How to recognise a kick : A cognitive task analysis of drillers’ situation awareness during well operations

Acknowledgements This article is based on a doctoral research project of the first author which was sponsored by an international drilling rig operator. The views presented are those of the authors and should not be taken to represent the position or policy of the sponsor. The authors wish to thank the industrial supervisor and the drilling experts for their contribution and patience, as well as Aberdeen Drilling School for allowing the first author to attend one of their well control courses.

Production of Referring Expressions for an Unknown Audience : a Computational Model of Communal Common Ground

The research reported in this article is based on the Ph.D. project of Dr. RK, which was funded by the Scottish Informatics and Computer Science Alliance (SICSA). KvD acknowledges support from the EPSRC under the RefNet grant (EP/J019615/1).

Automated data analysis to rapidly derive and communicate ecological insights from satellite-tag data : A case study of reintroduced red kites

Acknowledgements We thank Andrew Spink (Noldus Information Technology) and the Blogging Birds team members Peter Kindness and Abdul Adeniyi for their valuable contributions to this paper. John Fryxell, Chris Thaxter and Arjun Amar provided valuable comments on an earlier version. The study was part of the Digital Conservation project of dot.rural, the University of Aberdeen’s Digital Economy Research Hub, funded by RCUK (grant reference EP/G066051/1).

The role of automated feedback in training and retaining biological recorders for citizen science

© 2016 The Authors. Conservation Biology published by Wiley Periodicals, Inc. on behalf of Society for Conservation Biology. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Acknowledgments The authors thank H. H. Nguyen for his early development work on the BeeWatch interface; E. O'Mahony, I. Pearce, and R. Comont for identifying numerous photographed bumblebees; B. Darvill, D. Ewing, and G. Perkins for enabling our partnership with the Bumblebee Conservation Trust; and S. Blake for his investments in developing the NLG feedback. The study was part of the Digital Conservation project of dot.rural, the University of Aberdeen's Digital Economy Research Hub, funded by RCUK (grant reference EP/G066051/1).

The Contribution of Agriculture, Forestry and other Land Use activities to Global Warming, 1990-2012

Date of Acceptance: 16/12/2014 Acknowledgements: This work was carried out with generous funding by the Governments of Germany (GCP/GLO/286/GER) and Norway (GCP/GLO/325/NOR) to the ‘Monitoring and Assessment of GHG Emissions and Mitigation Potential from Agriculture’ Project of the FAO Climate, Energy and Tenure Division. P. Smith is a Royal Society Wolfson Merit Award holder, and his input contributes to the University of Aberdeen Environment and Food Security Theme and to Scotland's ClimateXChange. J. House was funded by a Leverhulme Research Fellowship. The FAO Statistics Division maintains the FAOSTAT Emissions database with regular program funds allocated through Strategic Objective 6. © 2015 John Wiley & Sons Ltd.