Complete LibTech 2013 Print Program

PDF of the complete print program from the 2013 Library Technology Conferenc

The Future of Knowledge Sharing in a Digital Age: Exploring Impacts and Policy Implications for Development

We live in a Digital Age that gives us instant access to information at greater and greater volumes. The rapid growth of digital content and tools is already changing how we create, consume and distribute knowledge. Even though globally participation in the Digital Age remains uneven, more and more people are accessing and contributing digital content every day. Over the next 15 years, developing countries are likely to experience sweeping changes in how states and societies engage with knowledge. These changes hold the potential to improve people’s lives by making information more available, increasing avenues for political and economic engagement, and making government more transparent and responsive. But they also carry dangers of a growing knowledge divide influenced by technology access, threats to privacy, and the potential loss of diversity of knowledge. Our research sets out with a 15-year horizon to look at the possible ways in which digital technologies might contribute to or damage development agendas, and how development practitioners and policymakers might best respond.UK Department for International Developmen

Making digital history: The impact of digitality on public participation and scholarly practices in historical research

This thesis investigates tow key questions: firstly, how do two broad groups - academic, family and local historians, and the public - evaluate, use, and contribute to digital history resources? And consequently, what impact have digital technologies had on public participation and scholarly practices in historical research? Analysing the impact of design on participant experiences and the reception of digital historiography by demonstrating the value of methods drawn from human-computer interaction, including heuristic evaluation, trace ethnography and semi-structured interviews. This thesis also investigates the relationship between heritage crowdsourcing projects (which ask the public to help with meaningful, inherently rewarding tasks that contribute to a shared, significant goal or research interest related to cultural heritage collections or knowledge) and the development of historical skills and interests. It situates crowdsourcing and citizen history within the broader field of participatory digital history and then focuses on the impact of digitality on the research practices of faculty and community historians. Chapter 1 provides an overview of over 400 digital history projects aimed at engaging the public or collecting, creating or enhancing records about historical materials for scholarly and general audiences. Chapter 2 discusses design factors that may influence the success of crowdsourcing projects. Following this, Chapter 3 explores the ways in which some crowdsourcing projects encourage deeper engagement with history or science, and the role of communities of practice in citizen history. Chapter 4 shifts our focus from public participation to scholarly practices in historical research, presenting the results of interviews conducted with 29 faculty and community historians. Finally, the Conclusion draws together the threads that link public participation and scholarly practices, teasing out the ways in which the practices of discovering, gathering, creating and sharing historical materials and knowledge have been affected by digital methods, tools and resources

Evolution of academic dishonesty in computer science courses

[EN] Online exams and assignments during the COVID-19 pandemic have introduced new forms of student cheating. In order to maintain evaluation criteria and preserve established ethical standards, professors have introduced new methods to minimize cheating. When returning onsite, the newly created cheating techniques evolved once again. They were supported by special groups on social networks dedicated to easier liquidation of exams and getting better grades. Crowdsourcing became frequent, particularly for homework assignment  preparation. Recently, ChatGPT has become a new ally of students. This paper presents the evolution of student cheating in several computer science courses taught by the authors of this paper. All examples of cheating are supplemented by the detecting methods and own applications used to prevent them from occurring again. The paper ends by predicting who will win in the eternal war between students and professors, at least in the short run.Zdravkova, K. (2023). Evolution of academic dishonesty in computer science courses. En 9th International Conference on Higher Education Advances (HEAd'23). Editorial Universitat Politècnica de València. 421-428. https://doi.org/10.4995/HEAd23.2023.1608142142

Human Computation and Convergence

Humans are the most effective integrators and producers of information, directly and through the use of information-processing inventions. As these inventions become increasingly sophisticated, the substantive role of humans in processing information will tend toward capabilities that derive from our most complex cognitive processes, e.g., abstraction, creativity, and applied world knowledge. Through the advancement of human computation - methods that leverage the respective strengths of humans and machines in distributed information-processing systems - formerly discrete processes will combine synergistically into increasingly integrated and complex information processing systems. These new, collective systems will exhibit an unprecedented degree of predictive accuracy in modeling physical and techno-social processes, and may ultimately coalesce into a single unified predictive organism, with the capacity to address societies most wicked problems and achieve planetary homeostasis.Comment: Pre-publication draft of chapter. 24 pages, 3 figures; added references to page 1 and 3, and corrected typ

A Virtual Crowdsourcing Community for Open Collaboration in Science Processes

Although science has become an increasingly collaborative endeavor over the last hundred years, only little attention has been devoted to supporting scientific on-line communities. Our work focuses on scientific collaborations that revolve around complex science questions that require significant coordination to synthesize multi-disciplinary findings, enticing contributors to remain engaged for extended periods of time, and continuous growth to accommodate new contributors as needed as the work evolves over time. This paper presents a virtual crowdsourcing community for open collaboration in science processes to address these challenges. Our solution is based on the Semantic MediaWiki and extends it with new features for scientific collaboration. We present preliminary results from the usage of the interface in a pilot research project

Open Access guidelines for the arts and humanities: Recommendations by the DARIAH European research infrastructure consortium

In the DARIAH Open Access guidelines we propose recommendations to improve Open Access to publications in the arts and humanities. Our core aim is to bring closer the harmonized but transforming European Open Access policy landscape to the communities around DARIAH and recommend very practical steps to achieve compliance with it.In the DARIAH Open Access guidelines we propose recommendations to improve Open Access to publications in the arts and humanities. Our core aim is to bring closer the harmonized but transforming European Open Access policy landscape to the communities around DARIAH and recommend very practical steps to achieve compliance with it

Still in Need of Norms: The State of the Data in Citizen Science

This article offers an assessment of current data practices in the citizen science, community science, and crowdsourcing communities. We begin by reviewing current trends in scientific data relevant to citizen science before presenting the results of our qualitative research. Following a purposive sampling scheme designed to capture data management practices from a wide range of initiatives through a landscape sampling methodology (Bos et al. 2007), we sampled 36 projects from English-speaking countries. The authors used a semi-structured protocol to interview project proponents (either scientific leads or data managers) to better understand how projects are addressing key aspects of the data lifecycle, reporting results through descriptive statistics and other analyses. Findings suggest that citizen science projects are doing well in terms of data quality assessment and governance, but are sometimes lacking in providing open access to data outputs, documenting data, ensuring interoperability through data standards, or building robust and sustainable infrastructure. Based on this assessment, the paper presents a number of recommendations for the citizen science community related to data quality, data infrastructure, data governance, data documentation, and data access