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5 results for “Academic promotion”
Datasets and results of the paper titled "Are citation networks relevant to explain academic promotions? An empirical analysis of the Italian national scientific qualification"
<p>These are the <strong>input datasets</strong> and the <strong>results of the analyses</strong> reported on the paper titled <strong>"Are citation networks relevant to explain academic promotions? An empirical analysis of the Italian national scientific qualification"</strong>.</p> <p><strong>Abstract:</strong> </p> <p>The aim of this paper is to study the role of citation network measures in the assessment of scientific maturity. Referring to the case of the Italian national scientific qualification (ASN), we investigate if there is a relationship between citation network indices and the results of the researchers’ evaluation procedures. In particular, we want to understand if network measures can enhance the prediction accuracy of the results of the evaluation procedures beyond basic performance indices. Moreover, we want to highlight which citation network indices prove to be more relevant in explaining the ASN results, and if quantitative indices used in the citation-based disciplines assessment can replace the citation network measures in non-citation-based disciplines. Data concerning Statistics and Computer Science disciplines are collected from different sources (ASN, Italian Ministry of University and Research, and Scopus) and processed in order to calculate the citation-based measures used in this study. Following, we apply classification models to estimate the effects of network variables. We find that network measures are strongly related to the results of the ASN and significantly improve the explanatory power of the models, especially for the research fields of Statistics. Additionally, citation networks in the specific sub-disciplines are far more relevant than those in the general disciplines. Finally, results show that the citation network measures are not a substitute of the citation-based bibliometric indices.</p> <p><strong>Code</strong></p> <p>The code to collect and process the data used in this paper is available on GitHub at <a href="https://github.com/DigitalDataLab/ASN16-18_CitationNetwork">https://github.com/DigitalDataLab/ASN16-18_CitationNetwork</a><strong>.</strong> </p> <p><strong>Dataset description</strong></p> <p>The files <strong>AdjacencyMatrix_01B1.csv</strong>, <strong>AdjacencyMatrix_09H1.csv</strong>, <strong>AdjacencyMatrix_13D1.csv</strong>, <strong>AdjacencyMatrix_13D2.csv</strong> and <strong>AdjacencyMatrix_13D3.csv</strong> are the citation matrices for Italian academics (i.e. ASN candidates and permanent positions in the Italian academic system) in the Recruitment Fields (RFs) 01/B1, 09/H1, 13/D1, 13/D2 and 13/D3, respectively.</p> <p>The files <strong>AdjacencyMatrix_CS.csv</strong> and <strong>AdjacencyMatrix_ST.csv</strong> are the citation matrices for the Italian academics in the Computer Science disciplines (i.e. RFs 01/B1 and 09/H1) and the Statistical disciplines (i.e. RFs 13/D1, 13/D2 and 13/D3), respectively.</p> <p>The files <strong>CS_01B1_1.csv, CS_09H1_1.csv, ST_13D1_1.csv, ST_13D2_1.csv</strong> and <strong>ST_13D3_1.csv</strong> contain the data used to build the logistic regression models presented in the paper for the Italian academics at the Full Professor (FP) level.</p> <p>The files <strong>CS_01B1_2.csv, CS_09H1_2.csv, ST_13D1_2.csv, ST_13D2_2.csv</strong> and <strong>ST_13D3_2.csv</strong> contain the data used to build the logistic regression models presented in the paper for the Italian academics at the Associate Professor (AP) level.</p> <p>The file <strong>Codebook.pdf</strong> is the codebook of the previous ten files.</p> <p>The file <strong>Appendix.pdf</strong> contains the final results of the stepwise logistic regressions computed for each level (i.e. Full Professor and Associate Professor) and Recruitment Field in the Computer Science and Statistics disciplines.</p> <p>The file <strong>NormalityAssessment.pdf</strong> contains the normality assessment of citation network indices. </p>
Promoting responsible business conduct due diligence in public procurement: Cutting edge insights from academics, practitioners and policy makers
<p>On the 30<sup> </sup>May 2024 Sapiens Network, through our Early Stage Researcher Laura Treviño-Lozano and the OECD Centre for Responsible Business Conduct hosted an online about the link between responsible business conduct (RBC) due diligence and public procurement. The aim was to encourage debate about the ways in which RBC due diligence can be operationalised to prevent and address various adverse impacts that derive from public procurement. A topic that has been little explored so far and already a reality established in the adopted EU Corporate Sustainability Due Diligence Directive.</p> <p>Moderated by Lena Diesing (OECD), Sarah Reso (OECD) started the discussion with a presentation on the OECD’s research on the implications of RBC due diligence regulation on public procurement. Next, Laura Treviño-Lozano (Sapiens network) presented an open access <a title="https://url.uk.m.mimecastprotect.com/s/BOsTCGvj1hZPJAzukUTp5?domain=journals.sagepub.com" href="https://url.uk.m.mimecastprotect.com/s/BOsTCGvj1hZPJAzukUTp5?domain=journals.sagepub.com" target="_blank" rel="noopener">research paper</a>, co-authored with Ezgi Uysal (Sapiens Network), on establishing RBC due diligence as a contract performance condition under the EU Procurement Directive. Their presentations followed a roundtable discussion by experts and practitioners Zsofia Kerecsen (European Commission), Roberto Caranta (Sapiens Network), Carla Canal (Barcelona City Council) and Sophie Derksen (International Responsible Business Conduct Unit at the Ministry of Foreign Affairs in the Netherlands) on the importance, challenges and opportunities to integrate RBC due diligence in public procurement.</p> <p>This webinar is ideal for students, policymakers, and procurement practitioners aiming to learn from research and practice insights on responsible business conduct due diligence and public procurement.</p>
Pet Partners for Promotion of Academic Life Skills
ClinicalTrials.gov study NCT03530943. IPD Sharing: NO. Countries: 1. Publications: 2.
A Trial of Academic Detailing to Promote Prescribing of Biosimilars
ClinicalTrials.gov study NCT07221890. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Electronic Quitline Referral With Enhanced Academic Detailing for the Promotion of Smoking Cessation
ClinicalTrials.gov study NCT04969978. IPD Sharing: NO. Countries: 1. Publications: 0.
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