Workshop on data analysis in large-scale research: comparing experiences in physics and biology

Wednesday 6 Dec 2017, 09:00 → 16:30 Europe/Zurich

31/3-004 - IT Amphitheatre (CERN)

CERN openlab is organising this workshop as part of its ongoing knowledge-sharing activities with research communities beyond high-energy physics (HEP). The workshop will be a forum to share experience, challenges, and tools between the HEP and systems biology communities.

The event will focus in particular on technologies and approaches related to data-driven research, such as data analytics, machine learning, and distributed platforms for sharing, reproduction, etc. In addition to research, we will also discuss the role such technologies and approaches can play in education.

The morning is open to all; it will feature invited speakers from both the HEP and systems biology communities. The afternoon will be dedicated to identifying common objectives and opportunities for collaboration between the HEP and systems biology communities.

If you would like to attend the open sessions of the workshop in the morning, please register using the link on the left.

Big-Data-Health-Research-EU-Action-Plan-GM-2016.pdf

P4-Health-Spectrum-2017.pdf

SWAN-Service_Interactive_Analysis-Cloud-2018.pdf

Viva_Europa,_a_Land_of_Excellence_in_Research_and.99996.pdf

1 Welcome

2 CERN openlab: a Framework for Scientific Collaboration

Speaker: Dr Alberto Di Meglio (CERN)

Med Apps Computing 20171206.pdf

Med Apps Computing 20171206.pptx

3 Data Platforms and System Biology: Can Health be Modeled?

Speaker: Dr Michael Sagner (ESPREVMED)

CERN_OpenLab_Sagnerv4.pdf

CERN_OpenLab_Sagnerv4.pptx

4 Preserving and Reusing High-Energy Physics Data Analyses

Speaker: Tibor Simko (CERN)

reana-openlab-workshop-2017-12-06.pdf

10:30 Coffee break

5 Systems science for medicine; Synergy at the boundary between biology and physics

Medicine remains a qualitative discipline because we have not yet understood the fundamental physics governing biological systems. Current approaches have made huge headway, but lack cohesive frameworks capable of indexing and integrating detailed findings into quantitative frameworks assisting the promotion of health.

In this lecture, I describe potential short-, intermediate-, and long-term projects, ending with a discussion of my current work on the biophysics of brain function.

Speaker: Dr Jennifer Sarah Goldman (European Institute for Theoretical Neuroscience (EITN))

Goldman_Systems_Medicine_CERN_Dec2017.pdf

6 SWAN (Service for Web based ANalysis), a platform to perform interactive data analysis in the cloud

Speaker: Diogo Castro (FCT Fundacao para a Ciencia e a Tecnologia (PT))

swan-openlab-06122017.pdf

12:00 Lunch and Visit of CERN Data Centre

7 Complex Systems - Applications and Implications in BioMedicine

Speaker: Dr Yaneer Bar-Yam (New England Complex Systems Institute)

8 Discussion on a possible action plan to define and build a distributed health baseline and how CERN can contribute

1) Round table of expressions of interests and objectives
2) Identifications of differences, similarities, shared goals
3) Identification of common actions in support of shared goals

9 Conclusions and Next Steps