Ove godine na konferenciji Dani e-infrastrukture 2018 ugostit ćemo dva pozvana predavača koji će održati predavanja na engleskom jeziku:
Ann Harding radi u organizaciji SWITCH koja omogućuje različite IT-usluge akademskoj zajednici u Švicarskoj, članica je AAI tima te je više puta vodila razvoj sustava elektroničkih identiteta u okviru projekata GÉANT. Na konferenciji DEI 2018 održat će pozvano predavanje na temu uloge i važnosti sustava elektroničkih identiteta u akademskoj i istraživačkoj zajednici.
Ann Harding has worked for SWITCH since 2007 and is currently in the AAI team. She has led development for Trust and Identity services in three consecutive GÉANT projects since 2013.
The portfolio of Trust and Identity services Ann leads is collaboratively delivered by more than 20 partners (GÉANT and NRENs) across Europe and includes:
- eduGAIN, the federated identity interfederation service of GÉANT including additional developments
- to increase support to research
- to introduce security incident response
- to interoperate with eIDAS and other non R&E providers
- New federated Identity based services to enhance eduGAIN
- eduTEAMS - a platform for collaborations
- InAcademia - simple validation
- to make it easier for small sites to deploy
- to improve diagnostics and troubleshooting.
Ann has gained third-level qualifications in Arts and Humanities and Computer Science and a Master’s qualification in Cultural and Media studies.
All of these come in useful in developing and driving a strategy and implementation for R&E Trust and Identity in Europe.
Keynote: The challenges of (non-)openness – Trust and Identity in Research and Education
Information wants to be free! But sometimes this is not possible, even in an Open Access scenario. Giving access to resources without restriction can also threaten individual privacy and the integrity of the data sources. And then there are of course commercial considerations for many providers of resources such as academic journals. To coordinate that on a pan-European scale is a significant challenge – how to manage users, how to implement radically different access policies.
For the last decade and more the research and education community has addressed this using federated identity, and latterly, to cross borders, eduGAIN which connects national infrastructures. However, as the kinds of resource providers diversify, and the challenges of data protection and scalability grow, how is federated identity management for R&E adapting to meet this challenge?
I will talk about how we are growing the footprint of R&E federated and improving the baseline, with more managed services, security incident response and mechanisms for supporting safe attribute release in eduGAIN. But I will also where we need to be more disruptive and not assume one-size fits all – that we need to be open to new technologies and protocols adopted by industry, to interoperate with government infrastructure, and to handle increasingly complex requirements by layering new services above and below the established eduGAIN infrastructure.
What will be the impact of both evolution and revolution upon campuses, resource providers, federations and eduGAIN? Listen, and be part of the debate!
Discussion: How to efficiently use trust and identity services in research environment?
Federated Identity Management (FIM) is a way of spreading the risk, workload and costs for user access management among a number of parties. The most significant beneficiary are the users who get the convenience of accessing many systems with one set of credentials, but without the disadvantage of having their privacy invaded or having their personal data unreasonably exploited. Federation identity management can benefit both higher education institutions as well as researchers by fostering cooperation and facilitate research.
How can FIM help researchers even more? Do researches from different fields of research have different needs? What are those needs? How is FIM used by science and higher education systems in Switzerland and Croatia? What are the prerequisites for expanding FIM’s distribution?
These are some of the questions that will be addressed during the discussion.
Beside keynote speaker, Ann Harding from SWITCH (institution that enables various IT services to the academic community in Switzerland), the introduction to the discussion will be given by Croatian researchers and practitioners:
- Marko Tadić, professor at the Department of Linguistics at the Faculty of Humanities and Social Sciences, University of Zagreb and national coordinator for CLARIN ERIC
- Kristian Vlahoviček, professor at the Department of Biology at the Faculty of Science, University of Zagreb and the head of the Bioinformatics group
- Miroslav Milinović, Assistant Director for Information and Middleware Infrastructure at the University Computing Centre, University of Zagreb and the head of AAI@EduHr
Olivier Verscheure ravnatelj je Švicarskog centra za znanost o podacima (Swiss Data Science Center). Na konferenciji Dani e-infrastrukture 2018 držat će predavanje na temu otvorene znanosti.
Olivier Verscheure is the Director of the Swiss Data Science Center (SDSC), a joint venture between EPFL and ETH Zurich whose mission is to accelerate the adoption of data science and machine learning techniques within the academic community and the industrial sector. Prior to that, Olivier was with IBM Research for over 16 years; first, at the IBM T. J. Watson Research Center, NY as a member of the research staff, where he managed the Exploratory Stream Analytics research group for over 10 years, then as a Senior Research Manager and co-director of the newly established IBM Research lab in Dublin, Ireland, for 6 years. Olivier received two IBM Outstanding Technical Achievement Awards, published nearly 100 research papers in top international forums, two of which were awarded Best Paper, is regularly invited to speak nationally and internationally, has invented more than 40 US and international patents, chaired major international technical conferences and workshops in his research areas, and served on PhD committees in major universities.
Keynote: Towards open science: Swiss Data Science Center
Benefits from open science are numerous and various. The most obvious are transparency and verifiability. They are attributes that science requires from researchers who make a scientific claim public. Today, with the increasing volume and complexity of data, sharing scientific results in the form of an article is not sufficient to verify the validity of this claim. Open science in general promotes incentives, tools and best practices to share scientific results beyond the traditional publication format. In the light of the “reproducibility crisis” in various fields, it has become obvious to many scientists that transparency is one way to alleviate the risk of erroneous – or fraudulent – conclusions. Providing researchers with the skills and tools to properly document their studies will ultimately foster trust and excellence in science. Researchers must be able to trust published research even when the data is not made public. There is therefore a critical need for tools enabling a trusted, verifiable science at all times.
The barriers to open science are also cultural; i.e., in the way academia currently rewards researchers. With a reputation solely based on journal articles and books, too little incentive is put on the careful documentation and sharing of science. Researchers must be rewarded for the transparency of their studies, and the efforts they put in quality control before subjecting their research to scrutiny. Ideally, they should also give up on the idea that they own the data they produce with the help of public funding. Only then will the open science vision be possible.
Discussion: Open science - challenges and solutions
European Commission defines Open Science as a new approach to the scientific process based on cooperative work and new ways of diffusing knowledge by using digital technologies and new collaborative tools.
What are the main aspects of open science? In which ways the idea of open science can be achieved? What are the needs of the researchers and what advancement can be brought by technology? Which information systems, platforms or ideas can be recognised as the examples of good practice in Switzerland and Croatia? How to encourage researchers to make their findings and data more publicly accessible?
Those are some of the questions that will be addressed during the discussion.
Beside keynote speaker, Olivier Verscheure, Executive Director of Swiss Data Science Center, the introduction to the discussion will be given by Croatian researchers and practitioners:
- Sven Lončarić, professor at the Department of Electronic Systems and Information Processing at the Faculty of Electrical Engineering and Computing, University of Zagreb and the head of the Research Unit for Data Science at the Center of Research Excellence for Data Science and Advanced Cooperative Systems
- Davor Davidović, researcher at the Ruđer Bošković Institute and the coordinator of the DARIAH-Competence Centre
- Draženko Celjak, head of Data services and collaboration systems at the University Computing Centre, University of Zagreb and the project leader of DABAR - Digital academic archives and repositories