# DS^2^F Day one
## 2019-01-17

Enter your name below:
### Megan Senseney
#### Goal: build sustainable fellowship program for expanding digital scholarship and data science across UA.

+ Collaborative resource sharing
+ OSF
+ Colleagues and collaborators
+ $$$

Jen Nichols-goal: support fellows in offering workshops that are helpful to others in the campus community.
+ listen and document
+ outreach and marketing

Sam Scovill-goal: To identify themes around non-profit work and political identity through the use of a qualitative data analysis program.
+ Atlas.ti
+ organize, code, and analyze a qualitative dataset
+ It looks like this program is available on library computers
1. finish my transcription
2. create a project
3. learn the different coding possibilities/types of analyses available in the program
4. import/upload my interviews
5. use inductive coding to create my codes
+ Dedoose
+ organize, code, and analyze a qualitative dataset
1. finish my transcription
2. create a project
3. learn the different coding possibilities/types of analyses available in the program
4. import/upload my interviews
5. learn how to use coding tools available in the program (inductive if possible)

+ JK Feedback: Maybe identify what types of analyses / tools you are looking for before learning program tools
+ Sabrina Feedback: Atlas.ti documentation, youtube official Atlas.ti videos and unofficial tutorials, more generally (not only on Atlas) on-campus classes on qualit data analysis?

### Mario Trejo: <!-- comment -->
#### Goal:To develop the skills necessary for a data visualization workshop, focused around health data.
+ R (ggplot?)
+ Summarize Data
+ Import data into R
+ Install necessary packages
+ Review syntax for changing output (options)
+ Inkscape
+ Edit R graphics
+ Import R graphics
+ Review Inkscape tools
+ Export high resolution graphics
+ Excel
+ Summarize data
+ Review syntax for summarizing data
+ Use drop down menus to develop graphics
+ Edit graphics
+ Use ribbon options to edit graphics
+ Feedback: I think you do a great job of giving specific methods and you have a clear overall goal, but it is maybe not as clear what the goal of each bulleted technology (e.g. R, Inkscape, etc.) is and how they interact with each other. Also, I'm not sure who the audience of your project is or the exigence for your project, so enumerating those details may be helpful. My overall impression thus far, though, is that you have experience working with various programs/coding/etc., so I'm excited to learn alongside you!
+ JK Resources: This might depend on your comfort / experience with R, but UA ResBaz is a nice resource for code help (i.e. Coffee and Code / Hackyhour). Also the data7 listserves can be useful for getting pointed in the right direction.

Sabrina Nardin
Goal: improve my webscraping skills (especially for newspaper articles) and learn how to teach webscrapig to others
Tools and what to do with them:
+ WEBSCRAPING TOOLS (python packages, hpc, maybe docker?)
+ scrape data from websites of interest
+ learn necessary packages and write script
+ every website has its own challanges: find solutions to them as they came out, and learn from them
+ I expect more challanges with javascript generated websites
+ perform data collection on hpc
+ connect to hpc run scripts there
+ integrate hpc and docker (i find docker confusing so that ll be a little challanging)
+ NB: Fernando Rios and Blake Joyce could both be helpful contacts on campus
+ perform data cleaning and data analysis
+ this step might require several more bullet points but it is outside this project which focuses on the data collection part
+ NB: OpenRefine is awesome for data cleaning, but the scale may be an issue here. Look into memory allocation options.
+ watch the tutorials and understand what the say
+ identify best tutorials out there
+ define where/when to stop with tutorial/interet sources
+ rely on the network
+ identify people and skills
+ Feedback: You might consider talking to Jenn Earl about newspaper data if you haven't already
+ identify what to ask
+ TEACHING TOOLS (jupyter notebook, github, blogs, what else?)
+ jupyter: to share scripts and deliver lecture
+ i am familiar with jupyter but never for teaching...
+ i guess enarlge my knowledge about tools to teach
+ for the online tutorial: idenify my platform, my audience, identify a possibile gap in information that my tutorial can fill
+ RESOURCES ON CAMPUS:
+ find people who do webscraping in python, especially for dynamic webscraping
+ hackyhour people told me they know people who could help
+ Python drop-in help Friday afternoons https://libcal.library.arizona.edu/calendar/catalyst/pythondropin
+ Programing Historian (https://programminghistorian.org/en/)
+ UA Coding Bootcamp (through Continuing & Professional Education)
+ Talk Python to Me podcast (https://talkpython.fm/)
+ Elizabeth Wickes Python Directory (https://elizabethwickes.com/pythonresources/)

Overall feedback: I think your goals and how you'll accomplish them are clear and well thought out. It seems like you have a solid plan of attack for this work.

Analeigh Horton - develop technology-based writing pedagogies
+ enhanced digital literacy - to help admins, instructors, and students better understand how technology can be implemented in course design and writing projects
+ Ask all Writing Program populations what they already know/want to know to create a specific set of goals that help within individual class periods as well as overall course goals
+ Better understand "the digital generation" and their capabilities, particularly with academic technologies and technological spaces/communities of practice/discourse communities
+ Writing Program
+ Gen Ed Initiative
+ DS2F
+ increased knowledge/awareness of various platforms and resources (e.g. things for notetaking, researching, designing, documenting, etc.) - to answer questions like this
+ Pair Writing Program SLOs (Student Learning Objectives) with various technologies and create guides for implementation
+ OIA (Office of Instruction & Assessment)
+ University Libraries
+ DS2F
+ cloud-based writing portfolios - compile multiple and lengthier projects into artifacts students can use in their professional and writing careers
+ Compare/contrast the strengths/weaknesses of various platforms from both instructor and student perspectives to curate a list of suggestions for instructors to use
+ Adobe specialists
+ Online writing specialists
+ DS2F
+ Reclaim hosting https://reclaimhosting.com/domain-of-ones-own/

Sabrina Feedback: very interesting project! I am curious to know more!
mine are more clarification questions bcs this is an area/topic I am not familiar with
cloud-based portoflios on specific topics or can they be on anything? will the goals vary accordingly?
will they also vary according to your audience?
restrict your goals to master a (limited) number of platforms, if appropriate?
the third goal ("enhanced digital literacy") seems already more articulated than the others, is this a matter of previous knowlesge?

Jonathan King - Familiarity with Docker / practice creating instructional materials for code / visualize spatial covariance

+ Docker - Ensure environment stability
+ Learn Docker workflow
+ Identify / upload package environment <!-- will anything need to exported-->
+ Matlab - plot interactive 4D maps
+ Identify useful functionality
+ Query potential users for desired methods <!--may be difficult to implement if the class is large-->
+ Build mapping package <!-- you may be able to break this down into chunks, do you need to upload a basemap first, etc-->
+ Github / Github sites - Provide code package / demos
+ Upload code
+ Plan key visuals
+ Identify key methods
+ Write demo
+ m_map - Basis for mapping
+ Extract shape files? OR
+ Write basic demo

+ Resources: Cyverse learning institute (Docker tutorial), this fellowship, Data7, ResBaz
+ Resources from Sam: It looks like there are a number of Youtube resources on Docker workflow and for MatLab from a quick search, sometimes these videos aren't good, but they can often be helpful

Yvonne Mery - goal: To teach others how to deliver kick-ass workshops
+ Video
+ F2F
+ activites
+ other fun things
+ what to do: teach well
+ Learning Outcomes:
+ Define and list Bloom's taxonomy
+ List the elements of a lesson plan
+ Create a mini-lesson plan
+

# Difficult Learning Experience

Sam
task: learning Stata programming for my master's paper and then re-learning for subsequent paper revisions on the master's in preparing it to submit for publication
+ This is still difficult for me, it's something that I easily fall out of practice with.
+ I hope that someday the paper will be published and it's a topic that I think is understudied and important.
+ In persisting I felt stronger and grew more confident in the paper. I felt that the statistics I was generating for the project were accurate and I was mitigating errors through closer coding and best practices in programming.
+ I feel like I'm not necessarily great at programming and need to look things up often, but I'm confident that I can write good code and now have an example of how to write a program in Stata using some best practices that I learned from my adviser throughout this process.

Jonathan - Learning to play piano
+ No longer difficult
+ Desire to play well, general personality?
+ Felt fine although sometimes tedious
+ Now I feel I can play well (but could always be better...)

Mario - Created a database for a study and did not correctly link the tables within the database.
+ This is no longer as difficult for me, but I do feel the need to review the relationships many more times than probably necessary.
+ I had no choice, but to re create the database correctly and re-enter a couple of hundred medical records.
+ It was a very embarassing mistake which set the project back about 2 weeks.
+ I'm now much better at creating these databases and am much more comfortable with them.

Analeigh's mistakes: I moved to Spain to teach English on a Fulbright fellowship, which had been an amazing goal to accomplish. The real feat was ahead of me, however, when my time living there was riddled with challenges, from being robbed to being accused of credit card fraud to landing in the emergency room three times with chronic tonsilitis to having to move to four different apartments. I was frequently asked why I hadn't yet quit and moved back home as challenge after challenge presented itself. I learned a ton, though, about traveling, finance, healthcare, and housing - all while doing it in a different language. It was an exceptionally difficult experience that left some scarred feelings about living abroad, but I continue to push myself to go, to teach - I most recently worked in China for a month while teaching at a university over the summer. Going abroad is still full of challenges, but with each misstep, I learn a new lesson, and continue to feel more empowered as a traveler and educator in foreign settings.

Sabrina:
task: learn object oriented programming in python
+ Yes, this task is still hard for me but i am better now
+ Although i understand its relevance to become a better programmer, in my regular work I can go by without it; but professors in classes i take use it, so basically this is what motivates me
+ I now know enough to understand and this is empowering bcs it allows me to build from that. However, I still make mistakes and I feel a little embarassed to ask. Avoidance/anxiety have keeping me good company in the past, so for me finding tricks to lower the stress has been the biggest help to tackle difficult tasks

### Jeff
Although a more general situation, I will make silly mistakes when writing R code, a language I've been using for 7+ years. Usually it is referring to parts of data that do not exist.

# Resources

## Software Downloads
https://it.arizona.edu/service/software-downloads
## Tech lending and local equipment
https://new.library.arizona.edu/visit/tech
## Librarians
https://new.library.arizona.edu/research/support

## Software Help
### R
R Programming Help:
https://new.library.arizona.edu/events/r-programming-help
### HackyHour
"Every week, researchers, data scientists, and programmers around campus get together. Some people bring their programming problems to get help from those with more experience. Those without projects come to discuss their research, brainstorm new ideas, try out new technologies, or chit chat about data science!""
https://datascience.arizona.edu/events/299-hacky-hour

Information on both Tuesday morning and Thursday afternoon sessions is availble at https://researchbazaar.arizona.edu/#portfolio