Tag: LLMs

Our book is published!

FONDA members, along with over 100 co-authors from 54 organizations in 17 countries, are proud to present Workflow Systems for Large-Scale Scientific Data Analysis!

The book’s 25 chapters are divided into four main areas (1) Introduction, (2) Systems, (3) Applications, and (4) Technologies, and cover the current state of the art in workflow research for scientific data analysis. The book is open access, and digital copies can be downloaded for free. Hard copies can also be ordered (at the same link) for € 42 each.

Book Cover for Workflow systems for large scale scientific data analysis

We would especially like to thank the editors of the book, Rafael Ferreira da Silva, Sean Wilkinson, Marcus Hilbrich, and Ulf Leser. Funding for the first edition, along with much of the underlying research was provided by the German Research Foundation (DFG). The book is published by Berlin Universities Publishing. Finally, thanks to all the co-authors for their contributions and ongoing support!

Links to the individual chapters along with a comprehensive author list for each will be added to the website shortly.

Tutorial on Human-Computer Interaction with Thomas Weber

On June 12th from 10:00 -13:00 we will have a Tutorial on Human-Computer Interaction with Thomas Weber from LMU Munich. The event will be in the Humboldt-Kabinett. Everyone is invited to attend!

The abstract and bio Dr. Weber provided for the event can be found below.

Abstract:

Artificial Intelligence, especially Large Language Models, have proven
highly successful in many domains, including software development. New AI-powered tools not only increase the productivity of professional and novice software developers alike, they also enable completely new, highly flexible ways to interact with software. In this workshop, we will have a hands-on exploration of these capabilities and how they can enable and enhance rich and flexible interaction. However, integrating AI into interactive systems is not without challenges. Thus, we will also discuss how to design and evaluate AI-powered interactive systems to make sure they are both usable and useful.

Bio:

Thomas Weber is a post-doctoral research at LMU Munich. In his research, he investigates how AI-powered systems affect the lives and behavior of software developers from two perspectives: first, considering the rapid pace at which new and improved AI-powered tools emerge, how can developers use these tools productively to create high-quality software? However, software developers not only use AI but are also the ones building and shaping it. Thus secondly, how do requirements differ for building AI systems compared to traditional systems and how does this affect the behavior of developers.

To answer these questions, he combines methods from both software engineering research and human-computer interaction.