Social physics

M Jusup, P Holme, K Kanazawa, M Takayasu, I Romić… - Physics Reports, 2022 - Elsevier
Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

The impacts of ocean acidification on marine ecosystems and reliant human communities

SC Doney, DS Busch, SR Cooley… - Annual Review of …, 2020 - annualreviews.org
Racism. Sexism. Heterosexism. Gender binarism. Together, they comprise intimately
harmful, distinct, and entangled societal systems of self-serving domination and privilege …

Inequality in household adaptation to schooling shocks: Covid-induced online learning engagement in real time

A Bacher-Hicks, J Goodman, C Mulhern - Journal of public economics, 2021 - Elsevier
We use high frequency internet search data to study in real time how US households sought
out online learning resources as schools closed due to the Covid-19 pandemic. By April …

Measuring objective and subjective well-being: dimensions and data sources

V Voukelatou, L Gabrielli, I Miliou, S Cresci… - International Journal of …, 2021 - Springer
Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …

The COVID-19 pandemic disrupted both school bullying and cyberbullying

A Bacher-Hicks, J Goodman, JG Green… - American Economic …, 2022 - aeaweb.org
One-fifth of US high school students report being bullied each year. We use internet search
data for real-time tracking of bullying patterns as COVID-19 disrupted in-person schooling …

[HTML][HTML] Social media-and internet-based disease surveillance for public health

AE Aiello, A Renson, P Zivich - Annual review of public health, 2020 - ncbi.nlm.nih.gov
Disease surveillance systems are a cornerstone of public health tracking and prevention.
This review addresses the use, promise, perils, and ethics of social media and internet …

Prediction of number of cases of 2019 novel coronavirus (COVID-19) using social media search index

L Qin, Q Sun, Y Wang, KF Wu, M Chen… - International journal of …, 2020 - mdpi.com
Predicting the number of new suspected or confirmed cases of novel coronavirus disease
2019 (COVID-19) is crucial in the prevention and control of the COVID-19 outbreak. Social …

An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time

NE Kogan, L Clemente, P Liautaud, J Kaashoek… - Science …, 2021 - science.org
Given still-high levels of coronavirus disease 2019 (COVID-19) susceptibility and
inconsistent transmission-containing strategies, outbreaks have continued to emerge across …

Combining search, social media, and traditional data sources to improve influenza surveillance

M Santillana, AT Nguyen, M Dredze… - PLoS computational …, 2015 - journals.plos.org
We present a machine learning-based methodology capable of providing real-time
(“nowcast”) and forecast estimates of influenza activity in the US by leveraging data from …

Artificial intelligence–enabled public health surveillance—from local detection to global epidemic monitoring and control

D Zeng, Z Cao, DB Neill - Artificial intelligence in medicine, 2021 - Elsevier
Artificial intelligence (AI) techniques have been widely applied to infectious disease
outbreak detection and early warning, trend prediction, and public health response …