Comparing Amazon's Mechanical Turk platform to conventional data collection methods in the health and medical research literature

K Mortensen, TL Hughes - Journal of general internal medicine, 2018 - Springer
Background The goal of this article is to conduct an assessment of the peer-reviewed
primary literature with study objectives to analyze Amazon. com's Mechanical Turk (MTurk) …

Conducting clinical research using crowdsourced convenience samples

J Chandler, D Shapiro - Annual review of clinical psychology, 2016 - annualreviews.org
Crowdsourcing has had a dramatic impact on the speed and scale at which scientific
research can be conducted. Clinical scientists have particularly benefited from readily …

Resuscitation education science: educational strategies to improve outcomes from cardiac arrest: a scientific statement from the American Heart Association

A Cheng, VM Nadkarni, MB Mancini, EA Hunt… - Circulation, 2018 - Am Heart Assoc
The formula for survival in resuscitation describes educational efficiency and local
implementation as key determinants in survival after cardiac arrest. Current educational …

Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition

V Dorie, J Hill, U Shalit, M Scott, D Cervone - 2019 - projecteuclid.org
Supplement to “Automated versus Do-It-Yourself Methods for Causal Inference: Lessons
Learned from a Data Analysis Competition”. The online supplement contains the full set of …

How can crowdsourcing help tackle the COVID‐19 pandemic? An explorative overview of innovative collaborative practices

S Vermicelli, L Cricelli, M Grimaldi - R&d Management, 2021 - Wiley Online Library
The COVID‐19 pandemic has caused unprecedented public health and economic crises. As
a response to face the current emergency, science and innovation communities are realizing …

Are Mechanical Turk worker samples representative of health status and health behaviors in the US?

K Walters, DA Christakis, DR Wright - PloS one, 2018 - journals.plos.org
Introduction Amazon's Mechanical Turk (MTurk) is frequently used to administer health-
related surveys and experiments at a low cost, but little is known about its …

Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks

A Melkonyan, T Gruchmann, F Lohmar… - International Journal of …, 2020 - Elsevier
Current trends related to increased sustainability requirements, the application of new digital
technologies, and changes in consumer behavior have disrupted conventional food supply …

Digital diabetes: Perspectives for diabetes prevention, management and research

G Fagherazzi, P Ravaud - Diabetes & metabolism, 2019 - Elsevier
Digital medicine, digital research and artificial intelligence (AI) have the power to transform
the field of diabetes with continuous and no-burden remote monitoring of patients' …

Emerging wireless sensor networks and Internet of Things technologies—Foundations of smart healthcare

G Gardašević, K Katzis, D Bajić, L Berbakov - Sensors, 2020 - mdpi.com
Future smart healthcare systems—often referred to as Internet of Medical Things (IoMT)–will
combine a plethora of wireless devices and applications that use wireless communication …

Enabling the internet of mobile crowdsourcing health things: A mobile fog computing, blockchain and IoT based continuous glucose monitoring system for diabetes …

TM Fernández-Caramés, I Froiz-Míguez… - Sensors, 2019 - mdpi.com
Diabetes patients suffer from abnormal blood glucose levels, which can cause diverse
health disorders that affect their kidneys, heart and vision. Due to these conditions, diabetes …