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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.

Session on Using Network Research for Impact Evaluation- Sunbelt 2019

last modified Jan 15, 2019 04:08 PM

We kindly invite you to submit your abstract to the organized session "USING NETWORK RESEARCH FOR IMPACT EVALUATION" at the XXXIX Sunbelt conference in Montreal (June 18-23, 2019).

The session is dedicated to strengthening links between network research and impact evaluation (including direct and indirect impacts, short and long term effects, etc.). Work at the intersection of these fields lags behind expectations. Furthermore, the theoretical, empirical, and methodological approaches fail to consider this intersection comprehensively. Closing this gap should contribute to open up new perspectives in the field of impact evaluation. Moving toward to such new perspectives promotes the development of new research approaches and methodological frameworks, especially for social impact assessment. This session will offer a forum to present contributions to the field of impact evaluation by focusing on network data collection, methods, visualizations, and the use of technology for network-based evaluation. Innovative approaches of network research within the broader area of evaluation are welcome.

We invite abstract submissions that contribute to the consolidation of network research in the field of (social) impact evaluation.

Please submit your abstract by using the conference submission system

Deadline: February 1st, 2019, 23:00 (EDT-UDC-5:00).

13th HNR Workshop: Networks across Time and Space, 27-8 May 2019 in Mainz, Germany

last modified Jan 15, 2019 04:07 PM

The next Historical Network Research workshop on "Networks Across Time and Space: Methodological Challenges and Theoretical Concerns of Network Research in the Humanities" will take place on May 27/28th at the Academy of Sciences and Literature in Mainz, Germany. It invites scholars from all field of the humanities to join an interdisciplinary conversation on the promises and pitfalls of applying theories and methods from social network research to the study of structures within very diverse cultural, geographical, and historical contexts.

This 13th edition of the HNR workshop series is organized by Aline Deicke (ADW Mainz), Dr. Lieve Donnellan (Aarhus University) and Dr. Henrike Rudolph (Friedrich-Alexander-Universität Erlangen-Nürnberg).

Submission of abstracts for projects or statements concerning the motivation of participation (about 300 words) are due February 28th.

Please send them to the workshop email address:

Further information can be found on the event's website.


last modified Jan 15, 2019 04:06 PM

The Tenth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2019)
May 20-22, 2019, Casablanca, Morocco

July 07-09, 2019
Luton, UK

The Tenth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2019) is a forum for researchers to present the intensive and innovative research, ideas, developments and applications in the areas of Computer Communications, Communication networks, Communication Software Communication Technologies and Applications, and other related themes.

Paper Submission at

JIMIS - Analysis of Graphs & Complex Networks

last modified Jan 15, 2019 04:05 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).

The deadline for abstract submission is the 3rd of February 2019.

This is the 2nd call, and the CFP is also available on the journal's Website:

The submission website is now open, at the following URL:

Call for papers- special issue on Complexity and the city in applied network science

last modified Jan 15, 2019 04:05 PM

Cities worldwide are well known to be living laboratories to experiment on modeling, characterization, optimization, and control of complex systems. Complex phenomena, in fact, evolve within cities with multiple and intertwined space and time scales, yielding emerging behaviors whose explanation is never simple. Moreover, cities encompass networked systems, very often overlapped or
stacked in layers: information, transportation, power grids, epidemics, pedestrians, are just a few examples of such networks. To address the complexity of urban systems, a broad range of interdisciplinary topics should be covered that touch on issues from the network science, cyber–physical systems, to policy and finance perspectives in smart cities.

This special issue will collect contributions aiming at modeling, characterizing, optimizing, and controlling complex and networked systems, with a particular focus on urban environments.

We encourage submissions on theory, methods, and applications of complex and networked systems in urban environments. Topics of interest include but are not limited to theoretical aspects, algorithms, methods, and fields of applications.

Expression of interest and abstract submission: February 17, 2019

Network science PhD positions at QMUL

last modified Jan 15, 2019 04:04 PM

The School of Mathematical Sciences at Queen Mary University of London invites applications for a PhD project commencing either 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 31 January 2019 for most funded studentships.

The list of projects can be found at:

Post-doctoral position in the Barabasi lab

last modified Jan 15, 2019 04:03 PM

The lab of Professor Albert-László Barabási, together with the Network Science Institute at Northeastern University and the Division of Network Medicine at Harvard University, is looking for postdoctoral associates in the area of network science, science of science, science of success, and network medicine. We are seeking motivated individuals with experience in network science and interest in applying it toward both social and biological systems. The ideal candidate has a physics, economics, computational sociology, computer science, bioinformatics, or mathematics PhD, and previous work experience in networks, science of success, or network biology/bioinformatics.

For a range of projects characterizing the lab, see Our current work spans the applications of networks toward quantifying success in scientific careers to understanding the fundamentals of network dynamics.

For more information, see: