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Workshops are intended to convey specific knowledge or skills, or to start to become familiarized with the use of auxiliary technology tools in order to improve quantitative and qualitative research methods. They can involve extended discussion as well as hands-on training sessions.
All workshops are scheduled on Monday morning, 4th February 2019. Methodologic and technical are charged with a 10€ registration fee.
In order to diversify participation and, since most workshops are held in parallel, attendance at workshops is exclusive (each participant can only apply for one of the workshop-options availables). Admission will be available up to complete the maximum seating capacity in each case, on a first-come, first-serve basis. Please note that Workshops that do not reach a minimun quota of participants may be cancelled and subjected to reimbursement.
Find bellow descriptions of all workshops that will be held during the meeting.
1.   Career development (4 h. /25-60 participants / free of charge)
              Organizer: Karen Devine (British Ecological Society)
The British Ecological Society builds on the advice and experience gained through its own careers programmes to deliver the key highlights that support all early careers researchers. Our programme reflects the feedback we have received from Early Career researchers attending our international meeting and reflects a European wide demand for support and guidance. Facilitated by the Head of External Affairs, we include a series of interactive, self reflective and short sessions on:
  • Using learned societies and networks to grow a professional reputation including through engaging with society activities, attending scientific conferences and social media
  • When and how to access European funding and improve grant writing skill sets including small grants, building a grants portfolio and applying to fellowships
  • Publishing and peer review from getting published, managing press and developing peer review skills
  • And finally communicating science in the digital age for science with impact
Each short session provides participants with an introduction, top tips and individual perspectives prior to peer group and individual activities; each session ends with an opportunity for participants to ask their own questions.
At the end of 4 hours we hope all participants feel able to leave with three actions they will complete as part of their professional development.
2.   Citizen Science meets Ecology (4 h. / 10-30 participants / free of charge)
        Organizer: Bernat Claramunt-López (CREAF – UAB), Jaume Piera (ICM-CSIC, CREAF-UAB), Cristina Villaverde (GBIF.ES, RJB-CSIC), Santiago Martinez (BINEO Consulting SL) & Felipe Castilla (GBIF.ES, RJB-CSIC)
With the arousal of citizen science in the Academia, the scientific community is facing new challenges but also is offered a plethora of opportunities. The objective of this workshop is, on one hand, bringing together some successful (and unsuccessful) experiences, but also, and more importantly, to discuss about these new challenges and opportunities. We aim at puting some light on issues such as data quality and control, ethics, big data and interoperability, and also at providing tools and strategies to start a project where citizen scientists may be invited to participate. Participants in this workshop may range from senior scientists to PhD students, interested in knowing more about citizen science and how they can (if they may) use this approach to increase the quantity and quality of their project’s data. 

3.  Remote Sensing in Ecology and Conservation (3 h. / 10-30 participants / price: 10 €)
Organizers: Javier Cabello (University of Almería), Domingo Alcaraz-Segura (University of Granada), Francisco J. Bonet (University of Córdoba) & Joao Honrado (University of Porto) 
Remote sensing (RS), the science of obtaining information via noncontact recording, has swept the fields of ecology, biodiversity and conservation. Satellite imagery-derived data have enormous potential to inform about the structure, composition and function of ecosystems, and their response to environmental changes, at multiple spatial and temporal scales. However, the perceived complexities of RS data and analyses have tended to discourage scientists and managers from using this valuable resource. This workshop will show successful examples of how RS tools can be very useful to ecological and conservation biology research. These examples will deal with topics such as: RS of essential biodiversity variables, satellite-derived ecosystem functional attributes to monitor protected areas and habitats, deep learning techniques to identify ecosystems based on spatial and structural attributes, building process-based ecological models from multispectral data, mapping biological entities and tracking environmental changes with the aid of hyperspectral imaging, and LIDAR data to characterize forest structure and carbon sequestration. We hope that the realization of the huge potential of RS in ecology and conservation through these examples, and the increasing availability of spatial and temporal resolution satellite imagery suitable for answering ecological questions, will encourage researchers and managers to use these tools. 
4.  Introduction to meta-analysis in ecology (5 h. / 10-30 participants / price: 10 €)
              Organizer: Verónica Ferreira (MARE and University of Coimbra)
Meta-analysis is a statistical tool for combining the results of primary studies on the same topic, taking into account study precision, to allow general conclusions, evaluation of consistency in results across studies, and identification of research gaps. As it is an objective and powerful tool for summarizing evidence, the number of meta-analyses in ecology has been rising in recent years. This popularity of meta-analysis suggests its usefulness in addressing ecological questions and makes it a possibility when deciding the approach to address given questions. Also, the large number of meta-analyses released increases the probability that one reads or reviews a meta-analysis study. This course will introduce the basics of meta-analysis and make participants aware of this tool as well as prepared to evaluate its quality and interpret its results. Theoretical topics will be accompanied by the performance of a meta-analysis based on an existing matrix that will be provided to the participants ahead. The software to be used in the course is OpenMEE, which can be downloaded in advance and for free at http://www.cebm.brown.edu/openmee/download.html
             Recommendations: own laptop with OpenMEE
5.   Application of statistics of extremes to ecological data (4 h. / 2-20 participants / price: 10 €)
Organizers: Julia Chacón (INIA) & Cristina García (CIBIO/InBIO)
The nature and the consequences of extreme events have long intrigued ecologists and the urgent need to understand biological responses to global change have boosted this interest in the latest decades. Extreme ecological events (EEEs) are highly infrequent events with a very large or very low magnitude that pose disproportionate - positive or negative - consequences for a given ecological system. Ecosystems are affected by different types of EEEs, such as: (i) extreme climatic events (ECE) that are forecasted to increase their frequency, magnitude, and duration in the following decades; and (ii) long distance dispersal (LDD) events that underlie distribution range shift dynamics, drive species assemblage in rich-species communities, shape the scale of genetic and demographic spatial patterns, and determine the advance of invasive species.
This workshop aims to provide the basic knowledge about statistics of extremes and its application to address ecological issues. The workshop includes brief tutorials on: i) quantification of spatial extreme values (Dr. Mathiew Ribatet, Montpellier University); ii) modelling with extreme values (Julia Chacón, INIA/Luis Borda de Agua, CIBIO); and iii) modelling dispersal kernels based on extreme value functions (Cristina García, CIBIO). After each tutorial, hands-on sessions will follow to work with R packages specifically developed to work with extreme values.

Recommendations: basic knowledge on R / own laptop with R and Rstudio

6.   Introduction to the tidyverse: dplyr, tidyr and purrr (4 h. / 1-40 participants / price: 10 €)
              Organizers: Aitor Ameztegui (Universitat de Lleida) & Víctor Granda (CREAF)
In the last few years, the tidyverse has changed the way in which many scientist do data science. The tidyverse is a collection of R packages specifically designed for data science. All packages share an underlying design philosophy, grammar, and data structures, which has turned them into a kind of "own ecosystem" that some researchers have not dared to enter into. This workshop aims to overcome these fears by presenting some of the most widely used packages in the tidyverse: dplyr, tidyr and purrr. tidyr has been specifically designed to organize and format data in a way that makes it easier to work with. dplyr is designed to make the main data manipulation operations easier. Together, they facilitate data wrangling and enable the researcher to focus on the problems he or she wants to solve, not on how to solve them. purr, on the other hand, facilitates repetitive tasks and loops in tidy data by providing a complete and consistent set of tools for working with functions and vectors. 
Recommendations: basic knowledge on R / own laptop with R and Rstudio

7.  Reproducible science with Rmarkdown (2 h. / 1-50 participants / price: 10 €)
Organizer: Francisco Rodríguez Sánchez 
How much time have you wasted trying to redo a statistical analyses, figure or table after changes in data or referees’ comments? Most scientific research is not reproducible: it is really hard, if not impossible, to understand how results are derived from data and to regenerate them in the future (even by the same researchers). However, traceability and reproducibility of results are indispensable elements of high-quality science. They are also an increasing requirement of many journals and funding sources.
In this workshop we introduce a set of easy tools based around R and Markdown to integrate analysis and text on the same dynamic document to achieve reproducible workflows in the context of ecology. With Rmarkdown we will be able to easily produce reproducible manuscripts, websites, or slides that record the whole workflow from data to results, and can be updated with a single click.
Recommendations: basic knowledge on R / own laptop with R and Rstudio
8.  Introduction to ggplot2 and plotly (2 h. / 2-20 participants / price: 10 €)
Organizers: Miriam Colls-Lozano (ICRA), Juan David González-Trujillo (ICRA), Mateu Menéndez (CEAB-CSIC) 
A picture is worth a thousand words. A well-designed figure can enhance our compression of ecological patterns and processes, and can help us to easily communicate our findings to others. However, designing a figure is not an easy task. The high diversity of data types, visualization strategies, and software increase the laboriousness for obtaining a storytelling figure. Then, our aim in this workshop (of 2.5 hours long) is to introduce to the main strategies for visualizing ecological data, illustrate some of the most “common mistakes” in data visualization, and discuss about designing a good storytelling figure. By using “ggplot2” and “plotly” packages, we also aim to show how RStudio allow us to create good looking plots with few lines of code, and how we could take advantage of the interactive features offered by these packages. Moreover, all attendees will return home with all the scripts developed during the workshop.
Recommendations: basic knowledge on R / own laptop with R and Rstudio
9.   Eco-Dataton - collaborative analysis of ecological data (4-5 h. / 8-25 participants / free of charge)
Organizer: Hugo Saiz (Universidad Rey Juan Carlos) & Ignasi Bartomeus (Estación Experimental de Doñana)
Datatons are data analysis meetings where people cooperate to solve questions of interest by using different datasets. The aim of these meetings is to enhance collaboration between the participants and to develop innnovative solutions to scientific problems. From the Ecoinformatics working group from AEET, this year we propose for the first time to carry out a Dataton based on Ecological questions. The participants will meet for a day to discuss and develop innovative ways to fill current gaps in ecological theory by using datasets provided by the organizers. Participants will get an introduction about the datasets and the questions to be answered, will organize in working groups to cooperatively solve these questions, and will meet for a final discussion to present and evaluate the different approaches developed during the event. Participants will learn different methodologies to solve problems, establish collaborative bounds with other ecologists and plant the first seeds for future scientific collaborations.
               Recommendations: basic knowledge on R and Github / own laptop with R and Rstudio

10.   Modelling multi-stressor responses across ecosystems in R (4 h. / 3-10 participants / price: 10 €). 
Organizer: Cayetano Gutiérrez Cánovas (University of Barcelona) & Pol Capdevilla Lanzaco (University of Barcelona)
This workshop aims at getting started in modelling multi-stressor effects on ecosystems. Global change is increasing the number and intensity of stressors impacting ecosystems, which may result effects that deviates from their simple addition. Quantifying combined stressor effects requires specific modelling techniques that consider potential interactive effects and exploring the relative importance of each stressor.
 During the workshop, we will get familiarised with a modelling protocol to explore multi-stressor effects using R code, which consists in a two-step process: 1) performing an exploratory analysis using machine learning techniques (Random Forest and Boosted Regression Trees) to rank predictor importance and identify potential pairwise interacting variables; 2) quantifying the effect size and significance of individual stressors and their interactions using multi-model inference (model coefficient averaging of the top models including the most important stressors).
The participants of this workshop will become familiar with the data and statistical techniques required to model multi-stressor effects, along with the R functions and code necessary for its implementation. The philosophy of the workshop is purely practical: we will work one case-study to showcase the potential and the frequent questions and issues that may arise during the application of the protocol. We will provide papers and code to allow participants to expand their knowledge and skills through further practice. The knowledge gained through the participation in this workshop can be applied to data from any ecosystem and biological data.
             Recommendations: basic knowledge on R, ANOVAs and General Linear Models / own laptop with R and Rstudio

11.   Introduction to Mendeley: the free citation software (2 h. / 10-25 participants / price: 10 €)
Organizer: Edurne Martinez del Castillo (Universidad de Zaragoza)
Mendeley is multi-platform free software developed for scientist to organize their references, discover new ones, collaborate with others, and provide an easily-citation tool. The main goal of the workshop is to provide insight of this free tool to promote its regular use and to facilitate the citation process and the references’ management. Without the use of a reference manager, those are tedious and time-consuming tasks, however, there are essential for scientific publication of any area of knowledge.
In this Workshop, the participants will create a personal library of materials and will be able to structure it by adding notes or highlights. They will learn how to import references, edit them, manage their library, search references and cite with Mendeley. One of the most popular features of Mendeley is its ability to improve the citing process. Mendeley makes it a lot easier to insert properly formatted citations throughout a paper and will automatically generate a bibliography.
Recommendations: basic knowledge on Microsoft Word / own laptop