ERC FUNDED PROJECTS

Digital technology has fundamentally changed the action repertoire of political campaigning and advocacy in the last decade. Despite its fundamental role in contemporary political strategy and potential to affect the quality of democracy, there is still little systematic evidence to assess and compare the real effects of online and offline advocacy tools. ADVODID will implement the first large-scale quantitative project designed to provide rich correlational and causal evidence on the effects of advocacy on citizens and policymakers, in both online and offline settings. It sets out to address - theoretically and empirically - the potentials and challenges for modern democracies that arise from digital advocacy tools. Its novelty lies in analyzing the use, impact and democratic consequences of digital advocacy strategies by assessing interactions of advocacy groups with both citizens and political representatives in a diverse set of eight countries (Australia, Chile, Denmark, India, the Netherlands, Spain, the UK, and the US). ADVODID will collect data on the advocacy agenda and strategy use of at least 400 carefully sampled advocates in these countries, and will assess agenda congruence with political and public agendas, and their dynamic development over time. Correlational analyses of different measures of advocacy success will be complemented by field experiments in cooperation with advocates in two countries, to supply causal evidence on how advocacy affects the positions and actions of policymakers and citizens. The project’s rich datasets will be used to assess and refine theories of democratic representation and the role of digital advocacy across different types of policy issues. ADVODID will greatly advance understanding of how modern advocacy impacts its target audiences and potentially changes participatory democracy. Its findings will have interdisciplinary and social relevance and inform ways to strengthen representative democracy in an online age.

1 986 922 €

Start date: 2021-08-01, End date: 2026-07-31

The historiography of Euro-American abolitionism is so vast that it has a history of its own (Brown 2006). By contrast, research on African abolitionism is a narrow field focused primarily on European anti-slavery activities. It presupposes that when Europe abolished slavery in Africa, Africans became abolitionists. This conclusion is unfounded. Many general questions have never been asked: When and where did African abolitionist movements develop? Who are the main ideologues of African abolitionism? How did abolitionism spread, among which groups? What forms of political struggle did African anti-slavery give rise to? While individual African abolitionists and regional movements have attracted limited attention, there is no major review of the phenomenon on a continental scale. AFRAB fills this gap. It contributes to African and global history and slavery studies by analyzing and comparing African abolitionist ideas and anti-slavery movements, the long-term consequences of European abolitionism, and the resilience of pro-slavery discourses.

2 499 951 €

Start date: 2020-10-01, End date: 2025-09-30

Drones are disrupting industries, such as agriculture, package delivery, inspection, and search and rescue. However, they are still either controlled by a human pilot or heavily rely on GPS for navigating autonomously. The alternative to GPS are onboard sensors, such as cameras: from the raw data, a local 3D map of the environment is built, which is then used to plan a safe trajectory to the goal. While the underlying algorithms are well understood, we are still far from having autonomous drones that can navigate through complex environments as good as human pilots. State-of-the-art perception and control algorithms are mature but not robust: coping with unreliable state estimation, low-latency perception, real-time planning in dynamic environments, and tight coupling of perception and action under severe resource constraints are all still unsolved research problems. Another issue is that, because battery energy density is increasing at a very slow rate, drones need to navigate faster in order to accomplish more within their limited flight time. To obtain more agile robots, we need faster sensors and low-latency processing. The goal of this project is to develop novel scientific methods that would allow me to demonstrate autonomous, vision-based, agile quadrotor navigation in unknown, GPS-denied, and cluttered environments with possibly moving obstacles, which can be as effective in terms of maneuverability and agility as those of professional drone pilots. The outcome would not only be beneficial for disaster response scenarios, but also for other scenarios, such as aerial delivery or inspection. To achieve this ambitious goal, I will first develop robust, low-latency, multimodal perception algorithms that combine the advantages of standard cameras with event cameras. Then, I will develop novel methods that unify perception and state estimation together with planning and control to enable agile maneuvers through cluttered, unknown, and dynamic environments.

2 000 000 €

Start date: 2020-09-01, End date: 2025-08-31

As global climates warmed ca. 10,000 years ago came a remarkable convergent transformation of human lifestyles that occurred independently in multiple continents and human populations. This transition from hunter-gatherer subsistence to food-production catalysed large-scale population growth, offering the opportunity for increased rates of adaptation, but also rapidly presented a large number of independent human populations with a new evolutionary challenge. This project will use ancient population genomics—the only way to directly reconstruct human genetic evolution—to study whether evolutionary processes during the agricultural transition differed in differed regions. Which genomic adaptations were associated with the agricultural transition? Did adaptation to hunter-gatherer and agricultural lifestyles act on similar genetic architecture in different instances? To which extent did adaptation in domestic dogs—the only species domesticated prior to the agricultural transition—occur in convergence with humans? To answer these questions, the project will generate ancient genomic data from pre-agricultural and early agricultural populations from multiple human- and domestic dog populations from Africa, Central America, and Southeast Asia. This will be achieved with direct sequencing as well as a new human ~850,000 SNP capture panel designed to avoid bias towards Eurasian ancestry. We will also develop new computational methods robust to the challenges posed by ancient genomes to identify adaptive admixture, analyse copy number variation, test continuous population models, and statistically assess convergence in the genomic architecture of adaptation. Leveraging cutting-edge ancient genomics and two model organisms for the genomic basis of phenotypic variation, this project aims to reconstruct the universal evolutionary phenomena underpinning a watershed evolutionary episode that shapes global biodiversity and the human condition to this day.

1 500 000 €

Start date: 2019-11-01, End date: 2024-10-31