1. Knowledge Sharing and Innovation
Open Day 2017
Fons Rademakers
21/09/2017

2. CERN OPENLAB’S MISSION
Our recipe for success
• Evaluate state-of-the-art technologies in a challenging environment and improve them. • Test in a research environment today technologies that will be used in many business sectors tomorrow. • Train the next generation of engineers/researchers. • Promote education and cultural exchanges. • Communicate results and reach new audiences. • Collaborate and exchange ideas to create knowledge and innovation.
KNOWLEDGE SHARING
CERN openlab Open Day 2017

3. COLLABORATION MEMBERS
A public-private partnership between the research community and industry
CERN openlab Open Day 2017

4. Big Data Value Veracity Variability Variety Volume Velocity
Information
Information
Applications designed
for “big data”
Value
Veracity
Variability
Variety
Volume
Velocity
Software
Data visualization,
representation
Data analysis
and analytics platforms
Pattern recognition, NLP
machine learning, predictive analytics
Platform
Distributed Computing and Data Grids, Clouds, HPC, Crowd Computing
Large storage (disks, tapes, memory)
Fast data acquisition systems
Flexible networks
Infrastructure

5. Open Science Clouds
The objective of CERN’s participation in the work programme is to develop policies, technologies and services that can support the Organization’s scientific programme, promote open science and expand the impact of fundamental research on society and the economy.
European Open Science Cloud (EOSC) builds on the activities of Pre- Commercial Procurement (PCP) projects like HNSciCloud and provide the context for future multi-disciplinary projects.

6. Platforms as Enablers of EcosystemS
As scale grows, a sound digital ecosystem is generated by four main elements and a way for those elements to interact on common terms
Platforms are the unifying services at the intersections that enable
commoditization
best practices
aggregation and integration
share and reuse of data
reproducibility
collaborations, etc.
Community
Practice
Platforms
Content
Technology
Digital
Ecosystem

7. Platform Layers Apps Apps
= Open, standard Interfaces
Apps
Apps
Interactive UIs, Notebooks (e.g. SWAN), Smart AI Bots
Distributed digital object repositories (e.g. Zenodo)
Orchestration/Instantiation (e.g. OpenStack, Docker)
Data Analysis as a Platform
(e.g. ROOT, Hadoop, etc.)
Machine Learning as a Platform
(Spark, TMVA)
Simulation as a Platform
(e.g. Geant, )
Cloud (hybrid on-premise/public, OpenStack, HNSC, EGICLoud, commercial providers, etc.)
Storage back-end (on-premise, cloud storage, standard APIs)

8. CERN Medical Apps Strategy
In June 2017 the CERN Council approved the “Strategy and framework applicable to knowledge transfer by CERN for the benefit of medical applications” The document states that “CERN’s medical applications-related activities shall focus on R&D projects, using technologies and infrastructures that are uniquely available at CERN”. Computing for health applications is one of the areas of activity in the scope of the strategy.

9. Pilot Projects Working with communities beyond HEP
Since the start of our fifth phase, other research institutes can join CERN openlab.
Sharing tools, skills, and knowledge between the high-energy physics community and other research fields.
Our collaboration with research communities beyond HEP brings together all aspects of our work: technological investigation, education and dissemination.
‘Pilot’ projects related to biomedical research:
BioDynaMo
Developing a cloud-based platform for modelling biological development.
GeneROOT
Using ROOT to analyse and share large genomic data sets and pipelines.

10. “Smart Things” and IoT
Understand the potential and impact of technologies such as Internet of Things, fast wireless/mobile communication (5G), and large-scale DA/ML
Raise awareness among the community by collecting and aggregating interests and setting up Proof of Concept projects
Main interests so far: data center operations optimization, environmental control, mobility
CERN is well-placed geographically and technologically to play a central role
Current status: Requirements analysis
Seeking collaborations: developers, domain experts, testers, use cases

11. Innovation & Entrepreneurship
The Globe of Science and Innovation

12. Education and Training
ML-Assisted Image Feature Recognition
Augmented Reality for Maps Navigation
Extension of to New Applications
Distributed Cosmic Ray Detector

13. CONTACTS www.cern.ch/openlab ALBERTO DI MEGLIO CERN openlab Head
ANDREW PURCELL
CERN openlab Communications Officer
MARIA GIRONE
CERN openlab CTO
FONS RADEMAKERS
CERN openlab CRO
KRISTINA GUNNE
CERN openlab Administration/Finance Officer
CERN openlab Open Day 2017