Friederike [freddy; she/her] Hillemann

Dr. Friederike [freddy; she/her] Hillemann

Databank Manager
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Visiting Address

Droevendaalsesteeg 10
6708 PB Wageningen

+31 (0) 317 47 34 00

The Netherlands



Contributing to the SPI-Birds project's mission of developing a FAIR research toolbox of datasets, codes, and publications -- one byte at a time.


I joined the Department of Animal Ecology at NIOO-KNAW, Wageningen in support of the SPI-Birds developers’ team in February 2024. My main tasks include setting up an effective GitHub-implemented code review pro- cess, extending the (meta)data library for SPI-Birds studies and writing data- standardising pipelines, and organising workshops on the use of SPI-Birds’ data and code libraries.

I gained first-hand experience in collecting and managing data on individually-marked birds; as part of my doctoral studies, I tracked social in- formation use in foraging mixed-species flocks of tits to understand how socio- ecological factors shape mixed-species groups. For my postdoctoral research, I turned to human behavioural ecology and have been studying foraging and food sharing networks among Inuit in the Canadian Arctic to make predictions about the impact of climate change on peoples’ food security and the long-term resilience of Arctic subsistence activities. My comparative research generally focuses on how individuals’ decisions, driven by social, economic, and ecological factors, affect social structures and transmission processes (food sharing, social information use), and how, in turn, those social processes affect the way individuals navigate their environments (e.g., risk taking). Ethical considerations including potential societal impact of my work require rigorous data management practices for research-based evidence, and I am happy to contribute my experience to the SPI-Birds Network and Database, a pioneering initiative establishing high standards for the responsible management and use of valuable ecological data.

Projects & collaborations


SPI-Birds Network and Database