2,835 research outputs found
Igor Evstigneev Interview August 4, 1989
No full textNOTE: to view these items please visit http://dynkincollection.library.cornell.eduInterview conducted by Eugene Dynkin with Igor Evstigneev on August 4, 1989 in Ithaca, New York
Data and platform co-ops in smart city citizenship: interview with Igor Calzada
No full textIgor Calzada is a senior researcher at universities like Oxford and Cardiff with a focus on urban, regional and technopolitical transformations, considering data issues and social innovation. In November 2020, he launched the book Smart City Citizenship, which proposes another framework at smart cities based on democratic governance and citizenship. Thus, he presents how it is possible to understand and intervene in technopolitical disputes involving algorithms, data, and artificial intelligence based on notions such as digital sovereignty. Among the possibilities, there is the creation of data and platform co-ops based on data and digital commons. For the author, data cooperatives are a subtype of platform cooperatives, in which they focus on business models, while data co-ops share and store data. The book analyzes, among other cases, the Barcelona ecosystem and proposes perspectives for public policies. Currently, Calzada is interested in exploring new models of data governance and artificial intelligence to propose alternative ways to data ecosystems in the European scenario. He defends experimental cities as a reaction to the mainstream idea of the city as a platform, as a reproduction of extractive and panoptic practices through hyperconnectivity. But it will be very difficult in a dangerous context. And he provokes: “how, in the current context, in which we are closed in our homes, can we propose cities with open systems? Other recommendations from the author are an article on platform and data co-ops published in Sustainability journal and a conversation in Spanish about social innovation in smart cities. Read the interview with Igor Calzada: https://digilabour.com.br/2021/01/06/data-and-platform-co-ops-in-smart-city-citizenship-interview-with-igor-calzada
Piano works by Igor Stravinsky
No full textIn my work I thought was right at first a brief outline development work of Igor Stravinsky. I also tried to "map out" the emergence of some major piano works by the author. finally, I added a few notes on the piano interpretive art of Igor Stravinsky
Volatility-induced Growth in Financial Markets.
No full textWe show that the volatility of prices, which is usually regarded as an impediment for financial growth, may serve as a cause of it.
Introduzione a Igor Spanò (a cura di) Il Teatro e la festa. Il tempio, la piazza, la scena
No full textPer tre giorni gli studiosi che sono intervenuti al Convegno hanno riflettuto sul senso e sulle funzioni, sulle pratiche cultuali e rituali, sui luoghi che hanno definito nel corso del tempo i momenti della festa e sulle forme di rappresentazione agonistica (danze, corse, gare, giochi di abilità) o drammatica - di cui erano parte essenziale la musica e il canto - che, spesso intrinsecamente, li accompagnano. L'autore nella sua introduzione esamina le sfumature di significato che racchiude il termine utsava, “festa”, “gioia” in sanscrito.For three days the scholars who spoke at the conference reflected on the meaning and functions, on the cult and ritual practices, on the places that have defined the moments of the celebration over time and on the forms of competitive representation (dances, races, competitions, skill games) or dramatic - of which music and singing were an essential part - which, often intrinsically, accompany them. In his introduction, the author examines the nuances of meaning contained in the term utsava, "feast", "joy" in Sanskrit
Local stability analysis of a stochastic evolutionary financial market model with a risk-free asset
No full textThis paper introduces and analyzes an evolutionary model of a financial marketwith a risk-free asset. Focus is on the study of local stability of the wealth dynamics through the application of recent results on the linearization and stability of random dynamical systems (Evstigneev et al. Proc Am Math Soc 139:1061–1072, 2011). Conditions are derived for the linearization of the model at an equilibrium state which ensure local convergence of sample paths to this equilibrium. The paper also shows that the concept of local stability is closely related to the notion of evolutionary stability. A locally evolutionarily stable investmentstrategy in the evolutionary model with a risk-free asset is derived, extending previousresearch. The method illustrated here is applicable for the analysis of manifold economic and financial dynamic models involving randomness
Cooperative R&D and Firm Performance
No full textWe analyse the impact of R&D cooperation on firm performance differentiating between four types of R&D partners (competitors, suppliers, customers, and universities & research institutes), and considering two performance measures: labour productivity and productivity in innovative (new to the market) sales. Using data on a large sample of Dutch innovating firms in two waves of the Community Innovation Survey (1996, 1998), we examine the impact of R&D (collaboration) in 1996 on subsequent productivity growth in 1996-1998. We find that supplier and competitor cooperation have a significant impact on labour productivity growth, while competitor cooperation and collaboration with universities & research institutes positively affects growth in innovative sales per employee. Innovative sales are furthermore stimulated by incoming spillovers (not due to collaboration) from customers and universities. The results confirm a major heterogeneity in the rationales and goals of R&D cooperation, with competitor and supplier cooperation focused on incremental innovations improving the productivity performance of firms, while university cooperation and again competitor cooperation are instrumental in creating and bringing to market radical innovations generating sales or products that are novel to the market, improving the growth performance of firms.research and development ;
DigiTranScope: the governance of digitally-transformed society
No full textThis volume presents the key outcomes and research findings of the Digitranscope research project of the European Commission Joint Research Centre. The project set out to explore during the period 2017-2020 the challenges and opportunities that the digital transformation is posing to the governance of society. We focused our attention on the governance of data as a key aspect to understand and shape the governance of society. Data is a key resource in the digital economy, and control over the way it is generated, collected, aggregated, and value is extracted and distributed in society is crucial. We have explored the increasing awareness about the strategic importance of data and emerging governance models to distribute the value generated more equitably in society. These findings have contributed to the new policy orientation in Europe on technological and data sovereignty and the sharing of data for the public interest. The digital transformation, the rise of artificial intelligence and the Internet of Things offer also new opportunities for new forms of policy design, implementation, and assessment providing more personalised support to those who need it and being more participative throughout the policy cycle. The use of digital twins, gaming, simulation, and synthetic data are just at their beginning but promise to change radically the relationships among all the stakeholders in governance of our society
Евстигнеев Evstigneev Игорь Igor Вячеславович Vyacheslavovich
No full textAbstract:
Евстигнеев Игорь Вячеславович - 1949 г.р., окончил МГУ в 1971 г. по специальности «Математика». Доктор физико-математических наук (1988 г.). Работает в ЦЭМИ РАН с 1974 г. В настоящее время является ведущим научным сотрудником лаборатории стохастических моделей экономики.Note:
Евстигнеев Evstigneev Игорь Igor Вячеславович Vyacheslavovich
No full textAbstract:
Евстигнеев Игорь Вячеславович - 1949 г.р., окончил МГУ в 1971 г. по специальности «Математика». Доктор физико-математических наук (1988 г.). Работает в ЦЭМИ РАН с 1974 г. В настоящее время является ведущим научным сотрудником лаборатории стохастических моделей экономики.Note:
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