User:Alexander L. Davis

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* 2007, BS, Northern Arizona University, Psychology
* 2007, BS, Northern Arizona University, Psychology
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==Research Interests and Lab Notebooks==
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==Research and Lab Notebooks==
<!-- Feel free to add brief descriptions to your research interests as well -->
<!-- Feel free to add brief descriptions to your research interests as well -->
*[[User:Alexander L. Davis/Notebook/Notebook_Template|Notebook Template]]
*[[User:Alexander L. Davis/Notebook/Notebook_Template|Notebook Template]]
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===Psychology of Methodology===
===Psychology of Methodology===
What are the important psychological aspects of designing, implementing, interpreting, and reporting experimental research?
What are the important psychological aspects of designing, implementing, interpreting, and reporting experimental research?
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====Surprises, Error, and Data Sharing  ====  
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====Communicating Uncertain Experimental Evidence====  
To what degree are unexpected data attributed to methodological error in foresight and hindsight, and how does this relate to decisions to share the data?
To what degree are unexpected data attributed to methodological error in foresight and hindsight, and how does this relate to decisions to share the data?
*[[User:Alexander_L._Davis/Notebook/Error_Models_and_Data_Sharing_in_Hindsight| Notebook]]
*[[User:Alexander_L._Davis/Notebook/Error_Models_and_Data_Sharing_in_Hindsight| Notebook]]
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====Incentives, Error, and Data Sharing ====
====Incentives, Error, and Data Sharing ====
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Do incentives undermine decisions to share data when error in the data is possible?
*[[User:Alexander_L._Davis/Notebook/The_psychology_of_empirical_data_sharing:_Coherence%2C_Correspondence_and_Performance| Notebook]]
*[[User:Alexander_L._Davis/Notebook/The_psychology_of_empirical_data_sharing:_Coherence%2C_Correspondence_and_Performance| Notebook]]
*[[Media:Davis,_A.,_Incentives,_Error,_and_Data_Sharing.pdf‎‎ | Manuscript pdf]]
*[[Media:Davis,_A.,_Incentives,_Error,_and_Data_Sharing.pdf‎‎ | Manuscript pdf]]
*[http://hdl.handle.net/1902.1/18699 Materials, Data, Statistical Analyses]
*[http://hdl.handle.net/1902.1/18699 Materials, Data, Statistical Analyses]
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 +
====Backdating Causal Theories ====
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How do we evaluate theories that were not considered beforehand?
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*[[User:Alexander_L._Davis/Notebook/Backdating| Notebook]]
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*[[Media: | Manuscript pdf]]
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*[http://hdl.handle.net/1902.1/20318 Materials, Data, Statistical Analyses]
===Human Altruism===
===Human Altruism===
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====Generosity Across Contexts ====
====Generosity Across Contexts ====
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Are we more altruistic when preventing harm to others?
*[[User:Alexander_L._Davis/Notebook/Breaking_Bads| Notebook]]
*[[User:Alexander_L._Davis/Notebook/Breaking_Bads| Notebook]]
*[[Media:Generosity_across_contexts-10-27-2011.pdf‎  | Manuscript pdf]]
*[[Media:Generosity_across_contexts-10-27-2011.pdf‎  | Manuscript pdf]]
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====Are Preferences for Harming Others Rational? ====
====Are Preferences for Harming Others Rational? ====
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Are choices to inflict harm on ourselves or others consistent with the generalized axiom of revealed preferences?
*[[User:| Notebook]]
*[[User:| Notebook]]
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*[[Media:GARP_Master_and_Version_Sent_to_Games_and_Economic_Behavior_October_2012.pdf‎ ‎‎ | Manuscript pdf]]
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*[[Media:]]
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*[http://hdl.handle.net/1902.1/18922 Materials, Data, Statistical Analyses]
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===Human Behavior and Electricity Consumption===
===Human Behavior and Electricity Consumption===
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*[http://wpweb2.tepper.cmu.edu/energy-behavior/ CMU Energy and Behavior Group]
*[http://wpweb2.tepper.cmu.edu/energy-behavior/ CMU Energy and Behavior Group]
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====Setting a Standard for Pilot Studies====
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====Setting a Standard for Energy Pilot Studies====
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*[[User:Alexander_L._Davis/Notebook/In-Home_Displays| Notebook]]
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Do pilot studies of residential energy use meet the standards of clinical trials?
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*[[Media:Davis,_A.,_Incentives,_Error,_and_Data_Sharing.pdf‎‎ | Manuscript pdf]]
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*[[User:| Notebook]]
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*[http://hdl.handle.net/1902.1/18699 Materials, Data, Statistical Analyses]
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*[[Media:Davis,_A._Setting_a_standard.pdf‎  | Manuscript pdf]]
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*[ Materials, Data, Statistical Analyses]
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====Experiments on In-Home Display Design====
====Experiments on In-Home Display Design====
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*[[User:Alexander_L._Davis/Notebook/In-Home_Displays| Notebook]]
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What features of an in-home electricity display promote learning?
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*[[Media:Davis,_A.,_Incentives,_Error,_and_Data_Sharing.pdf‎‎ | Manuscript pdf]]
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*[http://openwetware.org/wiki/IHD_Simulation:Notebook/IHD_Field_Trial Notebook]
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*[http://hdl.handle.net/1902.1/18699 Materials, Data, Statistical Analyses]
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*[[Media:Ihdsim.pdf‎ | Manuscript pdf]]
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*[http://hdl.handle.net/1902.1/19153 Materials, Data, Statistical Analyses]
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====Predicting Volunteering in Energy Efficiency Programs====
====Predicting Volunteering in Energy Efficiency Programs====
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Can we predict who volunteers for energy efficiency programs?
*[[User:| empty]]
*[[User:| empty]]
*[[Media:Davis,_A.,_Incentives,_Error,_and_Data_Sharing.pdf‎‎ | Manuscript pdf]]
*[[Media:Davis,_A.,_Incentives,_Error,_and_Data_Sharing.pdf‎‎ | Manuscript pdf]]
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*[http://hdl.handle.net/1902.1/18699 Materials, Data, Statistical Analyses]
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*[http://hdl.handle.net/1902.1/19154 Materials, Data, Statistical Analyses]
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====An Ideal Field Trial====
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====In the Problem Pit====
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How can laypeople be involved in solving scientific problems?
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*[http://openwetware.org/wiki/User:Alexander_L._Davis/Notebook/In_the_Problem_Pit Notebook]
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*[[Media: | Manuscript pdf]]
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*[http://hdl.handle.net/1902.1/20523 Materials, Data, Statistical Analyses]
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====One Good Trial====
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What does it take to do an energy efficiency trial up to FDA's standards?
*[[User:| empty]]
*[[User:| empty]]
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*[[Media:Davis,_A.,_Incentives,_Error,_and_Data_Sharing.pdf‎‎ | Manuscript pdf]]
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*[[Media:| Manuscript pdf]]
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*[http://hdl.handle.net/1902.1/18699 Materials, Data, Statistical Analyses]
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*[ Materials, Data, Statistical Analyses]
===Methodology of Psychology===
===Methodology of Psychology===
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How can prescriptive approaches to scientific research help our cognitive and social limitations?
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How can prescriptive approaches to scientific research help our cognitive and social limitations? I'm writing a book.  Not sure what to call it yet.  I'll make it available, for free, and I'd very much appreciate comments, critiques, suggestions or whatever.  Since it is free, if you feel inclined to show your gratitude to me financially, I suggest donating to [http://www.kiva.org/ kiva.org] or your favorite charity.
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I'm writing a book.  Not sure what to call it yet.  I'll make it available, for free, and I'd very much appreciate comments, critiques, suggestions or whatever.  Since it is free, if you feel inclined to show your gratitude to me financially, I suggest donating to kiva.org or your favorite charity.
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+
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[[Media:Breedingorchids.pdf| Breeding Orchids]]
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===Human and Artificial Intelligence===
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*[[Media:Breedingorchids.pdf| Breeding Orchids]]
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How can human performance be elucidated by comparing it to modern artificial intelligence methods.  For examaple, how does human knowledge representation compare to an ontology?  Applications include drug discovery.
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===The File-Drawer Problem (Dissertation)===
===The File-Drawer Problem (Dissertation)===
Do we share data when we should?
Do we share data when we should?
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[[Media:File-DrawerProblem.pdf|The File-Drawer Problem]]
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*[[Media:Davis,_A.,_The_File-Drawer_Problem-Final.pdf‎ |The File-Drawer Problem]]
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*[http://hdl.handle.net/1902.1/18786 Materials, Data, Statistical Analyses]
==Courses I want to make==
==Courses I want to make==
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Psychology of Science: Herb Simon; Gorman; Klahr; Wason; Klayman and Ha;Carruthers, Stich and Siegal: The cognitive basis of science
Psychology of Science: Herb Simon; Gorman; Klahr; Wason; Klayman and Ha;Carruthers, Stich and Siegal: The cognitive basis of science
Philosophy of Science: Peirce; Carnap; Wittgenstein; Quine; Duhem; Lakatos; Kuhn; Popper; Van Bovens and Hartmann; Mayo; Suppes;
Philosophy of Science: Peirce; Carnap; Wittgenstein; Quine; Duhem; Lakatos; Kuhn; Popper; Van Bovens and Hartmann; Mayo; Suppes;
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Machine Learning: MacKay: information theory, inference and learning algorithms; Hastie, Tibshirani and Friedman: The elements of statistical learning; Bishop: Pattern recognition and Machine Learning
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Machine Learning: MacKay: information theory, inference and learning algorithms; Hastie, Tibshirani and Friedman: The elements of statistical learning; Bishop: Pattern recognition and Machine Learning; Human and Artificial Intelligence; How can human performance be elucidated by comparing it to modern artificial intelligence methods.  For examaple, how does human knowledge representation compare to an ontology?  Applications include drug discovery.
==Publications==
==Publications==

Revision as of 16:20, 23 March 2013

Contents

Contact Info

Alexander L. Davis
Alexander L. Davis

I work in Social and Decision Sciences at Carnegie Mellon University. I learned about OpenWetWare from Wikipedia and John Miller. My main interest is creativity and hypothesis generation with respect to normative, descriptive, and prescriptive decision-making, focusing on scientific decisions.

Education (CV)

  • 2012, PhD, Carnegie Mellon University, Behavioral Decision Research
  • 2009, MS, Carnegie Mellon University, Behavioral Decision Research
  • 2007, BS, Northern Arizona University, Psychology

Research and Lab Notebooks

Psychology of Methodology

What are the important psychological aspects of designing, implementing, interpreting, and reporting experimental research?

Communicating Uncertain Experimental Evidence

To what degree are unexpected data attributed to methodological error in foresight and hindsight, and how does this relate to decisions to share the data?

Incentives, Error, and Data Sharing

Do incentives undermine decisions to share data when error in the data is possible?

Backdating Causal Theories

How do we evaluate theories that were not considered beforehand?

Human Altruism

How do humans behave when they can prevent harm to others by incurring it on themselves?

Generosity Across Contexts

Are we more altruistic when preventing harm to others?

Are Preferences for Harming Others Rational?

Are choices to inflict harm on ourselves or others consistent with the generalized axiom of revealed preferences?

  • [[User:| Notebook]]
  • [[Media:]]

Human Behavior and Electricity Consumption

What are the cognitive and motivational factors involved in understanding one's electricity consumption?

Setting a Standard for Energy Pilot Studies

Do pilot studies of residential energy use meet the standards of clinical trials?

  • [[User:| Notebook]]
  • Manuscript pdf
  • [ Materials, Data, Statistical Analyses]

Experiments on In-Home Display Design

What features of an in-home electricity display promote learning?

Predicting Volunteering in Energy Efficiency Programs

Can we predict who volunteers for energy efficiency programs?

In the Problem Pit

How can laypeople be involved in solving scientific problems?

One Good Trial

What does it take to do an energy efficiency trial up to FDA's standards?

  • [[User:| empty]]
  • [[Media:| Manuscript pdf]]
  • [ Materials, Data, Statistical Analyses]

Methodology of Psychology

How can prescriptive approaches to scientific research help our cognitive and social limitations? I'm writing a book. Not sure what to call it yet. I'll make it available, for free, and I'd very much appreciate comments, critiques, suggestions or whatever. Since it is free, if you feel inclined to show your gratitude to me financially, I suggest donating to kiva.org or your favorite charity.

The File-Drawer Problem (Dissertation)

Do we share data when we should?

Courses I want to make

Research101

My take on everything you need to know to complete an experimental research project.

Other

Adaptive pretesting: Adaptive design for pretesting: How can we use adaptive design to develop very strong experiments efficiently? We may want to test our auxiliary assumptions 'online' until they converge into a reasonable risk level. Stats for Social Sciences: Rest assured there will be no p-values. Cohen et al, applied regression Advanced Stats: Rest assured there will be no p-values. Cosma's Class; Bayesian Data Analysis; Gelman and Hill; Intro to Cognitive Psychology: Human thinking, reasoning, perception, etc. Intro to Social Psychology: Motivation, social cognition, etc. Intro to Experimental Economics: Real human behavior in microeconomics and game theory. Kagel and Roth: Handbook of Expeirmental Economics; Plott and Smith: Handbook of experiment economics results Computer Science for Social Sciences: Python, Octave, R; Stats; Complexity Theory; Sipser: Introduction to the theory of computation Decision Theory: Raiffa; Levi? Seidenfeld; Savage; Ramsey; Berger: Statistical Decision Theory and Bayesian Analysis; Gilboa: Theory of decision under uncertainty; Pratt and Raiffa: Statistical Decision Theory; Kadane (2011; pg. 1-4) has a nice demonstration of how to be a dutch bookie. Behavioral Decision Research: Normative, Descriptive, Prescriptive; Poulton; K&T; von Winterfeldt and Edwards; Raiffa and Tversky: Decision-Making; Gigerenzer: Adaptive Thinking Game Theory: Von Neumann and Morgenstern; Luce and Raiffa: Games and Decisions Behavioral Game Theory: Camerer: Behavioral Game Theory; Builds on Decision Theory with empirical evidence. Prereqs: Decision theory; stats Computational Cognitive Science: Covers three of the most successful computational models: ACT-R; Church; Connectionist; Anderson: How can the mind exist? Psychology of Science: Herb Simon; Gorman; Klahr; Wason; Klayman and Ha;Carruthers, Stich and Siegal: The cognitive basis of science Philosophy of Science: Peirce; Carnap; Wittgenstein; Quine; Duhem; Lakatos; Kuhn; Popper; Van Bovens and Hartmann; Mayo; Suppes; Machine Learning: MacKay: information theory, inference and learning algorithms; Hastie, Tibshirani and Friedman: The elements of statistical learning; Bishop: Pattern recognition and Machine Learning; Human and Artificial Intelligence; How can human performance be elucidated by comparing it to modern artificial intelligence methods. For examaple, how does human knowledge representation compare to an ontology? Applications include drug discovery.

Publications

  1. Preparing for smart grid technologies: A behavioral decision research approach to understanding consumer expectations about smart meters http://www.sciencedirect.com/science/article/pii/S0301421511009244 [Paper1]

Useful links

Personal tools