skip to primary navigationskip to content


This page collects all news items (relevant talks, conferences, initiatives and job offers) advertised to CNN members via our regular newsletter. To receive our newsletter by email simply join our mailing list via the following website.

If you have any news that you would like to share with other CNN members via our website and newsletter, please email us at



last modified Sep 03, 2019 02:03 PM

PreMed19: Precision network medicine in the era of big data, Okinawa 31st October, a satellite of ICSB (ICSB registration required here:

Abstract deadline 31st September
More details at

Network science is having a substantial impact in various aspects of health-related research. Recently, the advent of more comprehensive personalized data has fostered the emergence of precision medicine; an approach that considers individual genetic and physiological characteristics, lifestyle and environment in devising personalized therapies. Such an approach benefits greatly from big data and network approaches at multiple levels. First, integrating different molecular "interactomic" datasets from a single patient, from subcellular to organ-level, is a fundamental step towards understanding the mechanistic underpinnings of personalized health states. The symposium will bring together these two themes of precision medicine and big data analysis at multiple levels of resolution, showcasing advances in the use of molecular networks for patient data integration as well as new approaches to disease network reconstruction and modeling.
Organized by Amitabh Sharma, Harvard Medical School, Jose Nacher, Toho University, Kwanh-Il Goh, Department of Physics at Korea University and Vera Pancaldi, Centre for Cancer Research of Toulouse and Barcelona Supercomputing Center.

Free satellite registration


last modified Aug 04, 2019 08:36 PM

NetSci-X, the Network Science Society‘s signature winter conference, will visit Tokyo, Japan in 2020. Bringing together leading researchers and innovators, NetSci-X 2020 will connect Japanese culture of innovation and hospitality with the novel perspectives of Network Science.

NetSci-X 2020 will include:
Main conference (plenary and parallel sessions, poster sessions) on January 20th — 22nd
One-day network science school on January 23rd

Keynote speakers include Albert-László Barabási, Alain Barrat, Katy Börner and Meeyoung Cha.

Submission deadline: September 30, 2019

For more details, see:

Workshop "Networks: From structure to function"

last modified Aug 04, 2019 08:35 PM

Networks: From structure to function

Where: University of Aberdeen
When: 29-30 August 2019

This is a 2-day workshop which will bring together researchers interested in network science. The workshop will cover state-of-the-art topics in networks science with a marked interdisciplinary focus that can encourage collaboration beyond specific communities of network practitioners. In particular, it will cover recent progress on the description of network structure (e.g. multilayer networks or structural topology), emergence of network structure (e.g. growth of fungal networks or emergence of networks of contacts in granular materials), dynamical processes on networks (e.g. epidemics, spread of social phenomena or networks of oscillators) and characterisation of natural and artificial networks (e.g. brain networks or power grids).

- Registration until 10 August 2019
- There is no fee required for this conference.

- Details and registration at:

Marami conference 2019

last modified Aug 04, 2019 08:34 PM

Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques
The 10th Conference on Network Modeling and Analysis
Venue- Dijon, France November 06- 08, 2019

Networks are ubiquitous for modeling and simulating various natural and man-made systems (social, biological, technological, economic, ecological, historical and others). MARAMI  is an annual forum for the exchange and dissemination of studies on networks originating from various communities (computer science, mathematics, sociology, biology, etc.). Studies with a strong methodological or quantitative influence, or combining several disciplinary fields, are particularly welcome. MARAMI is a forum where synergies are developed and where expertise and experiences of various communities are shared.


· Jean-Daniel FEKETE INRIA, France
· Ronaldo MENEZES University of Exeter, UK
· Tsuyoshi MURATA Tokyo Institute of Technology, Japan

Register at :
Early registration rate until September 27, 2019

Big Scholar 2019

last modified Aug 04, 2019 08:32 PM


BigScholar 2019
The 6th Workshop on Big Scholarly Data

A workshop of CIKM 2019 (The 28th ACM International Conference on Information and Knowledge Management)
Beijing, China, November 3rd-7th, 2019

Following the success of the previous five editions, the BigScholar 2019 workshop aims at bringing together academics and practitioners from diverse fields to share ideas and experience with management, analysis, mining, and applications of big scholarly data. The goal is to contribute to the birth of a community having a shared interest around big scholarly data and exploring it using knowledge discovery, data science and analytics, network science, and other appropriate technologies.

Submissions due: August 31, 2019 (Any time zone)
For more details, please see:

Applied Network Science Special Issue

last modified Aug 04, 2019 08:31 PM

Applied Network Science Special Issue on
Global Flow of Commodity, Money, Human, and Knowledge

The phenomenon of globalization can simultaneously reduce international economic inequality (e.g., in the case of emerging countries) and worsen domestic economic inequality (e.g., increase of relative poverty in a several advanced countries). How can we solve this trade-off between international and domestic inequalities? On the other hand, it is highly desirable to avoid the reduction of biological and cultural diversity due to globalization. What can we do to promote the sustainable evolution and preservation of local diversities?

Network analysis on global interdependence caused by the flows of commodity, money, people, and knowledge is indispensable in order to acquire different perspectives on globalization and to clarify its effects on isolated communities, which are most vulnerable in terms of equality and diversity. Consequently, the aim of this special issue is to collect a series of pioneering works in this interdisciplinary field, at the edge of natural and social sciences, to provide a landscape of research progresses and potentials in evidence-based policy making.

Papers of a broad nature – as per the topic to be tackled – on various aspects of global flow of commodity, money, people, and knowledge are to be considered as possible contributions for this special issue.

Survey and review papers are welcome.

Expression of interest and abstract submission: October 7, 2019

For more details, please see:

Research Fellowships at the University of Birmingham

last modified Aug 04, 2019 08:30 PM

We are looking for outstanding postdoctoral researchers with backgrounds in mathematics, physics or data science to join the newly established Centre for Systems Modelling and Quantitative Biomedicine as Centre Fellows.

These unique roles offer the opportunity to develop your own research interests, as well as to co-develop exciting new projects at the interface with biomedical and clinical research. Successful applicants will receive strong support for developing their own independent programme of research, ultimately leading to personal fellowship funding and so an established career at the University of Birmingham.

At present we are seeking candidates with a background in one of more of dynamical systems, complex networks, continuum mechanics, machine learning and artificial intelligence, data analytics and visualisation, advanced imaging, diagnostics and decision support.

Full details of the role and how to apply can be found here:

Deadline for applications: September 1. Assessment Centre September 23&24.

Post Doc in the Dynamics of Social and Physical Networks Project

last modified Aug 04, 2019 08:29 PM

Troy, New York, United States
12 month contract

The selected candidate will work in the Network Science and Technology (NEST) Center at RPI, an interdisciplinary network science center whose members include faculty from computer science, physics, mathematics and engineering. The postdoc will work under the supervision of the NEST Center director, Dr. Boleslaw K. Szymanski, Professor of Computer Science and Physics, with close collaboration with Dr. Jianxi Gao, Professor of Computer Science, and Dr. Gyorgy Korniss, Professor of Physics.

The appointed researcher will engage in the analysis of the data on events in social networks and physical networks. The research activities will focus on mathematical and computer modeling of network dynamics; fitting the models to data, building and validating predictive models, and addressing open challenges caused by the data incompleteness, and incorrectness, or by integration of information from multiple sources.
The ideal candidate should be comfortable with the handling of large data sets, statistical analytics, network science, mathematical and computer modeling, and working with diverse areas of network science. The researcher is expected to disseminate high quality scientific and technical results, including journal articles, conference papers, and presentations and websites with computer tools and data.

Application deadline is May 31st 2020, but applications will be accepted until the position is filled.

For more details, see:

Postdoc position in data/network science at ITU Copenhagen

last modified Jun 04, 2019 04:24 PM


We are looking for a postdoc in data/network science, to start in fall 2019. The postdoc will work in the NEtwoRks, Data, and Society (NERDS) group at IT University of Copenhagen with Michael Szell and Roberta Sinatra. The group currently focuses on quantitative projects at the boundary of computational social science and network science, including science of science, social dynamics, urban sustainability, data visualization, and fundamental questions in complex systems.

We seek a researcher with strong quantitative background in fields such as statistical physics, applied mathematics, machine learning, network analysis, complex systems, urban computing, or other closely related fields. Our priority is to attract technically strong researchers who are interested in asking bold, new questions with data. A stated passion and experience in data analysis is a must, including excellent programing skills in Python or a similar language and experience handling large data sets.

The initial length is 12 months, full-time, with possibility to extend up to 3 years. Apart from research, a moderate amount of co-teaching is expected within the Data Science program. Postdoc salaries in Denmark are determined according to the collective agreement for academic staff employed by the State Sector. Researchers from abroad can request a reduced researcher taxation scheme.

To apply for the position, send an email to Roberta Sinatra ( with subject line "Application for postdoctoral position" and the following materials:
1) cover letter, describing your research, and your interest in and qualifications for this position (max. 2 pages)
2) curriculum vitae including publications list
3) 2-3 references (name + relation to you + email address)
4) sample writing (e.g. a research paper) and sample code (max. 1 page)
5) a link to your professional webpage (if applicable)

Interested applicants can contact Roberta Sinatra at for more information.

Post-doctoral Research Associate in Computational Neurolmaging

last modified Jun 04, 2019 04:23 PM

The University of Newcastle (UON), Australia

The Systems Neuroscience Group (SNG) is located in a dedicated Imaging Facility at the Hunter Medical Research Institute. This facility contains a 3T PRISMA MRI as well as EEG, eye tracking, a functional near infra-red system, transcranial magnetic stimulation and other advanced auxiliary equipment. This multidisciplinary team undertakes fundamental research into the organization and activity of the networks the human brain. Through clinical collaborations, this work is employed to shed new light on major disorders of the brain. Led by Michael Breakspear, the SNG sits across the School of Psychology and the School of Medicine and Public Health at the University of Newcastle, and within the broader Brain and Mind Priority Research Centre

The successful applicant will work as part of a neuroimaging team, assisting in the design of innovative computational neuroimaging projects and the analysis of the ensuing behavioural and neuroimaging data using computational methods.

Closing Date: Monday 24th June 2019

For more information, see:

Barabasi talk on the Formula

last modified May 03, 2019 01:52 PM

The Institute of Applied Data Science at Queen Mary University of London presents:
'The Formula: Quantifying outcomes in individual careers, from science to art',
with Professor Albert-Laszlo Barabasi,
Institute of Network Science, Northeastern University and Division of Network Medicine, Harvard University

Attendance is free but you must register here:

Common wisdom goes something like this: Performance drives success, hence work hard and success will follow. But as we've all witnessed, that's not always the case. Here I aim to quantify success in science and arts by realizing that while your performance is about you, your success is about "us"—meaning that success is a collective and measurable quantity that captures how your peers observe and recognize your performance. This approach allows us to explore, using the tools of science, the emergence of impact, and quantify our ability to measure and predict success. I will discuss when will a scientist make her highest impact discovery, how to assign credit to collaborative work, and the role of professional and institutional networks in the emergence of impact and recognition in both science and art.

Albert-László Barabási holds appointments at the Network Science Institute at Northeastern University, Division of Network Medicine at Harvard Medical School and Department of Network and Data Sciences at Central European University. He is the author of the newly released The Formula – The Five Laws Behind Why People Succeed (2019), Linked (2002), and Bursts (2010) and the textbook Network Science (Cambridge, 2017), and co-edited Network Medicine (Harvard, 2015) His work lead to the discovery of scale-free networks and to the so-called 'Barabási-Albert model' explain the widespread emergence of the scale-free property in biological, technological and social systems.

The Formula will be published in the UK on 16 May 2019 by Macmillan and copies will be on sale at this event.

QMUL PhD Studentship

last modified May 03, 2019 01:51 PM

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2019 for students seeking funding, or at any point in the academic year for self-funded students. The deadline for funded applications is the 30th June 2019.

The student will work under the supervision of Dr. Vincenzo Nicosia, on an EPSRC-funded project.

Aims of the project
The project focuses on the exploration of long-time properties of random walks on graphs for the characterisation of heterogeneity in spatial systems. The main hypothesis is that the trajectories of random walks on graphs embedded in 2-dimensional and 3-dimensional Euclidean spaces preserve a lot of information about the presence and importance of spatial correlations in the system. The main aim is to provide new graph-based methods to quantify correlations and heterogeneity in large-scale spatial data sets, and to devise appropriate null-models for the normalisation of those measures and the comparison of heterogeneity across different systems. The project has both a mathematical and a data-oriented component. It will most probably require the ability to simulate simple dynamics processes on graphs, and will provide extensive opportunities to deal with real-world data sets.

The candidate
The ideal candidate is a UK/EU national with a Master-level degree in Mathematics, Physics, or Computer Science (with a strong maths component), and a strong interest in networks. Previous experience/knowledge in one or more of graph theory, network science, processes on graphs, discrete mathematics, combinatorics, matrix theory, dynamical systems, stochastic processes, random walks, time-series analysis, numerical simulations, is desirable but not essential.

The research group
The student will be part of the Complex Systems and Networks Research Group at Queen Mary University of London. The group consists of 8 academics, 3 PDRAs and about 12 PhD students conducting world-leading research in complex networks, complex systems, time series analysis, stochastic processes, statistical physics, nonlinear dynamics, mathematical modelling of biological systems, with applications to biology, ecology, neuroscience, urbanism, finance, engineering.

The School
The School of Mathematical Sciences is committed to the equality of opportunities and to advancing women’s careers. As holders of a Bronze Athena SWAN award we offer family friendly benefits and support part-time study. We strongly encourage applications from women as they are underrepresented within the School.

Funding Notes
This project is eligible for full funding, including support for 3.5 years’ study, additional funds for conference and research visits and funding for relevant IT needs.

Conference on Complex Systems 2019

last modified Apr 23, 2019 03:56 PM

Nanyang Technological University, 30 Sept- 4 Oct 2019

The Conference on Complex Systems (CCS) is the biggest and most important annual meeting of the international complex systems community. It comes under the auspices of the Complex Systems Society. In 2019, CCS will come to Asia for the first time. Held in Singapore at Nanyang Technological University, it promises an intellectually stimulating experience to be matched by an equally exciting social programme. ​
​The calls for abstracts is open at

Deadline for abstract submission: April 30th, 2019

NetMed satellite at NetSci 2019

last modified Apr 23, 2019 03:52 PM

Hurry up and submit an abstract to NetMed19- "Getting connected: system's medicine and networks", a satellite symposium on May 28th at NetSci2019. Excellent speakers including Jukka-Pekka Onnela, Nitin Baliga and Reka Albert.

The focus of this symposium will be on personalized medicine and how big data approaches can help in this field, with topics including but not limited to systems medicine, disease networks and comorbidities, omics data integration and exploitation of electronic health records, cancer, complex diseases.

For more info and abstract submission, see:

Deadline: 10th May 2019

Cambridge Computational Biology Institute Annual Symposium

last modified Apr 23, 2019 03:51 PM

Date: Wednesday 15 May 2019
Location: Centre for Mathematical Sciences
Coffee from 8.30, tea breaks and lunch provided, drinks at ~17.30

We are pleased to announce registration is open for this year's Annual Symposium of the Cambridge Computational Biology Institute. This one-day event reflects the strength and diversity of research in computational biology, taken broadly, both within Cambridge University and beyond.

To register and for further information please visit:
The poster for the event is here:


last modified Apr 23, 2019 03:50 PM

2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2019)
5-8 October 2019, Washington, DC, USA

Tentative Program Highlights:
* 3 high profile keynote speakers that bridge statistics and computer science with other fields
* A Data Science for Social Impact day
* Research track and Applications track
* Late-breaking Poster session with lightening talks highlighting recent research advances
* Special sessions with papers published in the main conference IEEE proceedings for EI indexing through INSPEC by IEEE.
* Special sessions on statistics/mathematics for data science and advanced analytics, industry data science, and emerging areas, recent trends and controversies of data science and advanced analytics.
* Best papers selected for journal extension.
* A strong interdisciplinary research program spanning the areas of data science, machine learning, data mining,  and statistics, etc.
* Strong cross-domain culture and industry & government engagement.
* Industry and research exhibition opportunities.
* Both traditional and hands-on tutorials.
* Double blind, and 10 pages in IEEE 2-column format.
* The conference is jointly sponsored and supported by IEEE CIS, ACM SIGKDD and ASA.

Upcoming deadlines:
10 May 2019- Tutorial proposals submission
9 May 2019- Paper submission

DSAA'2019 website:
DSAA'2019 submission website:

CSS Scientific Awards 2019

last modified Apr 23, 2019 03:40 PM

The Complex Systems Society is proud to announce the 2019 edition of the CSS Scientific Awards. These awards are conferred once a year in two categories: the senior scientific award will recognize outstanding contributions of CSS members at whatever stage of their careers, whereas the junior scientific award is aimed at recognizing excellent scientific record of CSS young researchers (within 10 years of PhD completion). See  and

Deadline: 10 May 2019

Graphia: a new big network analysis platform

last modified Apr 23, 2019 03:39 PM

The biomedical sciences are awash with high dimensional data describing the activity or abundance of genes, proteins and biochemicals. Graphia has been designed to turn such data into correlation networks and to render the often millions of nodes and edges in 3D space, where data structure can be explored and integrated. Due to the size and diversity of networks, Graphia has been specifically designed for speed, scale and agility.

In the context of the biomedical sciences, application areas for correlation analysis include: transcriptomics (RNA-seq, single cell), proteomics, metabolomics, multi-parametric FACS, genome diversity etc., but also the visualisation and analysis of protein interaction data, phylogenetic trees or any relationship matrix. But equally data or networks can be derived from any source.

Graphia runs on all desktop environments and includes a range of built-in graph analytics, e.g. PageRank, MCL clustering, enrichment analysis etc. and a wide range of options for graph transformation, i.e. filtering of nodes and edges based on attribute information.  It also offers dynamic graph layout so any change to the graph structure is immediately reflected in the layout. You can also call up web pages directly from the node or link to a database of your choice. In terms of visualisation, then there is an advanced range of options to colour/size nodes and edges based on attribute data (imported or calculated within the tool).

Import of graph-based data is based on standard formats (.gml, .graphml) or more simple text-based formats (.txt, .csv).

Graphia is made produced by Kajeka, a University of Edinburgh spin-out company and is available for a 30-day free trial

12 PhD Positions for the 'CAFE: Climate Advanced Forecasting of sub-seasonal Extremes' project

last modified Apr 23, 2019 03:38 PM

We are happy to announce that we are offering 12 Marie Curie PhD Positions for the MSCA ITN 'CAFE: Climate Advanced Forecasting of sub-seasonal Extremes' project.

The ultimate goal of the CAFE project is to improve the sub-seasonal predictability of extreme weather events through the interdisciplinary training of 12 ESRs in aspects such as climate science, complex networks and data analysis.

If you have obtained or are about to obtain a master degree in physics, meteorology, mathematics, statistics, Earth sciences or similar topics (or if you know of a potential candidate who could be interested), and would like to make a significant contribution to the knowledge of climate, weather and related challenges, CAFE would like to hear from you. We look forward to applicants with excellent analytical skills, dedication and enthusiasm for interdisciplinary research combined with openness and curiosity, communication capabilities and willingness to contribute to an inspiring and collaborative community. The successful candidates will be hired for 36 months, with an attractive salary in accordance with the MSCA regulations for Early-Stage Researchers.

More information, including details of the projects and work locations, can be found here:

Application deadline: 17:00 on 20th May 2019 (Europe/Brussels)

Network Neuroscience Satellite at NetSci 2019

last modified Mar 18, 2019 12:35 PM

Hackathon website:

We are delighted to announce our Network Neuroscience satellite to be held on Tuesday 28th May as part of NetSci 2019, Burlington VT, USA. We invite your participation, and kindly ask you to spread this call as widely as possible.

We are inviting contributions for a number of poster and oral presentations. Please note that we have only a limited number of slots available for oral presentations, and encourage you to consider submitting your work as a poster. Submit your abstract (1 page pdf, no more than 500 words) by March 22nd; decisions will be communicated by April 5th.

We welcome submissions from all areas of Network Neuroscience, to include (but not limited to):
(i) Interactome networks;
(ii) Transcriptional and gene regulation networks;
(iii) Structural brain networks (imaging);
(iv) Functional brain networks (imaging);
(v) Brain networks - theory, modeling and analysis;
(vi) Signal processing and information flow;
(vii) Circuit dynamics;
(viii) Brain-behaviour interactions;
(ix) Systems neuroscience.

Please see our website for updates and further information. Note that one day rates are available if you are not attending the whole NetSci conference (early registration ends April 10th)

Uncovering and understanding the relationship between elements in complex networks has helped propel Network Science in various fields, including neuroscience. The brain is inherently multiscale and multivariate in nature, and understanding each part of the hierarchy and their interconnectedness is vital to understanding brain structure, function and cognition. Genes and proteins interact on the subcellular level. Subsequent populations of cells connect - and integrate within different brain regions - to support and propagate coordinated excitations of neural signals. As dynamic patterns emerge within network circuitry, these signalling patterns integrate to ultimately self-organise the whole organ - itself a cohabitant within the body - which seeks to interact with its external environment and social systems. Studying the brain at these various levels has led to the emergence of Network Neuroscience: a Network Science affiliated field within the brain-based scientific frontier.

Following the success of the event last year in Paris, we are again sponsoring a network neuroscience-related hackathon the weekend preceding the satellite.