David Manheim

Personal Details

First Name:	David
Middle Name:
Last Name:	Manheim
Suffix:
RePEc Short-ID:	pma2620
	[This author has chosen not to make the email address public]
	http://about.me/davidmanheim
Twitter:	@davidmanheim
Terminal Degree:	2017 Pardee Rand Graduate School; RAND (from RePEc Genealogy)

Affiliation

William Davidson Faculty of Industrial Engineering and Management
Israel Institute of Technology (Technion)

Technion City, Israel
http://iew3.technion.ac.il/
RePEc:edi:fitecil (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:

1. Manheim, David & Foster, Derek, 2020. "Option-based guarantees to accelerate urgent, high risk vaccines: a new market-shaping approach," OSF Preprints swd4a, Center for Open Science.

   Mentioned in:

   1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Immunization

Working papers

1. David Manheim & Scott Garrabrant, 2018. "Categorizing Variants of Goodhart's Law," Papers 1803.04585, arXiv.org, revised Feb 2019.

   Cited by:

   1. Gai, Prasanna & Kemp, Malcolm & Sánchez Serrano, Antonio & Schnabel, Isabel, 2019. "Regulatory complexity and the quest for robust regulation," Report of the Advisory Scientific Committee 8, European Systemic Risk Board.
   2. Nunn, Jack S & Shafee, Thomas, 2021. "Standardised Data on Initiatives – STARDIT: Beta Version," OSF Preprints w5xj6, Center for Open Science.
   3. Oliver Braganza, 2019. "A simple model suggesting economically rational sample-size choice drives irreproducibility," Papers 1908.08702, arXiv.org, revised Feb 2020.
   4. Manheim, David, 2018. "Building Less Flawed Metrics," MPRA Paper 90649, University Library of Munich, Germany.

2. Manheim, David, 2018. "Building Less Flawed Metrics," MPRA Paper 90649, University Library of Munich, Germany.

   Cited by:

   1. Len Fisher & Anders Sandberg, 2022. "A Safe Governance Space for Humanity: Necessary Conditions for the Governance of Global Catastrophic Risks," Global Policy, London School of Economics and Political Science, vol. 13(5), pages 792-807, November.

Articles

1. Gruetzemacher, Ross & Dorner, Florian E. & Bernaola-Alvarez, Niko & Giattino, Charlie & Manheim, David, 2021. "Forecasting AI progress: A research agenda," Technological Forecasting and Social Change, Elsevier, vol. 170(C).

   Cited by:

   1. Haque, AKM Bahalul & Islam, A.K.M. Najmul & Mikalef, Patrick, 2023. "Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
   2. Yue-Jun Zhang & Han Zhang & Rangan Gupta, 2021. "Forecasting the Artificial Intelligence Index Returns: A Hybrid Approach," Working Papers 202182, University of Pretoria, Department of Economics.
   3. Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.

2. Daniel Lakens & Federico G. Adolfi & Casper J. Albers & Farid Anvari & Matthew A. J. Apps & Shlomo E. Argamon & Thom Baguley & Raymond B. Becker & Stephen D. Benning & Daniel E. Bradford & Erin M. Buc, 2018. "Justify your alpha," Nature Human Behaviour, Nature, vol. 2(3), pages 168-171, March.

   Cited by:

   1. Williams, Cole Randall, 2019. "How redefining statistical significance can worsen the replication crisis," Economics Letters, Elsevier, vol. 181(C), pages 65-69.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-PKE: Post Keynesian Economics (2) 2018-04-09 2019-01-21. Author is listed
2. NEP-BIG: Big Data (1) 2018-04-09. Author is listed
3. NEP-HME: Heterodox Microeconomics (1) 2018-04-09. Author is listed

Corrections

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