blockchain uses method to batch transactions into block. Establishing which node can submit a block to the chain is the blockchain consensus model or consensus algorithm.

Same old problem: abstracting on variables we understand and control, losing sight of the uncontrolled variables that constitute the real environment.

optimal trajectories are very sensitive to the models.

The claim of this paper is that the current (2022) Integrated Assessment Models (IAMs) used by IPCC and therefore policymakers is inadequate due to shortcomings in predicting risk. The paper offers the analytic foundations for an alternative model.

This is governance scale adaptation of the Duluth model of domestic abuse applied to abusive governance.

The 6 Business Objectives of SaaS

The main business objectives of a company are to address the problems and needs of their customers with products or services that are a solution for them. The importance of technology in our daily lives means that we simply cannot ignore SaaS when it comes to running our business.

lack of common learning goals among the student

ReconfigBehSci. (2022, January 24). @STWorg @FraserNelson @GrahamMedley no worse- he took Medley’s comment that Sage model the scenarios the government asks them to consider to mean that they basically set out to find the justification for what the government already wanted to do. Complete failure to distinguish between inputs and outputs of a model [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1485625862645075970

ReconfigBehSci [@SciBeh]. (2021, November 1). RT @HJWesteneng: Growth advantage and extrapolation of AY.4.2 based on Sanger Institute data in the UK (multilevel multinomial model). Base… [Tweet]. Twitter. https://twitter.com/SciBeh/status/1455467011509731332

Adam Kucharski [@adamjkucharski]. (2021, September 8). Some tips on interpreting models (from an @SMC_London talk I gave a few months ago): Https://t.co/3NlRN6q6gb [Tweet]. Twitter. https://twitter.com/adamjkucharski/status/1435650792082575360

McDiarmid, A. D., Tullett, A. M., Whitt, C. M., Vazire, S., Smaldino, P. E., & Stephens, J. E. (2021). Psychologists update their beliefs about effect sizes after replication studies. Nature Human Behaviour, 5(12), 1663–1673. https://doi.org/10.1038/s41562-021-01220-7

ReconfigBehSci. (2020, November 5). @ToddHorowitz3 2/2 so I would prefer to treat this as an opportunity for empirical observation and learning. Evaluation should focus on trying to assess actual contribution, not a priori judgments. [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1324367278352355330

ReconfigBehSci. (2020, November 5). A prediction to keep an eye on.. [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1324347728172847107

Dr Nisreen Alwan 🌻. (2020, March 14). Our letter in the Times. ‘We request that the government urgently and openly share the scientific evidence, data and modelling it is using to inform its decision on the #Covid_19 public health interventions’ @richardhorton1 @miriamorcutt @devisridhar @drannewilson @PWGTennant https://t.co/YZamKCheXH [Tweet]. @Dr2NisreenAlwan. https://twitter.com/Dr2NisreenAlwan/status/1238726765469749248

(7) ReconfigBehSci on Twitter: “@ToddHorowitz3 probably- and I think there are many interesting questions around why he is there and whether he should be there. But to answer those properly, looking at the performance of the model seems important and interesting to me- that is all I am saying” / Twitter. (n.d.). Retrieved March 6, 2021, from https://twitter.com/SciBeh/status/1324389147050569734

Delz, Louise Aurora Katharina, Keith Gaynor, Ellen Somers, Rachel O. Connor, and Luisa Schmieder. ‘A CONFIRMATORY FACTOR ANALYSIS OF A COGNITIVE MODEL OF COVID-19 RELATED DISTRESS’. PsyArXiv, 18 February 2022. https://doi.org/10.31234/osf.io/zmf5d.

Model deployment in Azure ML

Strickland, J. C., Stoops, W., Banks, M., & Gipson-Reichardt, C. D. (2022). Logical Fallacies and Misinterpretations that Hinder Progress in Translational Addiction Neuroscience. PsyArXiv. https://doi.org/10.31234/osf.io/frd5e

Liu, C., Yang, Y., Chen, B., Cui, T., Shang, F., & Li, R. (2022). Revealing spatio-temporal interaction patterns behind complex cities. ArXiv:2201.02117 [Physics]. http://arxiv.org/abs/2201.02117

Business strategy alignment and the secrets of strategic planning https://en.itpedia.nl/2022/01/02/business-strategie-alignment-en-de-geheimen-van-strategische-planning/ The Business Strategy stems from a detailed strategic planning process. However, the question we want to answer in this article is whether we can execute multiple strategies side by side while they do not interfere with each other. We compare multiple strategies for business, information provision and IT and focus on Strategic planning.

Sefik, E., Israelow, B., Mirza, H., Zhao, J., Qu, R., Kaffe, E., Song, E., Halene, S., Meffre, E., Kluger, Y., Nussenzweig, M., Wilen, C. B., Iwasaki, A., & Flavell, R. A. (2021). A humanized mouse model of chronic COVID-19. Nature Biotechnology, 1–15. https://doi.org/10.1038/s41587-021-01155-4

Kan, U., Feng, M., & Porter, M. A. (2021). An Adaptive Bounded-Confidence Model of Opinion Dynamics on Networks. ArXiv:2112.05856 [Physics]. http://arxiv.org/abs/2112.05856

Bagheri, G., Thiede, B., Hejazi, B., Schlenczek, O., & Bodenschatz, E. (2021). An upper bound on one-to-one exposure to infectious human respiratory particles. Proceedings of the National Academy of Sciences, 118(49). https://doi.org/10.1073/pnas.2110117118

Sloman, S. A. (2021). How Do We Believe? Topics in Cognitive Science, 0(2021), 1–14. https://doi.org/10.1111/tops.12580

Al-Hasan, A., Khuntia, J., & Yim, D. (2021). Does Seeing What Others Do Through Social Media Influence Vaccine Uptake and Help in the Herd Immunity Through Vaccination? A Cross-Sectional Analysis. Frontiers in Public Health, 9, 1668. https://doi.org/10.3389/fpubh.2021.715931

Adler, J. M., & Wang, K. (2021). Narrative identity among people with disabilities during the COVID-19 pandemic: The interdependent self. PsyArXiv. https://doi.org/10.31234/osf.io/6724x

Q:: What is a personality trait?<br> A::

A trustless conditional reward model for production of common goods.

A proposal to use decentralized blockchain to make large scale coordination possible.

so I need to use ff19SB and OPC water in the future???

Pennycook, G., & Rand, D. (2021). Nudging social media sharing towards accuracy. PsyArXiv. https://doi.org/10.31234/osf.io/tp6vy

Home - COVID 19 scenario model hub. (n.d.). Retrieved July 5, 2021, from https://covid19scenariomodelinghub.org/

“Mental models are one of the most important concepts in human–computer interaction (HCI).”

— Nielsen Norman Group

Stop Reset Go

How do we engage in bottom-up whole system change? Perhaps we need a model for understanding who we are serving that transcends the bias and limitations of personas as they are used in user experience design (UX).

What is a more holistic model for understanding human perceptions, motivations, and behaviours?

I have not found the code or Readme file

Weiss, D. J., & Shanteau, J. (2021). The futility of decision making research. Studies in History and Philosophy of Science Part A, 90, 10–14. https://doi.org/10.1016/j.shpsa.2021.08.018

There’s hardly a thing that impacts your software-as-a-service product revenue more than SaaS pricing models. Still, for many companies choosing the right monetization strategy is no easy feat.

To shed some light on this matter, we have prepared a detailed guide on the most popular SaaS pricing strategies. You will find out the pros and cons of each option and learn how to adopt them properly from well-known SaaS companies.

Finally, we will discuss the required steps to take when choosing between different SaaS business models.

Impact of Social Sciences. “How Models Change the World – and What We Should Do about It,” August 20, 2021. https://blogs.lse.ac.uk/impactofsocialsciences/2021/08/20/how-models-change-the-world-and-what-we-should-do-about-it/.

Winthrop believed that the acquisition of wealth and profit was acceptable so long as it was done in the glory of God and for the common good. In other words, he justified the acquisition of wealth in a religious society that it was the duty of members in a society to band together to correct the inequality put forth by God. The act of charity was portrayed as a service to God. He also believed that excessive wealth lead people astray from God.

Winthrop addressed wealth in "A Model of Christian Clarity" because he called for members of his community so they could establish successful colonies in the face of numerous hardships. This was because many were not willing to share their wealth with others or cooperate. He wanted to place the interests of the community over the interests of the individual.

Citations: Wood, Dr. Andrew. “Summary of John Winthrop’s ‘Model of Christian Charity.’” San Jose State University COMM 149 Rhetoric and Public Life, www.sjsu.edu/faculty/wooda/s149/149syllabus5summary.html. Accessed 8 Sept. 2021.

Constant, A., Conserve, D. F., Gallopel-Morvan, K., & Raude, J. (2021). Acceptance of COVID-19 preventive measures as a tradeoff between health and social outcomes. PsyArXiv. https://doi.org/10.31234/osf.io/ytz8p

Sadus, K., Göttmann, J., & Schubert, A.-L. (2021). Predictors of stockpiling behavior during the COVID-19 pandemic in Germany [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/2m9nu

Wang, B., Gou, M., Guo, Y., Tanaka, G., & Han, Y. (2020). Network structure-based interventions on spatial spread of epidemics in metapopulation networks. Physical Review E, 102(6), 062306. https://doi.org/10.1103/PhysRevE.102.062306

ReconfigBehSci on Twitter: ‘I just had cause to revisit the Friston modelling paper from Sept: Https://t.co/QOTC8fXV0n 1/n’ / Twitter. (n.d.). Retrieved 26 February 2021, from https://twitter.com/SciBeh/status/1336277391233208320

Lee Kennedy-Shaffer. (2021, May 6). .@rebeccajk13 and @mlipsitch showed how to use that to estimate efficacy against prevalent infection (https://t.co/LeXxqcumGS). [Tweet]. @LeeKShaffer. https://twitter.com/LeeKShaffer/status/1390322501817880581

Yasseri, T., & Menczer, F. (2021). Can the Wikipedia moderation model rescue the social marketplace of ideas? ArXiv:2104.13754 [Physics]. http://arxiv.org/abs/2104.13754

Ingale, M., & Shekatkar, S. M. (2020). Resource dependency and survivability in complex networks. Physical Review E, 102(6), 062304. https://doi.org/10.1103/PhysRevE.102.062304

Ortiz, E., & Serrano, M. Á. (2021). Multiscale opinion dynamics on real networks. ArXiv:2107.06656 [Physics]. http://arxiv.org/abs/2107.06656

Romero, P., Mikiya, Y., Nakatsuma, T., Fitz, S., & Koch, T. (2021). Modelling Personality Change During Extreme Exogenous Conditions. PsyArXiv. https://doi.org/10.31234/osf.io/rtmjw

How can we tell what software or platform is used such as for this historical site? https://www.annefrank.org/en/anne-frank/secret-annex/

Iacob, C. I., Ionescu, D., Avram, E., & Cojocaru, D. (2021). COVID-19 Pandemic Worry and Vaccination Intention: The Mediating Role of the Health Belief Model Components. Frontiers in Psychology, 12, 674018. https://doi.org/10.3389/fpsyg.2021.674018

Padilla, L., Hosseinpour, H., Fygenson, R., Howell, J., Chunara, R., & Bertini, E. (2021). Effects of COVID-19 Uncertainty Visualizations on Novice Risk Estimates. PsyArXiv. https://doi.org/10.31234/osf.io/6axc7

Palminteri, S. (2021). Choice-confirmation bias and gradual perseveration in human reinforcement learning [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/dpqj6

Crocker-Buque, T., & Mounier-Jack, S. (2018). Vaccination in England: A review of why business as usual is not enough to maintain coverage. BMC Public Health, 18(1), 1351. https://doi.org/10.1186/s12889-018-6228-5

the Guardian. “How Good Are We at Predicting the Pandemic? | David Spiegelhalter & Anthony Masters,” May 9, 2021. http://www.theguardian.com/theobserver/commentisfree/2021/may/09/how-good-are-we-at-predicting-pandemic.

Callaway, E. (2021). Mice with severe COVID symptoms could speed vaccine effort. Nature. https://doi.org/10.1038/d41586-021-01251-0

Geng, X., Katul, G. G., Gerges, F., Bou-Zeid, E., Nassif, H., & Boufadel, M. C. (2021). A kernel-modulated SIR model for Covid-19 contagious spread from county to continent. Proceedings of the National Academy of Sciences, 118(21). https://doi.org/10.1073/pnas.2023321118

Homology model built by SwissModel is minimized by OpenMM

Buitendijk, S., Ward, H., Shimshon, G., Sam, A. H., Sharma, D., & Harris, M. (2020). COVID-19: An opportunity to rethink global cooperation in higher education and research. BMJ Global Health, 5(7), e002790. https://doi.org/10.1136/bmjgh-2020-002790

Anthony Costello on Twitter. (n.d.). Twitter. Retrieved 1 March 2021, from https://twitter.com/globalhlthtwit/status/1323747414923202562

Aleta, A., Martín-Corral, D., Pastore y Piontti, A., Ajelli, M., Litvinova, M., Chinazzi, M., Dean, N. E., Halloran, M. E., Longini Jr, I. M., Merler, S., Pentland, A., Vespignani, A., Moro, E., & Moreno, Y. (2020). Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19. Nature Human Behaviour, 1–8. https://doi.org/10.1038/s41562-020-0931-9

Special Track 3. (n.d.). Data for Policy CIC. Retrieved 8 March 2021, from https://dataforpolicy.org/data-fof-policy-2021/special-track-3/

Maarten van Smeden on Twitter. (n.d.). Twitter. Retrieved 4 March 2021, from https://twitter.com/MaartenvSmeden/status/1328093246829064192

Covid One Year Ago. (2021, March 5). Modelling assumes that suppression measures can be sustained for a maximum of 3-4 months, so introducing early ’lockdown’-style measures to stop the disease is judged likely to lead only to a more deadly resurgence later on when they are lifted https://t.co/QRxgRj3jW3 https://t.co/pbqTAVGDfG [Tweet]. @YearCovid. https://twitter.com/YearCovid/status/1367778417437929472

Peter Sheridan Dodds. (2021, March 7). The map is not the territory. And the mapmakers are not the map. [Tweet]. @peterdodds. https://twitter.com/peterdodds/status/1368559285182099463

Cepelewicz, J. (n.d.). The Hard Lessons of Modeling the Coronavirus Pandemic. Quanta Magazine. Retrieved February 11, 2021, from https://www.quantamagazine.org/the-hard-lessons-of-modeling-the-coronavirus-pandemic-20210128/

Piotrowska, M. J., Sakowski, K., Karch, A., Tahir, H., Horn, J., Kretzschmar, M. E., & Mikolajczyk, R. T. (2020). Modelling pathogen spread in a healthcare network: Indirect patient movements. PLOS Computational Biology, 16(11), e1008442. https://doi.org/10.1371/journal.pcbi.1008442