Alina (“Rory”) Lusebrink (per/they) is a Ph.D. student in Systems and Entrepreneurial Engineering and a SURGE Fellow.
Per is interested in the use of bioinspired materials in design and implementation to address climate change appropriately for distinct physical and societal landscapes. They are particularly focused on making sustainable change within communities.
Alina studied Materials Engineering and Spanish at California Polytechnic State University in San Luis Obispo. While there, they were discouraged by the lack of social justice drive from their peers, and they took a break from school to redefine their priorities. Per then spent 3 years organizing with Black-led and queer/trans abolitionist groups in the Sacramento area before returning to academia.
Lusebrink, R., Wooldridge, A. R., & Spiwak, M. (2021). Advancing Equitable and Just Practices in Human Factors and Ergonomics. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
Spiwak, M., Wooldridge, A. R., & Lusebrink, R. (2021). Broadening Diversity and Inclusivity in Human Factors and Ergonomics. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
B.S. in Materials Engineering, cum laude, California Polytechnic State University, San Luis Obispo, 2019
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Schedule 1: Survey Reporting and Deliverables Description
OTM Technology No. 2017-194, titled "Diagnostic Tool for Engineering
Effectiveness in Rural International Societies".
Creator: Ann-Perry Witmer
The Survey provides a list of 41 questions (rated on 5-point Likert scales)
to evaluate relative influences of critical non-engineering conditions and
guidelines for selection/implementation of technologies within a rural
society. The Survey identifies design and implementation strategies that
enhance engineered infrastructure sustainability and durability.
The following information is provided in the Report.
· Column 1 lists the five community influences most likely to affect
design, implementation and acceptance of an engineered infrastructure.
· Column 2 shows the raw scores of each influence for the community, based
upon scores You provided after observing Your client.
· Column 3 draws upon open and free data from World Bank database of World
Development Indicators. Where data are lacking for Your country, those
absences are not included in calculations. Religious composition is
evaluated using open and free Pew Research Center data.
· Column 4 provides a weighted, relative influence score for Your client
community, factoring in national norms to identify the conditions that most
strongly govern your client's approach to an engineered infrastructure.
The following information is also provided: Guidelines for interpreting the
high and low scores of the contextual influences, and Guidelines as to how
to approach the design of the engineering infrastructure.