Date: 3 und 4. May 2022 (tuesday + wednesday)

Local time: UTC +2h (summer time)

Location: Lecture Hall Botanik, Nußallee 4, 53115 Bonn

ZOOM link: https://uni-bonn.zoom.us/j/66426372044?pwd=YXRWdE94WnJEUHhpYVpiYXhKY2lydz09

 

Tuesday May 3 2022

  Time Subject Speaker presence
  10.00 Introduction

Wolfgang Wägele

w.waegele@leibniz-lib.de

analog
1 10.10 Combining existing technologies into a biodiversity monitoring station”?

Tom August

tomaug@ceh.ac.uk

online
2 10.30 ARISE setup, architecture and data management

Chantal Hujbers

chantal.huijbers@naturalis.nl

analog
3 10.50 Automated biodiversity monitoring: first insights from the ARISE monitoring demonstration sites

Daniel Kissling

wdkissling@gmail.com

analog
4 11.10 Field and collection sampling in the ARISE project

Hannco Bakker

hannco.bakker@naturalis.nl

online
  11.30 Short break
5 11.50 The Amsterdam Rat Project: Finding scalable solutions to monitor urban rodents

Caitllin Black

c.e.black@uva.nl

online
6 12.10 Lessons from monitoring with DNA metabarcoding for aquatic macroinvertebrates

Alex Bush

alex.bush@lancaster.ac.uk

online
7 12.30 „Depth-Aware Visual Wildlife Monitoring“

Timm Haucke

s6tihauc@uni-bonn.de

analog
8 12.50 International Perspectives in Animal Biometrics“

Tilo Burghardt

tb2935@bristol.ac.uk

online
  13.10 Lunch
9 14.00 Camera traps, AI and large-scale collaboration enable annual continent-wide mammal surveys

Roland Kays

rwkays@ncsu.edu

online
19 14.20 Demonstrating Digital Species identification – AI modules

Jacob Kamminga

j.w.kamminga@utwente.nl

analog
11 14.40 Automated non-lethal moth traps can be used for robust estimates of moth abundance

Lea Heidrich

lea.heidrich@biologie.uni-marburg.de

analog
12 15.00 Embedded machine vision devices for monitoring biodiversity

Kevin Darras

kdarras@gwdg.de

online
  15.20 Short break
13 15.40 Visual monitoring in AMMOD

Paul Bodesheim

paul.bodesheim@uni-jena.de

analog
14 16.00 The AMMOD moth scanner

Dimitri Korsch

dimitri.korsch@uni-jena.de

analog
15 16.20 Man vs. Machine: A hands down comparison of bird identification from soundscape recordings by machine learning and professional ornithologists

Jan Engler

Jan_Oliver.Engler@tu-dresden.de

analog
16 16.40 Importance of high-quality annotation for robust bird sound classification

Olaf Jahn

Olaf.Jahn@mfn.berlin^^

analog
  17:30 Drinks & Snacks

 

 

Wednesday May 4 2022

 

  Time Subject Speaker  
  10.00 Welcome

Wolfgang Wägele

w.waegele@leibniz-lib.de

analog
17 10.10 Towards reliable detection of bird species in complex acoustic environments

Mario Lasseck / Benjamin Werner Mario.Lasseck@mfn.berlin

Benjamin.Werner@mfn.berlin

analog
18 10.30 Multichannel Features for Bioacoustic Signal Processing

Paul Baggenstoss

paul.baggenstoss@fkie.fraunhofer.de

analog
19 10.50 Automated identification of forest bird species – a comparison with real world community data

Dana Schabo, Sascha Rösner

dana.schabo@staff.uni-marburg.de, sascha.roesner@uni-marburg.de

???
20 11.10 What will it take to develop a global network of bird phenology?”

Morgan Tingley

mtingley@ucla.edu

analog
  11.30 Short break
21 11.50 The global soundscapes project: synthesis of biological, geological, and human sounds across realms

Kevin Darras

kdarras@gwdg.de

online
22 12.10 An Insect Species Multimeter for Troubleshooting Ecology in the Landscape”

Mikkel Brydegaard

mikkel.brydegaard@forbrf.lth.se

online
23 12.30 Smellscapes – Automated monitoring of volatile plant metabolites in ambient air: The technology

Wolfgang Vautz

w.vautz@ion-gas.de

analog
24 12.50 Smellscapes – Automated monitoring of volatile plant metabolites in ambient air: Data

Maximilian Weigend, Florian Losch

mweigend@uni-bonn.de, flosch@uni-bonn.de

analog
  13.10 Lunch
25 14.00 Sensor Data Fusion for Estimating the Biodiversity – Methods and Results

Torsten Fiolka

torsten.fiolka@fkie.fraunhofer.de

analog
26 14.20 AMMOD in NFDI context

Ivalyo Kostadinov

ikostadi@gfbio.org

online
27 14.40 AMMOD data sensor2cloud solution

Domenico Velotto

dvelotto@uni-bremen.de

online
28 15.00 Metabarcoding and DNA sequencing Kevin Beentjes kevin.beentjes@naturalis.nl online
  15.20 Short break
29 15.40 Metabarcoding of insect and anemophilous plant traces

Birgit Gemeinholzer

Birgit.Gemeinholzer@uni-kassel.de

analog
30 16.00 Automating Insect Diversity Assessment: From the Field to the Lab.

Amelie Kirse

A.Kirse@leibniz-lib.de

analog
31 16.20 Modular Basestation and Sensor approach for Scalable and Maintainable Biodiversity Monitoring“

Krzysztof Piotrowski

piotrowski@ihp-microelectronics.com

online
  16.40 Drinks & snacks