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#ECRWednesday Webinar: Making science reproducible

Join us for November's webinar where speakers will share their thoughts about how to make science more reproducible, covering topics including code, methods and experimental design

Over the past five years, there has been a dramatic increase in attention to the issues of reproducibility of published life science research. Editorials, research papers, mainstream media, and countless conferences and symposiums have raised concerns over the current state of research communication.

Fortunately, we have now reached a point where many organisations have developed tools and resources that can significantly help scientists to work and publish in a more efficient and reproducible fashion. The challenge is to increase the awareness of the new resources in the research community and to facilitate adoption in a way that leads to a long-lasting cultural change and increases the transparency and reproducibility of research.

Please join us Wednesday, November 29th for a discussion on reproducible science and how we can work to make it happen.

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ECR Wednesday November panel


Benjamin Schwessinger
Chair; eLife Early-Career Advisory Group.

Benjamin is a postdoctoral researcher at ANU. He has a particular interest in addressing reproducibility issues in science and acts an ambassador for

Twitter: @schwessinger

Lenny Teytelman
Co-founder of

Lenny has over a decade of computational and experimental biology experience. He did his graduate studies at UC Berkeley and finished his postdoctoral research at MIT. For three years, prior to switching from math and computer science to molecular biology, he was a database developer. Lenny is co-founder of the protocols sharing website and has a strong passion for sharing science and improving research efficiency through technology. (Text adapted from

Twitter: @lteytelman

Simine Vazire
Professor of psychology, UC Davis

Simine is a professor of psychology at UC Davis and an editor of several psychology journals. She has been working on transparency, replicability, and open science for several years. She is the president and co-founder of the Society for the Improvement of Psychological Science. She has a blog ( and a podcast ( about replicability and other issues in psychology and academia.

Twitter: @siminevazire

Hilmar Lapp
Director of Informatics, Duke Center for Genomic and Computational Biology; Data carpentry steering committee

Hilmar’s research interests are in open, reusable and interoperable software and data, in particular biological data recorded in the form of natural language descriptions. He has a dual background in biology (major) and computer science (minor). His experience developing various informatics tools and resources extends over more than two decades and includes commercial applications, real-time scientific data acquisition software, bioinformatics data integration systems, data exchange standards, and ontologies. Hilmar is one of the co-founders of Data Carpentry, and the Reproducible Science Curriculum. (Text adapted from Hilmar’s personal website)




Monica Driscoll
Professor of Molecular Biology and Biochemistry, Rutgers University

Monica’s lab focuses on fundamental problems in the biology of aging, with an emphasis on neurodegeneration and molecular strategies for healthspan extension. In 2013 she became involved in an interlab study to investigate problems arising from irreproducibility of results from respected labs involved in ageing research, and has recently co-authored a piece in nature talking about the challenges they faced.

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