%0 Journal Article %1 McInerny2014Information %A McInerny, Greg J. %A Chen, Min %A Freeman, Robin %A Gavaghan, David %A Meyer, Miriah %A Rowland, Francis %A Spiegelhalter, David J. %A Stefaner, Moritz %A Tessarolo, Geizi %A Hortal, Joaquin %D 2014 %I Elsevier %J Trends in Ecology & Evolution %K visualisation climate communication policy %N 3 %P 148--157 %R 10.1016/j.tree.2014.01.003 %T Information visualisation for science and policy: engaging users and avoiding bias %U http://dx.doi.org/10.1016/j.tree.2014.01.003 %V 29 %X ?Science and policy rely on reliable and unbiased communications.?Visualisations and graphics are a powerful means to communicate.?Ecology lacks appropriate expertise, skills, and knowledge in visualisation.?Great opportunities are available if we rethink the role of visualisation in our work.?The way we think about visualisation needs to be reframed within our disciplines.

@article{McInerny2014Information, abstract = {?Science and policy rely on reliable and unbiased communications.?Visualisations and graphics are a powerful means to communicate.?Ecology lacks appropriate expertise, skills, and knowledge in visualisation.?Great opportunities are available if we rethink the role of visualisation in our work.?The way we think about visualisation needs to be reframed within our disciplines.}, added-at = {2018-06-18T21:23:34.000+0200}, author = {McInerny, Greg J. and Chen, Min and Freeman, Robin and Gavaghan, David and Meyer, Miriah and Rowland, Francis and Spiegelhalter, David J. and Stefaner, Moritz and Tessarolo, Geizi and Hortal, Joaquin}, biburl = {https://www.bibsonomy.org/bibtex/2bdb23842bc0274de8604020ef68c3f0f/pbett}, citeulike-article-id = {13073657}, citeulike-attachment-1 = {McInerny_vis-for-science-and-policy.pdf; /pdf/user/pbett/article/13073657/1071113/McInerny_vis-for-science-and-policy.pdf; 21cc02334c73e5ac6892867d8c06ed925eb71ce3}, citeulike-linkout-0 = {http://www.cell.com/ecology-evolution/abstract/S0169-5347(14)00016-0}, citeulike-linkout-1 = {http://dx.doi.org/10.1016/j.tree.2014.01.003}, day = 7, doi = {10.1016/j.tree.2014.01.003}, file = {McInerny_vis-for-science-and-policy.pdf}, interhash = {a99b082caa285cde07197e91f284ac06}, intrahash = {bdb23842bc0274de8604020ef68c3f0f}, issn = {01695347}, journal = {Trends in Ecology \& Evolution}, keywords = {visualisation climate communication policy}, month = mar, number = 3, pages = {148--157}, posted-at = {2016-06-02 21:00:37}, priority = {2}, publisher = {Elsevier}, timestamp = {2018-06-22T18:36:26.000+0200}, title = {Information visualisation for science and policy: engaging users and avoiding bias}, url = {http://dx.doi.org/10.1016/j.tree.2014.01.003}, volume = 29, year = 2014 }