# Research Project

## <span style="color:red">Updates</span>
* presentations for the final project should take a **maximum of 12 minutes**.
* you should **upload the final project document** (covering the 5 questions) **to blackboard** in the same place as the mini-projects. There is no required lenght for this document, but around 10 pages are recommended.
* The **deadline for uploading the document is Dec 2 before midnight** (remember this is is not meant to be a full essay format, just be sure to address the questions. You may put more attention to a particular one, of course, depending on your approach).
* When you upload the project, **please use Group NUMBER** (and optionally, also group name) as the title of your post. As in "Group 14 - the bois"

## Research Project information

* This is a group project. It works in a similar way to the mini-projects, but has a longer scope and demands.
* You are expected to use the TCAT (see below) as your main anchor for your research project. This will provide you with a considerable amount of data within a relatively constrained topic.
* **Your project should consider the literature used in the course**. While the approach is mainly methodological, please add any concepts and references related to your work.
* **You should also use other tools and sources seen during the course**, and you are free to use your own collected data to compare, contrast or complement your research project.
* You **don’t need to limit yourselves to digital or quantitative data**. The use of non-digital sources (e.g. interviews), and qualitative close reading (e.g. focusing on a sample of comments) is highly encouraged.
* The general topic for the database is *climate change* (remember and consider that this databse is formed with "climatechange" "climateemergency" and "climatecrisis"). You have plenty of freedom on what aspect you want to choose to focus in. **Remember that you can look at actors, language use, perceptions, images, networks, news and media, discursive topics, issues and controversies, etc**.
* You will have the rest of the term to work on your project
* Look at the 5 questions that **must** be addressed in your final project.

## Basic 5

#### 1. WHAT (and/or WHO)?
This is your research question(s). What do we *want* to know?, what *can* we know?
* What is the general topic that you'll be addressing? Does it involve an industry? A platform? A social issue? What is the context? A Too vague question may not be answerable. Too specific a question might not be answerable with your data. Try first to define what are that you're interested in. Then narrow a question from ther (This question will keep evolving during your research project).
* Which are the actors involved in your research? Who is made visible? Which actors are "powerful" or "empowered" by the processes you are following? In which specific terms are your defining power? Or how does a notion of power is expressed within your research?
Regarding your man topic, who benefits from a) your methodology, or b) the ideologies related to your topic? Who designed the tools you are using? Who has access to the data you are working with? What kind of information or other phenomena counts as data in this context?

#### 2. WHY?
Why is the question relevant? Has no one asked this? If so, why is this question still relevant, why are previous answers not satisfactory? What does the answer could change?

**Recommended search engines for literature (in no specific order):**
* Web of Science/Knowledge https://apps.webofknowledge.com/
* Google Scholar: https://scholar.google.com/
* Science Direct https://www.sciencedirect.com/
* Frontiers https://www.frontiersin.org/

#### 3. HOW?
Which kind of data/information do you require? How is this formulated/answerable by the data? Here note down the steps you'll follow to answer the question methodologically (e.g. how did you come up with a website to scrape? How did you selected the source of data? Which recipes did you use to cook your data?)

#### 4. WHY THE HOW?
Why did you choose your specific methodology? What is the logic behind the method? How does the method relates to the question, issues, and actors involved in you research?

#### 5. WHAT NOT?
What do you think is not answerable with your design? Are some parts of your question unanswerable? What is an obvious limitation of your design? What is "out" of data? What is missing from our overview? It missing because it was not included in our sources, because it can be easily adapted to our formats, because it was not evident, or because it is impossible to capture?

Remember to **consider the ethical issues** that your project may rise.

The written part will be uploaded to Blackboard in the same way as the mini-projects. **The Final project will be presented on the final week of our course. You will have 15 minutes** for presenting the work. It is likely that we'll have some guests for the Q&A.

The work you make as a group in the final project will be part of your final individual exam.

## TCAT

* API based
* Built by keywords OR geolocations
* Can be thoroughly queried (if you have a complicated query on a big bin, it will take some time)
* Different data and formats can be exported from it (depending on the amount of data and the bin size, this process may take some time)

TCAT bins
1. **NOMOS**: Names bin (Ds19cc_nomos)
(Keywords: "climatechange", "climatecrisis", climateemergency")

2. **GEO**: Aarhus geolocated (IP-strict) bin (DS19_cc_GEO_Aarhus)

## FAQ

*If you have questions, you can highlight and "comment" this document. We'll reply and add them to this FAQ. You can also send an email to any of the instructors.*