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CCC talk- The entropic brain during sedation

last modified Sep 07, 2017 12:24 PM

The next CCC talk is on Tuesday 12th September, 11am at the CBU Lecture Theatre (15 Chaucer Rd, Cambridge).
Speaker: Ioannis Pappas (Cambridge Clinical School)
Title: The entropic brain during sedation

Ioannis’s research focuses on applying modern graph-theoretic tools to functional brain networks. He is particularly interested in investigating global network characteristics during different tasks and/or consciousness states. In addition, he is interested in developing probabilistic models for inferring latent network mechanisms that may regulate brain connectivity during loss of consciousness.

Complex Networks 2017- deadline extension

last modified Sep 07, 2017 12:21 PM

6th Int. Conference on Complex Networks & Their Applications
Lyon, France, November 29 - December 1, 2017

Due to many requests the submission deadline to COMPLEX NETWORKS 2017 is extended to:
September 18, 2017 (Firm deadline)

Full papers (up to 12 pages) and Extended Abstracts (up to 3 pages) are welcome.

CompleNet 2018 - 9th Conference on Complex Networks

last modified Sep 06, 2017 08:52 PM

Boston (MA, US)
March 5-8, 2018

CompleNet is an international conference that brings together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems. CompleNet is a venue to discuss ideas and findings about all types networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.

* Abstract/Paper submission deadline: October 6
* Early registration ends: December 1

Alan Turing Data Debate

last modified Sep 06, 2017 08:50 PM

Data Debate: The future of data in public life

19 September, 18:00 - 20:00
British Library Knowledge Centre

How can our personal data be used to shape opinions, debates, and even win elections? Is big data threatening democracy? Who should we trust and what is the future of data in public life? In this Data Debate, a panel of experts will discuss what the future of data in public life could look like.

Book your ticket at:

XXXVIII Sunbelt Conference

last modified Sep 06, 2017 08:49 PM

June 27 – July 1, 2018 | Utrecht, The Netherlands

Call for Organized Sessions
An Organized Session is a set of paper presentations centered on a specific theme, for which participants can submit abstracts during the regular abstract submission period. Organized sessions consist of at least one 2-hour time slot accommodating 4-6 paper presentations. Please submit any Organized Session proposal before October 15, 2017 (23.59 hrs. CET time).

Call for Workshop Proposals
Workshops cover time slots of half a day (3 hours) or a full day (2 sessions of 3 hours) focused on teaching attendees specific methods, software or theories. You are invited to submit a workshop proposal before October 15, 2017 (23.59 hrs. CET time).

Associate Professor Position at IMT School for Advanced Studies Lucca

last modified Sep 06, 2017 08:48 PM

International Scouting for Associate and Full Professor Position

IMT School for Advanced Studies Lucca invites expressions of interest for an Associate Professor position in the area of complex systems and their analytical description by means of network theory. Candidates must have an excellent record of high-impact international publications with a distinctive multidisciplinary interest and a strong technical knowledge of statistical physics. Candidates must be active in the area of financial and economic networks. Interest and activities focused on neurosciences will be considered a plus.

Activities at the School include: research, tutorship and mentoring of PhD students, graduate teaching and grant applications. The successful candidate will be part of the Networks Research Unit and will collaborate in the shaping of the PhD program.

The deadline for submitting expressions of interest is September 15th 2017 at 11:59 pm, Italian time.

The link to both the full description of the profiles and the online application form is:

Postdoctoral Fellowship at IU

last modified Sep 06, 2017 08:47 PM

Simulation of Information Diffusion in Online Social Networks

The Center for Complex Networks and Systems Research ( at Indiana University, Bloomington has an open postdoctoral position to study how information spreads through complex online social networks. The position funded by the DARPA program on Computational Simulation of Online Social Behavior (SocialSim). The anticipated start date for this position is January 1, 2018 (negotiable). This is an annual renewable appointment for up to 3 years subject to performance and funding.

The postdoc will join a dynamic and interdisciplinary team that includes computer, physical, and cognitive scientists. The postdoc will work with PIs Filippo Menczer, Yong-Yeol Ahn and Alessandro Flammini, other postdocs, and several PhD students on analysis and modeling of social media data. Areas of focus will include empirical analysis of information diffusion patterns, agent-based models for the spread of information, and cognitive models of information processing.

Apply by 8th Oct for best consideration.

Alan Turing Institute Vacancies

last modified Sep 06, 2017 08:44 PM

Programme Directors

Applications are invited for up to three positions, each to lead in areas of strategic importance to the Institute. A list of desired, though not exclusive, areas in which Programme Director leadership would be welcomed is listed below. The role also includes an opportunity for the individuals to lead their own programme of research (% FTE to be negotiated).

This role is ideally suited to candidates who are leading researchers in data science with an outstanding track record in collaborative research across data science related disciplines (mathematical sciences, statistics, computing sciences and/or social sciences) and with deep interests in data-driven methods and/or approaches for tackling real-world problems using data and data science methods and tools.  It offers the opportunity to shape the Institute’s research, training, translation and knowledge exchange priorities and establish new programmes of work. We are particularly interested to hear from candidates whose interests are within data science applied to health and well-being or machine learning and artificial intelligence. Other areas of relevance to the Institute include fundamental challenges in data science and data science for government.

For more information see:


Visiting Researchers

The aim of the Visiting Researcher Programme is to generate collaborations, facilitate knowledge exchange, and explore new or emerging research topics in data science. Applicants are invited to submit proposals to conduct research in any area. We are especially keen to welcome applications from researchers with an interest in advancing the strategic priorities of the Turing.

Applications for full- and part-time placements will be accepted. Typically, placements for Visiting Researchers will last 8-12 weeks. We will consider placements up to six-months, and may consider longer placements in exceptional circumstances.

The deadline for applications is 12:00 noon BST on Wednesday 27 September 2017.

Neural networks conference in Cambridge

last modified Jul 30, 2017 03:19 PM

6th Cambridge Neuroscience Biennial Symposium | "Neural Networks in Health and Disease" | 7-8 September 2017

A two-day international special symposium focusing on "Neural Networks in Health and Disease", which will take place on 7th-8th September 2017, in the West Road Concert Hall in Cambridge and Trinity College.

The theme of this symposium is 'Neural Networks in Health and Disease' comprising seven sessions including 'Building Circuits', 'Network Analysis and Functional Circuits', 'Ageing Circuits', 'Emotional Circuits' and 'Modulating Circuits'.

The programme will feature many distinguished national and international speakers, 22 speakers in total (10 from USA, 4 from Europe and UK and 8 from Cambridge). This is generally a very popular meeting, which attracts an international audience of up to 500 delegates.

There will be a reception and gala dinner at Trinity College on the evening of September 7th 2017. A fantastic line up of speakers have been confirmed so far with Professor Bill Seeley (UCSF) delivering the Andrew Huxley plenary lecture, Ed Callaway (Salk) delivering the Andrew Hodgkin Lecture and Professor Albert-Lazlo Barabasi (Northeastern University) opening the conference.

Register at:
Deadline for data blitz abstract submissions: 11th August.

Spatially Embedded Networks course and symposium

last modified Jul 30, 2017 03:18 PM

The Spatially Embedded Networks project is running a second short course and symposium in Oxford, September 11-14, 2017.  Please see: for more information and to register.

Deadline for abstracts for proposed talks: 7th August.

Turing Institute data study group- Health and Well-Being

last modified Jul 30, 2017 03:17 PM

- Are you interested in collaborations within medical data science?
- Do you want to apply your data science skills to health & wellbeing problems from leading organisations?
- Do you want to get involved with The Alan Turing Institute?

Then join us for the next Turing Data Study Group: Health & Wellbeing to be held 4 – 8 September 2017.

This is a week long opportunity for students, postdocs, and academic staff.

Applications are now open, to read more and register see:

Application deadline: Monday 7 August 12:00 noon

Special CCC talk

last modified Jul 30, 2017 03:16 PM

Konrad Wagstyl will be giving a special CCC talk on "Bringing Big Brain to Cambridge" at the CBU Lecture Theatre in Cambridge on Friday 4th of August at 11am.

Abstract:  BigBrain is a 3D 20micron isotropic histological volume of the human brain, developed by the laboratories of Katrin Amunts (Juelich) and Alan C. Evans (Montreal Neurological Institute) (Amunts et al., Science 2013). It is a freely available dataset, enabling the formation of links between macroscale neuroimaging and microscale neuroscience, and is now used as the reference atlas for the EU's Human Brain Project. In this talk I will present work on deep learning applications for automated identification and analysis of neocortical layers in the BigBrain. I will then briefly discuss other ongoing BigBrain projects including the annotation of high-resolution subcortical atlas for neuroanatomical, neurosurgical and educational purposes alongside the latest work increasing the resolution to 1 micron for neuron-scale analyses.

The full dataset and tools for viewing and analysing the data are being brought to Cambridge and all interested in using the dataset for research, clinical or educational purposes are warmly encouraged to attend.

The 1st Symposium on Societal Challenges in Computational Social Science

last modified Jul 22, 2017 01:26 PM

Inequality and Imbalance

November 16-17, 2017
London, United Kingdom

The Symposium is an interdisciplinary venue that brings together researchers from a diverse range of disciplines to contribute to the definition and exploration of the societal challenges in Computational Social Science, especially around the topics of inequality and imbalance. This is the first in a series of three symposia that discuss societal challenges in computational social sciences. Future events will be focused on "Bias and Discrimination" (Cologne, 2018) and "Polarization and Radicalization" (Zurich, 2019).

Deadline for abstract submission: September 30, 2017

Social Behavior, Network Dynamics and Collective Outcomes in Complex Societies

last modified Jul 22, 2017 01:24 PM

at the XIX ISA (International Sociological Association) World Congress of Sociology, July 15-21, 2018 in Toronto, Canada.

Increasing complexity in contemporary societies is challenging social norms and institutional equilibria. Examining large-scale implications of complex interactions between heterogeneous agents when social influence pressures are present is key to understand specific norms and institutions that could help regulate collective behavior for common benefit. Here, research is needed that explores the effect of the fundamental heterogeneity of individual behavior on the emergence of social patterns. However, agents cooperate and coordinate within social network structures that yield constraints and channel opportunities of interaction. The endogenous interplay between behavior and network structures shapes the evolution of social equilibria, eventually generating non-linear unexpected outcomes. This session aims to stimulate cross-fertilization of agent-based models and social network analysis to look at the co-evolution of behavior and networks and provides new insights on the complex link between social norms and institutions. Empirically-informed research is especially welcome. Theoretical, experimental and empirical contributions, especially using computational methods, are welcome.

Please submit your abstract (not exceeding 300 words) by September, 30, 2017, 24:00 GMT.

Complex Networks 2017

last modified Jul 22, 2017 01:23 PM

6th Int. Conference on Complex Networks & Their Applications
Lyon, France, November 29 - December 1, 2017

Alex Arenas, Universidad Rovira i Virgili, Spain
Albert-László Barabasi, Northeastern University, USA
Jure Leskovec, Stanford, USA
Daniele Quercia, Bell Labs Cambridge, UK
Frank Schweitzer, ETH Zurich, Switzerland
Katharina Anna Zweig, Technical University Kaiserslautern, Germany

Tutorials (November 28, 2017):
Ginestra Bianconi, Queen Mary University of London, UK
Francesco Bonchi, ISI Foundation, Italy

Abstract/Paper submission deadline: September 04, 2017

MoN16: Sixteenth Mathematics of Networks meeting

last modified Jul 22, 2017 01:22 PM

This is a free event and will take place on 12th September at the University of Sussex.  The theme is control and management of networks but talks on any topic will be considered for presentation. The deadline for abstracts is Friday 16th August.

Fully Funded PhD in Complex Networks & Machine Learning

last modified Jul 22, 2017 01:21 PM

Complex network analysis and machine learning for large-scale news-mining

Applications are invited for a 4-year PhD studentship at University of Exeter. The position is fully funded including fees and a generous stipend of £14.5k per annum. Details are available here:

The rise of the web and digital media has seen an explosion in the availability of big social data. This PhD project will apply natural language processing to large collections of text documents harvested from the web (e.g. social media, blogs, online news), in order to construct networks of interaction between people and organisations. These networks will then be analysed to explore how they change in response to external events, with the aim of developing methods to predict real-world events before they occur. For example, one application of such methods might be to derive a dynamic network of relationships between politicians based on online news articles – could this network be used to reveal patterns of power and influence, identify new political players, or to predict election outcomes?

The closing date for applications is 10th August 2017.

Funded PhD place studying evolving networks at QMUL

last modified Jul 22, 2017 01:19 PM

A fully funded PhD studentship is available to study evolving complex networks.  Please email Richard Clegg ( if you are interested.

The application deadline is 1st August:

PhD – Designing Mathematical and Computational Methods for Scientific Discovery

last modified Jul 22, 2017 01:18 PM

Funding: 4 years EPSRC funding for UK/EU students
Supervisors: Dr Javier Cuervo (Polymaths), Farooq Khan (Polymaths), and Dr. Maria Liakata (University of Warwick)
Supporting Company: Polymaths
Start Date: October 2017

Polymaths is a transdisciplinary R&D consultancy. The Company seeks to create a new era of scientific discovery through its methodologies and technologies. Currently Polymaths is developing a technology platform to facilitate scientific discoveries made through basic and applied research. This promises to transform the scientific method and accelerate scientific discovery. Drawing upon the mathematical and computational sciences, this project will develop the fundamental science behind the algorithms for the technology platform. The technology will be built upon concepts derived from areas such as network science, machine learning, natural language processing, and multiscale modelling.

For more information, see:

Application Deadline: 18 August 2017

3-year biological modelling postdoc position at Cambridge for physics/biology PhDs

last modified Jul 22, 2017 01:16 PM

We have a postdoctoral position available in the laboratory of Dr Jamie Blundell in the Department of Oncology at the University of Cambridge. This post is funded by the Cancer Research UK Cambridge Centre.

We are looking for a quantitatively-minded researcher interested in modelling and analysing data relating to the dynamics of somatic variants in healthy and precancerous tissues. The successful candidate should have a PhD (or equivalent) in the biological or physical sciences, a strong background in mathematical modelling, genomic data analysis, and excellent communication skills.

For further information, see:

Deadline: 19 September 2017