10th International Conference on Ecological Informatics

Translating Ecological Data into Knowledge and Decisions in a Rapidly Changing World.

24-28 September 2018, Jena, Germany

Welcome to the 10th International Conference on Ecological Informatics. The conference aims to bring together researchers interested in data-intensive ecology – both from an ecological and a computer science point of view. After successful biennial conferences in France, Australia, Italy, South Korea, United States, Mexico, Belgium, Brazil, and China, the 10th International Conference on Ecological Informatics will be hosted in Jena, Germany, 24-28 September.

Click here for the program overview

Important Dates

Bayesian belief networks course & hands-on

  • There will be a course and hands-on on Saturday, September 29, 2018.
  • Please consider this when planning your trip.
  • You can find more infos on the Program page.

Posters & Demos

  • The call for poster presentations and computer demonstrations is closed.
  • Poster and demo proposals are under review now.

Registration

  • Registration is open.
  • Early Bird Deadline: August 5, 2018. Regular Deadline: September 15, 2018.
  • Visit the Registration page for more information.

Register Now

Student Travel Grants

  • The application procedure for student travel grants is open.
  • Deadline: August 5, 2018.
  • Visit the Student Travel Grant page for more information.

Apply Now

Keynote Speakers

K1

Maarja Kruusmaa
Tallinn University of Technology, Estland

Talk: Aquatic sensing using underwater robots: preparing for a deluge of environmental data.

K2

Marie A. Roch

San Diego State University, USA

Talk: Mining and management of eco-acoustic data.

K3

Debra P. C. Peters
United States Department of Agriculture (USDA) & New Mexico State University, Las Cruces, USA
Talk: Harnessing the power of big data in ecology by machine learning.

K4

Duccio Rocchini

University of Trento, Italy

Talk: A look beyond biogeographical theories: advances and challenges.

Supported by

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CRC 1076 AquaDiva, funded by the DFG

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We are also grateful for the support by:

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