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SUMMARY:Automerge: A New Foundation for Collaboration Software - Martin Kl
 eppmann\, Cambridge
DTSTART:20211125T150000Z
DTEND:20211125T160000Z
UID:TALK163276@talks.cam.ac.uk
CONTACT:Srinivasan Keshav
DESCRIPTION:Software for real-time collaboration\, such as Google Docs\, O
 verleaf\, Figma\, or Trello\, has enabled many people around the world to 
 continue working remotely during the pandemic. While this software is very
  valuable\, it is also fragile because it relies on centralised\, trusted 
 cloud services. If the company providing the cloud software goes out of bu
 siness\, or decides to suspend your account\, the software stops working\,
  and you are locked out of all of the documents and data you ever created 
 with that software.\n\n"Local-first software":https://www.inkandswitch.com
 /local-first.html is an effort to make collaboration software less depende
 nt on cloud services\, and "Automerge":https://github.com/automerge/autome
 rge is an open-source library for realising local-first software. Automerg
 e provides a shared JSON-like data structure that several users can update
  concurrently\, and which automatically merges those updates into a consis
 tent result. It provides data formats for efficiently storing this data an
 d syncing it between users. It seamlessly supports both offline work and l
 ive real-time collaboration while online.\n\nAutomerge is the result of ye
 ars of research on "Conflict-free Replicated Data Types (CRDTs).":https://
 crdt.tech/ In this talk we will explore both the theoretical foundations o
 f CRDTs\, their practical applications\, and the ongoing research in this 
 area.\n\nBio:\n\nDr. Martin Kleppmann is a research fellow and affiliated 
 lecturer at the Cambridge Computer Lab\, and author of the bestselling boo
 k "Designing Data-Intensive Applications":https://dataintensive.net/ (O'Re
 illy Media). He works on distributed systems and security\, in particular 
 collaboration software and CRDTs. Previously he was a software engineer an
 d entrepreneur\, co-founding and selling two startups\, and working on lar
 ge-scale data infrastructure at LinkedIn.
LOCATION:FW11 and https://cl-cam-ac-uk.zoom.us/j/97216272378?pwd=M2diTFhMT
 nppckJtNWhFVTBKK0REZz09
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