TY - JOUR
T1 - Crowds, Citizens, and Science
T2 - A Multi-dimensional Framework and Agenda for Future Research
AU - Franzoni, Chiara
AU - Poetz, Marion
AU - Sauermann, Henry
PY - 2022/2
Y1 - 2022/2
N2 - Research projects that actively involve ‘crowds’ or non-professional ‘citizen scientists’ are attracting growing attention. Such projects promise to increase scientific productivity while also connecting science with the general public. We make three contributions. First, we argue that the largely separate literatures on ‘Crowd Science’ and ‘Citizen Science’ investigate strongly overlapping sets of projects but take different disciplinary lenses. Closer integration can enrich research on Crowd and Citizen Science (CS). Second, we propose a framework to profile projects with respect to four types of crowd contributions: activities, knowledge, resources, and decisions. This framework also accommodates machines and algorithms, which increasingly complement or replace professional and non-professional researchers as a third actor. Finally, we outline a research agenda anchored on important underlying organisational challenges of CS projects. This agenda can advance our understanding of Crowd and Citizen Science, yield practical recommendations for project design, and contribute to the broader organisational literature.
AB - Research projects that actively involve ‘crowds’ or non-professional ‘citizen scientists’ are attracting growing attention. Such projects promise to increase scientific productivity while also connecting science with the general public. We make three contributions. First, we argue that the largely separate literatures on ‘Crowd Science’ and ‘Citizen Science’ investigate strongly overlapping sets of projects but take different disciplinary lenses. Closer integration can enrich research on Crowd and Citizen Science (CS). Second, we propose a framework to profile projects with respect to four types of crowd contributions: activities, knowledge, resources, and decisions. This framework also accommodates machines and algorithms, which increasingly complement or replace professional and non-professional researchers as a third actor. Finally, we outline a research agenda anchored on important underlying organisational challenges of CS projects. This agenda can advance our understanding of Crowd and Citizen Science, yield practical recommendations for project design, and contribute to the broader organisational literature.
KW - Citizen science
KW - Crowd science
KW - Human-machine integration
KW - Open innovation in science
KW - Citizen science
KW - Crowd science
KW - Human-machine integration
KW - Open innovation in science
U2 - 10.1080/13662716.2021.1976627
DO - 10.1080/13662716.2021.1976627
M3 - Journal article
SN - 1366-2716
VL - 29
SP - 251
EP - 284
JO - Industry and Innovation
JF - Industry and Innovation
IS - 2
ER -