I think I understood the nuances of dealing with complexity.
I had a lot to say. And this is by far my most procrastinated task. And I would explain my journey of the things I learned in the words that I can try, along with my document of procrastination, knowing that I’ll laugh someday or judge myself in the future when I’m wiser. I’m glad you’re here and find this of interest. May these words help my design process become. (better/grow)
I’m pursuing Human-Centered Design from Srishti Institute of Art, Design and Technology, 21 years old, a deductionist of decisions. I have liked Science, Economics, and Math in school but my grades let me believe I couldn’t pursue engineering (the working of all fascinating digital devices making decisions around me), that it would not make sense to me, and that there are wiser and smarter people out there more equipped for the job. I let that lead me to design, and I’m so glad about this journey. I switched two majors within Design to find steadiness and growth in Human-Centered Design. I believe that somewhere along the way, that fear of knowing not enough science and not retaining enough theory, to contribute to the field of technology has lingered and hindered my confidence a lot of times. But even so, the problems I find myself most curious about lie in the same domain. Fun!
Winter 2018, when it was time to apply for internships, I found myself unhappy with the traditional UX-UI work people were pursuing and calling for in the industry. The options available involving screen interfaces didn’t feel like something I wanted to engage with. I wanted to learn more theory, engage with the UX problem of rapidly-growing emerging technologies consistently shifting people’s lives and perspectives so invisibly. That’s where I wanted to apply UX. On 15th April 2019, to my surprise, while I could only put the previous sentences together to explain what I wanted to work with, I was offered an internship with Mathscapes Research, and I am very grateful for the same. Thank you Capt Mashes! Before then, the decision to pursue research for Machine Learning felt all out of my reach, similar to school, having me feel that I probably cannot.
Calling this section: Poorly generalized conclusions that dishearten the real quest for knowledge, because hereafter, I observed where things weren’t working, calling for a lot of shifts in perspective.
Simran Singh is a human-centered design student pursuing her undergraduate degree at Srishti, Bangalore at the time of writing this. She identifies herself as an analytical-dreamer, her work focuses on understanding the use-cases of emerging technologies and applying it in a user-friendly context. She sees value in algorithmic thinking to help understand, decode and apply at the design context.
Full report is available as PDF book on request.