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 …

Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum

JW Ayers, A Poliak, M Dredze, EC Leas… - JAMA internal …, 2023 - jamanetwork.com
Importance The rapid expansion of virtual health care has caused a surge in patient
messages concomitant with more work and burnout among health care professionals …

Social media-and internet-based disease surveillance for public health

AE Aiello, A Renson, P Zivich - Annual review of public health, 2020 - pmc.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 …

Big data in public health: terminology, machine learning, and privacy

SJ Mooney, V Pejaver - Annual review of public health, 2018 - annualreviews.org
The digital world is generating data at a staggering and still increasing rate. While these “big
data” have unlocked novel opportunities to understand public health, they hold still greater …

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 …

[BUKU][B] Digital criminology: Crime and justice in digital society

A Powell, G Stratton, R Cameron - 2018 - taylorfrancis.com
The infusion of digital technology into contemporary society has had significant effects for
everyday life and for everyday crimes. Digital Criminology: Crime and Justice in Digital …

Designing AI using a human-centered approach: Explainability and accuracy toward trustworthiness

JR Schoenherr, R Abbas, K Michael… - … on Technology and …, 2023 - ieeexplore.ieee.org
One of the major criticisms of Artificial Intelligence is its lack of explainability. A claim is made
by many critics that without knowing how an AI may derive a result or come to a given …

Accurate estimation of influenza epidemics using Google search data via ARGO

S Yang, M Santillana, SC Kou - Proceedings of the National Academy of …, 2015 - pnas.org
Accurate real-time tracking of influenza outbreaks helps public health officials make timely
and meaningful decisions that could save lives. We propose an influenza tracking model …