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Dirk Ahlers

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3 records found

Journal article (2022) - Mark van Wees, Beatriz Pineda Revilla, Helena Fitzgerald, Dirk Ahlers, Natalia Romero, Beril Alpagut, Joke Kort, Cyril Tjahja, Sander Smit, More authors...
It is commonly assumed by the projects demonstrating concepts for positive energy districts in cities across Europe that citizens want and need to be involved in the development of these concepts as an essential condition for positive energy districts to be deployed successfully and to achieve the expected societal goals. Six different research and innovation projects are investigating the different forms of energy citizenship in positive energy districts and their impacts. They aim to apply a transdisciplinary approach to collaborative research and to impact assessment. The interim results are described, and preliminary conclusions on impact are drawn. The projects each used different approaches to engaging citizens, while differentiating between different groups. Progress is monitored but only fragmentary evidence on the impact has been gathered. Transdisciplinary approaches are being developed but are still immature. ...
Conference paper (2021) - Mark van Wees, Beatriz Pineda Revilla, Helena Fitzgerald, Dirk Ahlers, N.A. Romero Herrera, Beril Alpagut, Joke Kort, Cyril Tjahja, Gabi Kaiser, More authors...
It is assumed by the projects demonstrating Positive Energy District (PED) concepts in cities across Europe that citizens should want and need to be involved in the development of new energy concepts, such as PEDs for these concepts to be deployed successfully. Six different PED research and innovation projects are investigating the types and expectations of citizen engagement. They evaluate the impact of energy citizenship on the success of PED deployment across Europe ...
Conference paper (2017) - Deepa Mallela, Dirk Ahlers, Maria Soledad Pera
We present CEST, a generic method for detection and rich summarization of events occurring in a city. CEST exploits Twitter metadata, does not need prior information on events, and is event category and structure agnostic. We developed CEST to process unstructured documents and take advantage of shorthand notations, hashtags, keywords, geographical and temporal data, as well as sentiment within tweets to both detect and summarize arbitrary events without prior knowledge. We also introduce a novel strategy that analyzes sentiment and tweeting behavior over time to create a qualitative score that captures events' overall appeal to attendees. ...