Springer Nature Video Discovery in Motion

Springer Nature Video is a collection of highly educational, peer-reviewed videos created by leading academics, practitioners, and thinkers. Titles take viewers through various demonstrations, case studies, and lectures that spark discourse and give a unique chance to see experts at work. 

Housed on SpringerLink, our videos also incorporate interactive tools and links to related texts that make our content accessible, discoverable, and capable of supporting a diverse range of needs and interests.

Today’s researchers and students are ever-increasingly accustomed to learning from videos. The Springer Nature Video catalog answers this demand with well-presented, exclusive content in line with our renowned eBook program. With our first two packages, Clinical Medicine and Professional and Applied Computing, users can add value to scholarly work in numerous ways, including with:

  • Training (i.e. surgical training; protocols) 
  • Teaching materials     
  • Lectures, interviews, and roundtable discussions

Video examples

Cameron C. Wick: Otosclerosis and Stapes Surgery

Liz Clark: Controlling LEDs with Arduino

Michael Killen: How to Scale Your Small Business

Why use Springer Nature Video?


Curated and peer reviewed videos

Trusted content in areas researchers are interested in. Presented in learning courses and education videos developed by leading institutions and authors.


Full transcript and rich metadata

For better discovery and indexing


Connected to eBooks and journals content

Trust high quality eBook and journals content 

Where Springer Nature Video provides added value to users

Medical users

  • Watch selected key elements of a surgery, while the surgeon provides narrative
  • Learn how to read scans/ X-rays, with a specialist such as a radiologist providing explanation 
  • Watch researchers present new findings supported by slides providing the data, in the same way this might happen at a conference
  • Watch thought leaders in an academic field be interviewed about current topics in that field
  • Watch or re-watch a lectures remotely


IT users

  • Learn a programming language, such as Python, R or MATLAB (the three programming languages mostly used in academia) to support handling of large data-sets
  • Learn how to manage a database and/or handle large data migrations
  • Get a quick overview of a key tech topic- think about explaining how the blockchain works
  • But video can also be a ‘low threshold’ introduction to a certain topic. Example: we have a video from Geoff Hulten about machine learning that is very introductory product 

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