What is reproducibility and why it matters
Speakers:
Bio: "Julia Kasmire researches and teaches on how to use new forms of data for social scientists with the UK Data Service and the Cathie Marsh Institute at the University of Manchester. She approaches this task as an interesting combination of thinking like a computer (essential for data sciences) and thinking like a human (essential for social sciences) in the context of complex adaptive systems. She is deeply committed to equality, diversity and inclusivity and is currently dabbling with stand-up comedy as a form of science communication."
Open science requires transparancy and clarity so that ideas and methods are clear and reproducible. It is not always obvious how social sciences can be made open; but this session illustrates several possibilities. The session also lays out the implications of making social sciences more open and potential consequences of failing to do so.