Last week the SORSE Team, launched SORSE (a Series of Online Research Software Events, pronounced ‘source’). We’re excited to bring you our international answer to the COVID-19-induced cancellation of many national RSE conferences.
To keep us all connected, collaborating and learning until the 2021 RSE Conferences, a wonderful group of volunteers has created this new series that aims to deliver a weekly event, either a talk, a workshop, a panel, a poster session, a software demo etc from the community. This is an open call to all RSEs and anyone involved with research software, worldwide, to submit an abstract.
The call will be open continuously with rolling deadlines. The first deadline is soon on the 12th July and then again on the 31st July, followed by the end of each month after that. Apply at any time and you'll be included in the next review.
Have an idea and want to collaborate on it? - Go to the Topic Bazaar - The topic bazaar is a place to encourage and create collaborations that can then be presented in a variety of formats within the series.
Want to have a say on the conference content? Go to the Wishlistand tell us what events and guest speakers you'd like to see.
The SORSE Team
Data Integration and Applications Workshop
Data are at the core of research in many domains outside of computer science, such as healthcare, social sciences, and business. Combining diverse sources of data provides potentially very useful and powerful data, but it is also a challenging research problem. There are a multitude of challenges in data integration: the data collections to be integrated may come from different sources; the collections may have been created by different groups; their characteristics can be different (different schema, different data types); and the data may contain duplicates. Solving these challenges requires substantial effort and domain experts need to be involved. In the era of Big Data, with organizations scaling up the volume of their data, it is critical to develop new and scalable approaches to deal with all these challenges. In addition, it is important to properly assess the quality of the source data as well as the integrated data. As a consequence, the quality of the source data will drive the methods needed for its integration. Data integration is an important phase in the KDD process, by creating new and enriched records from a multitude of sources. These new records can be queried, searched, mined and analyzed for discovering new, interesting and useful patterns.
The goal of this workshop is to bring together computer scientists with researchers from other domains and practitioners from businesses and governments to present and discuss current research directions on multi source data integration and its application. The workshop will provide a forum for original high-quality research papers on record linkage, data integration, population informatics, mining techniques of integrated data, and applications, as well as multidisciplinary research opportunities.
- Deadline for submitting abstracts: Monday 2 March (23:59 CET)
- Notification of acceptance: Monday 30 March
Our call is open to all colleagues working in the humanities, the (social) sciences, and heritage sectors with an interest and enthusiasm in the application and use of digital technologies. Submissions are welcome from researchers at all career stages. We particularly encourage early stage researchers (MA/PhD students and postdoctoral researchers) to submit abstracts. In addition, we welcome humanities scholars, developers, computer and information scientists as well as librarians, archivists and museum curators. The conference has a primary focus on recent advances concerning research activities in the Benelux as well as data- or research projects related to Belgium, The Netherlands, and Luxembourg. However, proposals from outside the Benelux are strongly encouraged as well.
More information on the DHBenelux2020 website
A new centre is designed to support researchers doing research on language and communication disorders, as well as researchers studying second language learning, bilingual language learning and sign languages. The Knowledge Centre for Atypical Communication Expertise (ACE) is a collaboration between the Centre for Language and Speech Technology from Radboud University and The Language Archive of the Max Planck Institute for Psycholinguistics.
For many of us it’s unimaginable to try to think of a world without seamless communication. But for 1 in 12 children and for millions of adults, struggling to communicate is still the reality of day-to-day life. Good quality research, using good quality research data, is crucial if we want to work towards improving their situation. We need it to increase our understanding of, for instance, processes in language learning, speech disorders, and mechanisms involved in sign language.
How and where to store
ACE will provide an all-round service for researchers working with data on atypical communication. Experts will provide help and advice on how to create new datasets on atypical communication, and how and where to store these datasets to make sure they are secure. They will maintain a helpdesk and organise workshops to help researchers make the most effective use of their research data. The Language Archive (TLA) offers a safe, secure archive for the datasets that researchers produce. They provide cutting-edge privacy and data protection securities, including strong authentication procedures, layered access to data and persistent identification.
ACE isn’t just for those who want to create their own datasets. Through The Language Archive, researchers will be able to get access to the resources donated by others. For example, via The Language Archive, researchers can access the SLI RU-Kentalis database, which contains the results of language tests performed with 63 Dutch-speaking children with developmental language disorder (find access the dataset here). A whole range of information can be found here; datasets of how language is used by deaf adults, by bilingual deaf children, or by children with ADHD (see the VALID website for more information).
Data sharing, via archives like The Language Archive, is essential. It means that researchers don’t have to reinvent the wheel (so to speak) for every project; they can re-use the resources provided by others. And it means that every participant who takes part in a study can be sure that a better, more efficient, use is being made of the precious information they provide.
The Knowledge Centre for Atypical Communication Expertise (ACE) is acknowledged by and part of the CLARIN infrastructure.
If you would like further information, please contact:
- Henk van den Heuvel,
- Science Communication Radboud University, , +31 (0)24 361 6000
- Find out more about the ACE Centre at its website here: https://ace.ruhosting.nl/
|Date||21 november 2019|
|Location||Vossius room of the University Library, Witte Singel 27, Leiden|
|Organisation||Leiden University Center of Digital Scholarship (LUCDS) & the LU Center for Digital Humanities (LUCDH)|
|Registration||Sign up now!|
The Centre for Digital Scholarship of Leiden University Libraries (UBL) and the Leiden Centre for Digital Humanities would like to invite you to the symposium on Tools Criticism on Thursday 21 November, from 10.00-18.00. The symposium will be held in the Vossius room of the University Library at Witte Singel 27, Leiden. The symposium also includes the public lecture from Visiting Scaliger Professor Ted Underwood, Professor of Information Sciences and of English at the University of Illinois. This lecture will be held in the Academy Building and will be followed by a reception.
|10:15-10:45||Theoretical introduction and rationale of the theme Tools & Data Criticism by Julia Noordegraaf, Professor of Digital Heritage, University of Amsterdam.|
|10:45-11:15||Lecture 1: Peter Verhaar, Assistant Professor Book & Digital Media Studies & Digital Scholarship Librarian, Leiden University:
'Relations between algorithms, data and interpretation'.
|11:15-11:45||Lecture 2: Karin van Es, Assistant Professor of Media and Culture Studies, Utrecht University.
‘Accountability & Tool Criticism’.
|11:45-12:15||Lecture 3: Gerhard Lauer, Professor Digital Humanities, University of Basel, ‘The value of exact scholarship. Towards a methodology for tools criticism'.|
|13:00-15:00||Practical examples of Tools Criticism. During this session, a number of scholars will give a lecture on their research and the tools they use. They will go into the 'bias' of using certain tools and data and the implications of the research results.|
|13:00-13:30||Lecture 1: Marijn Koolen, Software Engineer, KNAW Humanities Cluster. ‘Tools that encourage criticism: digital humanities infrastructures and research.’|
|13:30-14:00||Lecture 2: Melvin Wevers, Researcher, Digital Humanities Lab, KNAW Humanities Cluster. ‘Signals and Noise: Modelling patterns and bias in cultural data.’|
|14:00-14:30||Lecture 3: Jasmijn van Gorp, Assistant Professor of Television and Digital Heritage, Utrecht University. ‘Teaching methodologies and pedagogy for Digital Humanities. A model for Digital Tools Criticism.’|
|14:30-15:00||Panel session on methodology/best practices in tools criticism. Moderator: Sjef Barbiers, Professor of Dutch Linguistics, Leiden University. Panel: Gerhard Lauer, Adriaan van der Weel, Julia Noordegraaf, Ted Underwood.|
Public Lecture by Visiting Scaliger Professor Ted Underwood, Professor of Information Sciences and of English, University of Illinois at Urbana-Champaign.
In an age of print media, it was easy to see how scrutinizing novels and historical documents prepared students to scrutinize arguments in the newspaper. It is harder to feel confident that the humanities are preparing students for civic life now that influence is exerted through algorithmically filtered social media and microtargeted ads. Many observers have concluded that the scholar's role in our era is simply to oppose the infiltration of culture by algorithms. In this talk I will try to sketch a more optimistic vision of the future, pointing to places where humanists are joining hands with data science to create a form of public reflection that fuses the scale of machine learning with the historical self-consciousness of humanistic tradition.
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