ERC FUNDED PROJECTS

Development economists and policymakers often face scenarios in which poor people do not make choices that would help them get out of poverty due to an “aspiration failure”: the poor perceive certain goals as unattainable and do not invest towards those goals, thus perpetuating their own state of poverty. The aim of this proposal is to improve our understanding of the relationship between aspirations and socio-economic outcomes of disadvantaged individuals, in order to answer the question: Can we design policy interventions that shift aspirations in a way that is conducive to development? In addressing the above question a fundamental role is played by social norms and by the ability of individuals to coordinate on “new” aspirations, hence the analysis of social effects is a salient feature of this proposal. The proposed research is organized in two workpackages. The first focuses on the media as a vehicle for changing aspirations, examining both commercial TV programs and “educational entertainment”. The second workpackage examines “tailored” interventions designed to address specific determinants of aspiration failures (e.g., psychological support to reduce perceived barriers; inter-racial interaction to change stereotypes; institutional reform to strengthen women’s rights and reduce the gender aspiration gap). The methodology will involve rigorous evaluation of several interventions directly designed to or indirectly affecting aspirations and social norms. Original data collected through survey work, large administrative datasets and media content analysis will be used. The results of this project will advance our knowledge on the sources of aspiration failures by poor people and on the interplay between aspirations and social norms, eventually opening the avenue for a new array of anti-poverty policies.

1 618 125 €

Start date: 2016-11-01, End date: 2021-10-31

Cellular clearance is a fundamental process required by all cells in all species. Important physiological processes, such as aging, and pathological mechanisms, such as neurodegeneration, are strictly dependent on cellular clearance. In eukaryotes, most of the cellular clearing processes occur in a specialized organelle, the lysosome. This project is based on a recent discovery, made in our laboratory, of a gene network, which we have named CLEAR, that controls lysosomal biogenesis and function and regulates cellular clearance. The specific goals of the project are: 1) the comprehensive characterization of the mechanisms underlying the CLEAR network, 2) the thorough understanding of CLEAR physiological function at the cellular and organism levels, 3) the development of strategies and tools to modulate cellular clearance, and 4) the implementation of proof-of-principle therapeutic studies based on the activation of the CLEAR network in murine models of human lysosomal storage disorders and of neurodegenerative diseases, such as Alzheimers s and Huntington s diseases. A combination of genomics, bioinformatics, systems biology, chemical genomics, cell biology, and mouse genetics approaches will be used to achieve these goals. Our goal is to develop tools to modulate cellular clearance and to use such tools to develop therapies to cure human disease. The potential medical relevance of this project is very high, particularly in the field of neurodegenerative disease. Therapies that prevent, ameliorate or delay neurodegeneration in these diseases would have a huge impact on human health.

2 100 000 €

Start date: 2010-03-01, End date: 2015-02-28

The adult human organism contains heterogeneous reservoirs of pluripotent stem cells characterized by a diversified differentiation potential. Understanding their biology at a system level would advance our ability to selectively activate and control their differentiation potential. Aside from the basic implications this would represent a substantial progress in regenerative medicine by providing a rational framework for using small molecules to control cell trans-determination and reprogramming. Here we propose a combined experimental and modelling approach to assemble a predictive model of mesoderm stem cell differentiation. Different cell states are identified by a vector in the differentiation hyperspace, the coordinates of the vector being the activation levels of a large number of nodes of a logic model linking the cell signalling network to the transcription regulatory network. The premise of this proposal is that differentiation is equivalent to rewiring the cell regulatory network as a consequence of induced perturbation of the gene expression program. This process can be rationally controlled by perturbing specific nodes of the signalling network that in turn control transcription factor activation. We will develop this novel strategy using the mesoangioblast ex vivo differentiation system. Mesoangioblasts are one of the many different types of mesoderm stem/progenitor cells that exhibit myogenic potential. Ex vivo, they readily differentiate into striated muscle. However, under appropriate conditions they can also differentiate, into smooth muscle and adipocytes, albeit less efficiently. We will start by assembling, training and optimizing different predictive models for the undifferentiated mesoangioblast. Next by a combination of experiments and modelling approaches we will learn how, by perturbing the signalling models with different inhibitors and activators we can rewire the cell networks to induce trans-determination or reprogramming.

2 639 804 €

Start date: 2013-04-01, End date: 2018-09-30

A growing number of scholars are studying the interactions between cultural values, social and religious norms, institutions, and economic outcomes. The rise of markets, as well as the development of contracts that enable mutually beneficial transactions among agents, are one of the central themes in the literature on long-term economic growth. This project contributes to both strands of literature by studying the invention and development of marine insurance contracts in medieval Italy and their subsequent spread all over Europe. It brings the economic approach to previously unexplored historical data housed in archives in Florence, Genoa, Pisa, Palermo, Prato, and Venice. The interest in the historical origin and development of marine insurance contracts is twofold. First, marine contracts are the “parents” of all the other insurance contracts (e.g., fire, life, health, etc) that were developed in subsequent centuries to cope with risk. Second, their invention, as well as other innovations in business practices in the Middle Ages, contributed to the growth of international trade in subsequent centuries. The key novelty of the project stems from combining contract theory with information from thousands of insurance contracts between 1300 and 1550 to explain why marine insurance developed in medieval Italy and then Europe, to study the empirical determinants of insurance contracts in medieval Italy, and to analyze how medieval merchants coped with adverse selection and moral hazard problems. Most scholars agree that marine insurance was unknown to the ancient world. Italian merchants developed the first insurance contracts and other innovations in business practices during and in the aftermath of the Commercial Revolution that swept Europe from roughly 1275 to about 1325. Marine insurance contracts may have developed as a spin-off of earlier contracts which shifted the risk from one party to another (e.g., sea loan, insurance loan). Alternatively, in the early or mid-fourteenth century, sedentary merchants that provided the capital to travelling merchants invented a new type of contract, when they discovered that the existing contract forms had shortcomings in transferring and dividing sea risk. A sample of the questions that this project will address includes: - Why did insurance contracts and a marine insurance market first develop in medieval times and not earlier despite merchants had to deal with the risks associated with maritime trade since antiquity? - What were the empirical determinants of contract form (e.g., insurance premium) in the medieval insurance market? - How did medieval merchants compute insurance premia without having the formal notion of probability that was developed only in the mid-seventeenth century? - How did medieval merchants cope with the typical problems that plague insurance markets, i.e., adverse selection and moral hazard?

1 113 900 €

Start date: 2012-07-01, End date: 2018-06-30