class: center, middle, inverse, title-slide # Introduction to CSS ## IPSA-Flacso Summer School ### Tiago Ventura --- class: center, middle # Why are we here? -- ### Data, data, data, data .... -- --- class: center, middle <img src="data_store.png" width="80%" /> --- # Smartphone Data <img src="mob_01.png" width="100%" /> --- # Social Media and Networks <img src="redes.png" width="100%" /> --- ## Electoral Data <img src="eleicoes.png" width="100%" /> --- ## Text-as-Data .pull-left[ <img src="camara.png" width="100%" /> ] .pull-right[ <img src="tweets.png" width="100%" /> ] --- ## On-line Surveys <img src="survey.png" width="70%" /> --- class: center, middle <img src="toystore.jpg" width="100%" /> --- class: center, middle # Why are we here II ? #### if the data argument was not enough for you --- class: center, middle ### Better opportunities in the academic and non-academic market for researchers who feel confortable working with large, new, and unstructured datasets. --- ## Social Sciences in the Digital Era: Positives - Plenty of data for free and easy access. - New data Allows you to ask new questions. - And also to find new answers to old questions. - Higher Computational Power: New methods, more powerful, faster, and more accessible computers. --- ## Social Sciences in the Digital Era: Challenges - Bigm Digital Data requires more technical training. - Computer Scientists care more about performance. - Social Scientists care more about theoretically relevant questions. - Build more interdisciplinary is hard at the personal, and institutional level. --- class: center, inverse, middle ### Our main goal during these two weeks is to [introduce students]() to the basics of working with big data in the field of Computational Social Sciences (CSS). We will focus on [digital data, text, and network models](). --- ## An example of what we will learn. From [Aruguete, Calvo and Ventura, 2020](https://www.tandfonline.com/doi/abs/10.1080/21670811.2020.1852094) .pull-left[ <img src="twitter-api.jpg" width="80%" /> <img src="Bolsonarobasicmap.png" width="80%" /> ] .pull-left[ <img src="news_.png" width="80%" /> <img src="parameters_ideo.png" width="80%" /> ] --- ## Let's start getting to know each other a bit more. ### Who am I ? - Tiago Ventura - Pronoun: Ele-Dele. - Ph.D. Candidate Government and Politics, UMD - Researcher on Civic Integrity on Twitter. (Recently started!) ### Contact - **Website:** [tiagoventura.rbind.io](http://tiagoventura.rbind.io/) - **Email:** venturat@umd.edu --- ## Language .pull-left[ <img src="portunol.png" width="800" /> ] .pull-right[ - The lectures will be in English (mi portunol no es muy bueno todavia) - But if you have issues asking questions in English, try it in spanish. - I understand spanish well, particularly if you are patient, and go **despacito**. ] --- ## Your Turn. .pull-left[ - Names and Pronouns. - Field of Study (one sentence) - What do you expect to learn? (brief, two sentences) ] .pull-right[ <img src="scott.gif" width="90%" /> ] -- --- ## Course Structure #### Week 1 - With me - Day I: Intro do R - Day II: Tidyverse and Data Wrangling - Day III: Tidyverse II + Functional Programming + Loops - Day IV: Acessing Digital Data - Day V: Intro do Text-Analysis (Tidy approach) --- <br><br><br> #### Week 2 - With Ernesto Calvo - Text Analysis - Twitter Data - Network Models --- ## How to get the materials for week 1? <br><br><br><br><br> .center[ [All the Materials are and will be for a long time on github](https://github.com/TiagoVentura/ventura_calvo_flacso_workshop) ] --- class:center, inverse, middle # Questions --- class:center, inverse, middle ## Well, I have some ### Take 5 minutes ot answer this [survey](https://forms.gle/pHsxMHrcsGKG1J8NA)