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317 results for “Experts”
PhasAGE Ask The Expert Series | Silvio Tosatto
<p>A collection of captivating interviews with senior researchers from the PhasAGE consortium. Meet each core member while they foster new scientific horizons and cultivate collaborations, through clear, engaging dialogue that connects science with society. This initiative was organized by the early-stage researchers together with the Research and Communication Manager.</p> <p>This interview is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952334 – PhasAGE, and was co-produced with MSCA-RISE IDPfun (H2020 EU GA778247), MSCA-RISE REFRACT (H2020 EU GA823886) and ML4NGP COST Action (CA21160).</p>
Transformer-based graphical neural network with expert experience multimodal learning (TGEML) framework: a nanocomposite performance predictor
<p>TGEML is a novel multimodal nanocomposite processing framework consists of a polymer multimodal featurizer called TGEML-polymer and a nanoparticle expert experience featurizer called TGEML-nano.</p>
Opening education in the MENA region: In-depth interviews and Focus Group data with experts in open education in Egypt, Jordan, Lebanon, Morocco and Palestine.
<p>The two data sets presented here are part of a study which aimed at identifying cultural barriers in the adoption of open education in higher education in the Middle East, specifically in Egypt, Jordan, Lebanon, Morocco and Palestine. This study was conducted in the context of OpenMed – “Opening up Education in South-Mediterranean countries” (<a href="https://openmedproject.eu/">https://openmedproject.eu/</a>), an international cooperation project co-funded by the <a href="http://eacea.ec.europa.eu/erasmus-plus/actions/key-action-2-cooperation-for-innovation-and-exchange-good-practices/capacity-0_en">Erasmus+ Capacity Building in Higher Education programme</a> of the European Union during the period 15 October 2015 – 14 October 2018.</p> <p>The first document presents the transcripts of in-depth interviews (N=7) conducted in February 2018 through Skype with open education experts, from seven universities: namely: Alexandria University (Egypt), Cairo University (Egypt), German Jordanian University (Jordan), Princess Sumaya University of Technology (Jordan), Notre Dame University (Lebanon), Birzeit University (Palestine) and An-Najah University (Palestine). The second document is a transcript of a focus group which took place in Agadir (Morocco) in May 2018, with open education experts from eight universities: Alexandria University (Egypt), Cadi Ayyad University (Morocco), Cairo University (Egypt), German Jordanian University (Jordan), Ibn Zohr University (Morocco), Princess Sumaya University of Technology (Jordan), and An-Najah University (Palestine). Both the interviews and the focus group were conducted in English, digitally recorded and transcribed verbatim.</p> <p>For a rationale on the cultural factors impacting adoption of open educational practices see:</p> <ul> <li>Maya-Jariego, I. (2017). Localising Open Educational Resources and Massive Open Online Courses. In F. Nascimbeni, D. Burgos, A. Vetrò, E. Bassi, D. Villar-Onrubia, K. Winpenny, I. Maya Jariego, O. Mimi, R. Qasim, & C. Stefanelli (Eds.), <em>Open Education: fundamentals and approaches. A learning journey opening up teaching in higher education</em>. Erasmus+ Programme of the European Union.</li> </ul> <p>Project n.: 561651-EPP-1-2015-1-IT-EPPKA2-CBHE-JP</p>
Replication package for: Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples
<p><strong>This repository contains the replication scripts and data of the analyses of the paper: </strong></p> <p>Andre, P., Pizzinelli, C., Roth, C., & Wohlfart, J. (2022). Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples. <em>Review of Economic Studies</em>.</p>
How is Transient Behavior Addressed in Practice? Insights from a Series of Expert Interviews - Supplementary Material
<p>This is the supplementary material of the following publication:</p> <p>Samuel Beck, Sebastian Frank, Alireza Hakamian, André van Hoorn. 2022. How is Transient Behavior Addressed in Practice? Insights from a Series of Expert Interviews. In <em>Companion of the 2022 ACM/SPEC International Conference on Performance Engineering (ICPE ’22 Companion)</em>, April 9–13, 2022, Bejing, China. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3491204.3527483.</p> <p>The supplementary material contains the questions that were asked during the interviews and the five transcripts that were produced as a result of the interviews. The interviews were conducted in German and the transcripts have not been translated into English.</p>
Dataset of EMBCP survey results: Ocean experts (2020)
<p>In order to provide a picture of marine science communication in Europe being presented at the European Marine Board Future Science Brief N°8 ‘<a href="https://www.marineboard.eu/publications/marine-science-communication-europe-way-forward">Marine Science Communication in Europe: a way forward</a>’, the European Marine Board Communications Panel (EMCP) carried out three surveys targeting different stakeholder groups from across Europe. The results of these surveys underpin this document. Two main, in-depth surveys were carried out, one targeting experts (Ocean scientists, marine policy-makers, industry representatives, media professionals and Ocean communication or education experts) and the other targeting secondary-school students (17-18 years old). This dataset presents the results of the survey targeting experts.</p>
The visualization of the collected data corresponding to the following paper: "The development of a Self-Rated ICF-based questionnaire (HEAR-COMMAND Tool) to evaluate Hearing, Communication, and Conversation disability: multinational experts' and patients' perspectives"
<p>These two PDF files include the data collected for a study conducted by Afghah et.al, 2022. They include the responses of the participant in this study to a newly developed self-rated ICF-based questionnaire. One file includes the responses to 30 demographic questions and the other one 88 ICF-based questions. The presented data were collected in Germany, the USA, and Egypt as well as overall data.</p> <p>The design of the questionnaire is described here:<br> Afghah, T., Alfakir, R., Meis, M., van Leeuwen, L. M., Kramer, S. E., Hammady, M., Youssif, M., & Wagener, K. C. (2021). The development of a Self-Rated ICF-based questionnaire (HEAR-COMMAND Tool) to evaluate hearing, communication, and conversation disability: multinational experts' and patients' perspectives. Zenodo. https://doi.org/10.5281/zenodo.5534360.</p> <p>This study was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project ID: 352015383 – SFB 1330, C4.</p>
Expert validation results
<p>A dataset containing the results from an expert validation of the dashboard meta-model published in https://zenodo.org/record/7037624</p>
Expert-annotated dataset to study cyberbullying in Polish language
<p>We present the first dataset for the Polish language containing annotations of harmful and toxic language. The dataset was created to study harmful Internet phenomena such as cyberbullying and hate speech, which have dramatically gained in numbers in recent years both on Polish Internet as well as worldwide. The dataset was automatically collected and annotated in two ways. Firstly, by two trained layperson volunteers under the supervision of a cyberbullying and hate-speech expert. To improve the quality of annotations, the second turn of annotations was performed by a group of trained expert annotators specializing in the annotation of cyberbullying and hate-speech data, which was also additionally supervised by an additional experienced expert annotator (or super-annotator). We initially utilize the dataset in the classification of cyberbullying in Polish. In particular, the dataset is utilized in two tasks: 1) binary classification of harmful and non-harmful messages, and 2) multi-class classification between two types of harmful information (cyberbullying and hate speech), and others. Apart from the dataset itself, we also share the classification model which achieved the highest classification results for the dataset to be freely applied by third parties in cyberbullying prevention architectures.</p>
Supplementary material 1 from: Humair F, Edwards P, Siegrist M, Kueffer C (2014) Understanding misunderstandings in invasion science: why experts don't agree on common concepts and risk assessments. NeoBiota 20: 1-30. https://doi.org/10.3897/neobiota.20.6043
Interview guideline: perception / valuation of ecosystem change related non-native, invasive plants
TIGQA: An Expert-Annotated Question-Answering Dataset in Tigrinya
<div> <h3>What is TIGQA?</h3> <a href="https://github.com/hailaykidu/TigQA-Dataset#what-is-tigqa"></a></div> <p>TigQA is an expert-annotated dataset in Tigrinya, a low-resource language spoken by approximately 10 million speakers in Eritrea and the Tigray region of Ethiopia. Our proposed SQuAD-like dataset contains 2,685 question-answer pairs covering 122 diverse topics such as climate, water, and traffic. These pairs are from 537 context paragraphs in publicly accessible Tigrinya and Biology books, with the answers being provided by teachers from the region.</p> <div> </div> <div> </div>
Data from: Bristol stool scale: Patient versus expert score data
<p>The Bristol Stool Scale (BSS) is one of the most commonly used tools for evaluation of stool consistency.<strong> </strong>BSS ranges from 1-7 and each score is assigned to a given consistency of the feces. Self-reported characterizations can differ from an expert evaluation, and the reliability of BSS is unclear. The dataset consists of BSS scores by patients with inflammatory bowel disease collected throughout a 3-year follow-up, matched with scores assessed by experienced bioengineers (experts). The purpose of the study where data was collected was to compare patient scores to expert scores and hence determine the reliability of the BSS.</p>
Comparing LLM-Generated Tips and Expert-Created Tips in Quantum Computing Education
<p>This dataset includes the anonymized data from two studies with the goal to evaluate if LLM-generated tips can be used instead of expert-created tips to help students answer quantum computing questions. <br>For the main study (<em>main_test_anonymous.csv</em>) a between-subject design was used to quizz participants of the QUIKSTART 2024 summer school, giving them four multiple-choice quantum physics questions and one tip per question. Each participant was assigned one of four conditions represented by the combination of "creator" and "labeled_as" column in the csv file. In addition we asked to rate quality, correctness and helpfulness for each tip and to rate the perceived difficulty of the question. We removed demographics for anonymities sake.</p> <p>Additionally, we conducted a study directly comparing the LLM-generated and expert-created tips (<em>tip_eval_anonymous.csv</em>). Where we let experts and students rate the tips helpfulness, correctness, if they gave away the answer and if they pointed to relevant concepts. Furthermore, participants had to decide for each question which tip they preferred and were able to leave a comment to give their reasoning. We removed demographics for anonymities sake.<br><br>These datasets were evaluated in the paper "LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions" by Lars Krupp, Jonas Bley, Isacco Gobbi, Alexander Geng, Sabine Müller, Sungho Suh, Ali Moghiseh, Arcesio Castaneda Medina, Valeria Bartsch, Artur Widera, Herwig Ott, Paul Lukowicz, Jakob Karolus, Maximilian Kiefer-Emmanouilidis</p>
Complexity or complexities? A simulation study on lexical complexity in expert and learner texts through the lens of information theory
<p>Measures dataset for the work presented at LCR 2024 (the Learner Corpus Research Conference), held in Tartu on 26th-28th September 2024.</p>
Expert Features
Open the record for dataset details and reuse information.
Expert Finding Benchmark Datasets (IR, CL and SW communities)
<p>This is the updated version of the original benchmark expert finding datasets proposed by the authors of this paper - <a href="https://doi.org/10.1145/2508497.2508501">https://doi.org/10.1145/2508497.2508501</a>. The current version is released as part of Neural Expert Finder (NEF), a novel expert finding approach utilizing transformer based pre-trained language models (in .csv format).</p>
Survey response of the H2020 Water-ForCE expert meeting on In situ calibration and validation of satellite products of water quality and hydrology
<p>These slides provide an overview of the expert survey held in advance of the H2020 Water-ForCE workshop:</p> <p><strong>In situ calibration and validation of satellite products of water quality and hydrology</strong></p> <p>which was held as three virtual meeting sessions on 17, 18 and 20th May 2021:</p> <ol> <li>Data availability, Accessibility and quality gaps</li> <li>Emerging technologies to address current gaps</li> <li>Data harmonization and sharing</li> </ol> <p>Source data have been removed from the graphs included in these slides but may be requested from the authors.</p> <p>The workshop and outcomes are part of the H2020 funded project Water-ForCE: Water Scenarios For Copernicus Exploitation. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101004186</p>
Which RESTful API Design Rules are Important and How Do They Improve Software Quality? A Delphi Study with Industry Experts
<p>The dataset of a Delphi study with 8 industry experts who reached consensus on the perceived importance and positive software quality impact of 82 RESTful API design rules from the catalogue by Mark Massé ("REST API Design Rulebook", O’Reilly Media, 2011). The replication package contains:</p> <ul> <li><strong>rules.csv:</strong> the final consensus results for the 82 rules in CSV format</li> <li><strong>rule-importance.xlsx</strong>: the detailed results and analysis for rule importance as an Excel spreadsheet</li> <li><strong>rule-sw-quality-impact.xlsx</strong>: the detailed results and analysis for rule impact on software quality as an Excel spreadsheet</li> </ul> <p>In this version, we updated the final numbers for the software quality mapping with the results from the synchronous meeting.</p>
Expert consensus on core topics of sustainable development online learning module for family physicians: A Delphi study
<p><strong>Objectives</strong></p> <p>Medical institutions must provide learning experiences that enhance the knowledge and perspectives of Sustainable Development (SD) to prepare trainees of family medicine to become competent global citizens. The aim of this study was to develop an SD online learning module for trainees of family medicine.</p> <p><strong>Design</strong></p> <p>This mixed-methods study was conducted from January 2020 to May 2021, beginning with a literature review concerning Sustainable Development Goals (SDG) and Education for Sustainable Development (ESD) in medicine. In-depth interviews were held to assess the relevant needs of family medic<span>ine</span> training, followed by a two-round Delphi survey with experienced educators (n = 21) in family medicine to refine and achieve consensus on the appropriate SDG topics for family physicians.</p> <p><strong>Setting</strong></p> <p>All residency training programmes in Thailand.</p> <p><strong>Participants</strong></p> <p>Members of the Residency Training Committee, Royal College of Family Physicians of Thailand.</p> <p><strong>Results</strong></p> <p>The literature review and in-depth interviews identified 12 topics of SD that were required for family physicians. The first round of the Delphi survey was concluded by identifying 7 core topics with additional suggestions. In the second round, a consensus was obtained among the experienced educators regarding 7 core topics: 1) A definition of SD, 2) Principles of SD, 3) SDG, 4) A new concept of SD, 5) SD in the context of Thailand, 6) SD and principles of family medicine and 7) SD and family practice. These core topics were grouped within three main objectives and three sub-modules.</p> <p><strong>Conclusions</strong></p> <p>An online <span>learning module of SD for family physicians was developed using a modified Delphi method. This included three sub-modules: 1) Concept and principles of SD, 2) SDG and 3) SD and its integration with family practice. This online learning module will provide additional resources for trainees of family medicine and Thai family physicians to expand their knowledge and perspectives of sustainable development.</span></p>
Expert-annotated dataset for band gap prediction
<p>Here we present the dataset for "Toward Accurate Interpretable Predictions of Materials Properties within Transformer Language Models" (<a href="https://doi.org/10.48550/arXiv.2303.12188">arXiv:2303.12188</a>).</p> <p>The <strong>dataset_annotated.json</strong> file is organized as follows:</p> <pre><code class="language-python">{ "JARVIS-DFT id": { "text": "text description of material generated within the Robocrystallographer library", "tokens": "sequence of tokens generated by the MatBERT tokenizer", "rationales": "rationales proposed by a domain expert", "label": "label predicted by the MatBERT model", }, ...: ..., }</code></pre> <p> </p>
ScienceDex guides
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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.