Olle Sköld is a Senior Lecturer at the Department of ABM (Archives, Libraries, and Museums) at Uppsala University. He is also the Head of the Department of ABM and holds an Associate Professor position in Library and Information Science. His research spans digital humanities, documentation practices, knowledge production, and digital preservation, with a particular focus on archaeological data processes and virtual world communities. Archaeological data documentation and reuse Digital game preservation Paradata theory and applications Information practices in social media His recent publications explore paradata in data papers, literacy challenges in research data management, and trust technologies like blockchain in digital archives. Olle is involved in the CAPTURE project, investigating documentation workflows for archaeological data. He has contributed to the Master's Programme in Digital Humanities at Uppsala University, blending digital humanities with library and information science education.
Professor Isto Huvila is a leading scholar at Uppsala University's Department of ABM (Archives, Libraries, and Museums) within the Faculty of Humanities. His academic profile spans information science, digital humanities, and cultural heritage studies with a distinctive focus on documentation practices and information management across diverse contexts. His research interests encompass: Information and knowledge management Social and participatory information practices Documentation and paradata theory Digital humanities and archaeological information systems Health information and e-health services Open data and research data management Recent scholarly output reveals a strong trajectory toward understanding information practices across multiple domains. A significant portion of his work examines paradata in archaeological contexts through the CAPTURE project, investigating how documentation of data creation processes can enhance research transparency and data reuse. He also conducts extensive research on digital inclusion among older adults and immigrant populations regarding e-health services, analyzing both experiences and expectations of these user groups. Professor Huvila publishes in high-impact journals including Journal of Documentation, Information Research, Journal of the Association for Information Science and Technology, and Journal of Medical Internet Research. His interdisciplinary approach connects information science with archaeology, health informatics, and digital humanities, yielding practical insights for improving documentation standards, research data management, and e-health service design. His 2025 book 'Paradata: Documenting Data Creation, Curation and Use' represents a major contribution to the field, alongside influential review articles like 'Trends in information behavior research, 2016-2022' in the Annual Review of Information Science and Technology. His work bridges theoretical and practical concerns in information science, making substantive contributions to both academic knowledge and real-world applications in cultural heritage institutions and healthcare information systems.
Victoria Lemieux is a Professor at the University of British Columbia (UBC) Faculty of Arts, School of Information, and Cluster Lead for Blockchain@UBC, Canada’s largest research cluster focused on blockchain technology. Her research centers on risks to trustworthy records in blockchain systems and their impact on transparency, financial stability, and human rights. She has pioneered Canada’s first research-oriented graduate blockchain training program and organized multiple interdisciplinary summer institutes. Education: Ph.D. in Archival Studies from University College London (2002), Certified Information Systems Security Professional (CISSP, 2005). Affiliated with UBC’s Peter Wall Institute for Advanced Studies, Sauder School of Business, and Institute for Computers, Information and Cognitive Systems (ICICS). Research interests span blockchain technology , trustworthy records , risk management , information governance , and visual analytics , with recent work addressing healthcare data frameworks, Web3 AI integration, and socio-cultural dynamics of decentralized systems. She has published extensively on blockchain applications in archives, land transactions, and privacy-preserving technologies. Scientific Awards : 2015 Emmett Leahy Award 2015 World Bank Big Data Innovation Award 2016 Emerald Literati Award 2016 Emerald Literati Outstanding Paper Award Supervision: Currently accepts doctoral students in Computational Archival Science and blockchain-related archival research. Affiliated with the Blockchain@UBC cluster and multidisciplinary research teams exploring decentralized systems for social good.
Dr Alexandru Cernat is a Senior Lecturer in Social Statistics at The University of Manchester, affiliated with the Cathie Marsh Institute. His research focuses on data collection methodologies, longitudinal data analysis, and measurement error reduction. He specializes in latent variable models, mixed mode surveys, and integrating digital trace data with traditional datasets. Key projects include improving crime data accuracy through statistical modeling and analyzing socioeconomic health disparities using biomarker data. He has received the UKHLS Methods Fellowship and holds leadership roles in statistical societies. Research Interests: Survey Methodology Latent Variable Modeling Data Quality Enhancement Mixed Mode Design Digital Trace Data Integration Awards: UKHLS Methods Fellowship (2019) Vice Chair, Royal Statistical Society Social Statistics Committee (2019) Grants & Collaborations: Leads projects on crime data accuracy, longitudinal measurement equivalence, and biosocial survey methods. Collaborates with institutions like the London School of Economics and University College London on health inequality studies. Labs/Teams: Core member of the Cathie Marsh Institute's survey methodology team and leads the Longitudinal Data Analysis research group.
Brady Thomas West is a Research Professor at the University of Michigan with joint appointments in the Department of Biostatistics at the School of Public Health and the Survey Research Center at the Institute for Social Research. His work bridges survey methodology, applied statistics, and public health research, providing technical expertise globally on research design and statistical analysis. Education: PhD in Survey Methodology, University of Michigan-Ann Arbor, 2011 MA in Applied Statistics, University of Michigan-Ann Arbor, 2002 BS in Statistics, University of Michigan-Ann Arbor, 2001 West's research focuses on critical challenges in survey methodology including measurement error in auxiliary variables and survey paradata, selection bias in non-probability samples, responsive/adaptive survey design, interviewer effects, and multilevel regression models for complex clustered and longitudinal data. His work directly addresses data quality issues in public health and social science research. His publication record (2016-2022) demonstrates sustained contributions to methodological advancements through influential textbooks on linear mixed models and survey data analysis, alongside high-impact journal articles. Key themes include improving survey estimation techniques, developing frameworks for assessing analytic errors, and synthesizing evidence on interviewer effects. His research consistently bridges theoretical innovation with practical applications in aging studies, public health surveillance, and social epidemiology. Scientific Awards: No specific awards mentioned in the provided information. West actively leads and contributes to major funded research initiatives including the Health and Retirement Study (as Associate Director), the Network for Innovative Methods in Longitudinal Aging Studies (as MPI), and the MAPS Center for SUD/HIV research. He also develops educational resources through Coursera specializations in Statistics with Python and Total Data Quality, demonstrating commitment to training the next generation of data scientists. He collaborates extensively through the Survey Research Center and Department of Biostatistics, contributing to teams focused on longitudinal aging studies, public health data infrastructure, and methodological innovation. His leadership in the Health and Retirement Study and NIMLAS network positions him at the forefront of aging research methodology.
Dr. David Vivo Codina is a UNIVERSITY PROFESSOR at the University of Girona , affiliated with the Department of History and History of Art and working within the Laboratory of Archaeology, Ancient History and Prehistory . His research focuses on Roman archaeology, cultural heritage preservation, and historical studies in the Iberian Peninsula. Recent research highlights include: Analysis of Roman villa architecture and spatial organization (Collet and Pla de l’Horta sites) Digitization of built heritage with emphasis on paradata Studies of rural economies and territorial exploitation during Roman times Excavation campaigns documenting transformation of medieval to military spaces The genomic history of the Iberian Peninsula and material culture analysis (mosaics, dolia) feature prominently in his work. He has published extensively on Roman urbanism, architectural adaptations, and landscape archaeology across the Mediterranean region.
Johan Eklund is an academic affiliated with the Swedish School of Library and Information Science at the University of Borås, within the Faculty of Librarianship, Information, Education and IT. His work focuses on digital humanities, citation analysis, and digital heritage preservation. He co-developed the SOU Explorer platform, analyzing how research is cited in Swedish government reports, presented at the Huminfra Conference in 2024. Eklund also contributes to projects like MuseIT, exploring inclusive museum technologies for people with disabilities. His research emphasizes paradata in digitization processes and the ethical implications of digital preservation practices. Education: Completed doctoral studies on semantic analysis of Swedish texts using self-organizing maps. Grants: Funded by Huminfra (EU Horizon 2020) and the Swedish Research Council (VR). Key research interests include digital library systems, scholarly communication, and the intersection of technology with cultural heritage preservation. He advocates for transparency in digitization workflows and accessibility in museum technologies.
Lais Barbudo Carrasco is a Senior Lecturer in Archival and Information Science at Mid Sweden University's Department of Communication, Quality Technology and Information Systems (KKI). Her academic credentials include a 2019 PhD in Information Science and a 2024 Master's by Research in Media and Communication Science from MIUN. Bachelor's in Library and Information Science Master's in European Digital Media and Cultural Heritage Studies Her research focuses on digital representation , metadata , and cultural heritage with active participation in international initiatives like: Europeana Data Model (EDM) CIDOC CRM Interest Group International Council on Archives (ICA) RiC Model Current projects emphasize Indigenous data governance , exploring: CARE Principles (Collective Benefit, Authority to Control, Responsibility, Ethics) Local Contexts Labels for culturally appropriate data management Participatory approaches to Indigenous knowledge systems Parallel research examines AI ethics and algorithmic bias , addressing: Power dynamics in digital systems Justice-driven technological frameworks Human-centered information governance She applies social constructionist and DEI (Diversity, Equity, Inclusion) perspectives in: Strategic communication for cultural organizations Transformative meaning-making practices Digital preservation ethics
Dr. Jenny Bunn serves as an Honorary Lecturer in the Department of Information Studies at University College London, where she has been teaching since 2010. Her academic position builds upon extensive professional experience at major archival institutions including the V&A Museum, Royal Bank of Scotland Archives, Glasgow University Archives, and The National Archives. Dr. Bunn's educational background includes a PhD in Archive Studies (2011), MA in Archives and Records Management (1995), and BA from King's College Cambridge (1993), all obtained at prestigious UK institutions. Her research focuses on the critical intersection of archival science with emerging technologies, particularly examining how artificial intelligence transforms traditional archival practices. Her scholarly work reveals a strong trend toward examining AI applications in archival contexts, with numerous publications from 2022-2024 addressing topics like AI tools for digital cultural heritage, explainable AI in recordkeeping, and ethical considerations in automated archival appraisal. These works demonstrate her leadership in bridging traditional archival theory with contemporary technological challenges. Editorial role at Archives and Records: The Journal of the Archives and Records Association (2012-2019) Active member of both the Archives and Records Association and Information and Records Management Society As an educator, Dr. Bunn teaches core modules in UCL's Archives and Records Management program, including Concepts and Contexts, Curation and Stewardship, and Digital Curation. Her teaching directly reflects her research interests, preparing students for the evolving technological landscape of archival practice. Her professional activities demonstrate sustained engagement with both the theoretical and practical dimensions of archival science, maintaining connections between academic research and professional practice through her editorial work and professional society memberships.
Alexandria Rayburn is an Assistant Professor at the University of Hawaiʻi at Mānoa School of Communication and Information , specializing in the Library & Information Science program . Her research examines data practices in library, archive, and museum (LAM) collections through an intersectional feminist lens , focusing on sustainable systems, metadata harm, and the gendered undervaluation of data labor. Education : PhD and MSI from the University of Michigan School of Information; BA in Museum Studies from Michigan State University. Her scholarly work explores: Decolonization strategies in digital curation Paradata and provenance documentation Community-driven knowledge infrastructures Indigenous digital projects and ethical frameworks Historical gendered labor in museum computing Recent publications address systemic friction in data migrations, reparative metadata guidelines , and Indigenous-led digital assessment frameworks . Her research bridges library science and critical data studies , emphasizing social justice in technical systems. Scientific Awards : 2023 Best poster award at iConference 2024 Museum Studies Program Dissertation Fellowship Alexandria previously collaborated with the Great Lakes Research Alliance (GRASAC) on data migration projects and contributed to practitioner venues like the Digital Library Federation and Museum Computing Network .
Frauke Kreuter is an Affiliate Professor at the University of Maryland's INFO College. Her research focuses on data privacy, sociotechnical cybersecurity, and the integration of artificial intelligence with survey methodology. She leads the Global Privacy Monitor (GMP) project, exploring privacy stakeholder dynamics. Her work bridges survey science, machine learning, and ethical data practices. Key research areas include causal reasoning in algorithms, differential privacy in surveys, and leveraging paradata from physiological measurements. She has pioneered methods to enhance survey design through NLP and AI, addressing challenges like cognitive burden and bias in automated systems. Her articles highlight interdisciplinary approaches, such as analyzing algorithmic fairness, privacy norms in social media, and the impact of training data collection methods on model performance. Kreuter’s contributions span technical advancements in survey tools and ethical considerations in automated decision-making. Notable projects include the GMP initiative and studies on health data sharing, GDPR effects, and pandemic-related behavioral insights. She advocates for methodological innovation to address modern challenges in data-driven decision-making and public policy.
Sharan Sharma, Ph.D., is an Assistant Research Professor at the University of Maryland, with appointments in the Department of Sociology and the Joint Program in Survey Methodology. His work focuses on cross-cultural survey methodology, interviewer effects, and paradata analysis. He leads the India Human Development Survey (IHDS3), examining migrant remittance discrepancies and survey falsification. Previously, he served as Senior Vice President at TAM India, managing large-scale surveys and organizational development. Education: Ph.D. in Survey Methodology (University of Michigan, 2018); M.A. in Applied Statistics (University of Michigan, 2006); M.M.S. in Management Studies (Bombay University, 1999); B.S. in Physics (Bombay University, 1997). Affiliations: MPRC, Sociology Department, Joint Program in Survey Methodology. Dr. Sharma’s research bridges methodological rigor and practical applications, particularly in developing countries. His projects emphasize improving data accuracy through innovative approaches like paradata monitoring and reducing discrepancies in migrant surveys. He collaborates extensively with global institutions to enhance survey implementation frameworks. His recent publications explore interviewer gatekeeping in India, birth history omissions, and fraud detection in audience measurement. He advocates for methodological transparency to address systemic biases in demographic research.
Wout Dillen is a Senior Lecturer in Library and Information Science at the University of Borås, specializing in Knowledge Organization and Digital Environments. He holds a PhD in Literature from the University of Antwerp (2015) and completed an Experienced Researcher fellowship in the DiXiT project (2016–2017). His research focuses on digital scholarly editing, digitization processes, paradata, and sustainable research infrastructures. He is affiliated with the Swedish School of Library and Information Science under the Faculty of Librarianship, Information, Education and IT. Research interests include critical digitization, digital preservation, web accessibility, and tool criticism. He has contributed to projects analyzing digitization practices in European libraries and advocating for open licenses and minimal computing approaches. His work bridges literature, linguistics, and LIS, emphasizing interdisciplinary collaboration. Academic service roles include Board membership of the European Society for Textual Scholarship (ESTS) since 2015, Secretary since 2017, and editorial roles in journals such as Variants and Information Research .
Marta Tienda is the Maurice P. During Professor in Demographic Studies and Professor of Sociology and Public Affairs at Princeton University's Princeton School of Public and International Affairs. She holds joint affiliations with the Office of Population Research and previously served as its director from 1997 to 2002. An accomplished scholar, Tienda has authored or co-authored numerous books including The Hispanic Population of the United States and Multiple Origins, Uncertain Destinies , and has published over 200 scholarly papers. Tienda earned her BA in Spanish from Michigan State University and both MA and Ph.D. in Sociology from the University of Texas at Austin. Her academic excellence has been recognized with honorary doctorates from The Ohio State University (2002), Lehman College (2003), Bank Street College (2006), and Michigan State University (pending conferral). Her research specializes in race and ethnic disparities across multiple dimensions of social inequality—including poverty, education, employment, and immigration—examining how ascribed attributes shape socioeconomic outcomes. Current work focuses intensively on adolescent romantic relationships using longitudinal methodologies. Research domains include: Demographic analysis of immigration patterns and population diversification Structural determinants of concentrated poverty and opportunity barriers Life course trajectories affecting socioeconomic mobility Quantitative assessment of relationship dynamics among youth Analysis of her 15 most recent publications (2017-2024) reveals strong thematic focus on adolescent development, immigrant integration, and demographic methodology. Her work increasingly employs digital tools like mobile diary studies to examine partnership dynamics and emotional health. Cross-national comparative frameworks appear in health disparity research, while U.S.-centric studies emphasize Hispanic populations and educational outcomes. Honors and scientific recognition include: Honorary Doctorate, Ohio State University (2002) Honorary Doctorate, Lehman College (2003) Honorary Doctorate, Bank Street College (2006) Honorary Doctorate, Michigan State University (pending) As former director of Princeton's Office of Population Research, Tienda led institutional initiatives in demographic scholarship. While specific grants and lab affiliations aren't detailed in source materials, her extensive publication record and named professorship reflect sustained research leadership. No student advising relationships were identified in available documentation.
Renata Słota is a Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, where she serves as Vice-Dean of the Faculty of Development. Her office is located at D-17, ul. Kawiory 21, room II, 3.34, with contact details including phone +48 12 328 33 35 and email rena@agh.edu.pl. She also contributes to academic governance as a member of the Disciplinary Council for Technical Information Technology and Telecommunications. Her research centers on distributed data management and cloud computing , with pioneering work in digital cultural heritage systems , blockchain-based decentralized authority , and scientific workflow automation . Notable contributions include integrated frameworks for 3D Cultural Heritage objects management, consensus mechanisms for collaborative data sharing, and multi-cloud data access solutions. Her work bridges theoretical advances with practical applications in cultural preservation and scientific computing. Analysis of her 2020-2026 publications reveals dominant trends in decentralized data governance , cultural heritage digitization , and hybrid cloud workflow management . Key themes include blockchain applications for organizational structures, semantic interoperability for quality-oriented data access, and reproducibility frameworks for computational experiments. Her research consistently addresses real-world challenges in global data accessibility and fault tolerance. Professor Słota actively participates in major research initiatives including the Onedata project for global data federation and the Scalarm platform for distributed parameter studies, demonstrating leadership in data-intensive computing environments and collaborative infrastructure development.
