Election pledges are supposedly a vital part of representative democracy. Yet we do not in fact know whether and how pledges matter for vote choice and accountability. This project thus asks: Do election pledges matter for voters’ democratic behavior and beliefs? The role of pledges in citizens’ democratic behavior and beliefs is, surprisingly, virtually unexplored. This project’s ambition is therefore to create a new research agenda that redefines how political scientists think about the link between parties and voters. The project not only advances the research frontier by introducing a new, crucial phenomenon for political scientists to study; it also breaks new ground because it provides original theoretical and methodological tools for this new research agenda. The key empirical contribution of this project is to collect two path-breaking datasets in the United States, France, and Norway that produce an unbiased estimate of voters’ awareness and use of pledges. The first consists of a set of innovative panel surveys with embedded conjoint experiments conducted both before and after national elections. The second dataset codes all pledges; whether or not they are broken; and how the mass media report on them. This project is unique in its scientific ambition: It studies the core mechanism of representative democracy as it happens in real time, and does so in several countries. If successful, we will have much firmer knowledge about how voters select parties that best represent them and sanction those that betray their trust – and what this all implies for people’s trust in democracy.

Light-induced phase transitions in solids present a tantalizing opportunity for controlling the constituents of matter. An intense optical excitation with a duration on the order of femtoseconds can trigger nonthermal electronic and structural configurations, switching the excited material into a hidden phase that may be exploited to realize new technologies such as ultrafast memory devices. A general picture of the microscopic processes underpinning hidden phases has not been established. Their existence has therefore only been exposed in a handful of systems, presenting a major obstacle for achieving on-demand quantum materials with light. Drawing inspiration from these unique systems, I hypothesize that materials with a strongly correlated phase that is pinned by a two-dimensional superstructure provide a trajectory to a light-induced hidden phase. The objectives of EXCITE are (A) to establish the experimental parameter space to determine the electronic structure of hidden phases in bulk and single-layer correlated transition metal dichalcogenides, (B) to demonstrate the existence of hidden phases in optically excited moiré superstructures that simulate strongly correlated behavior and (C) to exploit the wide tunability of these systems in order to disentangle the general microscopic degrees of freedom that govern the trajectory into a hidden phase. The objectives will be accomplished by establishing a state-of-the-art experiment to optically excite in situ prepared materials and probe their electronic structure during phase transitions with nanoscale spatial resolution and femtosecond time resolution. These ground-breaking capabilities will be realized by integrating a high-power laser system with my new synchrotron beamline for nanoscale photoemission spectroscopy (nanoARPES) at the ASTRID2 light source, Aarhus University. My experiments will enable me to critically assess basic assumptions in the field and move the boundaries of ultrafast science.

Synthetic biology aims at re-engineering organisms for practical applications by designing novel biomolecular components, networks, and pathways. The field is expected to lead to cheaper drugs, sustainable fuel production, efficient diagnosis and targeted therapies for diseases. However, a major obstacle to achieve these goals is our limited ability to rationally design biomolecular structure and function. By contrast, the field of DNA nanotechnology has so far demonstrated an unprecedented ability to design and self-assemble well-defined molecular shapes, although the production method of thermal annealing is not compatible with cells. We have recently demonstrated a breakthrough method, called RNA origami, which allows the design of RNA molecules that fold into well-defined nanoscale shapes during their synthesis by an RNA polymerase. In this proposal I aim at extending this technology to produce RNA-protein nanostructures and at demonstrating their application in synthetic biology. My primary scientific hypothesis is that understanding the folding process during synthesis will help us to design nanostructures that can be produced in cells. I will design a general RNA-protein architecture that is compatible with folding during synthesis. I will investigate folding kinetics to be able to design and program the dynamical folding process. Based on this, RNA-protein nanostructures will be designed, expressed in cells, and verified, for the formation of the desired shapes. We will develop new functionalities by both rational design and selection approaches with the aim of obtaining multivalent-binding and switching properties. Finally, the functional RNA-protein nanostructures will be applied in proof-of-concept experiments to demonstrate efficient, multivalent targeting of subcellular structures, biosensing of a variety of intracellular analytes, metabolic channeling of biosynthesis pathways, and complex control of transcriptional networks.

It is shown that long-term potentiation (LTP) is the cellular basis of memory formation. However, since all but small fraction of memories are forgotten, LTP has been further divided into early LTP (e-LTP), the mechanism by which short-term memories are formed, and a more stable late LTP (L-LTP), by which long-term memories are formed. Remarkably, it has been shown that an e-LTP can be stabilized if it is preceded or followed by heterosynaptic L-LTP. According to Synaptic Tagging and Capture (STC) hypothesis, e-LTP is stabilized by capturing proteins that are made by L-LTP induction. The model proposes that this mechanism underlies the formation of late associative memory, where the stability of a memory is not only defined by the stimuli that induce the change but also by events happening before and after these stimuli. As such, the model explicitly predicts that a short-term memory can be stabilized by inducing heterosynaptic L-LTP. In this grant, I will put this hypothesis into test. Specifically, I will test two explicit predictions of STC model: 1) A naturally formed short-term memory can be stabilized by induction of heterosynaptic L-LTP. 2) This stabilization is caused by the protein synthesis feature of L-LTP. To do this, using optogenetics, I will engineer a short-term memory in auditory fear circuit, in which an animal transiently associates a foot shock to a tone. Subsequently, I will examine if optogenetic delivery of L-LTP to the visual inputs converging on the same population of neurons in the amygdala will stabilize the short-term tone fear memory. To be able to engineer natural memory by manipulating synaptic plasticity I will develop two systems: 1) A two-color optical activation system which permits selective manipulation of distinct neuronal populations with precise temporal and spatial resolution; 2) An inducible and activity-dependent expression system by which those neurons that are activated by a natural stimulus will be optically tagged.