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Eventos passados (3)
Conference: Environmental citizen science in conflict zones for accountability and empowerment
Copenhagen (online)De 24 Out até 24 Out, 2025
Join us online or in Copenhagen on October 24th as we explore the potential role of environmental citizen science in areas affected by armed conflicts. This event will be a multidisciplinary discussion on the role of citizen-generated data and citizen science in environmental monitoring within conflict zones, with a particular focus on Ukraine after and during the Russian full-scale invasion. We will bring together perspectives from academic institutions, civil society organisations, policymakers, and Ukrainian students to explore the legal and social dimensions of participatory research in this context.
Join us for an engaging afternoon of discussion, collaboration, and knowledge-sharing. This conference is open to all, free of charge and will be held in person in Copenhagen. However, recognising the dire situation and ongoing travel restrictions affecting Ukraine, we are also offering the possibility for online participation to ensure everyone can join, regardless of location or circumstance.
With the special collaboration of the keynote speakers: Pier Carlo Sandei (Senior Programme Officer at UNEP); Jan Ortgies, Head of Legal at The Register of Damage for Ukraine (Council of Europe); and Dr. Ivan Rusev, Head of research department at National Nature Park Tuzlivski lymany (Ukraine).
Exploring the Role of Artificial Intelligence in Transforming Citizen Science: Privacy, Data Sharing, and Open Science
Online08:00
De 19 Fev até 19 Fev, 2025
Artificial Intelligence (AI) is transforming many fields, but its potential to revolutionise citizen science remains underexplored. Join the ECSA Citizen Science and Open Science working group on 19 February, 12:00 - 13:30 CET for a webinar exploring critical issues around data anonymisation and privacy in large-scale data sharing, and examine how AI can enhance citizen engagement, democratise science, and foster innovative approaches to data management, collection, and analysis.
A key focus will be on integrating citizen science data into AI systems to address challenges and risks, offering a new perspective on co-creating AI through the amai! programme in support of sustainable development and open science.
Global Survey on Opportunities for Citizen Data in addressing Infectious Diseases
OnlineDe 20 Nov até 30 Mar, 2025
With the support of the Wellcome Trust, the Global Partnership is undertaking a scoping study in order to institutionalize the production and use of citizen data in the response to and prevention of environmentally sensitive infectious diseases, including cholera, schistosomiasis, leishmaniasis, and arboviruses (including dengue and yellow fever).
This survey is intended to collect insights to better understand the opportunities, challenges, and skills-building needs required to institutionalize citizen data for the prevention and response to infectious disease, and the policy priorities thereafter. We also seek to identify organizations that have experience in this area of work as potential partners.
More specifically, this survey aims to:
Identify producers of inclusive data and citizen data
Understand the needs of actors in the infectious disease field that can benefit from inclusive data and citizen data
Identify skills and capacity needs for citizen data use.
This survey is open to anyone who is carrying out work on citizen data, inclusive data or infectious diseases. We are particularly interested to hear from: grassroot organizations, governments, non-governmental organizations, academia, research organizations, networks and communities of practice.
Definitions
Citizen data
Citizen data is defined as data produced by and with sufficient engagement of citizens, communities, civil society organizations and other actors at the design and/or collection stages of the data process, with the aim to inform decision making, responding to specific needs of a community, supplementing existing data from the National Statistical Systems at various levels, or filling data gaps. By sufficient engagement, we mean citizens partner equally with producers of data to share planning and decision-making responsibilities or citizens actively control the entire data process, showcasing collective agency.
Inclusive data
Inclusive data refers to data that is representative, especially of those who are often marginalized, ensuring that data are collected for all people, regardless of their location, ethnicity, gender, age, disability, or other characteristics. Inclusive data goes beyond data disaggregation, looking across the data value chain - from data collection, analysis through to its dissemination uptake and use.
Infectious disease
In this context, we refer to infectious diseases as illnesses caused by pathogens, such as viruses, bacteria, or parasites whose spread, transmission, or severity is influenced by changes in environmental factors and climate patterns. Examples of diseases include cholera, schistosomiasis, leishmaniasis, and arboviruses, such as dengue and yellow fever.
This survey will take ~10 minutes to complete. Your responses are treated with confidentiality and will be reported as part of aggregate quantitative and qualitative analysis.