This section will review the best practices for creation, identification, protection, and transfer of results of intellectual activities. The section covers a wide range of IP objects, issues of commercialization of innovations and technology transfer, attainment of technological sovereignty, and patent analytics in the interests of small, middle, and large businesses and the state.

Партнер: Всемирная организация интеллектуальной собственности (ВОИС) служит интересам новаторов и авторов во всем мире, обеспечивая беспрепятственное продвижение их идей на рынок и улучшение качества жизни людей в любом уголке земного шара.

This section is dedicated to the 300th anniversary of the First Kamchatka Expedition under the command of Vitus Bering. One of the expedition's most important goals was to determine the easternmost borders of the Russian Empire, the riches of these lands, and to map the coastlines. Kamchatka is only the expedition's final destination, but along the way, the captain-commander and his crew traveled many roads and overcame various difficulties. We invite you to remember Vitus Bering himself, his crew, and their journey to Kamchatka. We invite students from various regions to participate and discuss how Vitus Bering and his crew were seen and remembered in your region, and how the memory of him and his explorations has been perpetuated.

The presentation should be up to 5 minutes long. The discussion time limit is 3 minutes. The presentation must be accompanied by visual aids (presentation, photos, or video).

Partner:

Federal State Budgetary Educational Institution of Higher Education "Vitus Bering Kamchatka State University" (Vitus Bering Kamchatka State University)

The challenges posed by our time require modern solutions. Managing cities, developing them, and controlling processes within them – these are the key challenges of today. Digitization can be one of the solutions. We invite students who are involved in the development of information technologies for urban planning and urban studies. The primary focus is on AI as an instrument of the near future.

This section is dedicated to research projects at various stages of implementation that utilize an interdisciplinary approach in the fields of chemistry and biotechnology. The presented projects may combine experimental research methods and computational modeling methods, as well as information technology tools. We invite Bachelor’s, Master’s, and PhD students involved in both fundamental and practice-oriented projects to participate.

ITMO University’s Infochemistry Scientific Center implements educational Bachelor’s and Master’s programs in which students are engaged in various scientific research projects and use information technology tools in a wide range of areas, including fundamental science, food technologies, agriculture, and oil refining.

We invite the students and young researchers of ITMO University to participate in an interdisciplinary section dedicated to scientific communication, health sciences, digital methods in humanities, science art, and product design. You will have the opportunity to showcase projects focused on building public trust in science, technology, medicine, and data-driven management decisions, as well as the production of such data through digital transformation and critical examination of the anthropocentric worldview..

We’re not ITMO’s resident humanities scholars; we’re specialists from various fields who work with science and technology, study and influence the public trust in these topics, and create useful and user-friendly solutions using methods from art, design, marketing, PR, programming, and product approaches. We study and promote evidence-based practices in science, technology, and medicine and work with diverse audiences.

Секция «Молодая медицина: технологии, интеллект, трансформация» объединит молодых исследователей, работающих на стыке медицины, искусственного интеллекта, биоинформатики, биофизики и инженерных технологий. Мы открыты для идей, в которых медицина взаимодействует с оптикой, данными, цифровыми платформами и новыми подходами к диагностике и лечению.

Эта секция вам подходит, если вы:

1. занимаетесь разработкой или применением интеллектуальных систем (ИИ, машинное обучение, биоинформатика) в медицинской практике или исследованиях;
2. исследуете возможности оптических и биофизических методов в медицинской диагностике, визуализации и терапии;
3. создаёте технологии и подходы для персонализированной медицины, цифрового здравоохранения и биомедицинской инженерии.

Мы приглашаем к участию студентов, бакалавров, магистрантов, ординаторов, аспирантов и молодых учёных, стремящихся трансформировать медицину с помощью науки и технологий.

Донецкий государственный медицинский университет имени М. Горького

Забайкальская краевая клиническая больница

The section Molecular Biology and Biotechnology is intended for researchers working in the fields of molecular diagnostics, medical therapy, bioengineering, and biomedicine. We bring together specialists who prioritize innovation and new discoveries in molecular biology and biotech. This section is for you if you:

1. Conduct research based on fundamental principles of molecular biology, biochemistry, or genetics;
2. Develop new technologies, devices, or medicines for biomedical application and which are based on expertise in microbiology, genetic engineering, and nanotechnologies.

We welcome Bachelor’s, Master’s, and PhD students along with other young scientists.

• You will learn to create, adapt, and apply AI and data analysis algorithms to various subject areas.
• Explore advanced methods of machine learning, storage and processing of structured and unstructured data, intelligent text analysis, and computer vision.
• We will not limit ourselves to theory: you will also solve practical problems in deep learning, image processing, and text-based natural language processing.
• Our students take part in research and development projects in the field of computer vision together with industrial partners (NPP Videomix, PostgresPro, Data Analysis School, VTB, YaDro).

Partner:

RPE Videomix is the only company in Russia that develops hardware-software suites in the field of biometric video analytics. The products are aimed at providing decision support to specialists in various applied fields. These unique systems allow for the assessment of human behavioral reactions, identification of individuals with deviant behavior, evaluation of a person's psycho-emotional state, and completion of other relevant tasks in the field of biometric video analytics.

This section is dedicated to projects in the field of optoelectronic instrumentation, as well as the calculation and modeling of the operation of devices used to solve practical problems in various fields of science and technology. The development of such devices typically relies on knowledge from many areas: fundamental physics, spectral analysis, computational optics, the theory of optical radiation sources and receivers, and signal detection and processing.

We invite everyone who wishes to share their ideas and represent their teams working in the following areas:

• imaging optics
• illumination optics
• spectral instruments
• laser optics
• sources and receivers for optical devices
• space optics and optics for flying vehicles
• design of optical and optoelectronic devices and instruments
• data acquisition and processing in optoelectronic devices

We invite you to join the section Modern Laser Technologies in Industry, Sciences, and Biomedicine – here, young researchers can take a deep-dive into the fascinating realm of innovation and applications of laser radiation. This section will be a unique opportunity to exchange knowledge and experience; the participants will get to showcase their research, inventions, and teaching practices relevant to the field. We’ll discuss current trends in laser physics and their application in medicine, industry, and research. Join us to get inspired, find new connections, and make your contribution toward the future of laser technologies!

We invite young scientists to showcase their work in the field of machine vision! Both students and industry professionals are welcome to share their experiences, results, and plans.

Our section’s partners are LLC Special Technology Center (LLC STC) and Joint Stock Company United Metallurgical Company (JSC OMK). A presentation contest will be held in nominations curated by our partners.

This section focuses on contemporary interdisciplinary research in the fields of technological management and innovation. We welcome researchers who study society/technology/innovation/economics in the context of modern challenges. Participants may present results of both applied empirical and theoretical studies or discuss their methodological aspects.

ITMO’s Faculty of Technological Management and Innovations is a leader in technological management and innovative entrepreneurship. It is home to a unique community that sets the direction for management education, creates trends within the startup community, and fosters collaboration between science, business, and education in Russia.

Partner:

AlterEconomics

AlterEconomics – научный журнал (входит в Перечень ВАК, К1), освещающий альтернативные подходы в экономике, включая:

• гетеродоксальные направления
• междисциплинарные исследования на стыке с социологией
• культурологию
• политологию
• и другие науки

Журнал публикует:

1. оригинальные исследовательские статьи
2. научные обзоры
3. рецензии
4. краткие сообщения

Публикации осуществляются на русском и английском языках.

Пермский филиал Института экономики Уральского отделения РАН

Направления исследований:

• управление предприятиями и отраслями в условиях конкуренции
• развитие регионального социального капитала
• изучение агропромышленного комплекса
• социально-экономическое развитие сельских территорий

Дополнительные направления:

Филиал разрабатывает методы оптимизации стратегического и оперативного управления промышленными бизнес-процессами.

Результаты исследований публикуются в ведущих рецензируемых изданиях, а отдельные наработки получают признание на международных научных мероприятиях.

РАНХиГС: Факультет менеджмента и инноватики

Готовит инженеров-управленцев с сильной экономической подготовкой.

Программа включает:

• международный менеджмент
• маркетинг
• управление проектами

Партнеры программы:

• Агентство стратегических инициатив (АСИ)
• Министерство промышленности и торговли РФ
• Российский союз промышленников и предпринимателей
• Торгово-промышленная палата

На факультете работает авторский бизнес-симулятор «Управление корпорацией», где студенты в режиме реального времени оттачивают управленческие навыки.

ВШМ СПбГУ: Центр исследования рыночной эффективности и прикладных финансов

Центр специализируется на исследованиях в области финансов, включая:

• цифровизацию
• ESG-трансформацию
• рыночную эффективность

Задачи Центра:

1. Академические и прикладные исследования мирового уровня.
2. Консалтинг и образовательные программы (включая курсы по AI и современной эконометрике).
3. Развитие научного потенциала: работа с аспирантами и молодыми учеными.

This section seeks submissions that explore the transformative impact of data-driven approaches on product development strategies. Researchers are encouraged to present empirical findings, innovative methodologies, and case studies that demonstrate the effective use of data analytics in refining Minimum Viable Products (MVPs), optimizing Customer Journey Mapping (CJM), and strategically assessing market opportunities such as Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM). Contributions should highlight how data insights are driving informed decision-making, accelerating time-to-market, and enhancing customer satisfaction in contemporary product management practices.

SKB Kontur is one of the largest Russian developers of business software. The company’s ecosystem includes solutions for digital bookkeeping, online accounting, digital workflow, categorization, inventory-keeping, cash transactions, contractor lookup, information security, and digital signatures. Products created by Kontur cover the key stages of client work and are focused on data: from analysis of customer scenarios to market launch of MVPs. The company’s practices demonstrate how the use of CJM, TAM/SAM/SOM, and customer behavior makes it possible to match products with the market, accelerate the time-to-market, and boost customer satisfaction..

This section invites contributions that explore the evolving landscape of consumer behaviour research, highlighting the transition from traditional theoretical models to contemporary, data-driven, and computational approaches. We welcome studies that build upon or challenge established frameworks (such as the Theory of Planned Behaviour, the Technology Acceptance Model, or the Hierarchy of Effects model) by integrating new methods, including text mining, machine learning, sentiment analysis, social media analytics, and experimental designs in digital environments. We particularly encourage submissions that address the role of user-generated content (UGC), online reviews, and digital interactions in shaping consumer decisions, emotions, and value perceptions. Cross-platform and cross-industry analyses, case studies, and methodological innovations are also welcome. The section aims to foster dialogue between theory and practice by showcasing how advanced analytics and interdisciplinary methods can deepen our understanding of consumers in increasingly digital and connected markets.

Принимаются доклады, посвященные исследованиям полупроводниковых, диэлектрических и металлических наноструктур, а также гибридных наносистем на их основе, включая проблемы синтеза и создания, взаимодействия с электрическими, магнитными и электромагнитными полями, вопросы теоретического описания физических свойств, способы локализации и исследования динамики отдельных наночастиц и их ансамблей, применение наносистем в фотовальтаике, левитирующей оптомеханике, квантовых технологиях и биомедицине.

Modern achievements in the field of artificial intelligence have allowed us to reach highly promising results in biology, medicine, and chemometrics. In this context, machine learning has proved to be a powerful tool in acquiring a new perspective on biological and medical data, as well as in accomplishing various goals and discovering alternative methods of automating complex biomedical and bioengineering tasks. The primary focus of this section is on: the application of information technologies to accomplish tasks in biology and medicine; achievements in molecular modeling, bioinformatics, and chemometrics; aspects of the use of AI, machine learning, and computer modeling in breakthrough projects within the aforementioned fields.

This section provides a comprehensive analysis of the ongoing transformations in linguistics, translation studies, and linguistic pedagogics under the influence of digital technologies.

The scope of focus includes the following questions and subjects:

1. How do AI and LLMs affect linguistics, translation, and language teaching?
2. New text analysis methods: from digital corpora to automated natural language processing;
3. Pedagogical strategies in the era of machine translation and ChatGPT;
4. Changes in the role of a translator and localization specialist in the context of automation;
5. Ethical and epistemological challenges: who “controls” language – human or algorithm?

The section’s key topics are:

• Theoretical and methodological research: philosophy of language in the digital age, corpus linguistics and big data, linguistic expertise of AI-generated texts;
• Applied aspects: cases of AI integration in professional activities, digital tools in linguistic education, overview of CAT tools;
• Pedagogical aspects: new requirements for professional competencies, training of translators in a time of CAT and neural networks, fostering of digital competencies among linguists;
• Interdisciplinary studies: sociolinguistic aspects of digital communication, psycholinguistic effects of interaction with language models, legal and ethical aspects of AI use in linguistics.

At the foresight session of the Student Research Association (SRA), we will focus on three key areas: student motivation, mentoring, and the development of SRA. We will discuss methods of increasing student engagement and interest in scientific activities, as well as the best mentoring practices to support their growth. Additionally, we will explore strategic development paths for the SRA with the goal of strengthening and expanding its role in the educational process.

The Student Research Association of ITMO is a voluntary association of students involved in scientific research, innovation, and educational activities within the university.
We believe that the exchange of ideas fosters a broader and deeper understanding of scientific subjects across various disciplines.
Our goal is to assist students in developing the professional skills necessary for a successful scientific career.

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