Tag: PhD (Page 3 of 3)

Grad Student Workflow, Part 2

As I mentioned in Part 1 last week, I will be going over my various methods for managing my workflow. Today, I will be discussing general task management.

Task Management

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First, I will start discussing my workflow with the tricky topic of task management. I’m starting here because my task management system is fairly easy in comparison to some of my other workflow mechanisms.

My tasks can be broken down into Work and Personal. I will discuss my Work tasks here even though I generally use the same exact system for Personal tasks as well (because it’s all about keeping myself sane). Work tasks are then broken down into their various categories: general, PhD milestones, reading, writing, research (which is broken down by project). You can see these listed as “Projects” in Todoist below.

Work tasks broken down into their subcategories.

Work tasks broken down into their subcategories in Todoist.

For task management I use Todoist. I have tried several different to do list apps over the last few years and Todoist works the best given my needs. It meshes well with my other tools, is robust, and very flexible. It also has the added benefit of being somewhat reinforcing with its fun “karma points.”

Todoist is great because it lets you write out your task such as “write 1500 words every weekday” and it will figure out when the next time you need to complete the task is. You can read about other cool ways to use Todoist here and here.

Tasks for me, once divided into their subcategories, fit into a few different molds: one-off tasks, repeating tasks, and floating tasks.

First are the one-off tasks. These are things I only have to do once and then they are done. These are easy to just go to Todoist and say “write final paper for Inf 232 March 14.”

Second are the repeating tasks. These include my daily reading and writing (self-imposed) requirements, among other things. For example, “1500 words very weekday.” This would also include my meetings and classes. For example, “lab meeting every Monday until June 9” or “send weekly update every Monday noon.” And yes, I include everything as a to do item on my list – tasks, drafts, things I have read, meetings, and so on.

These first two task types (the one-off and the repeating) then appear on my daily or 7 day task list. I can see them coming or I see them as past due if I missed something. I use this extensively in my daily routine. This is how everything gets done and I stay on track. I even include tasks such as “update blog every Thursday” and “clean out email inbox every Friday” just to keep up with the things I normally put off as unimportant (and, therefore, never get done).

Third are the tasks that do not strictly have a due date. These floating tasks are more likely to be things such as my reading list or writing ideas. My reading list is just a list of things I plan on reading (soon). I add to it as new articles come across my Google filters or my advisor suggests an article. Writing ideas are just brief thoughts about things I might want to write about at some point. They are good for the days I have writers block and I can’t think of what to write. I include all kinds of things in this list including blog ideas, thoughts about my research, potential future articles to flesh out for a conference or journal, even things that might evolve later into new research or my dissertation. I also keep a floating task list of things I need to discuss with my advisor. That way, I can just pull up my “Meeting with my Advisor” list and check things off as I go over them with her.

I keep my 7 day task list at hand on my phone, so I can check things off on the go:

Task list on hand on my phone for tasks with upcoming due dates.

Task list on hand on my phone for tasks with upcoming due dates.

That sums up my basic task management. Next week, in Part 3, I will discuss how I manage my readings and citations.

Grad Student Workflow, Part 1

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I was recently incapacitated by whatever illness was going around campus and when the fog finally lifted I finally appreciated how productive I am on a daily basis. It was time to triage my to do list and I knew some things were just not going to get done when I wanted them to be. However, since my maternity leave 6 months ago, I have been spending quite a bit of time working on my workflow, so things weren’t as dire as they could have been.

What do I mean by workflow? I mean the tools and procedures I have put in place to make sure that my project gets done in a timely, efficient manner. My project in this case is my PhD. And seeing as ‘project PhD’ is HUGE, I knew I wanted to get these things in place before I really start working on my proposal this summer and dissertation shortly thereafter. What this means is I do the following things (and what’s not on this list is be Mom to an energetic, mobile-enough 6-month-old):

  • reading (a lot of reading)
  • research, including, but not limited to:
    • building software/hardware
    • interviews
    • user testing/deployments
    • observations (both in the physical world and virtually)
    • collecting lots and lots of data
  • service such as reviewing other papers, mentoring students, and helping with the graduate student association
  • writing (a lot of writing)

So, in order to stay sane and get everything done, I’ve been devising a way to automate some of my to do list and task and streamlining everything as much as possible. Some of the tools I use are: Google Calendar, Evernote, Dropbox, NVivo, Todoist, Slack, IFTTT, and Scrivener. I will be going over how I use each of these in detail over the next several blogs. They will be roughly in the following order (to be updated with links as they are posted):

  1. Task Management – Part 2
  2. Reading – Part 3
  3. Writing – Part 4, Part 5, Part 6
  4. Data Collection and Management
  5. Emails

Diversity

A handful of experiences and people helped to transform me from a lost undergraduate who was thinking of dropping out, to a successful, ambitious graduate student. I struggled for many years as an underrepresented student, both as a woman and as a student with a disability, to complete my undergraduate degree and find my niche in the world. Now, not only do I want to make a career of researching assistive technology, I also want to be a mentor for those who follow me, just as I had mentors to guide my way.

As the only woman in my undergraduate computing classes, I faced adversity and isolation. I sought support and attended the Grace Hopper Celebration of Women in Computing Conference (GHC). Upon learning that I was one of many women facing isolation in their computing courses, I founded an ACM-W Chapter for women in computing at Washington State University Vancouver (WSUV). I felt the need to create greater participation of college women in computing, a support network for them, and a way to mentor freshmen and high school girls. As the chair of the chapter for the first year, I planned a campus-wide event to encourage women to pursue computing careers and spoke at a panel discussion. The event hosted 40 women from campus and the local community and received very positive feedback. The women from the community college who had not considered pursuing a four-year degree until they heard our panel inspired me. I have continued to mentor one young woman who is now pursuing her undergraduate degree in computer science and intends to continue on to graduate school.

On my graduate school campus, University of California Irvine (UCI), I am involved in a similar group: Women in Information and Computer Sciences (WICS). I volunteered with WICS in summer 2013 to mentor middle and high school girls interested in computing. In fall 2013, I also helped start a graduate chapter of this group. As a graduate student representative for UCI, I attended GHC 2014 as a student volunteer. My connections with these groups led me to other opportunities, such as conducting research and presenting at two academic conferences, as well as mentoring underrepresented undergraduates.

Through my experiences with the women in computing groups, I have realized how important mentorship is for those in the early stages of their careers. Through teaching and mentoring, I have been able to ignite my passion for helping others through research with students and also pass along valuable skills that they will use in their future studies. During my first year as a graduate student, I led a diverse team of undergraduates, all of whom are underrepresented minorities, in the development of a whole-body interface application on the Microsoft Kinect for children with autism. I encouraged my team to work together to solve problems and learn how to collaborate effectively. I also coached them in giving a presentation to the lab about their work. Continuing this project, I have expanded the scope of the software, and have begun working with a professor from the Dance Department to create new avenues of therapy for children with autism. One of the undergraduates I mentored has since graduated with a B.S. in Informatics and is now applying to graduate school.

In an effort to serve my local community, I volunteer as an instructor for technology use workshops for young adults with autism who are transitioning into the workplace from high school. In a more formal setting, I have also had the opportunity to be a teaching assistant for undergraduate level courses. As part of my responsibilities, I have worked with students one-on-one, as well as leading discussion sections of more than 40 students. In addition to regular discussion lectures, I also gave a guest lecture to the entire class of 250 students. Knowing the importance of mentorship for undergraduates, these varied teaching experiences increase my desire to seek a position that allows me to continue mentorship my PhD.

Because It’s a FAQ…

I just wanted to write a short blog entry about this whole “grad school” thing because I’ve been getting some questions about what exactly it is I’ll be doing in the next few months.

This fall I’ll start towards my PhD in Informatics from the University of California Irvine. My research area is in Assistive Technology and I think I’ll be doing my work in the area of tech helping kids with Autism and chronic illness. I really won’t know my research space until I get into the work and get a feel for what I’m doing.

The way grad school works, at least in the field of tech and computer science, is that when a school offers you acceptance there is usually some sort of funding package that comes along with it. For instance, a lot of schools will offer 3 years of funding, which usually covers tuition and then gives you a monthly stipend. In order to earn that monthly stipend, depending on the school, of course, you work 20 hours a week doing research or TAing. In my case, I’ll be expected to TA one year and then do research projects for the remaining time in the program. After you second year or so, you have usually settled on an advisor and a research path and can start getting grants for the work you are doing. This will be in lieu of “working” for the department. I have been getting some questions as to how I’m going to live while getting my PhD and there is the answer: I’ll be getting paid to do it. Yes, it won’t be as much money as I could be making as a programmer straight out of my bachelor’s degree, but if I wanted to be a programmer, I wouldn’t be going to grad school. I’ll still be making way more money than I’m currently earning, and I guess that’s the perspective I’m going in with. I’ll be quite comfortable with what I have.

I’m going to grad school because I love doing the research. This is what I learned from completing my DREU at UMBC last summer. That really was the one of the best experiences I have ever had in terms of my own personal growth. At this point in time, I haven’t really thought PAST earning my PhD; it’s be a long road just to get this far. I’m sure that in due course, it will become apparent where I want to pursue my career, whether it is in industry or academia.

Do feel free to email me if this didn’t clear things up for you. I’m quite happy to talk about all the in’s an out’s! =D

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