This panel will be structured around some interrelated presentations to support the audience’s interaction. Indeed, the major aim is to explore concrete ways to enhance collaboration between SSH and other scientific disciplines connecting cross-discipline infrastructures to face global changes and development challenges.
Cross-disciplinary approaches are needed to make major leaps forward on large societal issues. But the application of such an approach often proves challenging. In this panel, we propose to discuss the use of trans-disciplinary approaches to address global changes, including how to combine the needs and knowledge to respond effectively to the fast-changing climate. Participants will propose through short presentations a given perspective from within their respective discipline(s) (environment and natural sciences, health, social sciences and humanities) on the panel’s central question: “What are the major challenges of cross-disciplinary data and service integration technically, scientifically and socially to face global changes?”. The discussion will then be centered around lessons learned and experiences, as well as technical and conceptual solutions already explored for integrating diverse data types from a variety of sources within inter-, multi- or trans-disciplinary projects. In addition, bearing in mind that global changes concern a large variety of stakeholders, acting within rather than among systems and procedures, the specific added value of integrating citizen science techniques and other participatory methodologies from social sciences and humanities into these cross-cutting projects will also be explored. This panel aims to identify the most valuable theoretical and practical collaboration perspectives among disciplines as an efficient way for the analysis and comprehension of global changes. Audience participation in the discussions will be actively encouraged, ideally using one of the techniques discussed as a demonstration.
Workshop leaders: Alessandro Rizzo (IRD), Alessia Smaniotto (Open Edition), Christelle Pierkot (CNRS), Jessie Abbate (GEOMATYS), Sarah Kada (GEOMATYS)
Alessandro Rizzo holds a degree in Political Sciences and International Relations from the University of Rome “La Sapienza” (Italie) and a PhD in International Cooperation for Sustainability. He is a Research Engineer at IRD, the French Institute on Research for Sustainable Development, working on Open Science as an enabler for accelerating sustainability and climate change adaptation, especially in the Global South. In recent years, within the framework of the French Research Infrastructure dedicated to the Earth System, DATA-TERRA, he has been involved in EOSC-related projects. Currently, and currently, he is the coordinator of the FAIR-EASE project.
Alessia Smaniotto develops and coordinates R&D projects for the French infrastructure OpenEdition in the field of participatory research. She is a member of the coordination team of the European OPERAS infrastructure and represents the infrastructure within the European Citizen Science Association (ECSA). She currently coordinates the European project COESO (coeso.hypotheses.org), which develops a dedicated platform to support participatory research involving the social sciences and humanities disciplines (VERA). Trained in philosophy, journalism and sociology between Italy and France, she holds a PhD in philosophy of social sciences from the École des Hautes Études en Sciences Sociales (EHESS). Before reinvesting her research and project coordination skills in research and research project coordination, she has been a journalist for public and private media in Italy.
Christelle Pierkot is a geometrician with a PhD in computer science, specialising in Spatio-temporal data management. She is a FAIR data and Open Science expert for Earth Science communities. She is involved in National (data repository for the Earth System and the Environment) and European (FAIR-EASE, FAIR-IMPACT) projects.
Jessie Abbate is an infectious disease ecologist whose research has focused on understanding how pathogen distributions in host populations change over space and time. She currently works as a senior epidemiology consultant for the Health Emergency Information and Risk Assessment division of the World Health Organization’s Office for Africa, and as a research scientist and innovative business developer for the small French geospatial information technology company Geomatys. She is also a founding member of The Global Research and Analysis for Public Health (GRAPH) Network, a global multidisciplinary project aimed at building open tools and human capacity to improve analytics for public health based in Geneva.
Sarah Kada is an infectious disease modeller with a PhD in ecology and evolution who focuses on the epidemiology of infectious diseases. Using mathematical models and statistical inference, her goal is to understand disease dynamics in human populations in order to provide actionable information for public health. She is currently a researcher at Geomatys, a spatial infrastructure SME that develops solutions to provide emerging and re-emerging infectious disease risks using mathematical modelling and geospatial data.