Tatiana Losev

ORCID: 0000-0002-0363-8072
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About
Contact & Profiles
Research Areas
  • Data Visualization and Analytics
  • Online Learning and Analytics
  • Innovative Human-Technology Interaction
  • Museums and Cultural Heritage
  • Data Analysis with R
  • 3D Surveying and Cultural Heritage
  • Participatory Visual Research Methods
  • Cultural Heritage Management and Preservation
  • Design Education and Practice
  • Conservation Techniques and Studies
  • Video Analysis and Summarization
  • Green IT and Sustainability
  • Qualitative Research Methods and Ethics
  • Interactive and Immersive Displays
  • Species Distribution and Climate Change
  • Data Analysis and Archiving
  • Multimedia Communication and Technology

Simon Fraser University
2020-2025

Northeastern University
2022

This paper is a call to action for research and discussion on data visualization education. As evolves spreads through our professional personal lives, we need understand how support empower broad diverse community of learners in visualization. Data Visualization dynamic discipline that combines knowledge from different fields, tailored suit audiences contexts, frequently incorporates tacit knowledge. complex nature leads series interrelated challenges Driven by lack consolidated knowledge,...

10.1109/tvcg.2023.3327378 article EN IEEE Transactions on Visualization and Computer Graphics 2023-01-01

Data physicalizations have gained prominence across domains, but their environmental impact has been largely overlooked. This work addresses this gap by investigating the interplay between sustainability and physicalization practices. We conducted interviews with experts from diverse backgrounds, followed a survey to gather insights into how they approach projects reflect on sustainability. Our thematic analysis revealed considerations throughout entire life cycle—a framework that...

10.1145/3613904.3642248 preprint EN 2024-05-11

We reflect on our experiences as designers of COVID-19 data visualizations working in a distributed synchronous design space during the pandemic. This is especially relevant pandemic posed new challenges to collaboration amidst civic lockdown measures and an increased dependency spatially teamwork across almost all sectors. Working from home being 'the normal', we explored potential solutions for collaborating prototyping remotely own homes using existing tools at disposal. Since members...

10.1109/beliv51497.2020.00008 preprint EN 2020-10-01

This paper is a call to action for research and discussion on data visualization education. As evolves spreads through our professional personal lives, we need understand how support empower broad diverse community of learners in visualization. Data Visualization dynamic discipline that combines knowledge from different fields, tailored suit audiences contexts, frequently incorporates tacit knowledge. complex nature leads series interrelated challenges Driven by lack consolidated knowledge,...

10.48550/arxiv.2308.07703 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Visualization is inherently diverse and employed in countless domains to enable meaningful interactions with data. There tremendous opportunity embracing disciplinary diversity widen the pool of contributions visualization design, research, practice. We describe a few examples approaches: scientific method, design studies, tool building, participatory co-design communities, data storytelling, autographic design. discuss opening aperture, pushing back on what we, as community, deem acceptable...

10.1109/mcg.2022.3209605 article EN IEEE Computer Graphics and Applications 2022-11-01

Visualization is inherently diverse and employed in countless domains to enable meaningful interactions with data. There tremendous opportunity embracing disciplinary diversity widen the pool of contributions visualization design, research, practice. We describe a few examples approaches: scientific method, design studies, tool building, participatory research co communities, data storytelling, autographic design. discuss opening aperture, pushing back on what we, as community, deem...

10.31219/osf.io/kdws9 preprint EN 2022-09-23
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