Calders is a professor in the computer science department of the University of Antwerp in Belgium. He is an active researcher in the area of data mining and machine learning. He is editor of the data mining journal, and has been program chair of a number of data mining and machine learning conferences, including ECML/PKDD 2014 and Discovery Science 2016. Toon Calders was one of the first researchers to study how to measure and avoid algorithmic bias in machine learning and is one of the editors of the book “Discrimination and Privacy in the Information Society - Data Mining and Profiling in Large Databases”, published by Springer in 2013. He is currently leading a group of 6 researchers studying theoretical aspects of fairness in machine learning, as well as looking into practical use cases in collaboration with Flemish tax authorities, public welfare organizations, and an insurance company.

Daniele Dell'Aglio is an assistant professor in the data, knowledge and web engineering (DKW) group at Aalborg University. He is interested in the management of dynamic data on the web, with a keen interest in querying, relational learning and data privacy. His research was awarded with an IBM PhD Fellowship award 2014/15. Before joining Aalborg University, Daniele was a postdoc at the University of Zurich and a research fellow at the University of Aberdeen. He holds a PhD from Politecnico di Milano with a thesis on a formal reference model to capture the behaviour of stream reasoning engines. During his PhD, Daniele spent a summer at IBM Research Ireland as a research intern and a trimester at WU Vienna as a visiting student. From 2013 to 2016, he participated to the W3C Community Group on RDF Stream Processing. From 2008 to 2012, Daniele worked as a junior researcher and consultant at CEFRIEL, where he participated in the Smart City research activities of the LarKC FP7 project. He contributed to research in the area of publishing and processing dynamic data on the web (best poster awards at ISWC 2018 and 2019), and in the realization of several prototypes of services in the urban context, such as BOTTARI (1st prize at the Semantic Web challenge 2011), Traffic LarKC (1st prize at the AI Mashup challenge 2011), Twindex and ECSTASYS (respectively 3rd prize at the AI Mashup challenge 2013 and 2014).

Minos Garofalakis is the Director of the Information Management Systems Institute (IMSI) at the ATHENA Research and Innovation Centre in Athens, Greece, and a Professor at the School of Electrical and Computer Engineering of the Technical University of Crete (TUC), where he also directs the Software Technology and Network Applications Laboratory (SoftNet). He received his PhD in Computer Science from the University of Wisconsin-Madison in 1998, and has held positions as a Member of Technical Staff at Bell Labs, Lucent Technologies (1998-2005), as a Senior Researcher at Intel Research Berkeley (2005-2007), and as a Principal Research Scientist at Yahoo! Research (2007-2008). In parallel, he also held an Adjunct Associate Professor position at the EECS Department of the University of California, Berkeley (2006-2008). His research interests are in the broad areas of Big Data analytics and large-scale Machine Learning. He has published over 180 scientific papers and is an inventor on 36 US Patent flings (29 patents issued) for companies such as Lucent, Yahoo!, and AT&T. GoogleScholar gives over 15,000 citations to Prof. Garofalakis's work, and an h-index value of 66. He is an ACM Fellow (2018) and an IEEE Fellow (2017) for contributions to data analytics, and a recipient of the TUC Research Excellence Award (2015), the Bell Labs President's Gold Award (2004), and the Bell Labs Teamwork Award (2003).

Lora Frayling is a Data Scientist working at Health Data Insight (HDI), UK. She holds a BSc in Economics and Statistics from UCL (2018) and a MSc in Data Science from the London School of Economics (2020). Lora's work focuses on applications of machine learning and deep learning methods to healthcare services, with a particular focus on privacy-preserving synthetic data generation. She currently leads the development of the Simulacrum, a widely distributed synthetic dataset used to support evaluations and improvements of cancer treatments. She works on advanced methods and has authored whitepapers and guidance for users of the Simulacrum. Lora also actively collaborates with the broader data science community, taking part in datathons and data-for-good projects. This includes ongoing work on the early detection of dementia using data held by Dementia Platform UK (DPUK).

Aggelos Kiayias FRSE is chair in Cyber Security and Privacy and director of the Blockchain Technology Laboratory at the University of Edinburgh. He is also the Chief Scientist at blockchain technology company IOHK. His research interests are in computer security, information security, applied cryptography and foundations of cryptography with a particular emphasis in blockchain technologies and distributed systems, e-voting and secure multiparty protocols as well as privacy and identity management. His research has been funded by the Horizon 2020 programme (EU), the European Research Council (EU), the Engineering and Physical Sciences Research Council (UK), the Secretariat of Research and Technology (Greece), the National Science Foundation (USA), the Department of Homeland Security (USA), and the National Institute of Standards and Technology (USA). He has received an ERC Starting Grant, a Marie Curie fellowship, an NSF Career Award, and a Fulbright Fellowship. He holds a Ph.D. from the City University of New York and he is a graduate of the Mathematics department of the University of Athens. He has over 100 publications in journals and conference proceedings in the area. He has served as the program chair of the Cryptographers’ Track of the RSA conference in 2011 and the Financial Cryptography and Data Security conference in 2017, as well as the general chair of Eurocrypt 2013. He also served as the program chair of Real World Crypto Symposium 2020 and the Public-Key Cryptography Conference 2020. In 2021 he was elected fellow of the Royal Society of Edinburgh.

Georgia Koutrika is a Research Director at Athena Research Center in Greece. She has more than 15 years of experience in multiple roles at HP Labs, IBM Almaden, and Stanford. Her work emerges at the intersection of data management, natural language processing and deep learning and focuses on intelligent and interactive data exploration, conversational data systems, and user-driven data management. Her work has been incorporated in commercial products, described in 14 granted patents and 26 patent applications in the US and worldwide, and published in more than 100 papers in top-tier conferences and journals.
Georgia is an ACM Senior Member and IEEE Senior Member. She is a member of the VLDB Endowment Board of Trustees, member of the PVLDB Advisory Board, member of the ACM-RAISE Working Group, co-Editor-in-chief for VLDB Journal, PC co-chair for VLDB 2023, co-EiC of Proceedings of VLDB (PVLDB). She has been associate editor in top-tier conferences (such as ACM SIGMOD, VLDB) and journals (VLDB Journal, IEEE TKDE), and she has been in the organizing committee of several conferences including SIGMOD, ICDE, EDBT, among others.
She has received a PhD and a diploma in Computer Science from the Department of Informatics and Telecommunications, University of Athens, Greece.

Natalia Manola is the CEO of OpenAIRE (www.openaire.eu), a pan European e-Infrastructure supporting scholarly communication and open science in Europe. Natalia holds a Physics degree from the University of Athens, and an MS in Electrical and Computing Engineering from the University of Wisconsin at Madison and has worked for several years as a Software Engineer and Architect in the Bioinformatics commercial sector. She has expertise in Open Science policies and implementation, having served in the EOSC Executive Board 2019-20, and in the Open Science Policy Platform (2016-17), an EC High Level Advisory Group provide advice about the development and implementation of open science policy in Europe.

Dr Natasa Milic-Frayling is a Founder and CEO of Intact Digital Ltd, a company that provides a platform and services for hosting legacy software installations to enable long-term readability and use digital data. Intact Digital works with highly regulated sectors such as Pharma and Life Sciences to support compliance with the data integrity regulations, reconstruction of research studies and reproducibiity of data analyses.

Natasa has 25 years of experience in computer science research and innovation, including 17 years at Microsoft Research. She authored over 100 research publications and has a dozen of approved patents to her name. She is Professor Emerita at the University of Nottingham where she spent 5 years serving as Chair of Data Science and contributing to the University research strategy on Data Science and AI.

Natasa is actively engaged with a broader professional community on critical issues that arise from wide use of digtial technologies ranging from professional ethic, privacy and design transparency to digital obsolescence and responsible innovation. She served as a member of the Association for Computing Europe Council and as Chair of ACM Women Europe. She is an active member of the Preservation Sub-Committee within the UNESCO Memory of the World Programme and serves as Chair of the Research and Technology Working group for the UNESCO PERSIST project.

Elli Papadopoulou works at the Information Management Systems Institute (IMSI) of ATHENA Research and Innovation Center in Greece. She is a digital librarian involved in projects relevant to Open Science, Research Data Management and the European Open Science Cloud (EOSC). Elli coordinates the activities of the Greek OpenAIRE NOAD and is the product manager of Argos tool for machine actionable Data Management Plans. More about her scientific contributions can be found in her ORCID account: 0000-0002-0893-8509. Blogposts highlighting her contribution in OpenAIRE can be browsed at: https://www.openaire.eu/blogs/authors/ellipapa.

Jorge Quiané is the head of the Big Data Systems research group at the Berlin Institute for the Foundations of Learning and Data (BIFOLD) and a Principal Researcher at DIMA (TU Berlin). He also acts as the Scientific Coordinator of the IAM group at the German Research Center for ArtificialIntelligence (DFKI). His current research is in the broad area of big data: mainly in federated data analytics, scalable data infrastructures, and distributed query processing. He has published numerous research papers on data management and novel system architectures. He has recently been honoured with the 2022 ACM SIGMOD Research Highlight Award and the Best Paper Award at ICDE 2021 for his work on “EfficientControl Flow in Dataflow Systems”. He holds five patents in core database areas and on machine learning. Earlier in his career, he was a Senior Scientist at the Qatar Computing Research Institute (QCRI) and a Postdoctoral Researcher at Saarland University. He obtained his PhD in computer science from INRIA (Nantes University).

Dr Manolis Terrovitis is Principal Researcher at the Information Systems Management Institute of Research Center Athena in Athens, Greece. His main research interests lie in the areas of Privacy Preservation and Big Data management. Manolis is working on Data Anonymization algorithms, and is am responsible for the development of the Amnesia (https://amnesia.openaire.eu) anonymization tool. Amnesia is s novel application that transforms personal data to statistical. He is also active in other aspects of privacy protection and serves as Data Protection Officer in the Greek Precision Medicine Network for Oncology and for Cardiology. Manolis's work in big data management focuses on query evaluation algorithms for complex data and modern CPU architectures. He is the Coordinator of the Horizon2020 project MORE: Management of Real-Time Energy Data, which provides solutions for extreme scale analytics on sensor data from wind and solar parks. His published work appears in some of the most important venues in data management (PVLDB, VLDBJ, ICDE, TKDE etc.) and Google Scholar reports over 2300 citations to his work and an h-index of 20. The last few years Manolis has been teaching in the MSc in Business Analytics program of the Athens University of Economics and Business. In the past he has served as the President of the Hellenic Accreditation System and as member of the board of directors of Information Society S.A., a public company responsible for the procurement of ICT services and products for the Greek State.

Prodromos is the Head of Digital Development and Innovation at the Onassis Group and is a legal and policy counsel for Athena Research Centre and OpenAIRE. He has served as the Chair of the Administrative Council of the Greek Industrial Property Organisation (OBI) and has founded the Hellenic Industrial Property Academy. He has over 150 publications and talks on legal and business aspects of e-government, Ethics by Design, open technologies, digital content and IPR and innovation policy and strategy. Prodromos is the director of the Institute of IPR and Innovation at the European Public Law Organisation and the Chair of the Supervisory Board of the European Patent Academy (EPA). He is currently teaching AI Law and Ethics at the National Technical University of Athens and at the Athens University of Economics and Business.