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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.

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MoN18: Eighteenth Mathematics of Networks

last modified Mar 18, 2019 12:31 PM

MoN18, the eighteenth Mathematics of Networks meeting will be held on 8th April 2019 at the Mathematical Institute, University of Oxford.  The theme for this meeting is "dynamics on networks and dynamics of networks". Talks can be submitted on any topic but those on theme will be given preference. Thanks to Andrew Mellor and Ebrahim Patel, our local organisers. The meeting webpage is

Registration for audience members is required for catering numbers, and is now open at

About Mathematics of Networks: MoN is an informal series of meetings that has now been running since 2003. The series encourages interdisciplinary communication in networking research. It is an excellent venue for presenting new ideas or gaining a wider audience for established research. Presentations on any aspect of networks are welcomed, particularly if the techniques or conclusions are applicable in other networking disciplines. Attendance is free of cost.

VI Mediterranean School of Complex Networks

last modified Feb 18, 2019 12:58 PM

We are calling for applications from students and young researchers in Network Science for the 6th edition of the Mediterranean School of Complex Networks, which will take place in Salina (Italy), 31 Aug-6 Sep 2019.

Early applications are expected before 31 March 2019 (no payment required at this step).

Since its first edition in 2014, our School trained more than 190 early-career researchers in Network Science from 4 continents. All details about previous editions, location, important dates and travel are available at the official website:

Please, note that for the youngest researchers (no more than two years from their PhD completion) who are members of the Complex Systems Society, we will grant up to two scholarships covering the registration fee.

Complex Networks 2019- Lisbon

last modified Feb 18, 2019 12:57 PM

Eighth Int. Conference on Complex Networks & Their Applications Lisbon, Portugal Dec. 10- 12, 2019

You are cordially invited to submit your contribution until September 03, 2019.

Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome.

- Papers will be included in the conference proceedings edited by Springer
- Extended abstracts will be published in the Book of Abstracts (with ISBN)
- Extended versions will be invited for publication in special issues of international journals.

For more information, see:

Alan Turing Data Study Group- April 2019

last modified Feb 18, 2019 12:56 PM

The next Alan Turing Data Study Group will be held at The Alan Turing Institute from 8 to 12 April 2019.

Data Study Groups bring together researchers, data practitioners, and industry representatives from leading organisations to work together on data science challenges posed by partner organisations in multi-disciplinary teams, enabling researchers to build collaborations and work with real-world industry datasets.

In April we will host the following challenges:

Roche - Personalised lung cancer treatment modelling using electronic health records and genomics
Great Ormond Street Hospital - Augmenting clinical decision making in intensive care (ACaDeMIC)
NATS UK Air Traffic Services Provider - Using real world data to advance air traffic control
Spend Network - Automated matching of businesses to government contract opportunities
British Antarctic Survey - Seals from space: automated Antarctic ecosystem monitoring via high-resolution satellite imagery

Deadline to apply: Monday 4 March 12:00 noon GMT.

For more information, see:

Workshop: Critical and Collective Effects in Graphs and Networks - 2019. Les Houches, France

last modified Feb 18, 2019 12:55 PM

Workshop on Critical and Collective Effects in Graphs and Networks (CCEGN - 2019).
Les Houches (France). May 5-10, 2019.

The web page of the workshop with the information about topics and speakers may been found here:

The main topics of the workshop include:
1) Spreading phenomena and other dynamical process on networks, Griffiths phases and spectral methods;
2) Metric structure of random graphs, and spatially embedded random graphs;
3) Random graphs with quenched disorder, microcanonical and canonical ensembles of random graphs, phase transitions, belief propagation and related questions;
4) Statistical methods in interdisciplinary applications: social and ecological networks, genomic networks, neuroscience.

Online registration is open till 5 of April 2019. All information about the registration can be found at the web page of the workshop in the section "Registration".

NetMob 2019- Oxford

last modified Feb 18, 2019 12:53 PM

Where and When:
Mathematical Institute, Oxford University, Oxford, UK
July 8-10, 2019

NetMob is the primary conference in the analysis of mobile phone datasets in social, urban, societal and industrial problems. Previous editions in Boston and Milano brought together more than 250 researchers, practitioners and decision-makers from more 140 institutions and 30 countries.

Call for abstracts:
The conference format is flexible: one track of short contributed talks, a simplified submission procedure (1-page abstracts only), and the possibility to present recent results or results submitted elsewhere. We welcome all contributions that deal with the analysis of mobile phone datasets. This includes but is not limited to the analysis of CDRs, mobile location data, wifi usage, app-generated data, Twitter, Facebook, etc.

Important dates:
*Submission deadline: 15 March 2019
*Notification of acceptance: 30 March 2019
*Registration opening: 30 March 2019

Entropy- special issue

last modified Feb 18, 2019 12:52 PM

The journal Entropy (IF: 2.3) has opened a call for papers for a special issue edited by Dr. Lucas Lacasa devoted to entropy and complexity measures in nonlinear dynamics and complex systems, including network science. Both theoretical and applied papers are welcome.

The link is here:

Deadline for manuscript submissions: 30 September 2019

JIMIS- special issue

last modified Feb 18, 2019 12:52 PM

We invite submissions for a special issue of JIMIS, the Journal of Interdisciplinary Methodologies and Issues in Science, on the topic of the Analaysis of Graphs and Complex Networks. JIMIS is published by Épisciences/CNRS (French national center for research).

Several authors have asked for an extension, so the deadline has been changed to the 17 of March 2019.

The CFP is available on the journal's Website:
The submission process is conducted on EasyChair:

methods@manchester Summer School 2019

last modified Feb 18, 2019 12:51 PM

1-12 July 2019

The seventh methods@manchester Summer School will be held at The University of Manchester from 1 July to 12 July 2019. Each course at the school will run for one week, offering four days of content to a five-day timetable (Monday afternoon to Friday lunch-time), building on successful methods@manchester and CMIST short-courses given throughout the year.

The school offers a range of specialised courses covering a variety of topics that are particularly relevant to postgraduate and ECR research in humanities and social sciences. The selection includes software training, qualitative and quantitative analysis, area studies, and research design. The course content is based on approaches from across the various schools in the Faculty of Humanities at the University of Manchester.

We also offer daytime catering of the event, optional social outings during the summer school period, and advice on transport and accommodation if you are travelling to Manchester to attend a course.

Full details, including lists of courses (which include introductory and advanced courses in SNA), are given here:

Greenwich Summer of DANS 2019

last modified Feb 18, 2019 12:50 PM

Summer school on data and network science
Centre for Business Network Analysis, University of Greenwich
London, 10-14 of June 2019

The Greenwich Summer of DANS 2019 is a summer school on data and network science organised at the University of Greenwich, London. The school has a dynamic study programme where participants will have a central role. It brings together a team of international lecturers and experts with academic and industrial experience to friendly guide you through fundamental aspects of data and network science with applications to social media, social contagion and business analytics. The school will have a mix of theory, specialised seminars and computer labs, plus allocated time to develop a team project to be presented at the end of the school. The school is not only about data and network science methods but a full learning experience to develop creativity, teamwork and most of all, to have fun.

The expected audience are Master/PhD students, researchers and professionals interested on data and network science who are comfortable with some math and computer programming. No hard skills are expected though.


Phd fellowship available at University of Cyprus

last modified Feb 18, 2019 12:49 PM

Title: Marie Sklodowska-Curie PhD fellowship on “Exercise Habits and Social Contagion" at the University of Cyprus

Applications are invited for one PhD fellowship position on Big Data Analytics with focus on “Exercise Habits and Social Contagion” at the University of Cyprus. The fellowship is fully funded under the Marie Sklodowska-Curie
European Training Network (ETN) project “RAIS: Real Time Analytics for the Internet of Sports.”

The Fellow will be hosted at Social Analytics and Networks Lab and co-advised by Christos Nicolaides from University of Cyprus and Dean Eckles from MIT Sloan School of Management.

Position Code: RAIS-UCY-ESR11 “Exercise Habits and Social Contagion Patterns”:

All Details about the position and how you can apply can be found here:

For more info and expression of interest please contact Christos
Nicolaides at:

Applications received by 1st March, 2019 will be considered in the first evaluation cycle. – seeking network scientists

last modified Feb 18, 2019 12:48 PM is a Cambridge-based startup, and using powerful new computational tools to shake up the knowledge-broking industry – our software indexes and ranks experts for their ability to speak on any defined niche. This allows companies to access the expertise needed to make mission-critical decisions; bringing important goods and services to market faster, and changing the course of humanity for the better.

Network-based thinking is a central part of our search and ranking engine's methodology, as we build a model of the links between experts and their field more widely to evaluate their influence.

We're therefore seeking postgrads with a background in network science to join our team this autumn, with internships available in the interim – and we'd be interested in hearing from any network scientists interested in learning more about us or collaborating. If you're interested in coming to work directly on our search and ranking algorithms, then a quantitative approach and experience programming in Python are a must, and some experience with machine learning or cloud providers like AWS would be a definite plus!

Our work is exciting and fast-paced. As one of our team you'll develop cutting-edge technologies, and see the real-world benefits that your work brings. We pay well, and offer generous bonus and options schemes and employee benefits. Our lovely team come from a wide variety of backgrounds, and we have regular socials, external events, and an awesome yearly retreat abroad.

If you'd like to learn more, or maybe to come and visit us at our beautiful startup pad just outside the city, please drop Amrit an email ( We look forward to hearing from you!

Postdoc in Topological and Network Neuroscience

last modified Feb 18, 2019 12:47 PM

We invite applications for one Postdoctoral Researcher in Topological and Network Neuroscience to work with Dr. Giovanni Petri at ISI Foundation.

This is a full-time, 1-year fixed term position (renewable for a second year).  This interdisciplinary project will leverage recent advances in topological data analysis tools to investigate structural and dynamical alteration in brain connectivity and functions, with special attention to neurodegenerative diseases. The appointed researcher is expected to interact with members of the group, as well as with graduate and phd students, and to work across a range of applications of network and topological data analysis, exemplified by the multiple internal and external collaborations (with the ISI "Mathematics and Foundations of Complex Systems" Lab led by Prof. Yamir Moreno, with the computational neuroscience group led by Dr. Demian Battaglia, Aix-Marseille; with the Brain Dynamics Lab, led by Prof. Manish Saggar, Stanford;  with the cognitive control lab led by Prof. Jonathan Cohen, Princeton). While the appointed researcher will focus on analysis and modelling of neurodegenerative conditions, the techniques developed  are expected to be valuable across a range of data-driven approaches, e.g. complex systems, computational topology, machine learning and computational mesoscopic modelling.

For more details, see:

Post-doctoral fellowship on Networks and Health

last modified Feb 18, 2019 12:46 PM

A fellowship on Networks and Health is currently available in the Community Interventions for Infection Control Unit (CI-ICU), Division of Global Migration and Quarantine (DGMQ) at the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia. CI-ICU plays a key role in the development of recommendations on use of non-pharmaceutical interventions (NPIs) for mitigating the transmission of pandemic influenza. Community-level NPIs can be added during pandemics and implemented in a graded fashion depending on the severity of the pandemic; these include measures aimed to reduce social contacts between people in schools, workplaces, and other community settings.

The specific opportunities for the fellow include:
Conduct social network analysis to assess social contact and mixing patterns in schools and workplaces.
Collaborate on epidemiological and modeling projects on NPIs.
Develop innovative strategies for reducing or slowing the transmission of pandemic influenza.

The fellowship details can be found at

Data Science for Social Good 2019 Summer Fellowship- the Alan Turing Institute

last modified Jan 15, 2019 04:14 PM

Applications are now open for the first UK edition of the Data Science for Social Good (DSSG) Fellowship. The fellowship is a 12-week programme in summer 2019 which will bring together some of the top talent from data science, machine learning, artificial intelligence and other related areas to analyse real-world data science challenges for non-profits and government organisations.

Masters, PhD and graduate students are eligible to apply for the fellowship and potentially final year undergraduates. The programme is open to students worldwide. DSSG fellows make a full-time commitment and receive a stipend to cover expenses.

Find out more information and how to apply here:

The deadline for applications is 31 January 2019.

Chaucer club lecture- The Cambridge NeuralNET

last modified Jan 15, 2019 04:13 PM

David Rowitch (Dept of Paediatrics, University of Cambridge)
The Cambridge NeuralNET: Investigating origins of brain and mental health
Hosted by: Kate Baker
4pm, Lecture Theatre at the MRC Cognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Rd, Cambridge, CB2 7EF

For more details, and a list of the rest of Lent term's Chaucer club lectures, see:

Data Natives 2019

last modified Jan 15, 2019 04:12 PM

March 1st at City, University of London.

Data Natives is back for the 5th edition!

Join us for a relaxed day of networking and presentations on human behaviour, cities, computational social science and complex networks, among the other things. If you are PhD or PostDoc and excited about sharing your research and ideas with like-minded people, please select the "Abstract Submission & Attendee Registration" option and send us a ~200 words abstract by February 8. If you are just curious about Data Science, you can register as an attendee (but if you have a piece of research please do not be shy and submit an abstract!).

Talk on Engineering Bioinspired Molecular Networks and Synthetic Cells

last modified Jan 15, 2019 04:11 PM

Prof. Tom De Greef, TU Eindhoven
Friday 18 January 2019, 16:00-17:00
Ryle Seminar Room, Cavendish Laboratory, Cambridge, UK

Complex signalling networks enable living cells to process information from their environment using an intricate network of regulatory interactions. These biochemical circuits function by converting an input signal (stimulus) through spatiotemporal interplay of signalling molecules (transduction) to an output response (function). Inspired by biology, we engineer a range of minimalistic, artificial signalling systems by employing a cell-free bottom-up strategy. Such simplified model systems composed of fewer species each with well-defined interactions could help isolate key molecular parameters and thus have the potential to uncover generalizable concepts. In this lecture I will discuss the influence of molecular scaffolds on caspase catalysis, retroactivity in bistable circuits and a synthetic cellular consortium that is able to communicate by DNA -based messages.

Machine learning meets statistics workshop

last modified Jan 15, 2019 04:10 PM

25th and 26th March 2019, Cambridge, UK

Traditional statistical analysis and machine learning have many things in common but usually follow paths that are quite different. For prediction, traditional statistical analysis usually begins with a theory and a model and fits the parameters of the model to the data; machine learning follows a more pragmatic approach, allowing the data more freedom to prescribe the model.  Machine learning often leads to prognostic models that are more accurate but less interpretable.  For medical discovery, traditional statistical analysis usually begins by formulating a hypothesis and testing (the likelihood of) that hypothesis against the data; machine learning asks the data to formulate the (most likely) hypothesis. There are many synergies between these two disciplines and there is enormous potential in developing new fundamental theories and practical methods that transcend the boundaries of these disciplines leading to new and impactful methods to assist clinical practice and medical discovery. This workshop aims to foster such a dialogue and provide a forum for starting collaborations and for cross-fertilisation.

For more information, and to register, see:

Session on Gender and social networks- Sunbelt 2019

last modified Jan 15, 2019 04:09 PM

Organizer: Elisa Bellotti (Mitchell Centre for SNA, University of Manchester)
Session Description: Social network research studies the mechanisms that drive formations of network structures as well as the outcomes of such structures on social behaviour. A well investigated area of research focuses on gender differences in network formations and outcomes in personal and professional networks. Researchers have looked, for example, at the different styles of socializations of boys and girls in early age, varieties of gendered network structures in different cultures, gender differences in peer networks and educational outcomes, gendered structural and cultural constrains of network strategies in organizational studies, different network positions and relational strategies between men and women at work, gender unbalance in academic networks and interlocking directorates.

This session wants to bring together interdisciplinary perspectives on gender similarities and differences in social networks which might be investigated with a variety of methods and modelling techniques. We welcome both highly quantitative modelling studies as well as qualitative research that looks at how discourses and narratives may impact the relational strategies embedded in network structures. We also welcome research that expand the very definition of gender to investigate peculiarities and differences of LGBT social networks.

Abstracts can be submitted at by February 1, 2019.