The constant change in the scientific world

The EPFL Open Science initiative invites you to this presentation by Sergei V. Kalinin, director of the Institute for Functional Imaging of Materials at the Oak Ridge National Laboratory, USA.

ABSTRACT
Science is now at the brink of transformational change brought by the big data and machine learning technologies. Technologies such as Facebook, Google, or Yelp, has drastically changed everyday life over last decade. Yet this transition is just beginning in the academic and consequently R&D worlds, largely due to the high heterogeneity of the tasks and goals in research community compared to the everyday life that preclude top-down developments and necessitates data background for domain scientists. In his presentation, Sergei Kalinin will discuss several examples of challenges and opportunities presented by open data and open codes. This transformation further calls us to re-evaluate the ways how we do science - individually and as a community. The tried and true concepts of scientific publication that emerged over last century will remain the mainstream of scientific process, but are poised to adopt significant changes, as enabled by availability of effective means to share raw and curated data, information, and codes, availability of new tools for automatic text generation and analysis, and emergence of social media platforms. Sergei will further discuss how data and paper mining can affect our understanding of scientific world, and building the top-down picture via citation and semantic analysis.  

Speaker's Bio:
Sergei V. Kalinin is the director of the Institute for Functional Imaging of Materials at the Oak Ridge National Laboratory, distinguished research staff member at the Center for Nanophase Materials Sciences (CNMS) as well as a theme leader for Electronic and Ionic Functionality on the Nanoscale at the same institution. He also holds a Joint Associate Professor position at the Department of Materials Science and Engineering at the University of Tennessee-Knoxville, and an Adjunct Faculty position at Pennsylvania State University. His research interests include application of big data, deep data, and smart data approaches in atomically resolved and mesoscopic imaging to guide the development of advanced materials for energy and information technologies, as well as coupling between electromechanical, electrical, and transport phenomena on the nanoscale.
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