Latest News & Progress

Welcome Aboard, Nicolas!

In a significant boost to our innovative endeavors, our research project team is excited to announce the arrival of Nicolas Gutehrlé, who joins us as a Research Engineer. Bringing a wealth of knowledge and a proven track record of engineering excellence, Nico is set to play a pivotal role in advancing our research goals. We're thrilled to have Nico on board, not just for his technical skills, but also for the fresh perspective and collaborative spirit he brings to our team.

Let's extend a warm welcome to Nico!

Stay tuned for the exciting developments we're sure to achieve with Nico as part of our team.

Welcome to Our Team, Marine and Maya!

As we continue to expand and embark on more ambitious project, our team is thrilled to welcome two new faces who will be joining us as interns. Please give a warm welcome to Marine Potier and Maya Mathie, two incredibly talented and enthusiastic individuals who are set to make significant contributions to our endeavors.

Together, Marine and Maya will be working on various aspects of the project, offering fresh insights and helping us achieve new milestones. Their roles as interns are crucial, providing them with hands-on experience while significantly contributing to our project's success.

We believe that the fresh perspectives and innovative ideas that Marine and Maya bring will be a huge asset to our team. We're excited to see how their contributions will shape our projects and help us achieve our goals.

Join us in warmly welcoming Marine POTIER and Maya MATHIE to our project team. We look forward to a fruitful collaboration and the remarkable achievements we will accomplish together.

Welcome aboard, Marine and Maya!

Unleashing the Power of UnScientify: Detecting Uncertainty in Scientific Text - Join Us at EEKE-AII 2023 Workshop!

We are delighted to announce our team's participation in the esteemed EEKE-AII 2023 Workshop, where we will present our groundbreaking demo app called UnScientify. This interactive system revolutionizes scientific text analysis by detecting uncertainty at the sentence level. With a fine-grained annotation scheme and an automated pipeline combining pattern matching and authorial reference checking, UnScientify offers interpretability and facilitates information retrieval, text mining, and scholarly document processing. Join us at the workshop on June 26–27, 2023, as we unveil UnScientify's potential to advance scientific comprehension.

Together, Marine and Maya will be working on various aspects of the project, offering fresh insights and helping us achieve new milestones. Their roles as interns are crucial, providing them with hands-on experience while significantly contributing to our project's success.

We warmly welcome Marine and Maya to our team and look forward to a journey filled with learning, growth, and remarkable achievements. Let's make great things happen together!

InSciM Progress Report Meeting 2023

It is with great anticipation that the forthcoming virtual progress report meeting with the esteemed members of the Project Advisory Board is announced. Scheduled for the 19th of June, 2023, this assembly represents the second occasion on which the latest advancements and milestones achieved within the research project will be presented for discussion.

To facilitate effective discussions, we encourage all board members to download the presentation slides from the provided link: Presentation 1, Presentation 2. These slides offer a comprehensive overview of our progress, key findings, and future directions. We value the expertise and guidance our board members bring to the table, and their input is crucial in shaping the trajectory of our research. We sincerely appreciate their continued support and look forward to a productive and insightful session.

For any inquiries or assistance regarding the progress report meeting, please contact our project team. Thank you for your ongoing commitment, and we eagerly anticipate this valuable opportunity to engage with our distinguished Project Advisory Board members.

Research Visit & Collaboration with GESIS

We are excited to provide an update on the progress of InSciM project. Over the past three months, our PhD student, Panggih Kusuma Ningrum, had the invaluable opportunity to participate in a research visit program at GESIS – Leibniz-Institute for the Social Sciences in Germany. Under the guidance of Dr. Philipp Mayer, the esteemed team leader of the Information & Data Retrieval division at the GESIS department Knowledge Technologies for the Social Sciences (WTS), our collaboration focused on employing natural language processing (NLP), text mining, and analysis techniques to examine scientific uncertainty in the empirical social science domain.

During the program, we achieved significant milestones. Firstly, we successfully curated and annotated a comprehensive dataset in the field of empirical social science, providing a valuable resource for future studies in this area. Additionally, we developed the UnScientify app, a demonstrative interactive system designed to detect and analyze scientific uncertainty in scholarly full-text articles. This tool not only showcases our progress but also has the potential to aid researchers in understanding and addressing uncertainty in scientific literature.

Furthermore, we are delighted to announce that the research paper from this collaboration has been accepted for presentation at the Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023), which will be held as part of the ACM/IEEE Joint Conference on Digital Libraries 2023 in Santa Fe, New Mexico, USA, from June 26 to 30, 2023. This recognition not only validates the significance of our work but also provides an excellent platform to share our findings with the broader scientific community.

We extend our gratitude to Dr. Philipp Mayer and the team at GESIS for their invaluable support and collaboration. We are confident that our research project will contribute to advancing the understanding of scientific uncertainty and its implications in the empirical social science field.

Breaking News: Join Us at ISSI 2023 to Explore our Latest Research Findings!

We are thrilled to announce that our research paper entitled "Investigating Uncertainty in Scholarly Articles: An Interdisciplinary Annotation Framework" has been accepted for presentation at the esteemed 19th International Conference of the International Society for Scientometrics and Informetrics (ISSI 2023) in Bloomington, Indiana, US. In this paper, we delve into the expression of uncertainty in academic articles and propose a novel interdisciplinary annotation framework that encompasses five dimensions for categorizing uncertain sentences. Through the analysis of a diverse corpus from various disciplines, we conduct experiments on two distinct sets of sentences: one obtained via uncertainty cue mapping and another through manual annotation of randomly selected articles. Our findings unveil the distribution of uncertainty types across journals and categories, while also highlighting the potential for automation in certain aspects of the annotation process. We are honored to share our research with the scholarly community at ISSI 2023 and look forward to engaging in insightful discussions on this crucial topic.

Team