diff --git a/LICENSE b/LICENSE deleted file mode 100644 index 69ee815..0000000 --- a/LICENSE +++ /dev/null @@ -1,21 +0,0 @@ -MIT License - -Copyright (c) 2020 UK Data Service Open - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. diff --git a/README.md b/README.md deleted file mode 100644 index bceccb4..0000000 --- a/README.md +++ /dev/null @@ -1,3 +0,0 @@ -# New Forms of Data - -A training series conducted by the UK Data Service. diff --git a/_config.yml b/_config.yml index c419263..8f258e0 100644 --- a/_config.yml +++ b/_config.yml @@ -1 +1,2 @@ -theme: jekyll-theme-cayman \ No newline at end of file +theme: jekyll-theme-cayman +permalink: /new-forms-of-data/:year/:month/:day/:title/ diff --git a/_data/navigation.yml b/_data/navigation.yml new file mode 100644 index 0000000..b7a5c0e --- /dev/null +++ b/_data/navigation.yml @@ -0,0 +1,8 @@ +- name: Home + link: / +- name: About + link: /about.md +- name: Resources + link: /resources.md +- name: Blog + link: /blog.md diff --git a/_layouts/default.html b/_layouts/default.html new file mode 100644 index 0000000..326a1e2 --- /dev/null +++ b/_layouts/default.html @@ -0,0 +1,49 @@ + + + + + {% if site.google_analytics %} + + + {% endif %} + + +{% seo %} + + + + + + + + + + +
+ Home | About | Resources | Blog + {{ content }} + + +
+ + diff --git a/_layouts/posts.html b/_layouts/posts.html new file mode 100644 index 0000000..4e0d74f --- /dev/null +++ b/_layouts/posts.html @@ -0,0 +1,8 @@ +--- +layout: default +--- + +

{{ page.title }}

+

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+ +{{ content }} diff --git a/_posts/2020-03-26-welcome.md b/_posts/2020-03-26-welcome.md new file mode 100644 index 0000000..c380a14 --- /dev/null +++ b/_posts/2020-03-26-welcome.md @@ -0,0 +1,9 @@ +--- +layout: posts +author: Julia Kasmire +title: "Welcome to New Forms of Data Training Series" +categories: [blog] +tags: [computational social science, new forms of data] +--- + +[*Content*] diff --git a/about.md b/about.md new file mode 100644 index 0000000..68f7b58 --- /dev/null +++ b/about.md @@ -0,0 +1,34 @@ +--- +layout: default +title: "About" +--- + +# Meet the Team + +### Dr Julia Kasmire + +Julia is a Research Fellow at the UK Data Service based at University of Manchester. She has experience in linguistics, computational social science and complex system engineering and approaches her current role as an interesting opportunity to combine thinking like a computer (essential for data sciences) with thinking like a human (essential for social sciences). She also applies her experience and interest to the topic by understanding the skills of computational social science as adaptations within the complex and evolving system that is the modern world, in which both data and people matter a great deal. + +She is deeply committed to equality, diversity and inclusivity and is currently dabbling with stand-up comedy as a form of science communication. + +Email | + University profile | + Personal webpage | + ResearchGate | + Comses Model Repository | + Academia.edu | + LinkedIn | + SCOPUS | + Orcid ID | + Google Scholar | + Twitter + +### Dr Diarmuid McDonnell + +Diarmuid is a Research Associate at the UK Data Service based at University of Manchester. He is a social scientist with experience in academia, the public and voluntary sectors, and consultancy work. His research specialism is the regulation and accountability of civil society, particularly charitable organisations. His work leverages large-scale, administrative data from regulatory bodies in multiple jurisdictions. Diarmuid's teaching and methodological interests are in computational social science, quasi-experimental research designs, and e-Research. + +Email | + University profile | + Orcid ID | + Google Scholar | + Twitter diff --git a/agent-based-modelling/README.md b/agent-based-modelling/README.md deleted file mode 100644 index ade32cc..0000000 --- a/agent-based-modelling/README.md +++ /dev/null @@ -1,40 +0,0 @@ -# Agent Based Modelling - -Social science seeks to understand and predict patterns involving human behaviour, many of which are large-scale and complex. But social -science explanations or predictions can be difficult to test and refine because of the serious ethical and practical barriers to controlling, manipulating and replicating conditions within experiments. For example, there are many theories behind some of the complex patterns of urban mobility, but when traffic calming measures fail to produce the desired results it can be difficult to identify why or how the situation can be improved. - -One possible solution is to run social science experiments in silico, with simulated actors whose features, behaviours and actions are informed by real world data. This allows social scientists to test and refine their understanding of how an observed pattern can be recreated. Computational social science experiments also allow researchers to explore how emergent patterns might change under experimental, or even counter-factual, conditions. - -## Webinars - -### [1. Introduction to agent-based modelling for social scientists](https://www.youtube.com/watch?v=Twpg3j9dnG0) - -This webinar: - -* introduces the important concepts of emergent patterns, bottom-up processes, and other theoretical ideas underpinning agent-based modelling -* presents several examples of agent-based models -* discusses the pros and cons of agent-based models -* presents several software options for agent-based modelling and where to get more information - -### [2. Adding real world GIS and census data to agent-based modelling for social scientists](https://www.youtube.com/watch?v=7CAzJjYYtlE) - -This webinar: - -* introduces the important concepts downloading, cleaning and preparing shapefiles and other data files for importing into an existing agent-based model -* presents an extensive exploration of how a commuting model differs when based on random data or imported real world data -* discusses some problems and limitations of using real world data in agent-based models -* presents links so that users can access and use the model data presented in the webinar - -### [3. Conducting experiments, recording output and analysing results of agent-based modelling for social scientists](https://www.youtube.com/watch?v=l0oeeRaamEM) - -This webinar: -* how to conduct parameter sweeps for model testing in NetLogo -* how to automate the process of computational experiments (also in NetLogo) -* two different methods of exporting experimental data to saved files for further analysis -* briefly displays what exported experimental data looks like and how it might be analysed to support experimental conclusions - -## Resources - -The webinars are published on the UK Data Service Youtube channel: [https://www.youtube.com/user/UKDATASERVICE/](https://www.youtube.com/user/UKDATASERVICE/) - -The slides and other resources (e.g., reading lists) can be found in the `webinars` folder. diff --git a/blog.md b/blog.md new file mode 100644 index 0000000..974e35e --- /dev/null +++ b/blog.md @@ -0,0 +1,15 @@ +--- +layout: default +title: Blog +--- + +

Latest Posts

+ + diff --git a/docs/README.md b/docs/README.md deleted file mode 100644 index e50f5c6..0000000 --- a/docs/README.md +++ /dev/null @@ -1,3 +0,0 @@ -# New Forms of Data - -This is the website for the New Forms of Data project. diff --git a/docs/_config.yml b/docs/_config.yml deleted file mode 100644 index c419263..0000000 --- a/docs/_config.yml +++ /dev/null @@ -1 +0,0 @@ -theme: jekyll-theme-cayman \ No newline at end of file diff --git a/index.md b/index.md new file mode 100644 index 0000000..e45a766 --- /dev/null +++ b/index.md @@ -0,0 +1,3 @@ +# Welcome + +The website provides information and resources on the UK Data Service's *New Forms of Data* training series. diff --git a/resources.md b/resources.md new file mode 100644 index 0000000..a22006f --- /dev/null +++ b/resources.md @@ -0,0 +1,21 @@ +--- +layout: default +title: "Resources" +--- + +# Resources + +We produce a range of learning and teaching materials for social scientists interested in developing their understanding of and skills in new forms of data. + +## Webinars + +These are short (c. 30-40 minute) videos where we describe and demonstrate a new form of data. To date [2020-03-26] the following webinars are available via the UK Data Service Youtube channel: +* Agent-based Modelling + * Introduction to agent-based modelling for social scientists + * Conducting experiments, recording output and analysing results of agent-based modelling + * Adding real world GIS and census data to agent-based modelling for social scientists + +## Interactive notebooks + +These are electronic documents containing programming code - similar to Stata or R syntax files - that you can execute and edit from a web browser (no installation necessary). +They are created using the Jupyter Notebook software application. diff --git a/web-scraping/README.md b/web-scraping/README.md deleted file mode 100644 index 368b4dd..0000000 --- a/web-scraping/README.md +++ /dev/null @@ -1,25 +0,0 @@ -# Web-scraping for Social Science Research - -Vast swathes of our social interactions and personal behaviours are now conducted online and/or captured digitally. In addition to common sources such as social media/network platforms and text corpora, websites and online databases contain rich information of relevance to social science research. Thus, computational methods for collecting data from the web are an increasingly important component of a social scientist’s toolkit. - -## Webinars - -### 1. Case Study - -This webinar demonstrates the research potential of web-scraping by describing its role in generating a linked administrative dataset to study the causal effect of a regulatory intervention in the UK charity sector. Presented by [Dr Diarmuid McDonnell](https://www.research.manchester.ac.uk/portal/diarmuid.mcdonnell.html) of the UK Data Service, this webinar will cover the process of scraping data about charities, practical and ethical implications, and the advantages and disadvantages of using this form of data for social science research more generally. - -### 2. Websites as a Source of Data - -This webinar delineates the value, logic and process of capturing data stored on websites. Presented by [Dr Diarmuid McDonnell]( -https://www.research.manchester.ac.uk/portal/diarmuid.mcdonnell.html) of the UK Data Service, this webinar will cover the step-by-step process of collecting data from a web page, including providing sample code written in the popular Python programming language. It demonstrates web-scraping techniques for capturing real-time information on the Covid-19 pandemic, as well as for the author’s own research specialism (charitable organisations). - -### 3. APIs as a Source of Data - -This webinar delineates the value, logic and process of capturing data stored in online databases through an API (application programming -interface). Presented by [Dr Diarmuid McDonnell](https://www.research.manchester.ac.uk/portal/diarmuid.mcdonnell.html) of the UK Data Service, this webinar will cover the step-by-step process of downloading data via an API, including providing sample code written in the popular Python programming language. It demonstrates techniques for downloading public information on the Covid-19 pandemic, as well as for a range of other social science subjects (e.g., crime data via the Police UK API, business information via the Companies House API). - -## Resources - -The webinars are published on the UK Data Service Youtube channel: [https://www.youtube.com/user/UKDATASERVICE/](https://www.youtube.com/user/UKDATASERVICE/) - -The slides and other resources (e.g., reading lists) can be found in the `webinars` folder. diff --git a/web-scraping/webinars/ukds-nfod-web-scraping-2020-03-27.pdf b/web-scraping/webinars/ukds-nfod-web-scraping-2020-03-27.pdf deleted file mode 100644 index 0db4930..0000000 Binary files a/web-scraping/webinars/ukds-nfod-web-scraping-2020-03-27.pdf and /dev/null differ