The project activity is one of the main elements of the Master's program at the Higher School of Economics since 2018.
Project activities are monitored and regulated by the academic supervisor and the academic council of the program.
Students of the program can choose among projects from those placed on the program's website only.
All projects are offered by professors and researchers of the program and are approved by the academic council of the program.
Students also have the opportunity to suggest a project themselves. In this case, the project should be reviewed by the academic council of the program. If approved, the project can then be chosen by the student.
The project can be implemented throughout the study year or be performed in a limited time period. The project is implemented at the 1st and 2nd year of the master's program.
The project is 4 credits, 2 credits (76 academic hours) for each academic year.
A student should submit an application with the name of project and the signature of the professor to the program academic supervisor at the beginning of study year until October 15th.
For the Program (contact Oksana Zinchenko):
- Managing the program site (adding new information, photos, videos, news, announcements, editing information on pages) - 2 students.
- Managing the program pages in social networking sites: VK, FB and so on (adding new information, photos, videos, news, announces, editing information on pages) – 2 students.
- Recording and editing videos introducing the program. Photo and video reports about life of the program. Help with recording of program events - up to 3 students.
- Organization of formal events (open lectures, seminars, open days) and unformal parties of the program – up to 4 students.
- Program promotion - 4 students (advertising the program in social networking sites, to share posters, to share some information about the program).
- Designing posters, booklets, pages of the program – 2 students.
- Holding interviews with students, graduates, professors of the program – 2 students.
- Participating in psychophysiological and neuroscientific experiments (at least 7 experiments in our laboratories).
For the Neuropsylab (contact Marie Arsalidou, firstname.lastname@example.org):
- Prepare material and communicate research activities with the public.
- Administrate public webinar activities.
- Marking exams for undergraduate courses.
- Data entry and scoring.
The Laboratory of Cognitive psychophysiology (contact Boris Chernyshev, email@example.com):
- Help with management of the laboratory.
- Help with maintenance of the laboratory website.
- Help with experimental work and data analysis in the laboratory.
For Tadamasa Sawada (firstname.lastname@example.org):
- Translating some Russian scientific papers into English.
- Building a visual illusion demo (some basic hand craft skill required).
For Vision Modelling Laboratory (Joe MaсInnes, email@example.com):
- Assistant to the lab manager. Various tasks including translating lab document and filling administrative forms for the lab.
- Lab media. Gather photo, video and promotional material to advertise the lab on various sites.
For Beatriz Bermúdez-Margaretto (firstname.lastname@example.org):
- Proofreading /Translation of experiment materials and application documents for Russian grants into Russian language.
- Contact and recruitment of Russian participants for experiments and assistance with language during experiments (online translation from English to Russian).
For the TMS Laboratory (Matteo Feurra, email@example.com):
- Organisation of the TMS school in November and in April – 2-3 students.
- Recruitment of subjects for experiments (possibly 2 students that optimise a social network system, e.g FB, VK).
- Optimisation of our CDM MRI scans database.
For Dmitry Lusin (firstname.lastname@example.org):
- Recruitment of subjects for experiments.
For Neural Theory group (contact Denis Zakharov, email@example.com)
1. Translation of grant materials into Russian.
2.Assistance with masters projects: administration of participants.
For Laboratory for the Cognitive Psychology of Digital Interface Users (contact Elena Gorbunova, firstname.lastname@example.org)
1. SMM of the web site and VK page of the lab (https://vk.com/hseuxlab).
2.Recruitment of subjects for experiments.
3.Assistant to the lab manager.
For Beatriz Martín Luengo (email@example.com):
1. Recruitment and data collection of participants.
2. Assistance in piloting new experiments.
3. Help preprocessing MEG data.
4. Compilation, search and up-date, of relevant seminars, conferences, intensive courses, etc. in topics such as: metacognition, language, eyewitness testimony, MNE-python, MEG research.
Projects from the Center of Bioelectric Interfaces, supervisor A. Ossadtchi
- Help maintain the News section (Eng and Ru) of the CBI's webpages (1 person).
- Help with cleaning EEG and MEG data from artifacts using MNE-Python based and proprietary tools (1 person).
- Help in git-hub based maintenance of the developed code (1 person).
- Help with organizing mini-conference “Functional neuroimaging: recording technologies and data analysis methods” 17-18 Oct (2 persons).
- Help in preparing recording and teleconferencing equipment during biweekly CBI seminar series Fide sed cui fidas vide (1 person).
- Help in the EEG Lab of the center during the experiments on neurofeedback, meditation and BCI (1 person).
- Help with preparing patent claims (1 person).
- Help with statistical analysis of the data and data analysis pipelines development.
1. Organization of the conference MEG NORD 2020 (Preparation and management of the conference website and other organizational aspects. Estimated workload: 2 hours per week till May 2020).
Projects from Maria Herrojo Ruiz (Neurodynamics Group, MEG: M.Herrojo-Ruiz@gold.ac.uk )
1. Help create content for a website on Computational Cognitive Neuroscience.
2. Make a literature review and summary on oscillations and autism spectrum disorder at rest and during task performance.
3. Make a literature review and summary on music as a reward stimulus for learning, with studies similar to: "Musical reward prediction errors engage the nucleus accumbens and motivate learning", Gold et al., PNAS, 2019.