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last modified Mar 26, 2021 10:02 AM

June 28-July 2, 2021

The 2021 Network Neuroscience Satellite of the Networks2021 conference will happen online between June 28 and July 2, with the most likely dates being June 30/July 1 (TBC soon).

Background and Motivation:

Recent technological developments have enabled mapping and recording of neural systems withunprecedented coverage and detail. Increasingly, the brain’s structure and function are approached from the perspective of complexity and networks, with theoretical and empirical/computational studies that conceptualize the brain as a complex system, composed of elements and interactions that are dynamically and functionally integrated. Network science offers important conceptual tools, insights, and robust computational methods for dynamic network systems’ analyses. At the intersection of networks and brain science, the interdisciplinary field of Network Neuroscience is now addressing a broad range of both basic and applied scientific questions, regarding many aspects of brain architecture and function.

This satellite will provide an opportunity for participants with diverse backgrounds to present cutting-edge research, discuss latest network findings and exchange ideas.

For more information, see:

Deadline for abstracts: 9th April

An AI revolution in science? Using machine learning for scientific discovery

last modified Mar 26, 2021 10:01 AM

Monday, 26 April 2021, 5.00pm to 7.00pm
Accelerate Programme for Scientific Discovery

What role could AI play in advancing the frontiers of science? And how can researchers benefit from advances in AI technologies? Neil Lawrence, DeepMind Professor Machine Learning here, will host a panel discussion on Monday 26 April to debate these questions.

Hosted by Professor Neil Lawrence, the event will feature contributions from:

Kyle Cranmer, Professor of Physics, New York University;
Emily Shuckburgh, Director of Cambridge Zero, University of Cambridge;
Pushmeet Kohli, Head of AI for Science, DeepMind; and
Yolanda Gil, Professor of Computer Science, USC.

The discussion will start at 17:00 BST and is open to anyone interested in attending. To do so, please register here:

Next seminar 'Making connections: brains and other complex systems'

last modified Mar 26, 2021 10:00 AM

The next talk in the seminar series 'Making connections: brains and other complex systems' will be given by Prof Gasper Tkacik and take place on the 22nd April (after a short break for Easter). Prof Tkacik's title will be 'Statistical analysis and optimality of biological systems'.

Full details can be found here:

To get the zoom link for the talk (nearer the time), please sign up to our mailing list, here:

Brains, Minds and Machines Summer Course 2021

last modified Mar 26, 2021 09:59 AM

A Special Topics Course at MBL Woods Hole, MA
Directors: Gabriel Kreiman, Boris Katz, and Tomaso Poggio
Course Dates: August 5 – August 26, 2021

Application Deadline: April 6, 2021

Fully-funded PhD studentship, University of Edinburgh, UK, using SNA and advanced statistical methods

last modified Mar 26, 2021 09:58 AM

PhD Opportunity – University of Edinburgh

An ESRC-funded PhD studentship open to national and international students is available at the School of Social and Political Science, University of Edinburgh. The studentship will require the use of advanced statistical methods and social network analysis.

Full details about the fellowship entitled 'Analysing social support and the influence of personal networks and residential areas using cross-classified multilevel models (CCMM)' are available at:

The deadline for applications is 31 March 2021

Postdoc position in machine learning for brain connectomics

last modified Mar 26, 2021 09:57 AM

Institute of Neuroscience and Medicine, Research Center Jülich, Germany

Expected start: June 2021 (with some flexibility)

A postdoctoral position in machine learning for brain connectomics is available at the Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7) with Prof. Dr. Simon Eickhoff and Dr. Kaustubh Patil within a project under the DFG-funded priority program SPP2041 “Computational Connectomics”. The position will be for 2 years with a potential for extension.

The primary duties of the postdoctoral researcher will be to build predictive models using large neuroimaging datasets and write manuscripts for publication. As a postdoc, you will have the opportunity to develop and apply skills in cutting-edge machine learning and artificial intelligence methods (e.g., deep learning) and neuroscience to understand the typical and atypical brain ageing and assist in supervision of junior (MSc and PhD) researchers. You will work in a highly motivated inter-disciplinary team and contribute towards general aims of the institute. We have access to state-of-the-art CPU and GPU clusters at the Jülich supercomputing center.

For more information, see:

Assistant or Associate Professor in Machine Learning / Data Science @ CEU, Vienna

last modified Mar 26, 2021 09:57 AM

We are hiring an Assistant or Associate Professor in Machine Learning / Data Science to join us at the Department of Network and Data Science, Central European University, Vienna, Austria.

We are searching for someone with experience with social or behavioral data and/or research at the interface between machine learning and network science.

Application deadline: Review of applications will begin March 31, 2021 and will continue until the position is filled.

For more details see:


last modified Feb 15, 2021 01:50 PM

Registration is now OPEN for CONNECT 2021, a Social Network Analysis seminar series covering network visualization, relational data collection, and network modeling. Leading SNA researchers from around the world are coming together to provide lectures and labs.

There are seven sessions in the series. Each session is composed of a 2-hour lecture, followed by a 2-hour lab in R. No formal background in SNA or R is required. This series is geared towards graduate social science researchers that would like to begin exploring this exciting methodology.

Events are free to attend. However, space is limited.

To register, click here:

-CONNECT 2021 Team

Networks 2021- deadline extended

last modified Feb 15, 2021 01:42 PM

The abstract submissions deadline for Networks 2021 has been extended to Wednesday, Feb. 17, at noon ET.

You are welcome to submit a new abstract and withdraw or edit an existing one here until the new deadline.

The conference steering committee is currently evaluating hybrid and virtual options for the conference, and will have a more definitive announcement regarding the conference format in the coming weeks, pending conversations with the hotel.

The committee are also adding virtual presentation hours more suitable for international presenters (particularly Asia-Pacific).

For more information, see:

Call for nominations for prizes and awards of the Network Science Society

last modified Feb 15, 2021 01:41 PM

For all prizes and awards, the completed nomination package must be received at the e-mail address indicated in the specific call on or before April 1. A letter of intent (LOI) indicating just the names of the nominator, co-nominators, and nominee should be sent by March 15. The LOI is optional but strongly recommended. Decisions are expected to be communicated to the nominators/nominees by April 30 of 2021. Details of the material to be submitted and corresponding email addresses can be found in the following links:




Complex Network proceedings

last modified Feb 15, 2021 01:23 PM

We are delighted to inform you that the proceedings of COMPLEX NETWORKS 2020 are available for free during two weeks. You can download the two volumes from the home page of the conference website:

Beyond Facts - 1st International Workshop on Knowledge Graphs for Online Discourse Analysis

last modified Feb 15, 2021 01:22 PM

1st International Workshop on Knowledge Graphs for Online Discourse Analysis

Collocated with TheWebConf (WWW) 2021

April 19 - 23, Ljubljana (Slovenia)

Expressing opinions and interacting with others on the Web has led to the availability of an abundance of online discourse data, such as claims and viewpoints on controversial topics, their sources and contexts (related events or entities). Discourse data constitutes a valuable source of insights for studies into misinformation spread, bias reinforcement, echo chambers or political agenda setting and is crucial as training/testing data for various NLP tasks. While knowledge graphs (KGs) promise to provide the key to a Web of structured information, they are mainly focused on facts without keeping track of the diversity, connection or temporal evolution of online discourse data. As opposed to facts, claims are inherently more complex. Their interpretation strongly depends on the context and a variety of intentional or unintended meanings, where terminology and conceptual understandings strongly diverge across communities from computational social science, to argumentation mining, fact-checking, or viewpoint/stance detection.

This workshop aims at providing a forum for shared works on the modeling, extraction and analysis of discourse on the Web, strengthening the relations between the fields of natural language processing (NLP,, computational linguistics, semantic web, knowledge graphs, argument mining and modeling, social sciences/communication studies, web science and computational social sciences. It will address the need for a shared understanding and structured knowledge about discourse data in order to enable machine-interpretation, discoverability and reuse, in support of scientific or journalistic studies into the analysis of societal debates on the Web.


* Full papers (up to 8 pages, plus references and appendix) may contain original research of relevance to the workshop topics.
* Short papers (up to 4 pages, plus references and appendix) may contain original research in progress of relevance to the workshop topics.
* Demo and system papers (up to 4 pages, plus references and appendix) may contain descriptions of prototypes, demos or software systems related to the workshop topics.
* Resource papers (up to 4 pages, plus references and appendix) may contain descriptions of resources related to the workshop topics, such as ontologies, knowledge graphs, ground truth datasets, etc.
* Position papers (up to 4 pages, plus references and appendix) may discuss vision statements or arguable opinions related to the workshop topics.
* Posters (up to 2 pages) may contain preliminary work in progress related to the workshop topics.

All submissions must be written in English and adhere to the ACM template and format (
Papers have to be submitted electronically via the EasyChair conference submission system:

Important Dates:

* Papers due: February 15, 2021
* Paper notifications: February 28, 2021
* Paper camera-ready versions due: March 7, 2021
* Workshop: April 19 or April 20, 2021

Call for applications: Turing Internship Network

last modified Feb 15, 2021 01:20 PM

The Alan Turing Institute is delighted to share with you the details of a new round of the Turing Internship Network, a programme which is designed in collaboration with our business partners and in the aim of enhancing our training offering for doctoral students. The Turing organises and facilitates matching between internship projects and potential applicants for the Turing Internship Network. The business partners will directly host, supervise, and pay the successful interns.

First round of applications deadline: Monday 22 February 2021 at 12:00 noon GMT.
Final deadline: Monday 8 March 2021 at 12:00 noon GMT.

For more details, see:

MultiNet Fellows Exchange Program

last modified Feb 15, 2021 01:20 PM

Initial application deadline for 2021-22 academic year:

Priority Deadline is March 29, 2021, but applications will be considered on a rolling basis.

For more general program information and to learn about AccelNet-MultiNet, please visit: This program announcement and the links to the application form can be found at

We have opened a competitive application process for international exchanges between the US and other countries. Participants coming to or originating from one of the founding hubs Indiana University and Northeastern University, Universitat de Barcelona, ISI Foundation, Central European University, and Centre de Physique Théorique will be prioritized, but we anticipate there will be additional funds to support exchanges involving other institutions. At this time, because of NSF restrictions all exchanges must involve a US-based early career researcher traveling internationally or a non-US based early career researcher traveling to the US.

Who is eligible:

Applicants may either be advanced graduate students (post-coursework, see restrictions online) with training in network science or early career scholars (post-doc research scientist, early faculty) with training in the field.

Regardless of career status, due to restrictions on our current grant funding, we can presently only sponsor participants coming from or going to US-based institutions. We cannot sponsor within country travel in the US or between or within other countries at this time (but we are working on expanding this).

Graduate student exchanges may also involve specific home and host institution eligibility requirements (such as being in good standing or reaching a certain advancement stage) beyond our control. We will work with you and your institution to determine what these are after considering your application.

How to apply:

For more information, visit our program announcement and fill out a short application form linked there to indicate interest for the 2021-2022 academic year by March 29. Applications sent after this time may be considered with space available or for future years.

If you have questions, you can email

Senior Data/Network Scientist at Scipher Medicine

last modified Feb 15, 2021 01:19 PM

Scipher Medicine (Founded by Prof Laszlo Barabasi and Prof Joe Loscalzo) is a leading biotech company devoted to solve the unmet need in healthcare using network science and AI.

The Senior Data Scientist will lead the technical team to develop and apply state-of-the-art computational and statistical methods to deliver testable hypotheses and biological insights in Therapeutics and Diagnostics.

For more information, see:

Professorial vacancy in social statistics at the University of Manchester

last modified Feb 15, 2021 01:17 PM

The Department of Social Statistics at the University of Manchester is looking to appoint a Chair in Social Statistics/Quantitative Social Science from 1 September 2021.

Applicants must have established an international reputation in Social Statistics or Quantitative Social Science, supported by a strong record of published research output and a wider record of achievement.
Applicants with specializations across Quantitative Social Science are invited, and specialization in social network analysis is particularly welcome.

If you have further enquiries, please contact

Further information is available at:

Closing date (DD/MM/YYYY): 09/03/2021

Merry Christmas!

last modified Dec 21, 2020 04:25 PM

Merry Christmas from CNN! We hope you have a wonderful, relaxing break over the festive period.

Turing enrichment scheme

last modified Dec 21, 2020 04:22 PM

Now entering its sixth year, the Enrichment scheme offers students currently enrolled on a doctoral programme at a UK university the opportunity to undertake a 6, 9 or 12-month placement at the Turing or at one of the two new locations in the scheme. For the first time this year we are partnering with the Jean Golding Institute at the University of Bristol and the Leeds Institute for Data Analytics at the University of Leeds to offer a new exciting opportunity for Enrichment students to engage with an even more diverse community of researchers located in three key areas in the country.

Students continue their PhD in conjunction with their current supervisor, while enriching their research and making new collaborations during their time spent on the scheme.

Enrichment places are offered part-time or full-time with a choice of three different start dates. While on placement students are expected to work out of the Turing offices in the British Library, the Jean Golding Institute at the University of Bristol or the Leeds Institute for Data Analytics at the University of Leeds.

Enrichment students may be eligible for a stipend top up of up to £6,700 in London and £5,200 in Bristol and Leeds and/or a travel allowance.

To find out if you are eligible and for details of how to apply please visit our website:

Applications should be made directly to the Turing by Tuesday 2 February 2021.

Women in Network Science

last modified Dec 21, 2020 04:21 PM

Women in Network Science (WiNS) is taking nominations for leadership roles. Students, postdocs, faculty (including contingent faculty), and research staff at any rank or leve are welcome to apply. Self-nominations are encouraged!

WiNS aims to foster opportunities for the education, employment, and career advancement of women and non-binary researchers in network science. Its current leaders (Alice Schwarze and Brooke Foucault Welles) are working to formalize the society's structure and there are several opportunities for women in network science at all career stages to get involved! To become a member, join the society's council, or get involved in other ways, please fill out the contact form:

Not familiar with WiNS? Check out our (virtual) speaker series here:

And learn more about WiNS here:

SAMSI Opening Workshop Day on Networks in Neuroscience, Health, and Information Spread

last modified Dec 21, 2020 04:21 PM

Please join us for Virtual Opening Workshop of the SAMSI Spring 2021 Program on Data Science in the Social and Behavioral Sciences, January 5, 11 and 12, 2021. The last of the three days is devoted to networks.

Registration is free at .

The Registration Deadline is December 28, 2020