Month: December 2017

The Emergence of Consensus: A Primer

The origin of population-scale coordination has puzzled philosophers and scientists for centuries. Recently, game theory, evolutionary approaches and complex systems science have provided quantitative insights on the mechanisms of social consensus. However, the literature is vast and scattered widely across fields, making it hard for the single researcher to navigate it. This short review aims to provide a compact overview of the main dimensions over which the debate has unfolded and to discuss some representative examples. It focuses on those situations in which consensus emerges ‘spontaneously’ in absence of centralised institutions and covers topic that include the macroscopic consequences of the different microscopic rules of behavioural contagion, the role of social networks, and the mechanisms that prevent the formation of a consensus or alter it after it has emerged. Special attention is devoted to the recent wave of experiments on the emergence of consensus in social systems.

Source: arxiv.org

Assistant Professor in Data Science | Central European University

Vacancy summary: 
The Center for Network Science of the Central European University (CEU) invites applications for a full-time Assistant Professor position in the area of Data Science. We expect applications from scholars with a PhD in Computer Science or Data Science, who have an excellent publication record with applications of data science methods to large datasets, addressing problems related to computational social science. The candidate should have strong motivation for interdisciplinary research (especially with the social sciences) and be interested in participating in projects with several departments at CEU. Experience in data science areas, such as: data mining, machine learning, natural languages processing, or visualization is a must and should be emphasized in the application. Capability of high quality teaching is assumed. The Center for Network Science was established as an interdisciplinary unit, integrating natural science and social science approaches.
Position for:  Faculty
Unit:  Center for Network Science (CNS)

Source: hro.ceu.edu

2018 International Conference on Computational Social Science

Redefine business in the 21st century at the intersection of computer science and social science

Save the date for this interdisciplinary event designed to connect a diverse community of researchers — academics, industry experts, open data activists, government agency workers and think tank analysts — who are dedicated to advancing social science through computational methods.

For four days, IC2S2 will be the epicenter of computational social science. Convening hundreds of attendees from more than 20 countries, the impact of IC2S2 is influential, innovative and global.

After successful events in Helsinki, Finland; Evanston, IL; and Cologne, Germany, the 4th Annual IC2S2 will return to Evanston and the Kellogg School of Management at Northwestern University. Join us in 2018 to explore the future of social research and the biggest questions facing the field of computational social science today.

Source: www.kellogg.northwestern.edu

What is consciousness, and could machines have it?

The controversial question of whether machines may ever be conscious must be based on a careful consideration of how consciousness arises in the only physical system that undoubtedly possesses it: the human brain. We suggest that the word “consciousness” conflates two different types of information-processing computations in the brain: the selection of information for global broadcasting, thus making it flexibly available for computation and report (C1, consciousness in the first sense), and the self-monitoring of those computations, leading to a subjective sense of certainty or error (C2, consciousness in the second sense). We argue that despite their recent successes, current machines are still mostly implementing computations that reflect unconscious processing (C0) in the human brain. We review the psychological and neural science of unconscious (C0) and conscious computations (C1 and C2) and outline how they may inspire novel machine architectures.

 

What is consciousness, and could machines have it?
Stanislas Dehaene, Hakwan Lau, Sid Kouider

Science  27 Oct 2017:
Vol. 358, Issue 6362, pp. 486-492
DOI: 10.1126/science.aan8871

Source: science.sciencemag.org

Expanding and reprogramming the genetic code

Nature uses a limited, conservative set of amino acids to synthesize proteins. The ability to genetically encode an expanded set of building blocks with new chemical and physical properties is transforming the study, manipulation and evolution of proteins, and is enabling diverse applications, including approaches to probe, image and control protein function, and to precisely engineer therapeutics. Underpinning this transformation are strategies to engineer and rewire translation. Emerging strategies aim to reprogram the genetic code so that noncanonical biopolymers can be synthesized and evolved, and to test the limits of our ability to engineer the translational machinery and systematically recode genomes.

 

Expanding and reprogramming the genetic code
Jason W. Chin
Nature 550, 53–60 (05 October 2017)
doi:10.1038/nature24031

Source: www.nature.com