Dr Tamara Keszey is the Vice Rector for Research at Corvinus University of Budapest.

How does knowledge move, grow, and decay? At the Center for Collective Learning, we are interested in the growth and diffusion of knowledge, from countries entering new economic activities to researchers collaborating to produce the next generation of groundbreaking ideas. In this introduction, we will set the stage for the event, covering the story of how CCL arrived in Budapest, the team that is being formed, and the ideas that unite us.

Description text Despite global efforts to harmonize international trade statistics, our understanding about trade in digital products and its implications remains elusive. Here, we study five key aspects of trade in digital products by introducing a novel dataset on the exports and imports of digital products. First, we show that compared to trade in physical goods, the origin of digital products exports is more spatially concentrated. Second, we show that between 2016 and 2021 trade in digital products grew faster than physical trade, at an annualized growth rate of 20% compared to 6% for physical trade. Third, we show that trade in digital products is large enough to partly offset some important trade balance estimates, like the physical trade deficit of the United States. Fourth, we show that countries that have decoupled economic growth from greenhouse gas emissions have larger and faster growing exports in digital product sectors. Finally, we add digital products to measures of economic complexity, showing that digital products tend to rank high in terms of sophistication contributing positively to the complexity of digital exporters. These findings provide a novel lens to understand the impact of the digital sector in the evolving geography of global trade.goes here

Modern AI systems are capable of amazing feats because they can learn from a remarkable number of examples. Many of these examples come from open data on the web, but this is not an endless resource. In this talk I will show how AI systems are running out of new data to learn from and that widespread adoption of AI even decreases the amount of open data we create. This suggests that the very success of AI puts its future growth and sustainability at first.

Social networks facilitate information diffusion. The spread of ideas and knowledge through networks within and across cities help economic progress but unequal access to knowledge in fragmented networks can increase inequalities. In this talk, I will first demonstrate the role of social networks in the spatial diffusion of innovative products and the technological specialization of cities. Then, I will argue that increasing access between neighborhoods are important to help equality in urban networks.

Panelists:

Judit Piukovics, Formlabs
Réka Franciska Vas, Corvinus
Gergely Böszörményi Nagy, MOME

Moderator:
Cesar Hidalgo, CCL

Throughout the discussion, we'll explore the key factors contributing to Hungary's innovative prowess, the role of education and research, as well as the collaborative efforts of businesses, startups, and government initiatives. Our experts will share their insights on the challenges and opportunities in fostering innovation, and the impact it has on the nation's economic growth and competitiveness.

In today's digital age, sharing scientific knowledge online is essential for researchers seeking recognition. But does this digital frontier truly level the academic playing field for underrepresented scholars? Our research investigates the connection between online science sharing and citation impact, focusing on gender-diverse author teams. Our extensive study spans 14 research areas from 2013 to 2019, analyzing the relationship between online visibility, author team diversity, and citations while controlling for publication factors. Our key finding: Online science sharing reigns supreme as the top predictor of a paper's citations one year after publication. Digital platforms wield transformative influence in academia. However, beneath the surface, we uncover bias on social media. Gender-diverse teams receive less attention among articles with high online shares, revealing an alarming trend of gender diversity neglect. Yet, there's a glimmer of hope. Our models suggest that online visibility can help bridge the citation gap for gender-diverse teams, acting as a tool to mitigate disparities while highlighting ongoing gender inequality. In summary, our findings can reshape academic institutions' strategies for knowledge dissemination. By harnessing online sharing effectively, we can create a more equitable academic environment, ensuring that scholars from diverse backgrounds not only stay but thrive.

Negative relationships, such as dislike, conflict relations, or exclusion create liabilities for individuals in professional organizations. Being involved these relations in a workplace setting reduce performance, hinder progress, and lower satisfaction. In fact, the impact of negative ties on workplace outcomes appears to be much greater than that of positive ties.

In this presentation, we concentrate on gender differences in negative relations within a special segment, among Hungarian young academics. Academic world is a difficult track for young women, not only in Hungary. This is illustrated by the fact that despite the majority of doctoral students are women, among professors their share is less than 10%.

We analyze survey data from 2021, from a comprehensive online questionnaire, which was conducted among under-45 Hungarian academics and covers various aspects, including publication and application activities, income, job satisfaction, international mobility, and professional networks. We concentrate on the latter, specially on the number of positive (supportive) and negative (adversary) relationships reported by the researchers. The survey data is also linked to the Hungarian scientometric site’s data (number of articles, citations, co-author network characteristics), thus we can assess the respondents’ position within this network.

Our findings reveal significant gender differences in the relationship between negative ties and network structure. We find that women report significantly more adversary relations compared to male researchers. Moreover, we also find that being involved in these adversary relations are differently related to network characteristics. Male researchers have more conflicts, if they are more successful in scientific publications. Females, on the other hand, are more involved in conflicts if they are not so strongly integrated in their own communities, thus when they act as brokers between different communities.

The primarily ranking-based way we currently assess research performance might put misaligned pressure on academic institutions, and imbalance resources towards ones that reach a high score in a heavily emphasized, one-dimensional metric. We believe providing a platform to study the complex network of academic impact with transparent methods, based on open data, helps in matching researchers or students to institutions, optimizing resource allocation, finding patterns of behavior in academia, and facilitating collaboration. This talk showcases a tool designed to enhance the way we inspect and evaluate academic impact while presenting the motivation and benefits of resisting the urge to get it all down to one number.

In recent times, the quest for understanding the underlying factors that lead to success has received considerable attention. However, despite the growing literature on this subject, the domain of sports success remains to be fully explored. Specifically, the relationship between luck and sports performance is often overlooked. In this talk, we explore the components that shape success in two competitive sports, fencing and tennis. We delve into the intricate relationship between random events and personal abilities in knockout tournaments. Our approach employs novel models and data-driven analyses, a fusion of agent-based and network science techniques. Through this unique lens, we find that small fluctuations at the level of individual match points have the power to reverberate throughout an athlete's entire career, significantly impacting their professional trajectory and eventual success. Our results draw attention to a fundamental issue within sports, highlighting the inherent unfairness of the existing reward system.

As online information accumulates at an unprecedented rate, it is becoming increasingly important and difficult to navigate the web efficiently. To create an easily navigable cyberspace for individuals across different age groups, genders, and other characteristics, we first need to understand how they navigate the web differently. In this talk, we will present you an online experiment where participants played a navigation game on Wikipedia and filled in questionnaires about their personal information. Our analysis shows that participants’ navigation performance in the knowledge space declines with age and increases with foreign language skills. Using machine learning methods, we categorized the participants’ navigation routes and found that despite the large number of pages visited, there are two main strategies that led to success in our navigation tasks.