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1,287 results for “innovative”
Open Innovation - Innovationsmanagement bei der Schweizerischen Post
<p><b>Abstract</b></p><p class="dhik-abstract-content">Unternehmen in der Schweiz wie zum Beispiel die Schweizerische Post haben Partnerschaften mit Hochschulen und Universitäten aufgebaut. Ihre Open Innovation Approach wird kurz vorgestellt.</p><p></p><p><b>Weitere Beiträge aus dem DHIK-Forum 2022 auf Zenodo:</b></p><p class="dhik-session-list"></p><ul><li>Session #1: Viktor Sigrist: Internationalisierung - Partnerschaften für den Ausbau von Forschung und Entwicklung (DOI:<a href="https://zenodo.org/record/7123701">10.5281/zenodo.7123701</a>)</li><li>Session #2: Dieter Leonhard: DHIK- Strategien der internationalen Zusammenarbeit in Forschung und Lehre (DOI:<a href="https://zenodo.org/record/7123456">10.5281/zenodo.7123456</a>)</li><li>Session #3: Stephen Wittkopf: Wissens- und Innovationstransfer - Interdisziplinäre Zusammenarbeit mit Unternehmen und Institutionen (DOI:<a href="https://zenodo.org/record/7025707">10.5281/zenodo.7025707</a>)</li><li>Session #4: Xiao Feng: CDHAW - Chinesisch-Deutsche Hochschule für Angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123458">10.5281/zenodo.7123458</a>)</li><li>Session #5: Antonio Pita und Isabel Kreiner: Academy-Industry-Collaboration - Outreach Strategy (DOI:<a href="https://zenodo.org/record/7123460">10.5281/zenodo.7123460</a>)</li><li>Session #6: Martin Sternberg: Promotionsrecht – aktueller Stand an deutschen Hochschulen für angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123757">10.5281/zenodo.7123757</a>)</li><li>Session #7: Adrian Derungs: Duo mit Innovationskraft - Zusammenspiel von Forschung und Wirtschaft in der Zentralschweiz (DOI:<a href="https://zenodo.org/record/7123767">10.5281/zenodo.7123767</a>)</li><li>Session #8: Theres Paulsen: Transdisziplinäre Forschung - komplexe gesellschaftliche Herausforderungen erfordern diverse Ansätze (DOI:<a href="https://zenodo.org/record/7123769">10.5281/zenodo.7123769</a>)</li><li>Session #9: Jörg Schneider: International research collaboration - New funding opportunities for universities of applied sciences (DOI:<a href="https://zenodo.org/record/7123771">10.5281/zenodo.7123771</a>)</li><li>Session #10: Cornelia Spycher und Matthew Whellens: Horizon Europe - overview of funding opportunities for your research and innovation (DOI:<a href="https://zenodo.org/record/7123773">10.5281/zenodo.7123773</a>)</li><li>Session #11: Janique Siffert: Eureka Eurostars - erfolgreiche Förderung für internationale Innovationsprojekte (DOI:<a href="https://zenodo.org/record/7123777">10.5281/zenodo.7123777</a>)</li><li>Session #12: Ludger Fischer: Energy Lab - ein Netzwerk für innovative Lösungen im Energiebereich (DOI:<a href="https://zenodo.org/record/7123779">10.5281/zenodo.7123779</a>)</li><li>Session #13: Jörg Worlitschek: Thermal energy storage - heating the north, cooling the south (DOI:<a href="https://zenodo.org/record/7123781">10.5281/zenodo.7123781</a>)</li><li>Session #14: Jonas Mühlethaler: Neues DC Microgrid-Konzept – netzunabhängige Elektrifizierung in Entwicklungsländern (DOI:<a href="https://zenodo.org/record/7123783">10.5281/zenodo.7123783</a>)</li><li>Session #15: Tommy Claussen: Dekarbonisierung des Gebäudesektors - digitale Transformation in der Gebäudetechnik und im Gebäudemanagement (DOI:<a href="https://zenodo.org/record/7123785">10.5281/zenodo.7123785</a>)</li><li>Session #16: Christoph Imboden: Flexibility solutions - making the power grid fit for the future (DOI:<a href="https://zenodo.org/record/7123787">10.5281/zenodo.7123787</a>)</li><li>Session #17: Uwe Schulz: Spielerisches Sarnetz - Simulationen für die fossile Unabhängigkeit einer Ortschaft (DOI:<a href="https://zenodo.org/record/7123790">10.5281/zenodo.7123790</a>)</li><li>Session #18: Jana Koehler: Künstliche Intelligenz – Erfolg durch Erwünschtheit, Machbarkeit und Wirtschaftlichkeit (DOI:<a href="https://zenodo.org/record/7123792">10.5281/zenodo.7123792</a>)</li><li>Session #19: Rolf Kamps: KI in der Prävention - Befragungsmethoden und Schulungen trainieren, Krankheitserreger erkennen (DOI:<a href="https://zenodo.org/record/7123794">10.5281/zenodo.7123794</a>)</li><li>Session #20: Gwendolyne Pascua: Artificial Intelligence in Space - CIMON assisting astronauts on the International Space Station (DOI:<a href="https://zenodo.org/record/7123796">10.5281/zenodo.7123796</a>)</li><li>Session #21: Tobias Matter et.al.: Augmented Reality Soundscapes - mit maschinellem Lernen Klangkulissen von zukünftigen Bauvorhaben generieren (DOI:<a href="https://zenodo.org/record/7123798">10.5281/zenodo.7123798</a>)</li><li>Session #22: Angela Nicoara: Internet of Things - transforming businesses, people's lives and driving growth in the coming years (DOI:<a href="https://zenodo.org/record/7123800">10.5281/zenodo.7123800</a>)</li><li>Session #23: Adrian Koller: Feldrobotik - unermüdliche und zunehmend intelligentere Hilfe in der Landwirtschaft (DOI:<a href="https://zenodo.org/record/7123802">10.5281/zenodo.7123802</a>)</li><li>Session #24: Widar von Arx et.al.: Realisierung der Verkehrswende - Einfluss der Preispolitik in der Mobilität (DOI:<a href="https://zenodo.org/record/7124000">10.5281/zenodo.7124000</a>)</li><li>Session #25: Andreas Liebrich: Tourismusdateninfrastruktur - Was die Schweiz von Europa lernen kann (DOI:<a href="https://zenodo.org/record/7123806">10.5281/zenodo.7123806</a>)</li><li>Session #26: Frank Pöhlau und Stefan May: Find life on Mars - Schülerprojekte zur mobilien Robotik (DOI:<a href="https://zenodo.org/record/7123808">10.5281/zenodo.7123808</a>)</li><li><b>Session #27: Jiayun Shen: Open Innovation - Innovationsmanagement bei der Schweizerischen Post (<a href="#collapseTwo">Video</a>)</b></li><li>Session #28: Tobias Specker: Interkulturelles Management – innovative Konzepte zum Ausbau der China-Kompetenzen an Hochschulen (DOI:<a href="https://zenodo.org/record/7123812">10.5281/zenodo.7123812</a>)</li><li>Session #29: Elena Algorri: Swimming robots - exploring the unterwater from the surface (DOI:<a href="https://zenodo.org/record/7123814">10.5281/zenodo.7123814</a>)</li><li>Session #30: Sergio Camacho: Robotics and Digital Systems Engineering at the Tec de Monterrey (DOI:<a href="https://zenodo.org/record/7123816">10.5281/zenodo.7123816</a>)</li><li>Session #31: Thomas Dorn: Industrie 4.0 - Forschungskooperationen mit der CDHAW und der Tongji Universität Shanghai (DOI:<a href="https://zenodo.org/record/7123818">10.5281/zenodo.7123818</a>)</li><li>Session #32: Walter Reichert et.al.: Kollaboration und Unterstützung - Mobile Robotik und Exoskelette in der flexiblen Produktion (DOI:<a href="https://zenodo.org/record/7123820">10.5281/zenodo.7123820</a>)</li><li>Session #33: Louis Palmer: Solar Butterfly - climate pioneer world tour supported by HSLU (DOI:<a href="https://zenodo.org/record/7123822">10.5281/zenodo.7123822</a>)</li></ul><p></p>
Energy Lab - ein Netzwerk für innovative Lösungen im Energiebereich
<p><b>Abstract</b></p><p class="dhik-abstract-content">Ludger Fischer berichtet über den Innovation Booster Energy Lab. Mehr Informationen unter www.energylab.site und www.jointcreate.com</p><p></p><p><b>Weitere Beiträge aus dem DHIK-Forum 2022 auf Zenodo:</b></p><p class="dhik-session-list"></p><ul><li>Session #1: Viktor Sigrist: Internationalisierung - Partnerschaften für den Ausbau von Forschung und Entwicklung (DOI:<a href="https://zenodo.org/record/7123701">10.5281/zenodo.7123701</a>)</li><li>Session #2: Dieter Leonhard: DHIK- Strategien der internationalen Zusammenarbeit in Forschung und Lehre (DOI:<a href="https://zenodo.org/record/7123456">10.5281/zenodo.7123456</a>)</li><li>Session #3: Stephen Wittkopf: Wissens- und Innovationstransfer - Interdisziplinäre Zusammenarbeit mit Unternehmen und Institutionen (DOI:<a href="https://zenodo.org/record/7025707">10.5281/zenodo.7025707</a>)</li><li>Session #4: Xiao Feng: CDHAW - Chinesisch-Deutsche Hochschule für Angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123458">10.5281/zenodo.7123458</a>)</li><li>Session #5: Antonio Pita und Isabel Kreiner: Academy-Industry-Collaboration - Outreach Strategy (DOI:<a href="https://zenodo.org/record/7123460">10.5281/zenodo.7123460</a>)</li><li>Session #6: Martin Sternberg: Promotionsrecht – aktueller Stand an deutschen Hochschulen für angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123757">10.5281/zenodo.7123757</a>)</li><li>Session #7: Adrian Derungs: Duo mit Innovationskraft - Zusammenspiel von Forschung und Wirtschaft in der Zentralschweiz (DOI:<a href="https://zenodo.org/record/7123767">10.5281/zenodo.7123767</a>)</li><li>Session #8: Theres Paulsen: Transdisziplinäre Forschung - komplexe gesellschaftliche Herausforderungen erfordern diverse Ansätze (DOI:<a href="https://zenodo.org/record/7123769">10.5281/zenodo.7123769</a>)</li><li>Session #9: Jörg Schneider: International research collaboration - New funding opportunities for universities of applied sciences (DOI:<a href="https://zenodo.org/record/7123771">10.5281/zenodo.7123771</a>)</li><li>Session #10: Cornelia Spycher und Matthew Whellens: Horizon Europe - overview of funding opportunities for your research and innovation (DOI:<a href="https://zenodo.org/record/7123773">10.5281/zenodo.7123773</a>)</li><li>Session #11: Janique Siffert: Eureka Eurostars - erfolgreiche Förderung für internationale Innovationsprojekte (DOI:<a href="https://zenodo.org/record/7123777">10.5281/zenodo.7123777</a>)</li><li><b>Session #12: Ludger Fischer: Energy Lab - ein Netzwerk für innovative Lösungen im Energiebereich (<a href="#collapseTwo">Video</a>)</b></li><li>Session #13: Jörg Worlitschek: Thermal energy storage - heating the north, cooling the south (DOI:<a href="https://zenodo.org/record/7123781">10.5281/zenodo.7123781</a>)</li><li>Session #14: Jonas Mühlethaler: Neues DC Microgrid-Konzept – netzunabhängige Elektrifizierung in Entwicklungsländern (DOI:<a href="https://zenodo.org/record/7123783">10.5281/zenodo.7123783</a>)</li><li>Session #15: Tommy Claussen: Dekarbonisierung des Gebäudesektors - digitale Transformation in der Gebäudetechnik und im Gebäudemanagement (DOI:<a href="https://zenodo.org/record/7123785">10.5281/zenodo.7123785</a>)</li><li>Session #16: Christoph Imboden: Flexibility solutions - making the power grid fit for the future (DOI:<a href="https://zenodo.org/record/7123787">10.5281/zenodo.7123787</a>)</li><li>Session #17: Uwe Schulz: Spielerisches Sarnetz - Simulationen für die fossile Unabhängigkeit einer Ortschaft (DOI:<a href="https://zenodo.org/record/7123790">10.5281/zenodo.7123790</a>)</li><li>Session #18: Jana Koehler: Künstliche Intelligenz – Erfolg durch Erwünschtheit, Machbarkeit und Wirtschaftlichkeit (DOI:<a href="https://zenodo.org/record/7123792">10.5281/zenodo.7123792</a>)</li><li>Session #19: Rolf Kamps: KI in der Prävention - Befragungsmethoden und Schulungen trainieren, Krankheitserreger erkennen (DOI:<a href="https://zenodo.org/record/7123794">10.5281/zenodo.7123794</a>)</li><li>Session #20: Gwendolyne Pascua: Artificial Intelligence in Space - CIMON assisting astronauts on the International Space Station (DOI:<a href="https://zenodo.org/record/7123796">10.5281/zenodo.7123796</a>)</li><li>Session #21: Tobias Matter et.al.: Augmented Reality Soundscapes - mit maschinellem Lernen Klangkulissen von zukünftigen Bauvorhaben generieren (DOI:<a href="https://zenodo.org/record/7123798">10.5281/zenodo.7123798</a>)</li><li>Session #22: Angela Nicoara: Internet of Things - transforming businesses, people's lives and driving growth in the coming years (DOI:<a href="https://zenodo.org/record/7123800">10.5281/zenodo.7123800</a>)</li><li>Session #23: Adrian Koller: Feldrobotik - unermüdliche und zunehmend intelligentere Hilfe in der Landwirtschaft (DOI:<a href="https://zenodo.org/record/7123802">10.5281/zenodo.7123802</a>)</li><li>Session #24: Widar von Arx et.al.: Realisierung der Verkehrswende - Einfluss der Preispolitik in der Mobilität (DOI:<a href="https://zenodo.org/record/7124000">10.5281/zenodo.7124000</a>)</li><li>Session #25: Andreas Liebrich: Tourismusdateninfrastruktur - Was die Schweiz von Europa lernen kann (DOI:<a href="https://zenodo.org/record/7123806">10.5281/zenodo.7123806</a>)</li><li>Session #26: Frank Pöhlau und Stefan May: Find life on Mars - Schülerprojekte zur mobilien Robotik (DOI:<a href="https://zenodo.org/record/7123808">10.5281/zenodo.7123808</a>)</li><li>Session #27: Jiayun Shen: Open Innovation - Innovationsmanagement bei der Schweizerischen Post (DOI:<a href="https://zenodo.org/record/7123810">10.5281/zenodo.7123810</a>)</li><li>Session #28: Tobias Specker: Interkulturelles Management – innovative Konzepte zum Ausbau der China-Kompetenzen an Hochschulen (DOI:<a href="https://zenodo.org/record/7123812">10.5281/zenodo.7123812</a>)</li><li>Session #29: Elena Algorri: Swimming robots - exploring the unterwater from the surface (DOI:<a href="https://zenodo.org/record/7123814">10.5281/zenodo.7123814</a>)</li><li>Session #30: Sergio Camacho: Robotics and Digital Systems Engineering at the Tec de Monterrey (DOI:<a href="https://zenodo.org/record/7123816">10.5281/zenodo.7123816</a>)</li><li>Session #31: Thomas Dorn: Industrie 4.0 - Forschungskooperationen mit der CDHAW und der Tongji Universität Shanghai (DOI:<a href="https://zenodo.org/record/7123818">10.5281/zenodo.7123818</a>)</li><li>Session #32: Walter Reichert et.al.: Kollaboration und Unterstützung - Mobile Robotik und Exoskelette in der flexiblen Produktion (DOI:<a href="https://zenodo.org/record/7123820">10.5281/zenodo.7123820</a>)</li><li>Session #33: Louis Palmer: Solar Butterfly - climate pioneer world tour supported by HSLU (DOI:<a href="https://zenodo.org/record/7123822">10.5281/zenodo.7123822</a>)</li></ul><p></p>
Horizon Europe - overview of funding opportunities for your research and innovation
<p><b>Abstract</b></p><p class="dhik-abstract-content">Horizon Europe (HE) is the 9th European Research & Innovation Program (2021-2027). In the organization Euresearch is mandated by the Swiss Government to inform and advise researchers and innovators on how to apply for funding through HE. In this presentation Euresearch outlines how to apply and presents selected funding opportunities.</p><p></p><p><b>Weitere Beiträge aus dem DHIK-Forum 2022 auf Zenodo:</b></p><p class="dhik-session-list"></p><ul><li>Session #1: Viktor Sigrist: Internationalisierung - Partnerschaften für den Ausbau von Forschung und Entwicklung (DOI:<a href="https://zenodo.org/record/7123701">10.5281/zenodo.7123701</a>)</li><li>Session #2: Dieter Leonhard: DHIK- Strategien der internationalen Zusammenarbeit in Forschung und Lehre (DOI:<a href="https://zenodo.org/record/7123456">10.5281/zenodo.7123456</a>)</li><li>Session #3: Stephen Wittkopf: Wissens- und Innovationstransfer - Interdisziplinäre Zusammenarbeit mit Unternehmen und Institutionen (DOI:<a href="https://zenodo.org/record/7025707">10.5281/zenodo.7025707</a>)</li><li>Session #4: Xiao Feng: CDHAW - Chinesisch-Deutsche Hochschule für Angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123458">10.5281/zenodo.7123458</a>)</li><li>Session #5: Antonio Pita und Isabel Kreiner: Academy-Industry-Collaboration - Outreach Strategy (DOI:<a href="https://zenodo.org/record/7123460">10.5281/zenodo.7123460</a>)</li><li>Session #6: Martin Sternberg: Promotionsrecht – aktueller Stand an deutschen Hochschulen für angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123757">10.5281/zenodo.7123757</a>)</li><li>Session #7: Adrian Derungs: Duo mit Innovationskraft - Zusammenspiel von Forschung und Wirtschaft in der Zentralschweiz (DOI:<a href="https://zenodo.org/record/7123767">10.5281/zenodo.7123767</a>)</li><li>Session #8: Theres Paulsen: Transdisziplinäre Forschung - komplexe gesellschaftliche Herausforderungen erfordern diverse Ansätze (DOI:<a href="https://zenodo.org/record/7123769">10.5281/zenodo.7123769</a>)</li><li>Session #9: Jörg Schneider: International research collaboration - New funding opportunities for universities of applied sciences (DOI:<a href="https://zenodo.org/record/7123771">10.5281/zenodo.7123771</a>)</li><li><b>Session #10: Cornelia Spycher und Matthew Whellens: Horizon Europe - overview of funding opportunities for your research and innovation (<a href="#collapseTwo">Video</a>)</b></li><li>Session #11: Janique Siffert: Eureka Eurostars - erfolgreiche Förderung für internationale Innovationsprojekte (DOI:<a href="https://zenodo.org/record/7123777">10.5281/zenodo.7123777</a>)</li><li>Session #12: Ludger Fischer: Energy Lab - ein Netzwerk für innovative Lösungen im Energiebereich (DOI:<a href="https://zenodo.org/record/7123779">10.5281/zenodo.7123779</a>)</li><li>Session #13: Jörg Worlitschek: Thermal energy storage - heating the north, cooling the south (DOI:<a href="https://zenodo.org/record/7123781">10.5281/zenodo.7123781</a>)</li><li>Session #14: Jonas Mühlethaler: Neues DC Microgrid-Konzept – netzunabhängige Elektrifizierung in Entwicklungsländern (DOI:<a href="https://zenodo.org/record/7123783">10.5281/zenodo.7123783</a>)</li><li>Session #15: Tommy Claussen: Dekarbonisierung des Gebäudesektors - digitale Transformation in der Gebäudetechnik und im Gebäudemanagement (DOI:<a href="https://zenodo.org/record/7123785">10.5281/zenodo.7123785</a>)</li><li>Session #16: Christoph Imboden: Flexibility solutions - making the power grid fit for the future (DOI:<a href="https://zenodo.org/record/7123787">10.5281/zenodo.7123787</a>)</li><li>Session #17: Uwe Schulz: Spielerisches Sarnetz - Simulationen für die fossile Unabhängigkeit einer Ortschaft (DOI:<a href="https://zenodo.org/record/7123790">10.5281/zenodo.7123790</a>)</li><li>Session #18: Jana Koehler: Künstliche Intelligenz – Erfolg durch Erwünschtheit, Machbarkeit und Wirtschaftlichkeit (DOI:<a href="https://zenodo.org/record/7123792">10.5281/zenodo.7123792</a>)</li><li>Session #19: Rolf Kamps: KI in der Prävention - Befragungsmethoden und Schulungen trainieren, Krankheitserreger erkennen (DOI:<a href="https://zenodo.org/record/7123794">10.5281/zenodo.7123794</a>)</li><li>Session #20: Gwendolyne Pascua: Artificial Intelligence in Space - CIMON assisting astronauts on the International Space Station (DOI:<a href="https://zenodo.org/record/7123796">10.5281/zenodo.7123796</a>)</li><li>Session #21: Tobias Matter et.al.: Augmented Reality Soundscapes - mit maschinellem Lernen Klangkulissen von zukünftigen Bauvorhaben generieren (DOI:<a href="https://zenodo.org/record/7123798">10.5281/zenodo.7123798</a>)</li><li>Session #22: Angela Nicoara: Internet of Things - transforming businesses, people's lives and driving growth in the coming years (DOI:<a href="https://zenodo.org/record/7123800">10.5281/zenodo.7123800</a>)</li><li>Session #23: Adrian Koller: Feldrobotik - unermüdliche und zunehmend intelligentere Hilfe in der Landwirtschaft (DOI:<a href="https://zenodo.org/record/7123802">10.5281/zenodo.7123802</a>)</li><li>Session #24: Widar von Arx et.al.: Realisierung der Verkehrswende - Einfluss der Preispolitik in der Mobilität (DOI:<a href="https://zenodo.org/record/7124000">10.5281/zenodo.7124000</a>)</li><li>Session #25: Andreas Liebrich: Tourismusdateninfrastruktur - Was die Schweiz von Europa lernen kann (DOI:<a href="https://zenodo.org/record/7123806">10.5281/zenodo.7123806</a>)</li><li>Session #26: Frank Pöhlau und Stefan May: Find life on Mars - Schülerprojekte zur mobilien Robotik (DOI:<a href="https://zenodo.org/record/7123808">10.5281/zenodo.7123808</a>)</li><li>Session #27: Jiayun Shen: Open Innovation - Innovationsmanagement bei der Schweizerischen Post (DOI:<a href="https://zenodo.org/record/7123810">10.5281/zenodo.7123810</a>)</li><li>Session #28: Tobias Specker: Interkulturelles Management – innovative Konzepte zum Ausbau der China-Kompetenzen an Hochschulen (DOI:<a href="https://zenodo.org/record/7123812">10.5281/zenodo.7123812</a>)</li><li>Session #29: Elena Algorri: Swimming robots - exploring the unterwater from the surface (DOI:<a href="https://zenodo.org/record/7123814">10.5281/zenodo.7123814</a>)</li><li>Session #30: Sergio Camacho: Robotics and Digital Systems Engineering at the Tec de Monterrey (DOI:<a href="https://zenodo.org/record/7123816">10.5281/zenodo.7123816</a>)</li><li>Session #31: Thomas Dorn: Industrie 4.0 - Forschungskooperationen mit der CDHAW und der Tongji Universität Shanghai (DOI:<a href="https://zenodo.org/record/7123818">10.5281/zenodo.7123818</a>)</li><li>Session #32: Walter Reichert et.al.: Kollaboration und Unterstützung - Mobile Robotik und Exoskelette in der flexiblen Produktion (DOI:<a href="https://zenodo.org/record/7123820">10.5281/zenodo.7123820</a>)</li><li>Session #33: Louis Palmer: Solar Butterfly - climate pioneer world tour supported by HSLU (DOI:<a href="https://zenodo.org/record/7123822">10.5281/zenodo.7123822</a>)</li></ul><p></p>
Innovation Systems & Policy Insight 3_2022 "Responsible Research & Innovation approach for transitioning the traditional industry regions into digitalized industry territories"
<p>In this ISP Insight Video, coordinator Marianne Hörlesberger tells you more about the EU Project DigiTeRRI which deals with a Responsible Research & Innovation Approach for transitioning the traditional industry regions into digitalised industry territories. The EU project DigiTeRRI empowers 3 traditional industry regions to harness the opportunities presented by digitalisation. The project has co-created a framework and roadmaps for a responsible transition to self-sustaining, digitalised industrial innovation ecosystems. It has worked out the challenges in the interplay between business, academia, government and society to initiate openness, democratic accountability and responsiveness in a process that will in turn promote resilience within these new, digitalised innovation ecosystems. Important attributes for this transition are also gender equality, science education, open access, public engagement, and ethics, which support both organisations and citizens in adapting the transformation that is revolutionising research, industry, economy, & society. Finally, 12 actions, based on the roadmap goals and objectives in each territory have been developed and implemented. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement nº 873010.</p>
The influence of successor's implicit power and explicit power on dual innovation-the mediating effect of board dissent
<p>This study explores the influence of the power of family business successors on firm innovation under the theory of social embeddedness. Based on the 2000-2019 unbalanced panel data of listed Chinese family enterprises, this study empirically examines the differences in the influence of the implicit and explicit power of successors on incremental and radical innovation respectively. Our findings show that explicit power has a more positive impact on incremental innovation, while implicit power is more conducive to promoting radical innovation. In addition, the study finds that the reason why the explicit power of succession does not have a significant impact on radical innovation, that is, the reason why board dissent is not related to radical innovation, is that some of the major innovation decisions in the enterprise are not all made at formal meetings. The research conclusions not only extend the theoretical application of social embeddedness in family enterprises, but also provide certain practical guidance for promoting enterprise innovation.</p>
Driving Innovation: Comparative Analysis of E-Government Best Practices in Different Regions
<p><span>In the rapidly evolving landscape of electronic government (e-government), innovation stands as a linchpin for effective service delivery and citizen engagement. This paper conducts a comparative analysis of e-government best practices across different regions, aiming to identify key drivers of innovation and excellence in public service digitization. Through an extensive review of global e-government initiatives and case studies, the paper examines successful strategies employed by diverse regions to foster innovation in the public sector. The comparative framework explores varying regulatory environments, technological infrastructures, and cultural considerations that influence the adoption and impact of e-government innovations. The findings contribute valuable insights for policymakers, practitioners, and researchers seeking to understand the nuanced dynamics of e-government innovation on a global scale. By elucidating the diverse approaches and outcomes in different regions, this paper facilitates a deeper comprehension of the multifaceted nature of e-government best practices and provides a foundation for informed decision-making in the pursuit of innovation excellence.</span></p>
HI-PRIX – Pay for Innovation Observatory
Open the record for dataset details and reuse information.
Agile Minds, Innovative Solutions, and Industry–Academia Collaboration: Lean R&D Meets Problem-based Learning in Software Engineering Education
<p>Supplementary materials of the paper "Agile Minds, Innovative Solutions, and Industry–Academia Collaboration: Lean R&D Meets Problem-based Learning in Software Engineering Education"</p>
Indirect social influence helps shaping the diffusion of innovations
<p>This dataset accompanies the paper "Indirect social influence helps shaping the diffusion of innovations".<br><br>It contains the participant choices between two colors when shown different information about the choices taken in their social network. The objective of the participants was to arrive to a consensus. One of the colors, which was the minority at the beggining, was given an extra incentive. Further details on the experimental setup are specified in the article.<br><br>The main file is "Unified_data", which contains all the data from the 21 sessions studied and whose fields are described below. The file "ParticipantsData" contains the gender and age distribution of the participants, while the rest of the files are the individual data for each session, in the format given by oTree.<br><br></p> <p>Explanation of "Unified_data.csv" fields:</p> <ul> <li>Experiment: Session number.</li> <li>participant.id_in_session: Identifier for each participant, constant for each session.</li> <li>config_name: Contains the order in which the different Setups were played. Its structure is of the form "egonetwork_1_a_b_c", where a,b,c are the numbers 2,3,4 in different order. These represent: 1-Setup AmAz (first neighbors), 2-Setup VerMag (first+second neighbors), 3-Setup RojNar (first+third neighbors), 4-Setup LilMor (first+fourth neighbors).</li> <li>Setup: Name of the Setup played (AmAz, VerMag, RojNar, LilMor and Instrucctions).</li> <li>node: Node assigned to the participant during that Setup.</li> <li>initialcolor: Initial color prescribed at the beginning of the Setup. Names are in spanish: Azul (blue) = #0072B2, Amarillo (yellow) = #FFC300, Verde (green) = #67E96E, Magenta = #C700AC, Rojo (red) = #E53950, Naranja (orange) = #FFA460, Lila (lilac) = #A792FC, Morado (purple) = #8000FF.</li> <li>InnovationAsInitialcolor: Binary variable showing if participant had the promoted color as initial color.</li> <li>threshold: Best threshold obtained in the model fitting.</li> <li>parameter: Best long-range parameter obtained in the model fitting.</li> <li>Time: Best time simulation obtained in the model fitting.</li> <li>AdoptersConsensus: First round in which all the participants chose the promoted color at least once.</li> <li>SimulationConsensus: Round in which the simulation of the fitted model arrived to consensus.</li> <li>Round: Round number.</li> <li>preg: Only in the Instructions Setup. Answer given to the control question.</li> <li>action: Color chosen by the participant in that round.</li> <li>Adopted_color: Previous varible translated into binary.</li> <li>Adopted_color_bin: Previous variable as logic variable.</li> <li>MajorityColor: Color most seen between the information given to the participant. In case of draw, one was chosen randomly.</li> <li>InnovationAsMajorityColorSeen: Binary variable showing if MajorityColor is equal to Promoted_color.</li> <li>bot: Binary variable showing if the participant was a bot in the current round (did not make a decision on time).</li> <li>color_neighbors_shown: List of the colors of the first neighbors shown to the participant in that round.</li> <li>color_neighbors_shown_color: Previous variable translated from hexadecimal to spanish.</li> <li>perc_color_neighbors: Percentage of neighbors shown with color equal to the promoted color.</li> <li>color_friends_shown: List of the colors of the long-distance friends shown to the participant in that round.</li> <li>color_friends_shown_color: Previous variable translated from hexadecimal to spanish.</li> <li>perc_color_friends: Percentage of long-distance friends shown with color equal to the promoted color.</li> <li>Adopted_innovation: Number of round since the participant first chose the promoted color.</li> <li>Promoted_color: Color with incentive. Setup AmAz - Azul, Setup VerMag - Magenta, Setup RojNar - Naranja, Setup LilMor - Morado.</li> <li>num_adopters: Number of adopters (people that have chosen the promoted color at least once) in the current round.</li> <li>total_participants: Constant showing the size of the network used (31).</li> <li>perc_adopters: Percentage of participants that are adopters in the current round.</li> </ul>
An innovative method of three-dimensional bone reconstruction of the anterior mandible with preserved dentition using an allogeneic bone block- 6-month follow-up- supplementary materials
<p>Table S1. The Shapiro-Wilk’s normality test (N=32 for each variable and each tooth) for the differences between before and after the treatment. W – test values, p – statistical significance.</p> <p>Table S2. Descriptive statistics of the studied bone growth parameters.</p> <p>Table S3 . Relative Treatment Effects for the studied teeth and the statistical significance of the differences between before and after treatment.</p> <p>Table S4. Spearman’s correlations of the bone growth parameters (averaged data for all teeth). N – sample size, R – correlation coefficient, t(N-2) – test value, p – statistical significance.</p> <p>Table S5. The differences in bone growth parameters (averaged data for all teeth) between sexes. N – sample size, U – test value, p – statistical significance.</p> <p>Table S6. The differences in bone growth parameters (averaged data for all teeth) between patients who underwent orthodontic treatment with a passive wire (Wire) and patients without ongoing treatment (Without wire). N – sample size, U – test value, p – statistical significance.</p> <p>Table S7. The differences in bone growth parameters (averaged data for all teeth) between patients with recessions (Yes) and patients without recession (No). N – sample size, U – test value, p – statistical significance.</p> <p>Table S8. The differences in bone growth parameters (averaged data for all teeth) between patients with thin biotype (Thin) and patients with thick biotype (Thick). N – sample size, U – test value, p – statistical significance.</p> <p>Table S9. The differences in bone growth parameters (averaged data for all teeth) between patients with excessive mentalis muscle tension (Yes) and patients without such the feature (No). N – sample size, U – test value, p – statistical significance.</p>
intron-innovation/AfriMed-QA: AfriMed-QA-v-1.2
<h2>What's Changed</h2> <ul> <li>Evalauting Pipeline for AfriMed-QA by @owos in https://github.com/intron-innovation/AfriMed-QA/pull/1</li> <li>PR to support few shot evalution and instruction tuning by @owos in https://github.com/intron-innovation/AfriMed-QA/pull/2</li> <li>Gpt4o by @tobiolatunji in https://github.com/intron-innovation/AfriMed-QA/pull/3</li> <li>PR to fix evaluation error. by @owos in https://github.com/intron-innovation/AfriMed-QA/pull/4</li> <li>Ab eval by @tobiolatunji in https://github.com/intron-innovation/AfriMed-QA/pull/7</li> <li>edit prompt structure by @owos in https://github.com/intron-innovation/AfriMed-QA/pull/8</li> <li>Gpt4o by @tobiolatunji in https://github.com/intron-innovation/AfriMed-QA/pull/10</li> <li>Gpt3.5turbo results by @SanniM3 in https://github.com/intron-innovation/AfriMed-QA/pull/9</li> <li>Gpt4o by @tobiolatunji in https://github.com/intron-innovation/AfriMed-QA/pull/11</li> <li>Gpt4o by @tobiolatunji in https://github.com/intron-innovation/AfriMed-QA/pull/14</li> <li>all results from my end by @owos in https://github.com/intron-innovation/AfriMed-QA/pull/15</li> <li>results for gpt4turbo and claude sonnet by @SanniM3 in https://github.com/intron-innovation/AfriMed-QA/pull/16</li> <li>updated readme by @princenimo in https://github.com/intron-innovation/AfriMed-QA/pull/18</li> <li>Inference results for meditron, pmc llama, mistral, and openbio by @princenimo in https://github.com/intron-innovation/AfriMed-QA/pull/17</li> <li>claude opus results by @SanniM3 in https://github.com/intron-innovation/AfriMed-QA/pull/19</li> <li>Push results from claude_3_haiku run by @timfaniran in https://github.com/intron-innovation/AfriMed-QA/pull/20</li> <li>Results for MedLM by @owos in https://github.com/intron-innovation/AfriMed-QA/pull/21</li> <li>Results for 7 models by @princenimo in https://github.com/intron-innovation/AfriMed-QA/pull/22</li> <li>Support to Eval MedQA by @owos in https://github.com/intron-innovation/AfriMed-QA/pull/23</li> <li>push new data version by @tobiolatunji in https://github.com/intron-innovation/AfriMed-QA/pull/24</li> <li>Update README.md by @princenimo in https://github.com/intron-innovation/AfriMed-QA/pull/25</li> <li>PR for results from google models by @owos in https://github.com/intron-innovation/AfriMed-QA/pull/26</li> <li>instruction tuning results by @SanniM3 in https://github.com/intron-innovation/AfriMed-QA/pull/27</li> <li>updated results for instruct and few shot - gpt4o and claude by @SanniM3 in https://github.com/intron-innovation/AfriMed-QA/pull/29</li> <li>Add files via upload by @princenimo in https://github.com/intron-innovation/AfriMed-QA/pull/30</li> <li>MedQA Google Models by @owos in https://github.com/intron-innovation/AfriMed-QA/pull/28</li> <li>More Google Results on MedQA by @owos in https://github.com/intron-innovation/AfriMed-QA/pull/31</li> <li>Google Models: Fews shots + instruct Prompt by @owos in https://github.com/intron-innovation/AfriMed-QA/pull/32</li> <li>Add files via upload by @tejuafonja in https://github.com/intron-innovation/AfriMed-QA/pull/33</li> <li>Medqa afrimed qa 3 shot by @princenimo in https://github.com/intron-innovation/AfriMed-QA/pull/34</li> <li>Google models, Instruct Only by @owos in https://github.com/intron-innovation/AfriMed-QA/pull/35</li> <li>Update README.md by @princenimo in https://github.com/intron-innovation/AfriMed-QA/pull/36</li> </ul> <h2>New Contributors</h2> <ul> <li>@owos made their first contribution in https://github.com/intron-innovation/AfriMed-QA/pull/1</li> <li>@tobiolatunji made their first contribution in https://github.com/intron-innovation/AfriMed-QA/pull/3</li> <li>@SanniM3 made their first contribution in https://github.com/intron-innovation/AfriMed-QA/pull/9</li> <li>@princenimo made their first contribution in https://github.com/intron-innovation/AfriMed-QA/pull/18</li> <li>@timfaniran made their first contribution in https://github.com/intron-innovation/AfriMed-QA/pull/20</li> <li>@tejuafonja made their first contribution in https://github.com/intron-innovation/AfriMed-QA/pull/33</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/intron-innovation/AfriMed-QA/commits/version-1</p>
Innovative 3D Cone Point Cloud Fitting via Landweber Iteration
<p>Cone surface fitting is essential in various fields, including computer graphics, computer vision, and robotics. However, factors such as noise, initial parameter selection, and the varying distribution of point clouds can significantly impact fitting accuracy and stability. To address these challenges, we propose a novel optimization method based on Landweber iteration. This method solves an objective function that includes the cone vertex. Initially, Landweber iteration is used to calculate high-precision initial values for the conical surface by leveraging all point cloud data. Subsequently, the RANSAC algorithm filters the point cloud data based on these initial values, eliminating points that do not meet the distance threshold. Finally, an error equation is formulated, and the cone surface parameters are further refined using an optimization algorithm based on Landweber iteration. Simulation experiments validate the feasibility and robustness of our approach, demonstrating superior accuracy and stability in 3D cone surface fitting.</p>
Interviews for New Business Models for Pharmaceutical Innovation and Access to Medicines - Pandemic Preparedness
<p>These supplementary materials represent the partial dataset in the form of semi-structured interviews, collected and analyzed in the research article "Unlocking global access to medicines for pandemics: the potential and limits of alternative innovation models". This article is one of the outcomes of the "New Business Models for Pharmaceutical Innovation and Global Access to Medicines" research project, conducted at the Global Health Center, within the Geneva Graduate Institute. The dataset contains 8/11 interviews collected and used in this article, which are published with the informed consent of the interviewees.</p> <p>Details about the research project can be found at: <a href="https://www.graduateinstitute.ch/NBM">https://www.graduateinstitute.ch/NBM</a></p>
Development of innovative antioxidant food packaging systems based on natural extracts from food industry waste and Moringa oleifera leaves
<p>This is the dataset of "Development of innovative antioxidant food packaging systems based on natural extracts from food industry waste and Moringa oleifera leaves"</p> <p> </p> <p><span>This research is funded by the project 21GRD07 PlasticTrace. This project has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States.</span></p> <p><span>Funder name: European Partnership on Metrology<br>• Funder ID: 10.13039/100019599<br>• Grant number: 21GRD07 PlasticTrace</span></p>
Interviews for New Business Models for Pharmaceutical Innovation and Access to Medicines - Neglected Diseases
<p>These supplementary materials represent the partial dataset in the form of semi-structured interviews, collected and analyzed in the research article "Alternative pharmaceutical innovation models for neglected diseases: How can they continue to thrive?". This article is one of the outcomes of the "New Business Models for Pharmaceutical Innovation and Global Access to Medicines" research project, conducted at the Global Health Center, within the Geneva Graduate Institute. The dataset contains 8/21 interviews collected and used in this article, which are published with the informed consent of the interviewees.</p> <p>Details about the research project can be found at: <a href="https://www.graduateinstitute.ch/NBM">https://www.graduateinstitute.ch/NBM</a></p>
"Unlocking the Urban Code. Digital Social Innovation and City Spaces"
<p>DSI in the City is a project funded by MUR-PRIN 2022 led by Chiara Certomà (PI, University Sapienza Rome) and Venere Sanna (University of Siena). The video explore one of the main challenges for contemporary society, i.e. understand and govern the digital revolution and its sociopolitical consequences.The video identifies and deconstructs the principal issues determined by the digitalisation of urban reproduction processes, notably via the diffusion of DSI practices.</p> <p> </p> <p>The project has been funded by the PRIN2022 MUR program, Funded by the European Commission - Next Generation EU, code 2022KTEZPX to the University Sapienza Rome</p>
Research compendium for "Beyond Large Shaped Tools: Technological innovations and continuities at the late Early Pleistocene assemblage of El Barranc de la Boella (Tarragona, Spain)."
<p>Overview of contents and how to reproduce:</p> <p>This repository contains the codes and datasets for reproducing the results of Lombao,D., Morales, J.I., Mosquera, M., Ollé, A., Saladié, P., Vallverdú, J. "Beyond Large Shaped Tools: Technological innovations and continuities at the late Early Pleistocene assemblage of El Barranc de la Boella (Tarragona, Spain)." Journal of Paleolithic Archaeology. DOI : 10.1007/s41982-024-00189-9</p> <p>Readers can start their own analyses by using the R Markdown file and the datasets. Please, download the complete repository and reproduce the results using `Research compendium for Beyond Large Shaped Tools.Rproj.</p>
Survey - Business Model Innovations in the Digital Publishing Industry: A Question of reluctance to innovate?
<p>News Publishers today struggle with their business model: their efforts to convert their traditional business into digital products have generally proven to be futile. In order to explore a possible reluctance to innovate in the digital news publishing industry, in our study we are focusing on the Digital News Initiative (DNI) which is a partnership between Google and news publishers across Europe to support high-quality journalism through technology and foster innovation. Founded in 2015, the DNI has already funded over 460 projects across Europe with €94m. In our study we will deep dive into these projects by categorizing the type of innovation in a simple document analysis. Afterwards we will conduct a explorative survey with publishers. This will help us finding out whether they also dealt with a reluctance to innovate within their organization, what the main obstacles have been during their innovation process and how they have overcome them. The explorative results are not only valid for publishers but can also be transferred to other industries whose products and services are affected by digitalization.</p> <p>Anonymus survey with 31 full answers from publishers in the DACH Region conducted with LimeSurvey in March 2018.</p>
Data output for: Climate change stimulated agricultural innovation and exchange across Asia, in review.
<p>The GitHub repository for this project does not contain the output<br> generated by the script—3.2 GB of compressed data. All output data is<br> available as this Zenodo archive.</p> <p>The `vignettes/` directory contains all data generated by the<br> `guedesbocinsky2018.Rmd` RMarkdown vignette:</p> <p> - `data/raw_data` contains data downloaded from web sources for this<br> analysis<br> - `data/derived_data/` contains tables of the raw site chronometric<br> data without locational information, and the modeled chronometric<br> probability and niche information for each site.<br> - `data/derived_data/models/` contains R data objects describing the<br> Kriging interpolation models across the study area<br> - `data/derived_data/recons/` contains NetCDF format raster bricks of<br> the model output (i.e., the reconstructed crop niches)<br> - `figures/` contains all figures output by the script, including<br> videos of how each crop niche changes over time<br> - `figures/site_densities/` contains figures of the estimated<br> chronometric probability density for each site in our database<br> - `submission/` contains all of the figures, tables, movies, and<br> supplemental datasets included with d’Alpoim Guedes and Bocinsky<br> (2018)</p>
MADFORWATER: WP2: Adaptation of wastewater treatment technologies for agricultural reuse: Task2.4: Industrial wastewater treatment: Treatment of different types of wastewater by means of innovative resins: Subset3
<p>This dataset contains the data underlying the following publication: Li Qimeng, Wu Ji, Hua Ming, Zhang Guang, Li Wentao, Shuang Chendong, Li Aimin. (2017). Preparation of Permanent Magnetic Resin Crosslinking by Diallyl Itaconate and Its Adsorptive and Anti-fouling Behaviors for Humic Acid Removal. <em>Scientific Report. </em> <a href="https://doi.org/10.1038/s41598-017-17360-8">https://doi.org/10.1038/s41598-017-17360-8</a></p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.