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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Catalysing virtual collaboration
T2 - The experience of the remote TIES working groups
AU - Meis, M.
AU - Pirani, M.
AU - Euan, C.
AU - Castruccio, S.
AU - Simmons, S.
AU - Stroud, J.R.
AU - Blangiardo, M.
AU - Wikle, C.K.
AU - Wheeler, M.
AU - Naumova, E.
AU - Bravo, L.
AU - Miller, C.
AU - Gel, Y.
PY - 2024/9/30
Y1 - 2024/9/30
N2 - AbstractDuring the COVID‐19 pandemic, the idea of collaboration and scientific exchange between members of the scientific community was enhanced by technology. Virtual meetings and work platforms have become common resources to continue generating research, partially replacing instances of joint in‐person work before, during or after a conference. The idea of teleworking played a fundamental role in remote collaboration groups within The International Statistical Society (TIES), a community of interdisciplinary scientists such as statisticians, mathematicians, meteorologists, and biologists, among others working on quantitative methods to enhance solutions to environmental problems. In 2021 the Society launched three working groups with the aim of improving networking across the Society's members and develop creative collaboration, while advancing statistical and computational methods motivated by real‐world driven applications in environmental research. Here, we provide insights from this virtual collaborative initiative.
AB - AbstractDuring the COVID‐19 pandemic, the idea of collaboration and scientific exchange between members of the scientific community was enhanced by technology. Virtual meetings and work platforms have become common resources to continue generating research, partially replacing instances of joint in‐person work before, during or after a conference. The idea of teleworking played a fundamental role in remote collaboration groups within The International Statistical Society (TIES), a community of interdisciplinary scientists such as statisticians, mathematicians, meteorologists, and biologists, among others working on quantitative methods to enhance solutions to environmental problems. In 2021 the Society launched three working groups with the aim of improving networking across the Society's members and develop creative collaboration, while advancing statistical and computational methods motivated by real‐world driven applications in environmental research. Here, we provide insights from this virtual collaborative initiative.
KW - remote
KW - scientific environmental research
KW - working groups
U2 - 10.1002/env.2855
DO - 10.1002/env.2855
M3 - Journal article
VL - 35
JO - Environmetrics
JF - Environmetrics
SN - 1180-4009
IS - 6
M1 - e2855
ER -