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Cambridge University Press: Cambridge Launches AI Research Ethics Policy

New guidelines will help researchers use generative AI tools like ChatGPT while upholding academic standards around transparency, plagiarism, accuracy and originality. The rules are set out in the ....

United Kingdom , Andrew Scheuber , Dennis Riedl , R Michael Alvarez , Sophie White , Mandy Hill , Cambridge University , California Institute Of Technology , Cambridge University Press , Academic At Cambridge University Press Assessment , Managing Director , Cambridge University Press Assessment , Michael Alvarez , Computational Social Science , California Institute , Computational Methods , Social Science ,

What is Computational Agronomy?

Agronomy is a branch of agriculture that deals with crop production and soil management. At present, digital technology has enabled the acceleration of agricultural practices, and this approach is known as computational agronomy. ....

United States , Barreto Luiz , William Potter Shutterstock , Computational Methods For Agricultural Research , Media Lab , Computational Agronomy , Moonshot Project , Automation Industry Focus , Agronomy Improves , Bates Laboratory , Computational Methods , Agricultural Research ,

Lauren Di Monte named to new Yale Library leadership post for research and learning

Lauren Di Monte named to new Yale Library leadership post for research and learning
yale.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from yale.edu Daily Mail and Mail on Sunday newspapers.

Patriciam Carey , Barbara Rockenbach , Kiran Keshav , University Librarian For Research , Cushing Whitney Medical Library , Yale Center , University Of Toronto , University Of Rochester , Research Computing , York University , Carolina State University , Science Library , Divinity Library , University Librarian , Yale Library , Humanities Research , Haas Family Arts Library , Sterling Memorial Library , Gilmore Music Library , Research Technologies , Lauren Di Monte , Digital Strategies , Yale University Library , Associate University Librarian , Area Studies , Humanities Research Support ,

"Robust regression using probabilistically linked data" by Ray L. Chambers, Enrico Fabrizi et al.

There is growing interest in a data integration approach to survey sampling, particularly where population registers are linked for sampling and subsequent analysis. The reason for doing this is simple: it is only by linking the same individuals in the different sources that it becomes possible to create a data set suitable for analysis. But data linkage is not error free. Many linkages are nondeterministic, based on how likely a linking decision corresponds to a correct match, that is, it brings together the same individual in all sources. High quality linking will ensure that the probability of this happening is high. Analysis of the linked data should take account of this additional source of error when this is not the case. This is especially true for secondary analysis carried out without access to the linking information, that is, the often confidential data that agencies use in their record matching. We describe an inferential framework that allows for linkage errors when sampli ....

Computational Methods , Maximum Likelihood Methods Statistical Learning , Exploratory Methods , Data Sciences , Modeling Methods Statistical , Graphical Methods , Data Analysis , Exchangeable Linkage Error , Inite Population Inference , Linked Data , Robust Estimation ,