Keynote speakers
INFuture conference have a line-up of international keynote speakers discussing this year's theme "e-Institutions – Openness, Accessibility, and Preservation":
Karen AndersonBuilding trust and confidence through sustainable information systems research: towards a common futureThe Information Systems research group at Mid Sweden University is the result of four separate groups, spread across three disciplines, artificially thrown together because we didn’t seem to fit into other developed research groups. The disciplines are: Archives and Information Science, Industrial Economy and Informatics. What we were seen to have in common was ‘information’.
BiographyKaren Anderson, PhD, is the Foundation Professor of Archives and Information Science at Mid Sweden University. She is the Director of the InterPARES Trust European Team and a member of the Information Systems research group and the Centre for Digital Information Management (CEDIF) at Mid Sweden University. Her research interests include implementation of trustworthy, standards-based digital recordkeeping systems; benchmarking information management practice and development of professional standards for sustainable long-term management of records. She is an Editor-in-Chief for Archival Science, a member of the editorial board of the International Journal of Public Information Systems and an expert member of the Swedish Standards Institute Technical Committee for Records Management. |
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Luciana DurantiCyberspace: A Communal Place or a Place of Separation?Cyberspace, or the 5th dimension, is regarded by most as a virtual space, though, as P. J. Rey states “real-virtual dualism is nothing more than a fiction.” The idea, he contends, comes from a refusal to accept the physical extension of digital information in computer terminals and other machines. Cyberspace is a physical space of separation between those who provide information and those who access it. Yet, many perceive it as a communal space where documentary facts, actions and memories are shared. As a result, policies that attempt to regulate the activities carried out in cyberspace, take two opposite directions: on the one hand they support open access, open data, transparent and open government, redundancy, and permanent preservation, and on the other hand they proclaim the right to oblivion, or to be forgotten, the right to privacy, the duty to confidentiality and secrecy, expungement of data or elimination of links, jurisdictional control of storage locations, as well as destruction of records after they have served their usefulness for the purposes they were generated. This keynote will discuss these directions in light of the findings of international research projects.
BiographyDr. Luciana Duranti is Chair of Archival Studies at the School of Library, Archival and Information Studies of the University of British Columbia (UBC), Canada, and a Professor of archival theory, diplomatics, and the management and preservation of digital records in both its master’s and doctoral archival programs. She is Director of the Centre for the International Study of Contemporary Records and Archives (CISCRA, http://www.ciscra.org) and of InterPARES, the largest and longest living publicly funded research project on the long-term preservation of authentic electronic records (1998-2018), the 4th iteration of which is called InterPARES Trust (http://www.interparestrust.org), the “Digital Records Forensics” Project, and the “Records in the Clouds” Project. She is co-Director of “The Law of Evidence in the Digital Environment” Project.
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Rafał JaworskiApproximate sentence matching and its applications in corpus-based language researchApproximate sentence matching (ASM) is a technique of retrieving sentences from a large corpus that are similar to a given pattern sentence. One of the most important challenges in ASM is finding a good sentence similarity measure, which would reflect human intuition of sentence resemblance. Another challenge is designing a robust and scalable algorithm, capable of retrieving similar sentences from a large text corpus, using a given similarity measure.
BiographyRafał Jaworski, a researcher and lecturer in computational linguistics. Holds a PhD degree in computer science and specializes in natural language processing. His main areas of interest include approximate searching, computer-aided translation, corpus-based research and theory of algorithms. Works as an assistant professor at Adam Mickiewicz University in Poznań, Poland. In his free time likes riding a bike, playing guitar and practice basic acrobatics (though not all at once).
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