Author archive: Chantale Tippett

Data mining Science policy
Data access: Vast possibilities and inequities
September 27, 2017
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In our ongoing series on data mining to inform policy, we are giving the topic of data access its own post because of the implications it had for the success or failure of our case studies. The simple reality is that you can’t mine data that don’t exist (or that may as well not exist when they are functionally or realistically impossible to access). As a result, access is particularly important since it underpins the rest of the work in a data mining project. Let’s tease this topic out a little, shall we?
Data mining Science policy
Budgets, timelines and expectations: The influence of project novelty
August 30, 2017
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In the previous post in our ongoing series on data mining for policy, I touched on the importance of organizational context for successful management of these projects. In today’s installment, we dig into novelty and the pressure it exerts on the budgets, timelines and expectations of the project. Novelty is an interesting beast. Alongside the […]
Data mining Science policy
Data mining: Organizational context matters
August 23, 2017
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The previous posts in this series on data mining to inform policy have covered our initial technical framework and two of its further developments. In this post, I present some of the project management lessons we learned over the course of the data mining project, which are largely drawn from the two less successful case […]