2-6th June, Pontevedra, Galicia

Workshops 

Explore our hands-on workshops covering cutting-edge tools and methodologies in ecology and scientific research. Below, you’ll find a brief description of each workshop, including objectives, requirements, and learning outcomes, to help you choose the most relevant one for your interests. 

All workshops will be held on Monday, June 2nd, in the morning. Registration for any of the workshops is €10 and is exclusive, as they are held in parallel.

 W1. Evidence Synthesis in Ecology 

» Objective: Understand different types of evidence synthesis (e.g. systematic review, meta-analysis), the techniques needed to do them, and what tools can help you with this process.
» Requirements: Bring a laptop with R and RStudio installed; basic R knowledge is preferable.
» Learning Outcomes:

  • Learn the main methods of evidence synthesis used in ecology.
  • Understand the steps needed to conduct a systematic review.
  • Practice using tools for screening articles, extracting data, and visualizing results.

» Duration: 4 hours | » Max. Attendees: 30 | » Facilitator: Philip Martin 

Monday, June 2, 10:00-14:00

 W2. Automating Document Creation with labeleR 

» Objective: Streamline scientific document creation using the labeleR R package for automatic labels, certificates, and accreditation documents.
» Requirements: Bring a laptop with R and RStudio installed; basic R knowledge is recommended.
» Learning Outcomes:

  • Install and use labeleR to generate personalized documents.
  • Create and customize templates for various research applications.
  • Automate repetitive documentation tasks.

» Duration: 2 hours | » Max. Attendees: 25 | » Facilitators: Julia G. de Aledo, Jimena Mateo-Martín & Ignacio Ramos-Gutiérrez

Monday, June 2, 10:00-12:00

 W3. Knowledge Transfer in Ecology: Barriers & Opportunities 

» Objective: Explore challenges and strategies for transferring ecological research to public and private sectors.
» Requirements: No computer needed; interactive discussion format.
» Learning Outcomes:

  • Identify barriers to knowledge transfer.
  • Learn about practical tools like transfer offices, agreements, and funding strategies.
  • Share experiences and best practices.

» Duration: 2 hours | » Max. Attendees: 20 | » Facilitator: Enrique Doblas Miranda

Monday, June 2, 12:00-14:00

 W4. Promoting Creativity in Scientific Research 

» Objective: Develop creativity as a core scientific skill to foster innovation and problem-solving in research.
» Requirements: None—open to all!
» Learning Outcomes:

  • Learn creative thinking techniques (divergent, lateral, associative thinking).
  • Understand how team diversity fosters creativity.
  • Develop a growth mindset for scientific discovery.

» Duration: 4 hours | » Max. Attendees: 20 | » Facilitator: Isabel Reche & Francisco Perfectti

Monday, June 2, 10:00-14:00

 W5. Building a DIY BtM Datalogger for Moss & Lichen Water Monitoring 

» Objective: Learn to assemble and use an open-source datalogger to measure water content in mosses, lichens, and soil.
» Requirements: No prior electronics experience; materials provided. Bring a laptop if possible.
» Learning Outcomes:

  • Assemble and test a BtM datalogger.
  • Gain confidence in working with electronic components.
  • Understand its applications in ecological research.

» Duration: 4 hours | » Max. Attendees: 15 | » Facilitators: Ángel Lareo, María Leo & Nagore G. Medina

Monday, June 2, 10:00-14:00

 W6. Introduction to Structural Stability in Ecology 

» Objective: Explore how species interactions and environmental conditions shape biodiversity using structural stability theory.
» Requirements: Bring a laptop with RStudio installed; basic R knowledge recommended.
» Learning Outcomes:

  • Learn how structural stability explains species coexistence.
  • Apply the framework to ecological data using R.
  • Explore applications in climate change and ecosystem restoration.

» Duration: 4 hours | » Max. Attendees: 15 | » Facilitators: Violeta Calleja-Solanas, Sergio Picó & Oscar Godoy

Monday, June 2, 10:00-14:00

 W7. Introduction to Bayesian Inference in Ecology (R & Nimble) 

» Objective: Apply Bayesian Inference for species distribution and abundance modeling using R and Nimble.
» Requirements: Laptop with R, RStudio, and Nimble installed; basic R and GLM knowledge recommended.
» Learning Outcomes:

  • Understand Bayesian statistics and Markov Chain Monte Carlo (MCMC).
  • Build and run Bayesian models in Nimble.
  • Apply Bayesian approaches to ecological data.

» Duration: 4 hours | » Max. Attendees: 20 | » Facilitators: Javier Fernández-López, Sonia Illanas

Monday, June 2, 10:00-14:00

 W8. Reproducible & Collaborative Research in R (GitHub & Quarto) 

» Objective: Improve research efficiency with version control (GitHub) and dynamic document creation (Quarto).
» Requirements: Laptop with R, RStudio, Git installed; GitHub account needed.
» Learning Outcomes:

  • Learn version control (Git) for research projects.
  • Create and publish reproducible documents using Quarto.
  • Improve collaboration and workflow efficiency.

» Duration: 4 hours | » Max. Attendees: 30 | » Facilitators: Elena Quintero, Guillermo Fandos & Verónica Cruz Alonso

Monday, June 2, 10:00-14:00

 W9. Big Data & Remote Sensing for Biodiversity Monitoring 

» Objective: Learn large-scale biodiversity monitoring techniques using GIS, remote sensing, and Google Earth Engine (GEE).
» Requirements: Laptop with GIS software, RStudio installed, and GEE access (Gmail account needed).
» Learning Outcomes:

  • Process and analyze biodiversity data with machine learning.
  • Use Google Earth Engine for mapping biodiversity.
  • Combine remote sensing and in-situ data for large-scale predictions.

» Duration: 4 hours | » Max. Attendees: 40 | » Facilitators: Jose Manuel Álvarez-Martínez, Laura Hernández Mateo, Salvador Arenas-Castro & BigBioData AEET Team

Monday, June 2, 10:00-14:00

 W10. How to Land Competitive Projects (and Survive the Process) 

There is no magic formula for obtaining funding, but knowing which calls for proposals exist, what requirements they have and how they are evaluated can make the difference between a successful application and one that falls by the wayside. In this 2-hour workshop we will speak with researchers with experience in the evaluation of projects from societies such as the AEET or SIBECOL (Cristina Armas), Marie Curie Actions (TBA), the National Plan projects and Juan de la Cierva and Ramón y Cajal Contracts (Sara Palacio), and international and European projects (Ignasi Bartomeus). 

» Objective: To establish a dialogue that allows us to learn from each other and obtain some keys to navigate the complex world of Competitive Projects. We especially encourage young female researchers to attend, since there is often a gender bias that becomes evident when applying to competitive calls for proposals.
» Requirements: None—open to all!.

» Duration: 2 hours | » Max. Attendees: 40 | » Facilitators: Ignasi Bartomeus, Cristina Armas & Sara Palacio

Monday, June 2, 12:00-14:00

» How to Choose the Right Workshop?
Consider:
 ¡  Your level of experience with R, statistics, or specific software.
 ¡  Whether you need a theoretical or hands-on session.
 ¡  The skills you want to gain for your research projects.

? Register soon—spots are limited

The organization reserves the right to cancel workshops that do not meet the minimum registration quota required.

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