When and where?

Date: Wednesday, 13 May 2026

Time: 09:00–16:45

Location: TU Wien Bibliothek, Resselgasse 4, 5th floor, lecture hall

Language: German, English

Registration

Programme

09:00-09:30 | Welcome coffee

09:30-09:45 | Opening by library director Beate Guba and programme overview by moderator Philipp Steger

09:45-10:30 | Keynote: “From secrets and data chaos to open science — our (open‑ended) quest to publish data meaningfully” - Katharina Ehrmann (Faculty of Technical Chemistry)

10:30-12:00 | Session I: Citizen science – Good practices and challenges

  • Research meets activism: The case of ‚Wir machen Wien‘ and citizen initiatives for sustainable public space - Barbara Laa (Faculty of Civil and Environmental Engineering)
  • Mikroklimatische Freiraumuntersuchungen und co-kreative Entwicklung von Maßnahmen zur Steigerung der Klimaresilienz österreichischer Schulen - Erich Streit (Faculty of Civil and Environmental Engineering)
  • Images are more than points on a map: Enhancing citizen science with photogrammetry - Sebastian Mikolka-Flöry (Faculty of Mathematics and Geoinformation)

12:00-12:15 | Pitch session: Services for open science @ TU Wien

  • Open access publishing, journal hosting, recognising predatory publishing, ORCID service, ReposiTUm, TU Wien Academic Press, Davis as an open infrastructure, TU Wien research data repository, research data management, IP4OS 

12:15-13:00 | Lunch & Networking

13:00-14:15 | Session II: Open science in action - Two parallel workshops

  • Workshop A: Janeway - Run your own journal or proceedings - David Krassnig and Tanja North
  • Workshop B: How can open science, intellectual property strategies, and AI serve to better increase the impact of your research? - Sarah Krassnig und Christoph Hornung (IP4OS)

14:15–14:30 | Coffee break

14:30–16:30 | Session III: EOSC - Shaping science between policy and industry

  • EOSC, EOSC nodes and service: What are they and how might they impact (help) us when doing our research? - Andreas Rauber (Faculty of Informatics)
  • Open science, open source, open society - Peter Purgathofer (Faculty of Informatics)
  • From research to community: Ergo4All, an open-source AI app for ergonomics prevention - David Kostolani (Faculty of Mechanical and Industrial Engineering)
  • How open is open? Data practices in human-centered mobility research - Negar Alinaghi (Faculty of Mathematics and Geoinformation)

16:30 | Closing remarks

Speakers and abstracts

Keynote

Katharina Ehrmann: From secrets and data chaos to open science - our (open‑ended) quest to publish data meaningfully 

Abstract

Researchers often find themselves navigating between raw, heterogeneous data and the intuitive knowledge that gives those data meaning. This talk shares a pragmatic journey from “secrets and data chaos” toward open, reusable research outputs, drawing on experiences from research support and real-world projects. We will examine our experiences why sharing data in a meaningful way can be difficult—giving honest insights on considerations around sensitivity and confidentiality, fragmented workflows, legacy formats, missing metadata, and tacit know-how—and how we have started to tackle these hurdles and transform them into drivers of quality and openness.

The session outlines a lightweight, scalable approach to meaningful data publication grounded in the FAIR principles: defining scope early with data management plans; capturing context through README files, codebooks, and domain standards; ensuring provenance with versioning and workflow documentation; linking data, code, and methods via persistent identifiers; and choosing licenses and repositories that balance openness with compliance. We will discuss handling sensitive or proprietary components (tiered releases, anonymization, and synthetic data), and how small process changes—automated validation, templated metadata, notebooks—produce outsized gains in trust and reusability.

Rather than a one-time “release,” I aim to give a perspective on open science as an iterative, community-engaged practice: publishing what is possible now, inviting feedback, and improving over time. Attendees will leave with concrete patterns and decision points to move their own datasets from private collections to interoperable, citable, and genuinely useful research assets.

Short bio

Katharina Ehrmann is an Assistant Professor of Macromolecular Chemistry at TU Wien and head of the Additive Manufacturing Lab. Her research advances photopolymer chemistry for next‑generation 3D printing, including wavelength‑orthogonal networks, multi‑material and multi‑temperature printing, and tough or degradable materials. She has authored 40+ papers in leading journals and holds three patents. Honors include an Elise Richter Fellowship, FWF 1000 Ideen grant, TU Wien’s Dr. Ernst‑Fehrer Prize, and a Chemistry Europe Travel Grant. She serves as Associate Editor of ACS Macro Letters, is an ACS PMSE Member‑at‑Large and aims to facilitate equality within her profession and generate value through her science in and beyond the scientific community, through active contributions in several networks (e.g. International Younger Chemists Network (IUPAC), Young Investigator Academy (TCH, TUW), FemChem (TCH, TUW)) and to open science.

Session I: Citizen science - Good practices and challenges

Barbara Laa: Research meets activism - The case of ‚Wir machen Wien‘ and citizen initiatives for sustainable public space 

Abstract

Transport policy is shaped not only by public institutions but also by grassroots initiatives, activists, and citizen-led groups. The “Wir machen Wien” project explores this dynamic by bringing researchers and local initiatives together to co-create a map and database of such actors, informed and supported through scientific collaboration. This presentation provides insights into the opportunities and challenges of this approach and reflects on the role of applied research in engaging with civil society. It raises critical questions about how — and to what extent — researchers and activists can and should collaborate in shaping more sustainable public spaces.

Short bio

Barbara Laa is a researcher at the Research Unit of Transport Planning and Traffic Engineering at TU Wien. Her work focuses on advancing sustainable mobility and shaping transport policy. This includes research on the role of bottom-up initiatives in driving change. Through projects such as Wir machen Wien, she collaborates with these initiatives to better understand and support their contribution to more sustainable and livable public spaces.

Erich Streit: Mikroklimatische Freiraumuntersuchungen und co-kreative Entwicklung von Maßnahmen zur Steigerung der Klimaresilienz österreichischer Schulen

Abstract

The “Climate Ready Schools” project examines how schools in Austria can better cope with the effects of climate change (e.g., rising temperatures). The goal is to make schools more climate-resilient, meaning better adapted to future climate conditions.

To achieve this, scientists are working together with students and teachers (citizen science). They analyze the extent to which schools are already affected and develop and test concrete measures—such as greening or shading.

The result is a set of recommendations for action, practical solutions, and a “Climate Readiness Check” that schools can use to assess their own climate resilience.

Short bio

Erich Streit has been working as a research assistant in the Ecological Building Technologies research group since 2020, focusing primarily on building greening (hygrothermal effects, impacts on air quality, integration with PV) and ecological materials. 

Sebastian Mikolka-Flöry: Images are more than points on a map - Enhancing citizen science with photogrammetry 

Abstract

Capturing images with smartphones is among the most prominent and easy ways to engage citizens in citizen science projects. But apart from being displayed as markers on a map, they are seldom used to interact with citizens. With photogrammetry, not only a wide range of possibilities for analyzing human use of space and observing natural processes become available, but especially for engaging citizens and communicating information.

Short bio

Sebastian Mikolka-Flöry studied Geodesy at TU Wien, where he is currently a project assistant at the research unit Photogrammetry. His research at TU Wien focusses on the processing of unstructured historical oblique image collections and the integration of high-resolution topographic data with satellite based earth observation to improve the countrywide monitoring and prediction of vegetation dynamics.

Session II: Open Science in Action - Two parallel workshops

Workshop 1 (David Krassnig and Tanja North): Janeway - Run your own journal or proceedings

Abstract

Thinking about running your own journal or curious about what happens behind the scenes of editorial publishing? In this hands-on workshop, participants will step into the roles of editor and reviewer and explore how the peer review and publication process works in Janeway, the open-source journal publishing platform used by TU Wien.

Using a test journal, participants will try out key steps of the workflow themselves and gain practical insight into how submissions are reviewed, managed, and moved through the editorial process.

Short bios

David Krassnig is a librarian at TU Wien Bibliothek, focusing on open access and publication services. He holds a master’s in library and information science, a state assessor qualification for library services, and a PhD in linguistics. He previously worked in digital humanities at the University Library Johann Christian Senckenberg.

Tanja North completed at the course Library and Information Studies at the University of Vienna in 2019 and has since been working in the Publication Services team at TU Wien Bibliothek.

Workshop 2 (Sarah Krassnig and Christoph Hornung /IP4OS): How can open science, intellectual property strategies, and AI serve to better increase the impact of your research? 

Abstract

This interactive workshop invites researchers to bring in ideas, challenges, or use cases from their own research and explore them in a collaborative setting. The session offers space to reflect on how innovative concepts can be strengthened through AI-enabled approaches, Open Science practices, and Intellectual Property considerations (e.g. patents and licenses).

Participants will be invited to present and discuss their ideas and receive feedback from a multidisciplinary team consisting of colleagues from the Innovation Incubation Center, Center for Research Data Management, Research Unit of Data Science, Publication Services, Data Protection and Document Management, Service Group for R&D Contracts and Procurements, Service Group for Funding Support - Applied Research and Industry, Service Group for Patent and License Management, and the Service Unit of Center for Technology and Society

Short bios

Christoph Hornung works at TU Wien Bibliothek as Head of Publication Services. He holds a PhD in Hispanic studies and has conducted Open Access projects in different disciplines and has contributed to platforms in the publishing context such as open-access.network and iRights.info.

Sarah C. Krassnig works as a librarian in the Publication Services department at TU Wien Bibliothek, where she focuses on open access. She holds a PhD in Molecular Toxicology and brings professional experience from industry, where she previously worked as a project manager.

Session III: EOSC - Shaping science between policy and industry

Andreas Rauber: EOSC, EOSC nodes and services: What are they and how might they impact (help) us when doing our research?

Abstract

The EOSC has been in discussion and development for a long time and is receiving increased attention with the current flurry of activities surrounding the emergence of EOSC nodes. This is often juxtaposed against criticism that after years of activity the whole EOSC still is not there, but in a continuous state of emergence (at least not emergency).

In this presentation I will try to reflect on what I think we have gained so far from all the EOSC activities, what the EOSC nodes are turning out to be, and what benefits we may expect as researchers from the services offered by EOSC nodes. We can subsequently also discuss the potential role of an emerging Austrian national EOSC node, its role and the contributions we may want to make to the global scientific community.

Short bio

Andreas Rauber is Professor at the Data Science Research Unit (DS-IFS) at the Department of Information Systems Engineering (ISE) at Technische Universität Wien (TU Wien) and Head of the Austrian Scientific Computing Research Center (ASC). He furthermore is president of AARIT, the Austrian Association for Research in IT and a Key Researcher at Secure Business Austria (SBA-Research. He received his PhD in Computer Science from TU Wien in 2000. In 2001 he joined the National Research Council of Italy (CNR) in Pisa as an ERCIM Research Fellow, followed by an ERCIM Research position at the French National Institute for Research in Computer Science and Control (INRIA), at Rocquencourt, France, in 2002. From 2004-2008 he was also head of the iSpaces research group at the eCommerce Competence Center (ec3).

His research interests cover the broad scope of data science, ranging from data management, via reproducibility and transparency aspects in data analytics processes, their realization in virtual research environments and high-performance compute infrastructures, to aspects of explainability and accountability in machine learning models, with the goal of enabling trust and accountability in research.

Peter Purgathofer: Open science, open source, open society 

Abstract

The emergence of the core ideas of what we now call “science” was closely linked to the principles of open and critical discourse. In the modern university system, it has become very difficult to uphold these ideals. Funding constraints, the demands of the publication process, and the practical limits of open discourse have led us to a scientific practice that is far removed from these ideals. The sudden availability of text-generating AI systems reduces this practice to absurdity, and we are left standing amid the ruins of the mechanisms intended to guarantee scientific integrity. 

Short bio

Peter Purgathofer is a researcher and university lecturer in the Human-Computer Interaction research group at TU Wien. His work is characterized by interdisciplinarity and pragmatism. He has made a name for himself as an artist (Prix Ars Electronica), lecturer (State Prize for Excellence in Teaching), and designer (numerous UX design projects for major clients). A key recurring theme in his work is the identification of the intellectual and methodological framework of computer science. 

David Kostolani: Ergo4All, an open-source* AI app for ergonomics prevention 

Abstract

Awkward postures and industrial tasks such as heavy lifting are contributory factors in the development of work-related musculoskeletal disorders. While ergonomics is widely recognised as a means to improve working conditions, research on ergonomic methods and AI systems often prioritizes the needs of researchers and analysts. This creates an accessibility gap and a mismatch between prevention goals and the impact of technology research.

 The research project Ergo4A addresses the gap between university research and accessible technology artifacts aimed at the general public. The project produced an AI app for postural assessment that is freely available in app repositories, with its code open-sourced*. This talk discusses tensions in translating technology research into tools that meaningfully serve people, while highlighting opportunities that emerge from such initiatives aligned with the motto "technology for people".

Short bio 

David Kostolani is a researcher in the Human-Machine Interaction research group at TU Wien. Guided by the principle of technology augmented work, he conducts transdisciplinary research on AI-based assistive technologies for manual and industrial work, integrating human-centred AI with socio-psychological aspects of Human-Machine Interaction. David has led multiple projects, including the research project Ergo4A, which focused on increasing awareness of workplace ergonomics through a freely accessible AI app.

Negar Alinaghi: How open is open? Data practices in human-centered mobility research

Abstract

The XMO Lab at the Geoinformation Research Unit at TU Wien builds its research on a strong commitment to open science, with open data forming the foundation of many of our projects. We extensively rely on openly available resources such as OpenStreetMap and governmental open data to study mobility behavior, urban development, and human-environment interaction. These data sources enable reproducibility, transparency, and scalability across diverse urban contexts.

At the same time, a significant part of our work involves collecting human-subject data, including eye-tracking, motion, and behavioral observations in real-world and experimental settings. While we aim to make these datasets as accessible as possible, ethical and privacy considerations impose important limitations. We apply anonymization and data minimization strategies; however, certain data types cannot be fully shared without risking re-identification or violating consent agreements.

In this talk, we reflect on our current open science practices, including data sharing, reproducible workflows, and methodological transparency. We also critically discuss the boundaries of openness in human-centered research, highlighting the trade-offs between scientific transparency and ethical responsibility. Our goal is to contribute to a better understanding of what “open” can and should mean in data-intensive mobility research.

Short bio

Negar Alinaghi is postdoc and lead researcher at the XMO Lab at the Geoinformation Research Unit, TU Wien, working at the intersection of spatial cognition, mobility behavior, and GeoAI. Her research focuses on understanding mobility behavior in urban areas and how humans make decisions in complex environments, using multimodal data such as eye-tracking, motion sensing, and geospatial data. She has extensive experience in designing and conducting human-subject studies and developing computational frameworks for analyzing behavioral patterns in mobility and wayfinding. Her current work aims to bridge human behavioral insights with AI-based modeling approaches to better understand and simulate mobility systems.