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This case study left me to think a great deal about the distribution of images in our own digital world, and how images are circulated through our networks, and social media connections.
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Seen in that light, the cap on the total amount of benefits any one family can receive is almost a "mopping up exercise" – a symbolic effort to ensure that there aren't any Daily Mail-type case studies left in the system.
Therefore, solving larger instances is not of interest for this case study and is left for future research, where heuristic and exact approaches will be investigated.
See this case study for details.
What made this case study so effective?
(You can read more in this case study).
Case Study: I left school at 18 and worked as a teacher.
This small study leaves many issues unexplored.
The group discussed some excellent case studies and left us all with much to think about as it relates to the future of Gov 2.0, OpenGov, We Government and what that could hold.
Although this default behavior can (and, in case of multi-agent systems, often should) be changed, it was left as-is for this case-study.
However this study leaves several unanswered questions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com