Enrico Di Minin

iEcology: Harnessing Large Online Resources to Generate Ecological Insights.

Allan T Souza, Uri Roll, Ricardo A Correia, 2020, Trends in ecology & evolution.

Automated retrieval of information on threatened species from online sources using machine learning

Ritwik Kulkarni, Enrico Di Minin, E. Di Minin, 2021, Methods in Ecology and Evolution.

Machine learning for tracking illegal wildlife trade on social media

Christoph Fink, Henrikki Tenkanen, Tuomo Hiippala, 2018, Nature Ecology & Evolution.

Social media reveal that charismatic species are not the main attractor of ecotourists to sub-Saharan protected areas

Henrikki Tenkanen, Tuuli Toivonen, Vuokko Heikinheimo, 2017, Scientific Reports.

Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas

Henrikki Tenkanen, Tuuli Toivonen, Liisa Kajala, 2017, Scientific Reports.

Identification of policies for a sustainable legal trade in rhinoceros horn based on population projection and socioeconomic models

Atte Moilanen, Federico Montesino-Pouzols, Rob Slotow, 2014, Conservation biology : the journal of the Society for Conservation Biology.

A framework for investigating illegal wildlife trade on social media with machine learning

Christoph Fink, Henrikki Tenkanen, Tuomo Hiippala, 2018, Conservation biology : the journal of the Society for Conservation Biology.

Global Protected Area Expansion: Creating More than Paper Parks

Tuuli Toivonen, Enrico Di Minin, T. Toivonen, 2015, Bioscience.