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ECMTB 2014 and Computational Software

Posted on June 25, 2014June 25, 2014 By admin No Comments on ECMTB 2014 and Computational Software

I attended this years ECMTB 2014. Apart from many interesting sessions on mathematical modeling, I attended this minisymposia on software for multicellular simulations. All the speakers had done a great job developing software for the application community, but the impression was that they managed to do this despite being productive methods researchers, not as a consequence of it. We have had a similar experience with the software we develop, and it raises a very relevant question about the feasibility of developing scientific software. Arguably, professionally maintained software based on the latest methods research is essential in order to disseminate the results in the application areas, but how to secure funding to enable a long term maintenance and development of software? In CS oriented fields such as Scientific Computing, research infrastructure usually implies hardware and clusters. Arguably, good scientific open source software should also be viewed upon as important research infrastructure, and some infrastructure funding could then be used to increase the incentive to maintain software.

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Data-and simulation-driven life science. Much of our work in eScience and applied ML has applications in life science, and in Systems Biology in particular. We aim to enable data-and simulation-driven scientific discovery.

HASTE - a cloud native framework for intelligent processing of image streams: http://haste.research.it.uu.se/

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SciLifeLab_DCSciLifeLab_DataCentre@SciLifeLab_DC·
3 Nov

Join our great team at @SciLifeLab_DC!

We are now looking for IT-ansvarig SciLifeLab
👉Apply by Dec 12th.
👉More & apply here: https://www.kth.se/om/work-at-kth/lediga-jobb/what:job/jobID:546469/where:4/
👉More about @SciLifeLab_DC here: https://scilifelab.se/data

@scilifelab @KTHuniversity

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A_HellanderAndreas Hellander@A_Hellander·
25 Oct

Starting in 30mins :-)

Prashant Singh@prashant_rsingh

Join us tomorrow for an exciting seminar by @uPicchini on “guided sequential ABC schemes for intractable Bayesian models”. The seminar starts at 13.15 until 14.00 CEST in Room 101127, Ångströmlaboratoriet, Uppsala University & online: https://uu-se.zoom.us/j/65354024469. Warmly welcome!

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A_HellanderAndreas Hellander@A_Hellander·
6 Oct

eSSENCE, SERC and Chalmers e-science Centre are providing core e-science education to PhD students from the SeSE platform: https://sese.nu/

Researchers - get funding to develop and give a PhD course!
@uppsalauni @lunduniversity @umeauniversitet

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A_HellanderAndreas Hellander@A_Hellander·
6 Oct

Day two of the Swedish eScience Academy organized by eSSENCE.

Interesting to learn from Sverker Holmgren of Chalmers eCommons about the holistic approach to infrastructure and support for data centric research at Chalmers!

@UmeaUniversity @UU_University @lunduniversity

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A_HellanderAndreas Hellander@A_Hellander·
6 Oct

So great to be at the Swedish e-science Academy organized by #essenceofescience! Two days of scientific exchange between colleagues nationally, and in particular from the partner universities @UU_University @UmeaUniversity @lunduniversity.

Keynote day one by Kersti Hermansson.

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Decentralized AI, Federated Learning. One focus area of the group is development of methods and software to address decentralized and privacy-preserving AI. We are core contributors to the FEDn open source framework for scalable federated machine learning:

https://github.com/scaleoutsystems/fedn
Introduction to Federated Learning by Andreas Hellander
Join the discussion on Decentralized AI:

Scaleout Systems is a spin-out from ISCL on a mission to enable decentralized AI and federated learning to production.

https://www.scaleoutsystems.com/

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