
This project is based on the potato and its vulnerability to a variety of pests and soil-borne pathogen diseases.
This project is based on the potato and its vulnerability to a variety of pests and soil-borne pathogen diseases.
Why RAISE-CS
Encouraging interest in science for youth is vital to address the shortage of scientific vocations in Europe. School science attitudes tend to be positive in primary school but decline through secondary school education. There is a mismatch between the school science curriculum and the scientific issues of interest to young people. While the experiments designed for school labs provide an excellent introduction to the scientific method’s foundations, they hardly offer opportunities to understand all the scientific research steps truly. We would like to change that and suggest that citizen science is a powerful tool to foster wider participation in science.
What are the main existing barriers?
The main barriers for the implementation of citizen science projects that involve the teachers and their pupils in all the phases of a scientific study are:
What are our aims?
The RAISE-CS project will tackle the issues and needs mentioned above in the frame of the relatively recent research field
of microplastic pollution that is causing global ecological and human health concerns. The overall goal of the RAISE-CS project is twofold:
To reach this goal, we have set the following specific objectives :
ROSiE develops practical tools to support research ethics and research integrity in favor of an open research ecosystem in Europe.
SOCIO-BEE proposes that community engagement and social innovation combined with Citizen Science (CS) through emerging technologies and playful interaction can bridge the gap between:
The Knowledge Powerhouse for Citizen Science on Law and Ethics is part of a task dissemination from SOCIO-BEE and aims to communicate the project’s work as well as existing resources in relation to law and ethics and subsequent lessons learnt to the general public, encouraging the uptake of citizen science, by creating a publicly available knowledge hub hosted on the project’s website.
The SOCIO-BEE project aims to design, deploy and validate a next-generation CS platform for citizens’ wearable-based modules for air quality observation, supported by local decision-makers and action groups.
SOCIO-BEE aims to realize sustainable, scalable, and replicable/spreadable experiments, who are co-created. SOCIO-BEE will develop and implement a co-creation module for facilitating citizen science.Users will be able to select among several customizable campaigning blueprints each of which will entail such tools for delivering engagement programmes and campaigns that genuinely enable communities to influence decision making for reducing pollution levels in cities and creating trust between stakeholders.
Why the Bees?
This SOCIO-BEE idea is emphasised in this project through the metaphor of bees’ behaviour (with queens, worker and drone bees), interested stakeholders (honey bears) and the Citizen Science hives that will be tested in three different pilot sites and with different population: young adults, elderly people and everyday commuters.
Challenge
Collecting high-resolution air quality data through opportunistic sensing ensuring replicability.
Outcome
Citizens, policymakers, voluntary sector and businesses as stewards of air pollution reduction policies.
Generative adversarial networks (GANs) are a class of AI models able to create media contents – audio and video – resembling reality. Although there are different promising areas of application of GANs – e.g. audio-graphic productions, human-computer interactions, satire, artistic creative expression – their current and foreseen misleading uses are just as numerous and worrying. The main concern is related to the so-called “deepfakes”, fake images or videos simulating real events with extreme precision. If trained on a face, GANs can make it move and speak in a hyper-realistic way. This technology poses an urgent political threat since GANs could be – and have already been – used to spread fake news and disinformation.
This raises an urgent challenge to democratic governance and regulation: to improve GANs accountability, transparency, and trustworthiness. Nevertheless, GANs also constitute an opportunity to enhance democratic awareness and expand active and inclusive citizenship.
SOLARIS reacts to these challenges in two ways. On the one hand, we analyse political risks associated with these technologies, to prevent negative implications for EU democracies. As a result, SOLARIS will establish regulatory innovations to detect and mitigate deepfake risks. On the other hand, we assess the opportunities raised by GANs for reinvigorating the democratic engagement of citizens. We will co-create, involving citizen science, value-based GANs contents to enhance democratic engagement. SOLARIS involves three use cases: the first aims at understanding the psychological aspects of GANs perceived trustworthiness. The second simulates the circulation of threatening GANs contents on social media, to detect risks and design mitigation strategies. The third co-creates value-based GANs contents to boost awareness on key global democratic topics (e.g: climate change, gender dimension, human migration), to ultimately enhance active and inclusive digital citizenship.
It explores and boosts the potential of citizen science for advancing knowledge and innovation in five fields.
With TETTRIs, we envision a transformative change in the field of taxonomy to build and sustain taxonomic research capacity through increasing knowledge and developing systems.
UNTWIST aims to promote gender equality as a core value of the EU, defending it from the emerging threat that the oppositional gender rhetoric from extreme populist parties represents.
How to increase social inclusion for young people? How do people experience social inclusion? These are the questions addressed by YouCount through the youth citizen social science approach: it involves equal collaboration between young citizen scientists and academic researchers.