The mounting calls for Stephen Breyer to retire from the Supreme Court are understandable. Just last fall, the death of Ruth Bader Ginsburg served as a tragic reminder of what can happen when the wrong president has an opportunity to replace an accomplished justice. But the narrow focus on Breyer himself misses the forest for the trees. Far more important than when Breyer leaves the bench is why so much in our political system rides on the arbitrary questions of when justices die or choose to retire. Whether Breyer retires in a timely fashion or not is less important than whether Democrats heed his misguided warning against expanding the Court—or act boldly to reform an institution that has become one of the greatest threats to American democracy.
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Big Data promises to revolutionise the production of knowledge within and beyond science, by enabling novel, highly efficient ways to plan, conduct, disseminate and assess research. The last few decades have witnessed the creation of novel ways to produce, store, and analyse data, culminating in the emergence of the field of data science , which brings together computational, algorithmic, statistical and mathematical techniques towards extrapolating knowledge from big data. At the same time, the Open Data movement—emerging from policy trends such as the push for Open Government and Open Science—has encouraged the sharing and interlinking of heterogeneous research data via large digital infrastructures.
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