Notice bibliographique
Résumé
Extract Kumar V Pratap is passionate about infrastructure and public–private partnerships. Currently, he is Senior Economic Adviser in the Government of India. Earlier, he has worked with the Prime Minister’s Office (as Deputy Secretary) and Ministry of Finance (as Joint Secretary, Infrastructure Policy and Finance) at New Delhi, and the World Bank in Washington, DC.1 He has made seminal contributions in formulating the asset monetization policy of the Government of India as well as the ‘electronic auction of coal’ and the ‘competitive bidding of coal blocks’ policies. He also contributed extensively to the G20 Principles for Quality Infrastructure Investment adopted by the G20 leaders in 2019. He was Member Secretary of the task force that prepared India’s first National Infrastructure Pipeline. In the past, he was part of the task force for setting up a road regulator, and the Chair of the Committee writing the Model Concession Agreement for PPPs in the Urban Water Supply sector. He led the Indian delegation at the G20 Infrastructure Working Group meetings. He is currently on the Board of Directors of the North Eastern Development Finance Corporation (NEDFi) and was earlier on the Board of Directors of ONGC Videsh Limited, India Infrastructure Finance Company Limited (IIFCL), IRSDC, Indian Railway Finance Corporation, AIIB (Beijing), and New Development Bank (Shanghai). He has written a book, PPPs in Infrastructure: Managing the Challenges, published by Springer (Singapore) in 2018. He has also published with Oxford University Press, the World Bank, University of Melbourne, Economic and Political Weekly, SAGE journal Vikalpa, and the popular press including Economic Times, Business Standard, and Financial Express. He was a visiting professor at the Indian School of Business (Hyderabad and Mohali) from 2013 to 2017 teaching a strategy and policy elective on ‘Infrastructure and the Private Sector’. He has also lectured at the University of Michigan (Ann Arbor), London School of Economics, Singapore Management University, Lee Kuan Yew School of Public Policy (Singapore), Duke University, University of Maryland, World Bank (Washington, DC), IMF (SARTTAC), Indian Institute of Management (IIM, Ahmedabad), IIM (Lucknow), IIM (Indore), IIM (Shillong), National Academy of Administration (Mussoorie), and National Institute of Public Finance and Policy (Delhi). He is a recipient of University of Maryland’s John J. Sexton and doctoral fellowships, a letter of appreciation from the Indian Prime Minister, the National Talent Search Examination (NTSE) scholarship, the University of Melbourne’s Emerging Leaders Fellowship, and the Schulich Business School’s (Canada) Sustainable Infrastructure Fellowship.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,030 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».