza.org
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Unemployment Paths in a Pandemic Economy. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 29, 2020, from https://covid-19.iza.org/publications/dp13294/
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covid-19.iza.org covid-19.iza.org
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Sudden Stop: When Did Firms Anticipate the Potential Consequences of COVID-19?. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 29, 2020, from https://covid-19.iza.org/publications/dp13457/
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- Jul 2020
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Ellison, G. (2020). Implications of Heterogeneous SIR Models for Analyses of COVID-19 (Working Paper No. 27373; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27373
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www.nber.org www.nber.org
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Liu, L., Moon, H. R., & Schorfheide, F. (2020). Panel Forecasts of Country-Level Covid-19 Infections (Working Paper No. 27248; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27248
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www.sciencemag.org www.sciencemag.org
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MadhusoodananJul. 20, J., 2020, & Pm, 5:05. (2020, July 20). ‘Ethically troubling.’ University reopening plans put professors, students on edge. Science | AAAS. https://www.sciencemag.org/careers/2020/07/ethically-troubling-university-reopening-plans-put-professors-students-edge
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Starominski-Uehara, M. (2020). Brief Communication Analysis of Brazilian Presidency during COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/jr7eq
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osf.io osf.io
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Starominski-Uehara, M. (2020). Governance in Crisis: Institutionalizing Reflective Report to Guide Decision Making Under Uncertainty [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/y3nsa
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docs.google.com docs.google.com
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COVID-19 Social Science Tracker - Google Sheets
Tags
- is:other
- infection
- healthcare
- sheets
- social media
- social norm
- misinformation
- medicine
- COVID-19
- lang:en
- conspiracy theory
- behavior
- research
- unofficial
- international
- analysis
- social distancing
- tracker
- publication
- social science
- isolation
- spreadsheet
- data collection
- preprint
- community
- government
- uncertainty
- policy
- mental health
Annotators
URL
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arxiv.org arxiv.org
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Broniatowski, D. A., Kerchner, D., Farooq, F., Huang, X., Jamison, A. M., Dredze, M., & Quinn, S. C. (2020). The COVID-19 Social Media Infodemic Reflects Uncertainty and State-Sponsored Propaganda. ArXiv:2007.09682 [Physics]. http://arxiv.org/abs/2007.09682
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osf.io osf.io
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Bernardi, F., Cozzani, M., & Zanasi, F. (2020). Social inequality and the risk of being in a nursing home during the COVID-19 pandemic [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/ksefy
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www.youtube.com www.youtube.com
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McConnell, J. (2020, June 11). COVID-19: The current situation and prospects for the UK and the world. Aga Khan Foundation. https://www.youtube.com/watch?v=6VK_2uCA76s
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twitter.com twitter.com
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New Scientist on Twitter: “Thread on #covid19 trends in the US: Coronavirus infections have surged since the start of June from around 20,000 new cases a day to over 60,000. (1/4) https://t.co/wVFwHWczYR” / Twitter. (n.d.). Twitter. Retrieved July 19, 2020, from https://twitter.com/newscientist/status/1283387188391149571
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twitter.com twitter.com
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Carl T. Bergstrom on Twitter: “1. In short, no. This is going to take a detailed thread to unpack.” / Twitter. (n.d.). Twitter. Retrieved July 18, 2020, from https://twitter.com/CT_Bergstrom/status/1270226183485976584
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news.sky.com news.sky.com
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Coronavirus: The inside story of how UK’s “chaotic” testing regime “broke all the rules.” (n.d.). Sky News. Retrieved July 17, 2020, from https://news.sky.com/story/coronavirus-the-inside-story-of-how-uks-chaotic-testing-regime-broke-all-the-rules-12022566
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Bae, J.-M. (2014). The clinical decision analysis using decision tree. Epidemiology and Health, 36. https://doi.org/10.4178/epih/e2014025
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www.youtube.com www.youtube.com
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LSE. (2020, May 13) Behavioural Science in the Context of Great Uncertainty | LSE Online Event. https://www.youtube.com/watch?v=2X0aTk3f4oI&feature=youtu.be
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colab.plymouthcreate.net colab.plymouthcreate.net
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This model is the most flexible and open-ended of the four; your goal as an instructor is not to design a full-fledged semester of material, activities, and assessments. Rather, your goal is to work with your class to design and become a learning community, working collaboratively and individually towards your determined learning goals. For this to work you should have: a set of possible/preferred learning objectives for your classa library of course materials, preferably with as much as possible in digital formata suggested list of digital tools and technologies that you’re comfortable from with a list of possible assignment/project/assessment ideas that are related to your learning objectivesa willingness to experiment and invite your students into the teaching & learning process. At the onset of class you will need to facilitate a conversation among you and your students about how the class will unfold. This can be done in small groups f2f, via an online communication tool, or in a hybrid mix of both. As a community you should plan on addressing the following: what are our objectives as a learning community? what kind of work could we engage in to meet these objectives? what physical/virtual spaces would we like to work in? how/when do we want to meet in these spaces?how do we want to measure (assess) if an objective has been met?what rules and policies should govern our work? how will we work virtually and respect everyone’s boundaries and personal situations? how will we work f2f and respect public health recommendations and personal situations? You will probably need to spend at least the first 1-2 weeks answering these questions together and then designing a plan for your course. Make sure you and your students talk through various complications: what if the university’s policies about meeting f2f change? what if classes are forced to move entirely virtual/remote? what someone (students or professor!) gets sick?
This is the one for me!!!!
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c
Apologies for highlighting whole swaths of paragraphs but it can't be helped sometimes lol.
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Finally, these are NOT meant to be comprehensive. Instead, imagine these models along a continuum of opportunity. Your challenge is to determine where your courses could fit between and among the proposals.
I'm wondering how much or how little faculty will need to change their curriculum/delivery depending on the various inevitable changes that we can't exactly predict will happen this school year. For those faculty member purposefully switching online, what changes have they made already, and what changes will become necessary in the near future?
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www.youtube.com www.youtube.com
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Communicating statistics, risk and uncertainty in the age of Covid—Prof. David Spiegelhalter. (2020, June 30). https://www.youtube.com/watch?v=Dq7W1l7RptQ&feature=youtu.be
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osf.io osf.io
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Méndez, P. F. (2020). Blue uncertainty: Warding off systemic risks in the Anthropocene – Lessons from COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/z2br5
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twitter.com twitter.com
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Maarten van Smeden on Twitter: “Let’s talk about the ‘risk factors’ for COVID-19 for a moment 1/n” / Twitter. (n.d.). Twitter. Retrieved July 11, 2020, from https://twitter.com/maartenvsmeden/status/1249702560442785794
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news.berkeley.edu news.berkeley.edu
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Calm amid COVID. (2020, April). Berkeley News. Retrieved July 10, 2020, from https://news.berkeley.edu/topics/calm-amid-covid/
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www.medrxiv.org www.medrxiv.org
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Coggon, D., Croft, P., Cullinan, P., & Williams, A. (2020). ASSESSMENT OF WORKERS PERSONAL VULNERABILITY TO COVID-19 USING COVID-AGE. MedRxiv, 2020.05.21.20108969. https://doi.org/10.1101/2020.05.21.20108969
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psyarxiv.com psyarxiv.com
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Miller, J. G., Chahal, R., Kirshenbaum, J. S., Ho, T. C., Gifuni, A. J., & Gotlib, I. (2020). Heart Rate Variability Moderates the Link Between COVID-19 Stress and Emotional Problems in Adolescents: Evidence for Differential Susceptibility [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/mp7wt
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psyarxiv.com psyarxiv.com
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Chatterjee, A., & Chatterjee, A. (2020). Managing through uncertain times: A study to understand the effects of conducting socio-academic life online during COVID-19. https://doi.org/10.31234/osf.io/vcbrw
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www.nytimes.com www.nytimes.com
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Mandavilli, A. (2020, July 4). 239 Experts With One Big Claim: The Coronavirus Is Airborne. The New York Times. https://www.nytimes.com/2020/07/04/health/239-experts-with-one-big-claim-the-coronavirus-is-airborne.html
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