Author: ruipereira

In this workshop, benefiting from insights from TU Berlin, DTU, and IST-ID, participants will explore institutional strategies for ERC and MSCA applications, learn from successful case studies, and discuss approaches to fostering collaborative projects, including Pathfinder initiatives. Interactive discussions will allow for the exchange of experiences and practical advice, ensuring attendees leave with actionable takeaways to enhance their institutions' support structures.

The DIG4BIO project is pleased to announce the successful conclusion of its recent series of virtual workshops, held from March 17 to 19, 2025, focused on Data Management, Open Science, and Digital Lab Tools. Over the course of three days, participants from across Europe joined these interactive sessions designed to empower researchers, data professionals, and lab managers with practical knowledge and tools to support the digital transformation of scientific research. The workshops covered: ✅ Best practices in research data management – ensuring efficient, secure, and reliable research workflows. ✅ FAIR principles and open science strategies – enhancing transparency, reproducibility, and […]

We are pleased to announce two upcoming hybrid Training Schools as part of the DIG4BIO project, aimed at providing researchers and professionals with practical knowledge and hands-on experience in bioprocess modeling and digital learning tools. These training sessions offer an opportunity to learn from experts, explore advanced modeling techniques, and enhance skills in bioprocess engineering. Mechanistic Modelling in Bioprocess Engineering: From Theory to Application Date: 31st March – 3rd April 2025 Format: Hybrid event This four-day training school will introduce participants to mechanistic modelling for microbial cultivations. The course covers the fundamentals of biological reaction rate models, guiding participants through […]

In this 4-day training school, attendees will explore and learn about the intricacies of mechanistic modelling for microbial cultivations. The course will cover the principles of describing microbial cultivations using biological reaction rate models, including selecting an initial model structure and determining model parameter values using example datasets. Through case studies and hands-on exercises, participants will gain a deeper understanding of these concepts and improve their ability to predict and optimize microbial cultivation processes for real-world applications in their research.

Advance use of BioVL and e-learning tools4 April 2025 – (CET Time) Hybrid event OBJECTIVES This workshop offers participants a comprehensive understanding and hands-on experience with a virtual laboratory developed at the Technical University of Denmark, BioVL. Attendees will learn how to access and leverage the e-learning platform for bioprocess modeling, along with methods for model simulation. Through practical exercises, participants will learn about different bioprocess models and how to assess the performance of a simulation model based on the set initial parameters. Moreover, they will have the possibility to ask any question to a tailored chatbot, to clarify any […]

The European Political Context Training School, held on February 20-21, 2025, brought together Research Managers and Administrators (RMAs) from across Europe for two days of in-depth discussions on EU policies, research funding landscapes, and strategic networking. The event provided valuable insights to help RMAs better support researchers in navigating European Work Programmes and policy frameworks. Key Highlights Throughout the training school, participants explored critical topics, including: Expert ContributionsWe were honored to have lecturers from DTU, IST-ID, and TU Berlin sharing their expertise: Acknowledgments We extend our sincere gratitude to all participants for their engagement, insightful contributions, and active discussions. Your […]

The DIG4BIO project is pleased to announce a series of three virtual workshops focused on data management, open science, and digital lab tools. These events provide a unique opportunity for researchers, data scientists, research managers and lab professionals to deepen their knowledge and gain hands-on experience in key topics driving the digital transformation of research. Upcoming Workshops: Data Management – March 17, 2025 Gain insights into best practices for data collection, storage, and integrity maintenance to ensure efficient and reliable research workflows. Learn more: https://dig4bio.eu/data-management/ Research Data Management & Open Science – March 18, 2025 Explore FAIR principles, data reproducibility, […]

Virtual event OBJECTIVES In this online workshop, the attendees will learn the importance of Electronic Lab Notebooks to build a paperless experimental environment, as well as the use of Laboratory Information Management Systems in modern laboratories. The workshop will provide outlooks on digitalized laboratories. COURSE LECTURERS PROGRAM Electronic Lab Notebooks & Laboratory Information Management SystemsMarch 19, 2025 – (CET Time) 10:00 Opening remarks10:10 Introduction – What are ELNs / LIMS: open source and fee-based systems11:00 Coffee break11:15 Choosing the right system – Features to look for when deciding on an ELN12:00 Exercise – Definition of criteria in your own lab13.00 […]

Virtual event OBJECTIVES This workshop introduces tools that support data reproducibility and transfer, emphasizing FAIR principles (findable, accessible, interoperable, and reusable) for data and processes. It also covers the use of semantic process modelling. COURSE LECTURERS PROGRAM Research Data Management & Open ScienceMarch 18, 2025 – (CET Time) 10:00 Welcome & Introduction10:15 FAIR Principles in Research Data Management11:15 Tools for Data Reproducibility & Transfer12:00 Lunch13:30 Best Practices for Open Access & Data Sharing14:30 Introduction to Semantic Process Modelling15:15 Coffee break15:30 Case Study, Group Activity and Q&A

OBJECTIVES This workshop offers participants a comprehensive understanding of data management principles and best practices. Attendees will learn strategies for effective data collection, storage, and integrity maintenance, along with tools and techniques for organized data retrieval and backup. Through case study and group activity, the participants will gain hands-on experience to implement data management systems tailored to their fields. COURSE LECTURERS PROGRAM Data ManagementMarch 17, 2025 – (CET Time) 10:00 Welcome & Introduction10:15 Fundamentals of Data Management11:15 Data Collection & Storage Strategies12:00 Lunch13:30 Tools for Data Management14:15 Coffee break14:30 Compliance & Ethical Considerations15:00 Case Study, Group Activity and Q&A