update summary paper

paper/paper.md

@@ -22,14 +22,14 @@ date: 28 August 2024
 bibliography: paper.bib
 ---
 # Summary
-Add summary
+Addressing the major challenges of the 21st century, such as climate change, will require complex and ambitious policies that promote social justice. To do so, it is necessary to design efficient policies that do not exacerbate existing inequalities, such as income or gender inequality. In this sense, it is essential to carry out impact analyses of policies from a holistic perspective that evaluates the economy, energy, land, and water systems in an integrated manner before implementing them. While IAMs have been a fundamental tool in the past, micro-simulation models for distributional analysis have the advantage of providing more heterogeneous results that help to more robustly identify the socio-economic impacts of the policies to be implemented. These analyses make it possible to identify the people who will be most affected by policies and to implement compensatory measures to make the policy fairer. Thus, the combination of both models (IAMs and microsimulation models) can provide valuable results for decision making.
 
-`medusa` is an R package that allows the development of distributional analyses in isolation or in connection with other models. The extensive database in which the microsimulation model is based allows for highly disaggregated results, taking into account numerous socioeconomic and demographic characteristics of households, such as income level, place of residence, type of family or the feminization degree of the household.The package combines these with the calculations of energy and transport poverty indexes. 
+`medusa` is an R package that allows the development of distributional analyses in isolation or in connection with other models. The extensive database in which the microsimulation model is based allows for highly disaggregated results, taking into account numerous socioeconomic and demographic characteristics of households, such as income level, place of residence, type of family or the feminization degree of the household. The package combines these with the calculation of energy and transport poverty indices. 
 The structure of the `medusa` package is summarized in Figure 1.
 
 ![Structure of the `medusa` package](figure1.png)
 
-`medusa` can be accessed via the web at the public domain https://github.com/bc3LC/medusa. The following code is a simplified example that shows how to run the package. In addition, to get started with `medusa` we provide an R vignette step-by-step tutorial which is accessible [here](https://bc3lc.github.io/medusa/).
+The `medusa` package is available online through the public domain at https://github.com/bc3LC/medusa. Below is a simplified code example demonstrating how to execute the package. For a comprehensive introduction to `medusa`, a detailed step-by-step tutorial is provided in the form of an R vignette, accessible [here](https://bc3lc.github.io/medusa/).
 
 ```r
 install.packages("remotes")