Alian Kasabian

Alian Kasabian

Contact Alian

Location: WHIT 370D

Lincoln NE 68583-0866

Phone:  402-472-6145 On campus, dial 2-6145

Email

Alian Kasabian

DIRECTOR OF MERC + RESEARCH AND DATA SECURITY LIAISON

Alian is a self-proclaimed data nerd, which comes from a lifetime of curiosity and the extensive training she received getting a PhD from UNL in Sociology with a minor in Survey Research and Methodology. Alian has worked for MERC since 2015 before becoming Assistant Director in 2018 and then Director in 2019. In this position, she provides oversight for the 45-60 active projects MERC has at any given time. Since taking on the role of Research and Data Security Liaison, Alian tries very hard to delegate as much as possible to her Associate Director and staff.

Alian is passionate about helping people understand data and use it responsibly. To these goals, she advocates for:

  • Ethical data collection that meet the needs of the project and target population and reduces the burden on participants
  • Reproducible and transparent data management practices
  • Data sharing and security processes that protect the providers of the data
  • Writing for a general audience

All of these continue to be a work in progress. Alian is also a member of the UNL Institutional Review Board, and is on the Metrics and Accountability Subcommittee for the Inclusion and Equity Committee of the American Association for Public Opinion Research.

Expertise

Survey
Methodology
Quantitative
Methods
Research
Data Security

Get to know Alian!

What brought you to MERC?

I was a PhD student and considering my options for after I graduated, and my dissertation chair asked if I had considered evaluation. I knew nothing about it as a career, and I connected with the then director of what would become MERC. I interned for them in 2014, and then asked if they had summer work the following year as I was finishing my degree. Summer work became permanent work, and I’m still here!

What are you most passionate about in this field?

Helping people understand data. Our writing about research and data is very often inaccessible beyond a narrow audience, and it doesn’t have to be that way. The best writing about complex ideas is writing that everyone can understand. That includes using data visualizations like graphs, figures, and data callouts to help increase understanding. 

What topic could you talk enthusiastically about for hours?

Non-work related, books. And roadtrips. Work related – the importance of representation in data collection.