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Biography

Brian Nosek is the Executive Director and Co-founder of the Center for Open Science (http://cos.io/), a non-profit organization in Charlottesville, Virginia, USA. COS has a mission to increase the openness, integrity, and reproducibility of scientific research worldwide. The COS team builds technology that enables researchers to share their research; conducts trainings to teach more open, reproducible research practices; and studies the processes by which scientists can improve their science.

Brian is also a Professor in the Department of Psychology at the University of Virginia. He received his Ph.D. from Yale University in 2002. He co-founded Project Implicit (http://projectimplicit.net/), a multi-university collaboration for research and education investigating implicit cognition--thoughts and feelings that occur outside of awareness or control. Brian investigates the gap between values and practices, such as when behavior is influenced by factors other than one's intentions and goals. Research applications of this interest include implicit bias, decision-making, attitudes, ideology, morality, innovation, barriers to change, open science, and reproducibility. In 2015, he was named one of Nature's 10 and to the Chronicle for Higher Education Influence list.

1-007 - Promoting Openness and Reproducibility in Developmental Research

Thu, October 4, 1:00 to 2:30pm, Doubletree Hilton, Room: Fiesta I

Session Type: Keynote Address

Abstract

Shifting the scholarly culture toward open data and open workflow is partly an incentives problem, partly an infrastructure problem, and partly a coordination problem. The Center for Open Science (COS; http://cos.io/) is a non-profit technology and culture change organization working to solve this. The central components of COS’s strategy are providing free, open, public goods infrastructure that scholarly communities brand and operate based on their local norms (OSF; http://osf.io/), and coordinating across disciplinary and stakeholder silos to align scholarly practices with scholarly values. Greater openness of data, materials, and process will accelerate discovery and improve trust and credibility in the outputs of research.

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