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1,287 results for “Innovation”
PERCEIVE Education, Research Development and Innovation in the South-East Development Region A Case Study 20191006
<p>The data set include secondary data extracted from EUROSTAT database. The data set referring to the education and research infrastructure on Sud-Est NUTS II region from Romania for the period 2007-2013. </p>
Evaluation data used in "An innovative STEM outreach model (OH-Kids) to foster the next generation of geoscientists, engineers, and technologists"
<p>This repository contains all data of the evaluation questionnaire used to assess modifications in pupils’ perceptions of same water resources concepts and science and scientist resulting from the application of OH-Kids outreach model in six Mexican primary schools (n=344 pupils).</p>
Industrial Big Data Innovation Platform SCADA Dataset
<p>This is the SCADA dataset from the first Industrial Big Data Innovation Competition, for more information, visit: <a href="https://www.industrial-bigdata.com/Challenge/title?competitionId=LEIREZMM8TT5VBU0TLJ61FPAI6WWJOJY&type=">数境创新大赛平台(industrial-bigdata.com)。</a></p>
Dataset on THE INFLUENCE OF INNOVATION, KNOWLEDGE MANAGEMENT, AND E-COMMERCE ADOPTION ON MSME PERFORMANCE, AND ITS IMPACT ON MSMEs SUSTAINABILITY
<p>Dataset on THE INFLUENCE OF INNOVATION, KNOWLEDGE MANAGEMENT, AND E-COMMERCE ADOPTION ON MSME PERFORMANCE, AND ITS IMPACT ON MSMEs SUSTAINABILITY</p>
INNOVATIVE MACHINE LEARNING APPROACHES TO FOSTER FINANCIAL INCLUSION IN MICROFINANCE
<p>This study examines the application of machine learning algorithms to enhance financial inclusion in microfinance, focusing on credit scoring, risk and fraud detection, and customer segmentation. We performed feature engineering and employed models such as Logistic Regression, Decision Trees, Random Forests, Gradient Boosting Machines (XGBoost and LightGBM), Support Vector Machines (SVM), Autoencoders, Isolation Forests, and K-means Clustering. LightGBM achieved the highest accuracy (89.6%) and AUC (0.92) in credit scoring, while Random Forests demonstrated strong performance in both loan approval (86.7% accuracy) and fraud detection (87.6% accuracy, AUC of 0.88). SVM also performed competitively, and unsupervised methods like Autoencoders and Isolation Forests showed potential for anomaly detection but required further refinement.K-means Clustering excelled in customer segmentation with a silhouette score of 0.72, enabling tailored services based on client demographics. Our findings highlight the significant impact of machine learning on improving credit scoring accuracy, reducing fraud risks, and enhancing customer service delivery in microfinance, thereby promoting financial inclusion for underserved populations. Ethical considerations and model interpretability are crucial, particularly for smaller institutions. This study advocates for the broader adoption of machine learning in the microfinance sector.</p>
List of innovations successfully implemented in SFSCs
<p>List of innovations successfully implemented in SFSCs by the SMARTCHAIN case studies.</p>
Innovation in chronic respiratory diseases: biodiversity and commons – WHO GARD workshop [video]
<p>00:00 Introduction by Letitia Harding.</p> <p>00:15 Embedding biodiversity in digitally-enabled, patient-centered care pathways for airway diseases – Dr Jean Bousquet.</p> <p>09:35 Open-source respiratory health commons. 15 projects communities can adapt, repair, reproduce for low cost medical care (libre and open-source tech) [<a href="https://doi.org/10.5281/zenodo.5515632">download presentation</a>].</p> <p>18:13 Open discussion – Facilitation by Letitia Harding.</p> <p>28:56 End.</p>
Responsible Research and Innovation (RRI) at an Institutional Level
<p>This is a short animation film about responsible research and innovation (RRI). The video shows why it is important for researchers, research institutes to build relationships with society and how to integrate this into their institutional operations. The video was created by the Co-Change Project which supports the implementation of institutional change among research and innovation actors in the areas of <em>research ethics, open science, science education, gender equality, and sustainability</em>.</p> <p>On Youtube you find it here: https://www.youtube.com/watch?v=fOG5U2QweBo</p>
Research & Innovation Digitalization Scoreboard for the SEA-EU alliance and its member universities in the output D2.2 Digital transformation of research and innovation roadmap of the reSEArch-EU project
<p>This file is a detailed Research & Innovation Digitalization Scoreboard for the SEA-EU alliance and its member universities, used in the output D2.2 Digital transformation of research and innovation roadmap of the Horizont project reSEArch-EU, implemented by the SEA-EU university alliance.</p>
Open Chat Series: How-to-Advocacy "How to Advocate for Innovation in Scholarly Communication?"
<p>On 25. November 2022 Magdalena Wnuk moderated the Open Chat with Maciej Maryl from IBL PAN and talked about how to advocate for innovation in scholarly communication. Together with our guest speaker and the audience we discussed the advocacy goals and challenges for the SSH community while advocating for innovation in open science. </p>
From Values to Innovation
<p>From Values to Innovation is a figure from the Article:</p> <p>"Semantic Innovation as Design Strategy for Sustainability and Ergonomics – A Case Study"</p> <p>ABSTRACT</p> <p>This study deploys the framework of architectural innovation (Henderson and Clark 1990), demonstrating that a design-driven strategy leverages incremental and radical innovation through a system of core design concepts. The presented case study of an Italian high-end kitchen producer, Valcucine, is particularly interesting due to its track of innovation in sustainable and ergonomic systems with high aesthetic quality. Findings reveal how meanings are encapsulated in the core design concepts and explored in the strategy of technological innovation ­­­– from architectural to modular, radical to incremental. The findings also support previous studies arguing that semantics in design-driven industries are nested into technological innovation.</p>
Institutionalizing Responsible Innovation in Resilient Deltas
<p>Resilience Delta tackles societal challenges in the Rotterdam delta region through interdisciplinary and collaborative approaches. The Delft University of Technology provides RRI tools that might both enhance the social desirability and effectiveness of their work.</p>
Light-Emitting Diode (LED) History of Innovations
<p>Excel list of innovations and technological breakthroughs related to light-emitting diodes (LEDs). Covers the origins of the technology pre 1950 up until 2020. Data is categorized by the underlying semiconductor material used in the devices (GaN, InGaN, etc.).</p> <p>Metadata includes: origin of innovation (organization, country), references (publications, patents), etc.</p> <p>Compiled as part of the research project <a href="https://web.archive.org/web/20220920225758/https://www.ceenrg.landecon.cam.ac.uk/research/climate-change-and-energy-policy/what-factors-drive-innovation-in-energy-technologies-the-role-of-technology-spillovers-and-government-investment">"What factors drive innovation in energy technologies? The role of technology spillovers and government investment"</a>, funded by the Alfred P. Sloan Foundation.</p>
Clinical Trials_Original dataset. Rising Pharmaceutical Innovation in the Global South.
<p>This is a supplementary document of the research reports from the "Research Collaboration on Technology, Equity, and the Right to Health", between the Global Health Centre (GHC) at the Geneva Graduate Institute in Switzerland, the James P. Grant School of Public Health at BRAC University in Bangladesh, and the Universidad de los Andes (ANDES) in Colombia, supported by the Open Society University Network (OSUN). For more information please refer to: Knowledge Portal on Innovation and Access to Medicines - https://www.knowledgeportalia.org/. </p>
Clinical trials analysis results. Rising pharmaceutical innovation in the Global South.
<p>This is a supplementary document of the research reports from the "Research Collaboration on Technology, Equity, and the Right to Health", between the Global Health Centre (GHC) at the Geneva Graduate Institute in Switzerland, the James P. Grant School of Public Health at BRAC University in Bangladesh, and the Universidad de los Andes (ANDES) in Colombia, supported by the Open Society University Network (OSUN). For more information please refer to: Knowledge Portal on Innovation and Access to Medicines - <a href="https://www.knowledgeportalia.org/">https://www.knowledgeportalia.org/</a></p>
Dataset on involved actors and their roles in the governance of innovative contracts for agri-environmental and climate schemes
<p>In the presented dataset we have analyzed 19 innovative contracts for agri-environmental and climate schemes from six European countries. The selected contracts represent examples of four different contract types: result-based, collective, land tenure, and value chain contracts.</p> <p>For the analysis we used a three step approach:</p> <p>Step 1: We employed a method mix combining literature review, web search, and expert consultation to identify potential case examples for the innovative contracts, resulting in a final sample of four to five contracts per contract types including contracts from Belgium, France, Germany, Ireland, the Netherlands, and the United Kingdom.</p> <p>Step 2: We designed a survey structured in accordance with Elinor Ostrom’s institutional analysis and development (IAD) framework to collect detailed information on overall 34 variables for each contract, yielding a data matrix with 646 data points.</p> <p>Step 3: We conducted an in-depth analysis for each contract on the involved actors and their roles in contract governance roles, generating a detailed inventory of 179 identified actors where each actor was assigned one or several out of 16 possible governance roles, creating a data matrix of 2,864 data points.</p> <p>The dataset generated through these three steps contains 84 data files, including tables, figures, maps, and one text file.</p> <p>The dataset can be re-used by all interested in the institutional and governance analysis of innovative contracts for agri-environmental and climate schemes.</p> <p>The dataset is linked to Work package 2 (WP2), Task 2.2 (T2.2), and Deliverable 2.2 (D2.2) of the research and innovation action ‘Contracts2.0’ (<a href="https://www.project-contracts20.eu/">https://www.project-contracts20.eu/</a>) funded under grant agreement no. 818190 through the European Union’s Horizon 2020 program.</p> <p>This dataset contains the information required to reproduce the results presented in the following research paper: Sattler, C., Barghusen, R., Bredemeier, B., Dutilly, C., Prager, K. (2023). Institutional analysis of actors involved in the governance of innovative contracts for agri-environmental and climate schemes. Global Environmental Change 80:102668. <a href="https://doi.org/10.1016/j.gloenvcha.2023.102668">https://doi.org/10.1016/j.gloenvcha.2023.102668</a></p> <p>The dataset has been compiled to the best of our knowledge based on the sources available to us.</p>
Figs 1, 2 in Modified fore femora in a new species of Afrocamilla Barraclough: a morphological innovation in the Camillidae (Diptera)
Figs 1, 2. Detail of fore femur in Afrocamilla femorata sp. n.: (1) Anterior face showing position of cuticular protrusion with spine; (2) Slender, cone-like protrusion with stout dagger-like spine (same leg).
Webis Wikipedia Innovation History 2023
<p>History sections of science and technology articles on Wikipedia extracted from the Wikimedia dump from 1 January 2022. Articles retrieved using Wikipedia's category network. History sections extracted using a combination of section-heading-based heuristics and classifiers trained on articles with designated history sections.</p> <p>If you use this corpus, please cite the following paper:</p> <p>Wolfgang Kircheis, Marion Schmidt, Arno Simons, Benno Stein, and Martin Potthast. <a href="https://webis.de/downloads/publications/papers/kircheis_2023.pdf">Mining the History Sections of Wikipedia Articles on Science and Technology</a>. In 23rd ACM/IEEE Joint Conference on Digital Libraries (JCDL 2023), June 2023. [<a href="https://github.com/webis-de/JCDL-23">code</a>] [<a href="http://wiki-sci-tech-corpus.web.webis.de">corpus-viewer</a>]</p> <pre><code>@InProceedings{kircheis:2023, author = {Wolfgang Kircheis and Marion Schmidt and Arno Simons and Benno Stein and Martin Potthast}, booktitle = {23rd {ACM/IEEE} Joint Conference on Digital Libraries (JCDL 2023)}, codeurl = {https://github.com/webis-de/JCDL-23}, keywords = {nlp, natural language processing}, month = jun, title = {{Mining the History Sections of Wikipedia Articles on Science and Technology}}, year = 2023 }</code></pre>
Balancing Innovation and Responsibility: The e-DIPLOMA Project's Approach to Ethical, Inclusive, Accessible, and Sustainable Research (video)
<p>This video includes project motivation, primary objective and methodology developed at e-DIPLOMA project and emphasize the Responsible Research and Innovation actions implemented in the project. e-DIPLOMA ensures the consideration of ethics, gender equality, legal aspects, and data privacy as well as it prioritizes transparency and accessibility.</p> <p>Project website: https://e-diplomaproject.eu/</p>
GEOLAB Project CTP-ISSR: monotonic and cyclic Centrifuge Tests on Piles in sand proving Innovative Solutions to enhance Structural Resilience
<p>The existing structures are facing continuous changes in the loading conditions during their life span. These changes can be caused by weather and geo-hazards events and affect the structural response which is often already weakened by aging.</p> <p>A clear understanding of the interaction between the superstructure, the foundation and the surrounding soil is one of the crucial aspects to deal with to adapt the design and maintenance to enhance the resilience of new and existing Critical Infrastructures (CI) often used way beyond their life expectancy. Besides the loading components already considered in engineering practice, CI endure loads having cyclic nature acting continuously during service life (e.g., wind) which are often disregarded in foundation design and may trigger collapse mechanisms. Indeed, they are usually modelled as equivalent-static actions thus neglecting the accumulation of generalized permanent displacements of piled foundations in terms of settlement, sliding and rotation. This lack in design approach can be attributed to very limited research contributions dealing with cyclic loads. </p> <p>The CTP-ISSR (monotonic and cyclic Centrifuge Tests on Piles in sand proving Innovative Solutions to enhance Structural Resilience) project aims at investigating via centrifuge tests the behaviour of piled foundations under different loading types. Two series of centrifuge experiments on annular shaped pile groups and isolated piles embedded in Hostun sand were carried out at an increased gravity of 50 g in the Turner Beam Centrifuge at Schofield Centre, University of Cambridge. </p> <p>To simulate prototype reinforced concrete piles, model piles, made up of cement and metal wires, were manufactured in laboratory by means of an ad-hoc mould and manual mortar pouring. Such modelling is necessary to replicate the strong dependency of pile cross-sectional moment capacity on the axial force. Piles were installed in an 850 mm steel tub filled with manually poured Hostun sand prepared with a low-to-medium relative density. </p> <p>The first test included 2 single piles ad 2 groups of 8 piles connected by a circular rigid cap clear from the soil. The model foundations were subjected to monotonic vertical loads or vertical eccentric cyclic loads of different amplitudes and frequencies. In a similar fashion, the second test included 3 single piles ad 2 pile groups. In this case, the model foundations were subjected to monotonic vertical or horizontal loads or to cyclic horizontal loads of different amplitudes and frequencies. The response of the foundation system, in terms of loads and displacements, was monitored through loads cells, Linear Variable Differential Transformers (LVDTs) and Micro-Electro-Mechanical-Systems (MEMS). A miniaturized Cone Penetration Test (mini-CPT) was used to characterize the soil before the test execution. The experimental campaign was accomplished in 10 working days (including, among the others, model preparation, execution, data acquisition and dismantle). </p> <p>The results of the experiments will serve as benchmarks for the development of a non-linear macroelement for piled foundation. Adopting this innovative approach allows the strengthening of CI resilience by adapting the traditional design and maintenance to properly consider changing loading conditions in a simple yet reliable manner. </p> <p>Researchers and practitioners will be the beneficiaries of the outcome of this research, expecting the following advantages: <br> - Innovation in design, with the possibility to properly consider cyclic loading;<br> - Improvement in identifying possible failure mechanisms and the required maintenance to enhance reliability and resilience of existing CI.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.