Energy, Clusters and Social Innovations for Sustainable Development Summer School and Conference

September 2, 2016
 
ENERGY, CLUSTERS AND SOCIAL INNOVATIONS FOR SUSTAINABLE DEVELOPMENT SUMMER SCHOOL and CONFERENCE
Vilnius, September 5-7, 2016
 
 
The EU’s framework for state aid defines innovative clusters as follows: “Innovation  clusters mean   grouping   of   independent   and   innovative   start-ups,   small,   medium   and   large undertakings as well as research organizations operating in a particular sector and region, and designed  to  stimulate  innovative  activity  by  promoting  intensive  interactions,  sharing  of facilities  and  exchange  of  knowledge  and  expertise,  and  by  contributing   effectively  to technology transfer, networking and information dissemination among the undertakings in the cluster”.
 
From previous experience, innovation business-driven clusters have been evidenced to be a successful  approach  to establish  and secure  a long-term  collaboration  among  different  key actors in the RTI ecosystem: research organizations, academics, SMEs, companies, policy and decision  makers  and publics.  Particularly, scattered research  islands  have  been  realized  in different  Mediterranean  countries  where  these  research  bodies  are  working  on  the  same thematic areas but separately  at both local and regional. The interest is in the outcome of their research for solving industrial and societal challenges and for creating new businesses and public services.  Moreover, clustering  should  facilitate  cooperation  between  MPCs  with similar European  researchers  and industries  by highlighting  the main factors contributing  to innovation   in   strategic   sectors   in   the   EU-Mediterranean   cooperation,   leading   to   the enhancement of the industry competitiveness and hence the country’s economic growth.
 
 
Focusing on  the  GreenTech  advanced  methodology for research,  the ClusDevMed  project aims  at strengthening the food, water and energy sectors in these specific contexts, because they are, as many scientific research has proved, the key factors for influencing socio-economic  conditions of  the  related   communities.
 
The detailed multidisciplinary WEF-Nexus of GreenTech Approach:
 
–       Food Science & Technology
–       Agro Food & Food Security
–       Biodiversity
–       Agro-industries & Agribusiness
–       Environmental Sustainability
–       Energy
–       Energy Consumption in Food Production
–       Water Waste
–       Water Reuse in Food Production
–       Innovation Management, Technology Transfer & IPR
–       Social Innovation
 
Target group is young and experienced researchers, practitioners, master and doctoral students and society members interested in contemporary issues of sustainable development, related to clustering, social innovation, energy security etc.
 
The programme will include:
 
  • Presentations of invited speakers
  • Papers/research in progress/case studies presented by participants
  • Work groups and round table discussions
  • One day conference
 
Contact details of ClusDevManager  coordinator
Universita degli Studi Roma Roma3  – Prof . Salvatore Monni  salvatore.monni@uniroma3.it
 
Contact details of
National head (Lithuania) of Horizon 2020  project H2020-MSCA-RISE-2014 CLUSDEVMED (2015-2019) Grant Agreement Number 645730 – Prof. Manuela Tvaronavičienė manuela.tvaronaviciene@vgtu.lt;manuela.tvaronaviciene@lka.ltmanuela007756@gmail.com
 

Related news

New doctoral dissertation
New doctoral dissertation
VILNIUS TECH Library invites you to follow the published new dissertations. The dissertation „Twin transition impact assessment model for agricultural performance in the context of sustainability“ prepared at VILNIUS TECH by Kristina Šermukšnytė-Alešiūnienė. The dissertation was prepared in 2020–2026. Scientific consultant – Dr Rasa Melnikienė. The dissertation was defended at the public meeting of the Dissertation Defence Council of the Scientific Field of Economics in the Aula Doctoralis Meeting Hall of Vilnius Gediminas Technical University at 10 a. m. on 22 September 2026. The twin transition in agriculture, combining the digital and green transitions, is one of the key directions of the European Union’s strategy for developing a more sustainable, resilient, and competitive agricultural sector. This dissertation addresses the problem of how to assess the impact of digital and green transitions on agricultural performance in the context of sustainability. The dissertation aims to develop and empirically substantiate the Twin Transition Impact Assessment Model. The model integrates three assessment levels: farm-level adoption and economic performance; the bioeconomy and value-chain level; and the national and regional context level. Structural asymmetries and enabling mechanisms are included as cross-cutting components. A mixed-methods research design was applied, combining scientific literature analysis, conceptual synthesis, case-study analysis, structured survey analysis, comparative assessment, correlation and regression analysis, sensitivity analysis, semi-structured interviews, document review, and the synthesis of empirical findings. The empirical basis consists of five interconnected studies covering small-farm digitalisation, digital technology adoption in sustainable agriculture and the bioeconomy, the twin transition in Lithuania and Romania, food supply-chain digitalisation, and structural asymmetries in Lithuania’s bioeconomy transition. The empirical results show that the twin transition improves agricultural performance when digital and green solutions are integrated across the farm, value chain, and regional and national levels. Digitalisation supports labour efficiency, planning, customer relations, investment decisions, loss reduction, traceability, product quality, and supply-chain visibility, while also contributing to resource efficiency, renewable energy use, water-use efficiency, emissions reduction, carbon sequestration, and climate resilience. The empirical evidence indicates that the effects of digital and green transitions depend on infrastructure, investment capacity, policy support, digital skills and institutional conditions. The results also show structural differences in transition outcomes: higher investment intensity does not automatically produce stronger economic results, and digital adoption may occur separately from ecological production orientation. On this basis, the dissertation concludes that digital and green transitions can strengthen agricultural performance and sustainability when they are integrated, context-specific and supported by enabling mechanisms. The proposed model provides a scientific and practical framework for assessing agricultural performance under the twin transition across farm-level, bioeconomy and agri-food value-chain, regional-national and structural dimensions. Doctoral dissertation readers can search via VILNIUS TECH Virtual Library.
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