TY - JOUR
T1 - Ten simple rules for measuring the impact of workshops
AU - Sufi, Shoaib
AU - Nenadic, Aleksandra
AU - Silva, Raniere
AU - Duckles, Beth
AU - Simera, Iveta
AU - de Beyer, Jennifer A.
AU - Struthers, Caroline
AU - Nurmikko-Fuller, Terhi
AU - Bellis, Louisa
AU - Miah, Wadud
AU - Wilde, Adriana
AU - Emsley, Iain
AU - Philippe, Olivier
AU - Balzano, Melissa
AU - Coelho, Sara
AU - Ford, Heather
AU - Jones, Catherine
AU - Higgins, Vanessa
N1 - SS, AN, RS, IE, and OP acknowledge the support of EPSRC, BBSRC and ESRC Grant EP/N006410/1 for the UK Software Sustainability Institute, http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/N006410/1. IS, CS, and JdB acknowledges support from Cancer Research UK (grant C5529/A16895).
PY - 2018/8/30
Y1 - 2018/8/30
N2 - Workshops are used to explore a specific topic, transfer knowledge, solve identified problems or create something new. In funded research projects and other research endeavours, workshops are the mechanism to gather the wider project, community or interested people together around a particular topic. However, natural questions arise: how do we measure the impact of these workshops? Do we know whether they are meeting the goals and objectives we set for them? What indicators should we use? In response to these questions, this paper will outline rules that will improve the measurement of the impact of workshops.
AB - Workshops are used to explore a specific topic, transfer knowledge, solve identified problems or create something new. In funded research projects and other research endeavours, workshops are the mechanism to gather the wider project, community or interested people together around a particular topic. However, natural questions arise: how do we measure the impact of these workshops? Do we know whether they are meeting the goals and objectives we set for them? What indicators should we use? In response to these questions, this paper will outline rules that will improve the measurement of the impact of workshops.
U2 - 10.1371/journal.pcbi.1006191
DO - 10.1371/journal.pcbi.1006191
M3 - Editorial
SN - 1553-734X
VL - 14
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 8
M1 - e1006191
ER -