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SSH researchers should be awakened to the huge possibilities and avenues for research based on ICT. The future of science is about multidisciplinary collaboration and applying new technologies. ICT tools for SSH researchers already exist, such as research-oriented social networking sites and tools to support scientific research, to manage labs and data, and to enable better communication. These tools could change the way SSH researchers carry out research, collaborate, disseminate and evaluate research outputs. The International Conference on Information-communication technologies enhanced Social Sciences and Humanities (ICTeSSH) is a three day annual conference where stakeholders come together for an open discussion to talk about the changing research ecosystem in SSH fields in the digital age due to the extremely fast development of ICT.
The ICTeSSH 2020 conference (https://ictessh.uns.ac.rs/) aims to bring together leading SSH researchers, computer scientists, informaticians, publishers, librarians, vendors of research ICT tools, SSH decision makers and others, to exchange and share their experiences and research results on all aspects of ICT enhanced Social Sciences and Humanities. In addition, the conference aims to discuss promising new ideas and identify new potential collaborators. The ICTeSSH 2020 conference will be held as an online conference in the last week of June.
- Dates of the conference: June 29th – July 1st, 2020
- Deadline for abstract submission:
November 29th, 2019, December 7th, 2019
- Notification of acceptance: January 31st, 2020
- Deadline for workshop/training proposal submission: January 15th, 2020
- Early bird registration: March 31st, 2020
- Regular registration: May 31st, 2020
Key Facts about the Conference
- Amazing plenary speakers;
- Open-access conference proceedings indexed in WoS – ITM Web conferences;
- Academic ICT products and infrastructure projects will be presented
- An award and prize (500 euros in goods) will be granted to the best conference paper presenter, as well as to the academic ICT tools quiz winner
We welcome submissions related to the themes listed below, however the conference Programme Committee will also consider submissions on any other aspect of ICT enhanced SSH. We are looking for three types of contribution: presentations on academic ICT tools or infrastructure projects, technical papers and research papers. The language of the conference will be English.
The initial submissions must be made by using the EasyChair platform (https://easychair.org/conferences/?conf=ictessh2020), in the form of an extended abstract.
The evaluation of the extended abstracts will be double-blind, therefore authors’ names, addresses, emails and affiliations MUST NOT be included in the extended abstract (in the file). The extended abstract MUST be submitted in PDF format and MUST NOT exceed four A4 pages (including figures) and MUST NOT exceed 1500 words.
The deadline for submitting extended abstracts is 29th November 2019.
Presenters will be notified of acceptance by 31st January 2020.
Accepted extended abstracts will be made available through the conference website. For all accepted papers and posters we will need a short biographical note for the website and a photograph. At least one author or co-author for each accepted abstract MUST be registered for the ICTeSSH conference no later than 15th March 2020. Authors who have not registered by this date will have their paper removed from the programme.
List of Themes
The ICTeSSH Programme Committee proposes to explore each of the following themes through the programme, however it is also open to considering proposals that may not strictly seem to fit into any of the five proposed themes:
Performing research – There are a lot of tools which can help SSH researchers to perform research. This theme includes, but is not limited to, the following sub-themes:
- ICT based methodologies and algorithms for SSH research
- HPC, GPU, simulation techniques, computationally-intensive data analysis
- Web Science
- Digital infrastructures for SSH
- for doing research, writing, reviewing, publishing and assessing research, as well as for outsourcing experiments
- Data tools
- data visualization tools, survey and statistic tools, computation of data, big data, machine learning, deep learning techniques, etc.
- Citizen science / people-powered research
- data gathering tools to help you involve the general public in your research efforts (an example of tool: https://www.zooniverse.org/)
- Exploring literature
- Google Scholar, Microsoft Academic Search, Zotero, Reference managers, automatic recommendation system, automatic literature review, Article visualization tools – these enhance your reading experience, for instance, by helping you navigate from one paper to another
- The Internet of things
- connecting instrumentation to the Internet
- Software source code tools
- to help the development of research software
Collaboration – Research cannot stay buried in the lab any more, and researchers all over the world should collaborate. Science is an increasingly collaborative endeavour because research problems tackled by today’s SSH researchers require a variety of expertise, skills and scientific equipment. There is a set of ICT tools that help researchers reach out to other researchers and find expertise for new collaborations. This theme includes, but is not limited to, the following sub-themes:
- Research-orientated social networks / social networks
- Tools for finding potential collaborators
- Virtual research environments
- Bibliometric analysis of publication and collaboration patterns in the digital age
- Collaborative writing of textual documents
- Collaborative development of data
- Collaborative development of source code
- Telecoms and meetings
- Communication tools
- Infrastructure for research communication
Dissemination – Some ICT tools help SSH researchers to communicate their research outputs to the general public. Managing large sets of data and programming code is already unavoidable for most researchers. Tools have been developed to efficiently store and share data, code, publications and other research objects. This theme includes, but is not limited to, the following sub-themes:
- Find and share data
- tools which help researchers to disseminate and find data and samples
- Data, publication and software source code repositories
- Open science and open data
- FAIR principles
- Experiment and study protocol repositories
- Research object / multimedia repositories
- Research-orientated social networks
- Web search engines and research objects
- Selection of journal for publishing papers
- Journal finder, publisher copyright and self-archiving policies
- Executable papers
Management – ICT could make management tasks much easier. Also, there are some new options for funding and evaluation of project proposals and results. This theme includes, but is not limited to, the following sub-themes:
- Laboratory and project management
- Electronic laboratory notebooks
- tools that help you collect funds for research from others
- Evaluation of research
- peer-review, altmetrics, national bibliographic databases, publication forums, etc.
- CRIS systems, institutional repositories, bibliographic databases, citation databases
- Scientometrics/bibliometrics analysis of SSH field based on various citation databases
Skills – There is so much for everyone to learn about how to use ICT to enhance SSH research. Senior researchers should ‘unlearn’ habits from the past and embrace academic culture change. SSH researchers should acquire the right skills in scholarly communications and keep these up to date. This theme includes, but is not limited to, the following sub-themes:
- Data & software carpentry
- Integration of various ICT tools
- Library services for supporting the digital SSH
The authors with accepted submissions will be invited to submit full papers for publishing in the ICTeSSH 2020 open-access proceedings indexed in WoS published by ITM Web conferences.
- Loet Leydesdorff (Ph.D. Sociology, M.A. Philosophy, and M.Sc. Biochemistry) is Professor emeritus at the Amsterdam School of Communications Research (ASCoR) of the University of Amsterdam. Since 2014, he is listed as a highly-cited author by the ISI at https://clarivate.com/hcr/
Title: How Are “Big Data” a Challenge to the Social Sciences?
Abstract: Against the monist programs and philosophies nowadays prevalent, I argue in favor of a dualism between information and meaning. The dynamics of (Shannon-type) information processing and meaning processing are different. In the social sciences, one studies the reflexive processing of meaning. Meaning is provided from the perspective of hindsight (against the arrow of time) and may generate redundancy: options which have not yet been realized. A calculus of redundancy can be envisaged.
Google Scholar: link
- Dr. Anneke Zuiderwijk is an Assistant Professor in open data at the Faculty of Technology, Policy and Management at Delft University of Technology in the Netherlands. Her research is focused on the development of theory that explains how, why and when infrastructural and institutional arrangements can incentivize open data sharing and use behavior by governments, researchers, companies and citizens. Anneke obtained her PhD with distinction, only awarded to the top 5% of TU Delft PhD candidates. In 2016, she received the international Digital Governance Junior Scholar Award and she was ranked as one of the most influential open data researchers worldwide.
Title: Open Research Data sharing and use by means of infrastructural and institutional arrangements
Abstract: Fully exploiting the opportunities of open research data requires researchers to openly share their data and to use the research data that others have openly shared. Despite existing policies that oblige data sharing (e.g. of scientific funding agencies, the European Commission and universities) researchers are often reluctant to share and use open research data (Wouter & Haak, 2017; Teperek, Higman & Kingsley, 2017). Previous research already shows that researchers may have very good reasons for not sharing research data openly and for not using open research data, for example because of the fear of not receiving credit for openly sharing research data (Molloy, 2011), because of a lack of skills in open data use (Zuiderwijk, Janssen & Dwivedi, 2015) or because of technical issues (Arzberger, Schroeder, Beaulieu et al., 2004; Zuiderwijk, 2015). The majority of obstacles for ORD sharing and use cannot be mitigated completely. Nevertheless, the negative impact of many challenges can be reduced with the right infrastructural and institutional arrangements, as suggested by previous research (Zuiderwijk, 2015; Altayar, 2018). This raises the question which infrastructural and institutional arrangements may work in which context, since research disciplines all have their own specific characteristics. In my talk I will discuss various examples of infrastructural and institutional arrangements, derived from my extensive research in open data and open science, and I will explain how they affect research data sharing and use. I will discuss both arrangements that have already been applied in various research disciplines, as well as novel, promising and questionable arrangements for the disciplines of social sciences and humanities. I will highlight questions that still remain to be solved.
Google Scholar: link
- Brian Nosek is co-Founder and Executive Director of the Center for Open Science (http://cos.io/) that operates the Open Science Framework (http://osf.io/). COS is enabling open and reproducible research practices worldwide. Brian is also a Professor in the Department of Psychology at the University of Virginia. He received his Ph.D. from Yale University in 2002. In 2015, he was named one of Nature’s 10 and to the Chronicle for Higher Education Influence list.
Title: Crowdsourcing Science (remote presentation)
Abstract: The standard contributor model in science is vertically integrated. Resources are centralized to an individual or small team that conducts the entire research process: idea, design, collection, analysis, and report. This approach makes it easy to assign credit, but it is inefficient in capitalizing on specialized expertise, it produces a lot of small science, and it is exclusive. A complementary model is horizontally distributed. Crowdsourcing modularizes and distributes the research process across many contributors. This approach leverages expertise, enables big science, and is more inclusive. I will illustrate value of crowdsourcing in the context of a metascience effort investigating reproducibility of psychological research.
Google Scholar: link
- Sören Auer is Professor of Data Science and Digital Libraries at Leibniz Universität Hannover and Director of the TIB. Prof. Auer has made important contributions to semantic technologies, knowledge engineering and information systems. He has received several awards, including an ERC Consolidator Grant from the European Research Council, a SWSA ten-year award, the ESWC 7-year Best Paper Award, and the OpenCourseware Innovation Award. Prof. Auer was founding director of the Big Data Value Association, led the semantic data representation in the Industrial/International Data Space, is an expert for industry, European Commission, W3C and member of the advisory board of the Open Knowledge Foundation.
Title: From papers to knowledge: Representing scientific contributions in the Open Research Knowledge Graph
Abstract: Despite an improved digital access to scientific publications in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely document-based. The document-oriented workflows in science have reached the limits of adequacy as highlighted by recent discussions on the increasing proliferation of scientific literature, the deficiency of peer-review and the reproducibility crisis. We need to represent, analyse, augment and exploit scholarly communication in a knowledge-based way by expressing and linking scientific contributions and related artefacts through semantically rich, interlinked knowledge graphs. This should be based on deep semantic representation of scientific contributions, their manual, crowd-sourced and automatic augmentation and finally the intuitive exploration and interaction employing question answering on the resulting scientific knowledge base. We need to synergistically combine automated extraction and augmentation techniques, with large-scale collaboration. As a result, knowledge-based information flows can facilitate completely new ways of search and exploration. In this talk we will present first steps in this direction and present some use cases in the context of our Open Research Knowledge Graph initiative and the ERC ScienceGRAPH project.
Google Scholar: link
- Dr. Nees Jan van Eck is senior researcher at the Centre for Science and Technology Studies (CWTS) at Leiden University in the Netherlands. He is doing research in the field of bibliometrics and scientometrics. His research focuses on the development of visualization tools and algorithms, mainly for analyzing the structure and development of science. Nees Jan is the main developer of VOSviewer and CitNetExplorer, two well-known software tools for visualizing bibliometric data. The VOSviewer software is frequently used in bibliometric studies. More than 1000 publications have appeared in international scientific journals in which the software is employed. He is also the head of ICT of CWTS, making him responsible for the entire data infrastructure of the center.
Title: Visual exploration of scientific literature using VOSviewer and CitNetExplorer
Abstract: It is essential for researchers to have an up-to-date understanding of the literature in their research field. However, keeping up with all relevant literature is highly time consuming. Bibliometric visualizations can support this task. These visualizations provide intuitive overviews of the literature in a research field, enabling researchers to obtain a better understanding of the structure and development of a field and to get an impression of the most significant contributions made in the field. In this talk, I will give an introduction to two software tools for bibliometric visualization: VOSviewer and CitNetExplorer. VOSviewer is a popular tool for visualizing bibliometric networks of publications, authors, journals, and keywords. CitNetExplorer is a tool for the visualization and analysis of citation networks of scientific publications. I will pay special attention to applications of VOSviewer and CitNetExplorer in the social sciences and humanities, focusing in particular on the use of advanced text mining, network analysis, and visualization techniques for analyzing large amounts of textual data.
Google Scholar: link
The conference will be held
at the Impact Hub Amsterdam . as a virtual meeting due to the COVID19 pandemic. The Impact Hub Amsterdam lies in the heart of Amsterdam – the capital of the Netherlands , known for its artistic heritage, elaborate canal system and narrow houses with gabled facades. Amsterdam is full of creative energy. The city is a living, growing and evolving network of academics, entrepreneurs, makers and marketers. The city is world-famous for its beautiful canals, bridges and museums. Visiting ICTeSSH 2020 in June 2020 does not only assure you of a wonderful experience on the Impact Hub Amsterdam, but also outside. Amsterdam is a city to explore, discover and be amazed about.
All questions about submissions should be emailed to firstname.lastname@example.org.