Isidora Bojkovska
Laxenburger Straße, 75/15
1100 Wien, Österreich
---
RESEARCH INTERESTS
I am an enthusiastic and inquisitive Master student in Cognitive Science,
with background in Psychology, who aspires to understand human social behavior by adopting an
interdisciplinary perspective. Specifically, I am interested in inter-individual & dyadic differences in
reward processing as it relates to attachment, decision-making, and behavior. Otherwise, I am in
possession of strong critical thinking and analytical skills. Additionally, I have experience in both assisting
and conducting quantitative and qualitative research. I also possess computer skills regarding data
analysis in R and SPSS with beginner skills in Python.
EDUCATION
2019 – present
Master of Science (MSc)
Middle European interdisciplinary Master’s programme in Cognitive Science (MEi: CogSci)
Wien Universität, Universitätsring 1, 1010 Wien, Österreich
Master Thesis (forthcoming): Understanding Social Reward: A Systematic Review of
Experimental Human Studies
Research skills: systematic review, implemented a clearly defined methodology for literature
search, study selection, data extraction, evidence appraisal and data synthesis
Statistical skills: utilized a mixed method, data-driven approach; cluster & network analysis to
extract higher order categories of social reward
GPA: 1.3 (out of 5.0)
2020 – 2021
Mobility Exchange Semester Abroad
Middle European interdisciplinary Master’s programme in Cognitive Science (MEi: CogSci)
University of Ljubljana, Kongresni trg 12, 1000 Ljubljana, Slovenia
Semester Project: Episodic and Semantic Specificity in Simulating the Decision to Procrastinate
Awarded Grade for Semester Project: 10.0 (out of 10.0)
Research skills: qualitative research, independently developed research design & adapted
methodology (i.e., Autobiographical Interview (AI) & Procrastination Questionnaire) to fit
study’s aims, independently conducted, transcribed & analyzed interviews following guidelines
Statistical skills: transforming qualitative into quantitative data by following the AI manual,
performed correlational analysis to determine relationship between interview & questionnaire
data
GPA: 10.0 (out of 10.0)
2014 – 2017
Bachelor of Science (BSc)
International Bachelor in Psychology (IBP)
Leiden University, Rapenburg 70, 2311 EZ Leiden, Netherlands
Bachelor Thesis: The Effects of Tyrosine Supplementation on Model-Based DecisionMaking
Awarded Grade for Bachelor Thesis: 8.5 (out of 10.0)
Research skills: participant recruitment; delivering instructions to participants in a double-blind,
within-subjects, behavioral design; data entry & cleaning
Statistical skills: descriptive analysis, bivariate statistics, linear regression
GPA: 8.10 (out of 10.0), graduated with cum laude distinction
RESEARCH EXPERIENCE
2020 – present
Graduate Research Intern
Silani lab, Liebiggasse 5, 1010 Wien, Österreich
• Co-ordinated data extraction research pair to ensure adherence to inclusion criteria and predefined methodology
• Implemented literature search, data extraction & statistical analyses as described above within
the frames of a larger lab project regarding social reward in both humans & animals
• Co-ordinated team performance during participant e-mail recruitment & monitoring concerning
an ecological momentary assessment (EMA) study on the psychological effects of COVID
2017 – 2017
Undergraduate Research Assistant
Colzato lab, Wassenaarseweg, 52 2333 AK Leiden, Netherlands
• Took part in conducting experimental pharmacological & behavioral research in cognitive
neuroscience
• Independently recruited & tested participants
• Delivered instructions to participants while testing
• Performed data entry & cleaning within the scope of multiple larger projects in the lab
OTHER WORK EXPERIENCE
2020 – 2021
Pedagogy Officer
Fatima Al-Fihri Open University, remote position
• Participated in a team effort for educational program design
• Reported findings in weekly pedagogical reports to help the university suggest new courses
2017 – 2019
Social Media Manager Freelancer
UpWork
• Developed communicational, organizational & leadership abilities
•
Planned social media schedules and managed communities on Facebook, Twitter & Instagram
CONFERENCE PRESENTATIONS
2021 (forthcoming). Bojkovska, Isidora. “Understanding Social Reward: A Systematic Review of Human
Studies.” MEi: CogSci Conference, online.
2020 (poster presentation). Bojkovska, Isidora. “Social Reward in Humans and Animals.” MEi: CogSci
Conference, Wien, Österreich, (online).
TECHNICAL SKILLS
Microsoft Office (advanced)
SPSS (advanced), R (intermediate), Python (beginner)
OTHER SKILLS
Public speaking & presenting
Data collection
Critical thinking
Data collection
LANGUAGES
Macedonian (native)
English (fluent; C2)
Spanish (intermediate; B1)
Serbian (fluent; C1)
German (learning)
Written communication
Data management
Multidisciplinary team collaboration
Data management