ERC FUNDED PROJECTS

The goal of 2D-TOPSENSE is to exploit the remarkable stretchability of two-dimensional semiconductors to fabricate optoelectronic devices where strain is used as an external knob to tune their properties. While bulk semiconductors tend to break under strains larger than 1.5%, 2D semiconductors (such as MoS2) can withstand deformations of up to 10-20% before rupture. This large breaking strength promises a great potential of 2D semiconductors as ‘straintronic’ materials, whose properties can be adjusted by applying a deformation to their lattice. In fact, recent theoretical works predicted an interesting physical phenomenon: a tensile strain-induced semiconductor-to-metal transition in 2D semiconductors. By tensioning single-layer MoS2 from 0% up to 10%, its electronic band structure is expected to undergo a continuous transition from a wide direct band-gap of 1.8 eV to a metallic behavior. This unprecedented large strain-tunability will undoubtedly have a strong impact in a wide range of optoelectronic applications such as photodetectors whose cut-off wavelength is tuned by varying the applied strain or atomically thin light modulators. To date, experimental works on strain engineering have been mostly focused on fundamental studies, demonstrating part of the potential of 2D semiconductors in straintronics, but they have failed to exploit strain engineering to add extra functionalities to optoelectronic devices. In 2D-TOPSENSE I will go beyond the state of the art in straintronics by designing and fabricating optoelectronic devices whose properties and performance can be tuned by means of applying strain. 2D-TOPSENSE will focus on photodetectors with a tunable bandwidth and detectivity, light emitting devices whose emission wavelength can be adjusted, light modulators based on 2D semiconductors such as transition metal dichalcogenides or black phosphorus and solar funnels capable of directing the photogenerated charge carriers towards a specific position.

1 930 437 €

Start date: 2018-03-01, End date: 2023-02-28

This long-term research project is based on the data-mining of the Llibres d'Esposalles conserved at the Archives of the Barcelona Cathedral, an extraordinary data source comprising 244 books of marriage licenses records. It covers about 550.000 unions from over 250 parishes of the Diocese between 1451 and 1905. Its impeccable conservation is a miracle in a region where parish archives have undergone massive destruction. The books include data on the tax posed on each couple depending on their social class, on an eight-tiered scale. These data allow for research on multiple aspects of demographic research, especially on the very long run, such as: population estimates, marriage dynamics, cycles, and indirect estimations for fertility, migration and survival, as well as socio-economic studies related to social homogamy, social mobility, and transmission of social and occupational position. Being continuous over five centuries, the source constitutes a unique instrument to study the dynamics of population distribution, the expansion of the city of Barcelona and the constitution of its metropolitan area, as well as the chronology and the geography in the constitution of new social classes. To this end, a digital library and a database, the Barcelona Historical Marriages Database (BHiMaD), are to be created and completed. An ERC-AG will help doing so while undertaking the research analysis of the database in parallel. The research team, at the U. Autònoma de Barcelona, involves researchers from the Center for Demo-graphic Studies and the Computer Vision Center experts in historical databases and computer-aided recognition of ancient manuscripts. 5CofM will serve the preservation of the original “Llibres d’Esposalles” and unlock the full potential embedded in the collection.

1 847 400 €

Start date: 2011-05-01, End date: 2016-04-30

Aftermath seeks to understand the legacy of the East Asian War of 1592-1598. This conflict involved over 500,000 combatants from Japan, China, and Korea; up to 100,000 Korean civilians were abducted to Japan. The war caused momentous demographic upheaval and widespread destruction, but also had long-lasting cultural impact as a result of the removal to Japan of Korean technology and skilled labourers. The conflict and its aftermath bear striking parallels to events in East Asia during World War 2, and memories of the 16th century war remain deeply resonant in the region. However, the war and its immediate aftermath are also significant because they occurred at the juncture of periods often characterized as “medieval” and “early modern” in the East Asian case. What were the implications for the social, economic, and cultural contours of early modern East Asia? What can this conflict tell us about war “aftermath” across historical periods and about such periodization itself? There is little Western scholarship on the war and few studies in any language cross linguistic, disciplinary, and national boundaries to achieve a regional perspective that reflects the interconnected history of East Asia. Aftermath will radically alter our understanding of the region’s history by providing the first analysis of the state of East Asia as a result of the war. The focus will be on the period up to the middle of the 17th century, but not precluding ongoing effects. The team, with expertise covering Japan, Korea, and China, will investigate three themes: the movement of people and demographic change, the impact on the natural environment, and technological diffusion. The project will be the first large scale investigation to use Japanese, Korean, and Chinese sources to understand the war’s aftermath. It will broaden understandings of the early modern world, and push the boundaries of war legacy studies by exploring the meanings of “aftermath” in the early modern East Asian context.

1 444 980 €

Start date: 2018-11-01, End date: 2023-10-31

Present-day financial markets are turning algorithmic, as market orders are increasingly being executed by fully automated computer algorithms, without any direct human intervention. Although algorithmic finance seems to fundamentally reshape the central dynamics in financial markets, and even though it prompts core sociological questions, it has not yet received any systematic attention. In a pioneering contribution to economic sociology and social studies of finance, ALGOFINANCE aims to understand how and with what consequences the turn to algorithms is changing financial markets. The overall concept and central contributions of ALGOFINANCE are the following: (1) on an intra-firm level, the project examines how the shift to algorithmic finance reshapes the ways in which trading firms operate, and does so by systematically and empirically investigating the reconfiguration of organizational structures and employee subjectivity; (2) on an inter-algorithmic level, it offers a ground-breaking methodology (agent-based modelling informed by qualitative data) to grasp how trading algorithms interact with one another in a fully digital space; and (3) on the level of market sociality, it proposes a novel theorization of how intra-firm and inter-algorithmic dynamics can be conceived of as introducing a particular form of sociality that is characteristic to algorithmic finance: a form of sociality-as-association heuristically analyzed as imitation. None of these three levels have received systematic attention in the state-of-the-art literature. Addressing them will significantly advance the understanding of present-day algorithmic finance in economic sociology. By contributing novel empirical, methodological, and theoretical understandings of the functioning and consequences of algorithms, ALGOFINANCE will pave the way for other research into digital sociology and the broader algorithmization of society.

1 590 036 €

Start date: 2017-05-01, End date: 2021-04-30