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Connecting the dots: a CRI Network Workshop

Sat 18 May 10:00 AM - 17:00 PM @ https://cri-paris.org/

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Connecting the dots: a CRI Network Workshop

“A string of recent breath-taking discoveries has forced us to acknowledge that amazingly simple and far-reaching natural laws govern the structure and evolution of all the complex networks that surround us.” Albert-László Barabási, “Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life”

Example of a network (right) : Network of learners (pink nodes) in Madagascar undergoing a collaborative formation supervised by mentors (green nodes). Links represent communications (phone calls) aggregated over time and node size represent collaborative activity (total amount of time spent communicating with other learners/mentors). Such a network allows to understand learning as a “contagion process” where knowledge “spreads” over your network neighbors.

The network workshop: A community that lives together also learns together, so let’s create a community of network science where we all spend a day together and learn from experts about networks! This workshop is intended to be a hands-on experience learning about, mining, manipulating, describing and visualising networks. It will take place in the learning center of the CRI on Saturday 18th May 2019, from 10am to 5pm. The workshop will be led by Marc SANTOLINI, CRI research fellow and specialist in network science, along with Liubov Tupikina (CRI & Bell Labs) and other CRI Research fellows!

The workshop requires no background or prior experience in Network analysis. Just make sure to bring your MOTIVATION to learn and build your own network! It is intended for learners of all levels (bachelors, masters, PhD). We are open to welcome people outside from CRI as well. Please make sure you have registered for the event. You will be expected to participate actively in the activities of the workshop. Please bring your laptop for the workshop, as you will use them for the hands-on experience. If you do not have a laptop, please inform us so that we can try and find one for you!

Short Introduction of Marc SANTOLINI: Marc is a long-term research fellow at CRI, a visiting researcher at the Barabasi Lab (Network Science Institute, Northeastern University) and a research collaborator at Harvard Medical School. He is also the co-founder of Just One Giant Lab, a nonprofit initiative aimed at developing decentralized open science challenges using smart digital tools. He majored in Physics and minored in philosophy of science at ENS, Paris. He followed up with a PhD in statistical physics applied to gene regulatory networks, and during his postdoc he have been investigating biology at all scales, from network medicine and personalized medicine to hospital network analysis, to the making of biology by studying the iGEM competition, an international student competition of synthetic biology. He has organized several satellites at various conferences (on Network Medicine at NetSci, on Hybrid Collective Intelligence at CCS) and he is a co-organizer of the flagship conference in complex systems, the International Conference of Complex Systems (ICCS) in Cambridge, MA. More generally, he is interested in how decentralized open science can solve health related problems at scale in an inclusive way, and in 2018 he received the Sage Bionetworks “Young Investigators Award” for his work on “Algorithms and the role of the individual”. He is now spending his time between leading his lab on network science at the CRI and directing the scientific vision of the Just One Giant Lab platform.

Preliminary program:

1st session

10:00 to 11:00 : A history of network science, and why it matters today (Marc SANTOLINI)

11:00 to 12:00 : Organisation of subgroups, selection and preliminary visualisation of networks (from provided database)

12:00 to 12:30 : Short introduction of groups and their selected networks

12:30 to 13:30 : Lunch Break

2nd session

13:30 to 14:30 : Introduction to computational tools for advanced network analysis

14:30 to 16:30 : Hands-on analysis and advanced visualisation of the networks by each group

16:30 to 17:00 : Conclusion and remarks

Note : Please make sure to download the following tools:

For visualisations: Gephi https://gephi.org/ for simple graph visualisation, Cytoscape https://cytoscape.org/ for more fine grain visualisation.

For analysis: R https://www.rstudio.com/ with the library iGraph or alternatively Python https://www.python.org/ with the networkx library.

Registration is mandatory to participate!