Jumping in and Out of the Dirty Water… Learning from Stories while Doing Social Science
Jumping in and Out of the Dirty Water… Learning from Stories while Doing Social Science
复制标题
在脏水里跳进跳出……在做社会科学的同时从故事中学习
DOI:
10.1080/10410236.2019.1580995
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发表时间:
2019
影响因子:
3.9
通讯作者:
Stephens, Keri K.
中科院分区:
文献类型:
--
作者:
Stephens, Keri K.
The pursuit of knowledge surrounding health-related issues during disasters, emergencies, and crises, can be delicate and challenging. Social scientists use a host of research methods to design and execute studies with the goal of making intellectual contributions. During extended field work following Hurricane Harvey in the Greater Houston area, our team collected data – interviews, observations, and private social media – from citizens, emergency responders, and volunteer rescuers. Yet sometimes the data collected, analyzed, and reported in published findings is only part of the research story. The researchers’ experiences, both in the field as well as their past, can serve as personal-sensemaking devices. Integrating these stories can help scientists build trust and collect meaningful data, well beyond what is anticipated. In this essay, I share such examples, related to dirty water: temporarily health-compromised individuals, and responders doing double duty. Below the surface, there are many more opportunities for health communication to make an impact in times of crisis.
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DOI:
--
发表时间:
2018
期刊:
International Conference on Information Systems for Crisis Response and Management
影响因子:
--
作者:
W. R. Smith;K. Stephens;Brett W. Robertson;Jing Li;D. Murthy
通讯作者:
D. Murthy
DOI:
10.1371/currents.dis.31a8995ced321301466db400f1357829
发表时间:
2015-07-01
期刊:
PLoS currents
影响因子:
--
作者:
Ejeta, Luche Tadesse;Ardalan, Ali;Paton, Douglas
通讯作者:
Paton, Douglas
DOI:
--
发表时间:
2012
期刊:
影响因子:
--
作者:
B. Pfetsch;Katrin Voltmer
通讯作者:
Katrin Voltmer
DOI:
--
发表时间:
2018
期刊:
Proceedings of the ... International ISCRAM Conference
影响因子:
--
作者:
Stephens, K. K.;Li, J.;Robertson, B. W.;Smith, W. R.
通讯作者:
Smith, W. R.
DOI:
--
发表时间:
2018
期刊:
Machine learning and applications
影响因子:
--
作者:
O'Neal, A.;Rodgers, B.;Segler, J.;Murthy, D.;Lakuduva, N.;Johnson, M.;& Stephens, K. K.
通讯作者:
& Stephens, K. K.