AI Colloquium with Dr. Tim Alamenciak
We are delighted to welcome Dr. Tim Alenciak as a speaker of our AI Colloquium, featuring a keynote titled “Accelerating biodiversity restoration and conservation with AI-driven evidence synthesis”.
The AI Colloquium, organized by the Lamarr Institute, the Research Center Trustworthy Data Science and Security (RC Trust) and the Center for Data Science & Simulation at TU Dortmund University (DoDas), provides a platform for leading researchers to present groundbreaking work in the field of Machine Learning and Artificial Intelligence. These 90-minute sessions, unlike other colloquia, focus on interactive dialog and international collaboration and include one-hour lectures and 30-minute Q&A sessions. The colloquium will be held mainly in English. The hybrid format of the colloquium ensures that all interested parties can participate in person in the lecture hall at Fraunhofer Straße 25 in Dortmund or online via Zoom.
Abstract
Ecosystem degradation driven by human activities and climate change has caused major losses in biodiversity, ecosystem functions, and services worldwide. Ecological restoration is an important tool to halt and reverse the collapse of biodiversity decline, but its practice largely relies on ad hoc decisions by busy practitioners and policymakers.
Semantic knowledge graphs have the capacity to represent knowledge from both the peer-reviewed scientific literature and experiential knowledge. Dr. Alamenciak and his team are working to develop a knowledge graph using grassland restoration studies that will be enriched with practitioner interviews and paired with a LLM to create a public-facing tool for grassland restoration. His keynote will be centered around details about the architecture, key decisions and opportunities for research collaboration.
Dr. Tim Alamenciak
Our team at the Lamarr Institute is grateful to have met Dr. Alamenciak and to have explored his work during our visit to Canada.
He is a scholar working on engagement, program participation and open knowledge systems in biodiversity restoration and conservation. Dr. Alamenciak is a postdoctoral fellow with the Bennett Lab at Carleton University (Canada), an Adjunct Associate Professor in the School of Environment, Resources and Sustainability at the University of Waterloo (Canada) and a researcher with Waterloo.AI.
Details
Date
18. November 2025
14:15 - 16:00
Location
Hybrid Event - You may also participate via Zoom
Joseph von Fraunhofer Street 25; 3rd Floor; Room 303
44227 Dortmund
Topics
Resource-aware Machine Learning , Trustworthy Artificial Intelligence , Education, Science