How does idea density influence the rate of creativity?

What are the thermodynamics of creativity? I've probably got enough material for a significant book chapter if not perhaps a book on this topic.

May need a more public friendly name. Burning Creativity?

One has to compare all the factors. Fossil fuels are dense but are nonrenewable. Once installed, renewables continue generating as long as the infrastructure is intact. Extending the lifetime of the infrastructure increases the cost competitiveness further. What is the net energy produced by low energy density renewables over its lifetime and how does it then compare with high density fossil fuels?

‘Capitalizing on skepticism’: How the coronavirus has exposed us once again. (2022, February 16). The Seattle Times. https://www.seattletimes.com/seattle-news/capitalizing-on-skepticism-how-the-coronavirus-has-exposed-us-once-again/

Fischer, O., Jeitziner, L., & Wulff, D. U. (2021). Affect in science communication: A data-driven analysis of TED talks. PsyArXiv. https://doi.org/10.31234/osf.io/28yc5

Sy, Karla Therese L., Laura F. White, and Brooke E. Nichols. ‘Population Density and Basic Reproductive Number of COVID-19 across United States Counties’. PLOS ONE 16, no. 4 (21 April 2021): e0249271. https://doi.org/10.1371/journal.pone.0249271.

So combine the verifiability of all:

• Records
• Documents
• Agreements and
• Transactions that can be made between individuals as a new normal and you can see how 4th Density realities can shape us.

This makes me wonder...could this be a characteristic of 4th density? A type of openness where ALL "bad acting" is exposed to all and thereby diminished? Talk about the power of positive peer pressure!

Florida, R & Mellander, C. (2020) The Geography of COVID-19 in Sweden. Working Paper Series in Economics and Institutions of Innovation, Royal Institute of Technology.

COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13757/

Carozzi, F., Provenzano, S., Roth, S. (2020). Urban Density and Covid-19. Retrieved from http://cep.lse.ac.uk/pubs/download/dp1711.pdf

Carl, N. (2020). An Analysis of COVID-19 Mortality at the Local Authority Level in England. https://doi.org/10.31235/osf.io/dmc2v

Sharkey, P., & Wood, G. (2020). The Causal Effect of Social Distancing on the Spread of SARS-CoV-2 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/hzj7a

Bisin, A., & Moro, A. (2020). Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses (Working Paper No. 27590; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27590

Kuchler, T., Russel, D., & Stroebel, J. (2020). The Geographic Spread of COVID-19 Correlates with Structure of Social Networks as Measured by Facebook (Working Paper No. 26990; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26990

Desmet, K., & Wacziarg, R. (2020). Understanding Spatial Variation in COVID-19 across the United States (Working Paper No. 27329; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27329

Partial Lockdown and the Spread of COVID-19: Lessons from the Italian Case. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13375/

Urban Density and COVID-19. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 30, 2020, from https://covid-19.iza.org/publications/dp13440/

Akbarpour, M., Cook, C., Marzuoli, A., Mongey, S., Nagaraj, A., Saccarola, M., Tebaldi, P., Vasserman, S., & Yang, H. (2020). Socioeconomic Network Heterogeneity and Pandemic Policy Response (Working Paper No. 27374; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27374

Cho, S. J., Lee, J. Y., & Winters, J. V. (2020). Employment Impacts of the COVID-19 Pandemic across Metropolitan Status and Size. IZA Discussion Paper, 13468.

Cruz, C. J. P., Ganly, R., Li, Z., & Gietel-Basten, S. (2020). Imported cases, community action, policy and institutional systems drive Hong Kong’s COVID-19 experience [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/5zuv7

Jeffrey, B., Walters, C. E., Ainslie, K. E. C., Eales, O., Ciavarella, C., Bhatia, S., Hayes, S., Baguelin, M., Boonyasiri, A., Brazeau, N. F., Cuomo-Dannenburg, G., FitzJohn, R. G., Gaythorpe, K., Green, W., Imai, N., Mellan, T. A., Mishra, S., Nouvellet, P., Unwin, H. J. T., … Riley, S. (2020). Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK. Wellcome Open Research, 5, 170. https://doi.org/10.12688/wellcomeopenres.15997.1

Jul 2, N. H. / P. (2020, July 2). Urban density not linked to higher coronavirus infection rates. The Hub. https://hub.jhu.edu/2020/07/02/urban-density-not-linked-to-higher-covid-19-infection-rates/

Henry Grabar on Twitter: “I hope the pundits who said that New Yorkers got Covid because of density, the subway, or apartment buildings (NY’s own self-serving governor among them!) take a moment to reflect on how much damage that opinion did” / Twitter. (n.d.). Twitter. Retrieved July 17, 2020, from https://twitter.com/henrygrabar/status/1282323146218123266

Grabar, H. (2020, April 17). Nothing About New York’s Outbreak Was Inevitable. Slate Magazine. https://slate.com/business/2020/04/coronavirus-new-york-city-outbreak-blame.html

Kulu, H., & Dorey, P. (2020). Infection Rates from Covid-19 in Great Britain by Geographical Units: A Model-based Estimation from Mortality Data [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/84f3e

Cohen, P. N. (2020). The COVID-19 epidemic in rural U.S. counties. https://doi.org/10.31235/osf.io/pnqrd

Wool, Lauren E, and The International Brain Laboratory. ‘Knowledge across Networks: How to Build a Global Neuroscience Collaboration’. Preprint. PsyArXiv, 14 July 2020. https://doi.org/10.31234/osf.io/f4uaj.

Arif, M., & Sengupta, S. (2020). Nexus between population density and COVID-19 pandemic in the south Indian states: A geo-statistical approach [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/e8nda

Twitter. (n.d.). Twitter. Retrieved June 12, 2020, from https://twitter.com/robertoge/status/1270710014135676928

June 8, G. M. O. published on P. O., & 2020. (n.d.). Density can work post-COVID-19, with good urban planning. Policy Options. Retrieved June 9, 2020, from https://policyoptions.irpp.org/magazines/june-2020/density-can-work-post-covid-19-with-good-urban-planning/

Coronavirus won’t be the end of big cities. (n.d.). Retrieved June 4, 2020, from https://www.centreforlondon.org/blog/the-city-isnt-dead/

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/

Rader, B., Scarpino, S., Nande, A., Hill, A., Reiner, R., Pigott, D., Gutierrez, B., Shrestha, M., Brownstein, J., Castro, M., Tian, H., Pybus, O., & Kraemer, M. U. G. (2020). Crowding and the epidemic intensity of COVID-19 transmission [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.15.20064980

Hickey, M., Chen, D., & Douglas, R. L. (n.d.). What Does Covid-19 Mean for Cities (and Marriages)? (Ep. 410). Freakonomics. Retrieved April 24, 2020, from https://freakonomics.com/podcast/covid-19-cities/

This is really one of the more spicy takes here. KS orbitals having no physical interpretation is often heard in the community, and here is a list of references and evidence that they do have physical significance.

This also seems pretty dense

What we learned about this week - that seems like a pretty dense network