Post-conference workshops

Workshop 1

Valorisation of biodiversity measures and ecosystem services in different future scenarios

Convenors:
Ariane Voglhuber-Slavinsky, Ewa Dönitz, Björn Moller
Competence Center Foresight, Fraunhofer Institute for Systems and Innovation Research ISI, Germany

Biodiversity, ecosystems as well as their functions and services are gaining importance in public debate. This fact leads to considering various options of their valorisation. In the past two decades, the responsibility of promoting biodiversity was mainly attributed to agricultural production where the physical implementation/realization of measures takes place. However, due to the restricted possibility of implementing measures in an economically driven system of farming, new approaches have to be identified, enacted and followed. The whole agri-food value chain must be charged with this task.

The analysis in the workshop will cover options of today as well as options that are conceivable in the future. Different options for the valorisation of measures to preserve and promote biodiversity and ecosystem services (ESS) will be presented and analysed according to their strengths and weaknesses. The evaluation will be conducted along the value chain. Examples are products that are more expensive because ESS are promoted in production. On the other hand, innovative valorisation models will be identified and discussed in the context of the different future scenarios.

This should answer the questions, which valorisation options are most appropriate under the changing framework conditions of the different scenarios. Therewith identifying those novel approaches of valorisation that might be applied in one scenario and those applicable in several scenarios.

Valorisation options

The work will be divided in a plenary part and breakout sessions for in depth discussions. From a methodological point, we will use the tetralemma approach, which is designed to break down existing bipolar patterns of thinking and to identify different trade-offs between the two poles or new approaches to solutions. Additionally a keynote talk will be held to trigger creativity and out of the box thinking. We want to give the opportunity to discuss with stakeholders along the value chain and provide a room for mutual learning.

The workshop will be held on Thursday, September 23, 2021, from 8:30 to 12:30.

Contact and registration: Ariane Voglhuber-Slavinsky (Ariane.Voglhuber-Slavinsky@isi.fraunhofer.de)

 

Workshop 2

Machine Learning for (soil) parameter prediction in R – A practical introduction

Convenors:
Marcus Schmidt, Leibniz Centre for Agricultural Landscape Research (ZALF), Germany
Marmar Sabetizadeh, ATB Potsdam, Germany
Masahiro Ryo, Leibniz Centre for Agricultural Landscape Research (ZALF), Germany
Nikolai Svoboda, Leibniz Centre for Agricultural Landscape Research (ZALF), Germany

Machine learning is everywhere. Movie streaming platforms and social media predict what you will like from vast amounts data. In medicine, machine learning is used to predict protein structures and in soil science, global maps can be filled with data based on similar observations where this data is available.

In this workshop, we will give an introduction to machine learning (especially focused on tabular data analysis; classification and/or regression) and demonstrate how training data is used to create and improve predictions for a parameter of choice. We will also talk about how such models can be interpreted so that they don’t remain a black box. Additionally, we will discuss advantages and disadvantages of machine learning in comparison to conventional statistical modelling such as linear models. We will provide a relatively large data set and go through the process of selecting data, building different models and interpreting the results step by step. Our playground will be European soil data.

Our goal is that after this workshop, you will have elementary knowledge about machine learning and efficient tools in hand to apply common machine learning algorithms such as randomForest or k-nearest neighbours (knn) to your own data sets.

To make most out of the workshop, we recommend that you are comfortable with basic data handling in R such as setting up a project, importing & manipulating data, visualizing data in ggplot2 and writing very simple functions.

Illustration machine learning

The workshop will be held on Thursday, September 23, 2021, from 9:30 to 16:00.

Contact and registration: Marcus Schmidt (mschmidh@gwdg.de)

 

Workshop 3

Let's come together! How can CGIAR research better contribute and support landscape approaches?

Convenor:
Natalia Estrada Carmona, The Alliance of Bioversity and CIAT

Integrated landscape approaches (ILA) is a promising strategy for achieving multiple outcomes on conservation, wellbeing, sustainable agriculture, and governance (Carmenta et al., 2020); yet various critical knowledge gaps in terms of performance and efficacity persist (Reed et al., 2020).

To date, CGIAR researcher's contributions to improving, enabling, and facilitating the adoption of ILA remain scattered, despite the critical role that the CGIAR can play in scaling up ILA for multifunctional agricultural landscapes.

The Water, Land and Ecosystems funded project, "Flipping the coin: managing agrolandscapes to tackle multiple global challenges through a landscape approach, "worked in 2021 with CGIAR and non-CGIAR researchers to

  1. Ascertain how CGIAR' research can improve designing, implementing, and monitoring landscape
    approaches for evidence-based outcomes at scale.
  2. Identify the ideal institutional conditions that enable successful research on landscape approaches.
  3. Increase the visibility of CGIAR's research over the past 10 years across Centers and Research Programs (CRPs) on landscape approaches.

Hence, we would like to have this workshop as an open and safe space to:

  1. reflect with CGIAR and non-CGIAR partners on the findings from the "ascertain, identify and increase" activities, and
  2. collectively select, design, and sort-list the critical priorities for better supporting ILA and multifunctional agricultural landscapes in the next ten years.

Valorisation options

Logo

We would like to use this workshop as a place for reflection, mostly with CGIAR researchers. Nonetheless, non-CGIAR researchers are also welcome to highlight and incorporate how CGIAR research contributing to ILA can be more meaningful and better articulated with existing efforts or initiatives.

The workshop will be held on Thursday, September 23, 2021, from 13:00 to 17:00.

Contact and registration:
Natalia Estrada Carmona (n.e.carmona@cgiar.org
Silvia Araujo de Lima (s.delima@cgiar.org)

 

Workshop 4

Participatory action research approaches for landscape sustainability

Convenor:
Federico Andreotti, Wageningen University & Research, the Netherlands

Land-use change, climate crisis, price crisis, and plant diseases are compromising the diversity, sustainability, and resilience of agricultural landscapes. Supporting dialogue among the stakeholders who work and live the landscape can lead to cooperation and to sustainability transition. Participatory action research approaches showed to support and facilitate dialogue fostering solutions or highlighting conflicts in the landscape. Within these research methods serious games, backcasting workshops, Q methodology, and visual research methods are standing out. While the applications of these methods are spreading, the impact that these research approaches have on stakeholder’s perceptions and on landscape management is rarely investigated.

The workshop aims to explore the potential of participatory action research approaches and to foster the discussion on how to assess the impacts of these methods. The workshop is divided into two sessions:

  1. An overview of participatory action research approaches will be explored sharing experience from the fieldwork. The participants will discuss in small focus groups these methods reflecting on their experiences.
  2. A serious game test on the role that species diversity has in the landscape. The experience will be collectively evaluateted for improving the design and for further reflect on how to assess the impact of this method.

In the first session of the workshop the convenor will share his previous research experiences, while in the second session the participants will test a prototype of an online serious game that the convenor is developing in the frame of the SESAM project.

References:
Andreotti, F., Speelman, E. N., Van den Meersche, K., & Allinne, C. (2020). Combining participatory games and backcasting to support collective scenario evaluation: an action research approach for sustainable agroforestry landscape management. Sustainability Science, 15(5), 1383-1399. https://doi.org/10.1007/s11625-020-00829-3

The workshop will be held on Thursday, September 23, 2021, from 13:00 to 17:00.

Contact and registration: Federico Andreotti (federico.andreotti@wur.nl)