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Past Workshops
- Bob Reed | Social capital and economic growth
- NSW Emerging HR Professionals Network
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Past Seminars
- Sam Kirshner | Artificial Agents in Operations Management Experiments
- Jack Fitzgerald | The Need for Equivalence Testing in Economics
- Ben Greiner | Reproducibility in Economics and Management
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- Florian Artinger | BIBaP Luncheon on Psychological AI
- Jack Fitzgerald | Impact of Hypothetical Incentives
- Patrick Vu | Why Are Replication Rates So Low
- Malte Friese | Is Ego Depletion Real? An Analysis of Arguments
- Thomas Pfeiffer | Replication Markets In The Social And Behavioural Sciences
- Chris Donkin | Why Preregistration Is Not Worthwhile
- Bill von Hippel | Discovering Your Own Name On A Wall Of Shame
- Eva Vivalt | Uses of Forecasts in Research
- Bob Reed | Yes You Can Calculate Ex Post Power
- Xueting Wang | Quasi-hyperbolic Present Bias
- Julia Rohrer | Not Even Unreplicable
- Daniel Lakens | When It’s OK to Use P-Values
- Ben Newell | Nudges For People Who Think
- Uli Schimmack | Implicit Preferences
- Fiona Fidler & Bonnie Wintle | The repliCATS Project
- Anna Dreber Almenberg | Replications and Predicting Replication Outcomes
- Adam Gorajek & Joel Bank | Star Wars at Central Banks
- Frederik Anseel | Can We Accomplish Both Academic And Practical Impact
- Gilad Chen | Research Methods Seminar
- Gilad Chen | The State Of The OB Science
- Gilad Feldman | Mass Mobilizing For Collaborative Credibility Revolution
- Hazel Bateman | Learning To Value Annuities
- Jonas Fooken | Performance-Based Pay, Motivation, Stress And Preferences
- Will Felps | Can We Make Business Science Better
- John Roberts | A Research Agenda for Studying the Role of Emotions in Choice Models
- Joel Pearson | Future Minds Lab, Who Are We And What Are We Doing
- Lionel Page | The Matthew Effect: How Success Fosters Further Success
- Bob Reed | On Replications, Significance Testing, Confidence Intervals and p-Values
- Elise Payzan-Le Nestour | Neuroeconomics as Neuropragmatism
- Fiona Fidler | Will This Time Be Different
- Eva Vivalt | How Much Can We Generalize From Impact Evaluations?
- Amirali Minbashian | Lessons From Psychology
- Daniel Friedman | Varieties of Risk Elicitation
- Gina Perry | Backstage and Frontstage
- Danielle Navarro | Between the devil and the deep blue sea
- Uwe Dulleck | The Case for Economic Theory
- Chris Donkin | Back to the Drawing Board
- Carsten Murawski | Computational Complexity and Decision-Making
- Will Felps | Solutions to the Credibility Crisis in Business Science
- Joshua Miller | The Hot Hand Fallacy Fallacy
- Mark Rubin | Hypothesising After the Results are Known
- Jeanette Deetlefs | On Recently Completed RCT Interventions
- Chew Soo Hong | A Revolutionary Understanding of How People Make Decisions
- Rachael Meager | Evidence Aggregation in the Presence of Heterogeneity
- Dan Goldstein | Interpretable Artificial Intelligence
- Glenn W. Harrison | Welfare Evaluation of Insurance
- Adam Gorajek | An Introduction to Specification Curves and P-curves
- Renee Adams | The ABCs of Empirical Corporate (Governance) Research
- Vinayak Dixit | Risk Perceptions in Transport
- Michaela Pagel | The Retirement-Consumption Puzzle
- Sarah Walker | Taking the Lab to the Field
- Eva Vivalt | How Do Policymakers Update?
- Gideon Nave | Does Oxytocin Increase Trust in Humans?
- Peter Bossaerts | How Neurobiology Can Inform Decision Science
- Erte Xiao on Competing by Default: A New Way to Break the Glass Ceiling
- Clara Chen on The Effects of Directional Goals
- Taisuke Imai | Meta-Analysis in Behavioral Economics
- Useful links
- Articles
- Members and associates
- Contact
- Home
- About us
- Announcements
-
Events
Past Workshops
- Bob Reed | Social capital and economic growth
- NSW Emerging HR Professionals Network
- 2019 Invitation-Only Workshop
- 2018 Workshop: From Questionable Research Practices to Sound Science
- 2017 Workshop on Research Methods in Social Sciences and Business
- 2016 Workshop on Experimental Research in Social Science and Business
- 2015 BizLab workshop in Experimental Methods
Past Seminars
- Sam Kirshner | Artificial Agents in Operations Management Experiments
- Jack Fitzgerald | The Need for Equivalence Testing in Economics
- Ben Greiner | Reproducibility in Economics and Management
- Florian Artinger | Frequency, Costs, and Remedies of “Cover-Your-Ass” Behaviour in Organisations
- Florian Artinger | BIBaP Luncheon on Psychological AI
- Jack Fitzgerald | Impact of Hypothetical Incentives
- Patrick Vu | Why Are Replication Rates So Low
- Malte Friese | Is Ego Depletion Real? An Analysis of Arguments
- Thomas Pfeiffer | Replication Markets In The Social And Behavioural Sciences
- Chris Donkin | Why Preregistration Is Not Worthwhile
- Bill von Hippel | Discovering Your Own Name On A Wall Of Shame
- Eva Vivalt | Uses of Forecasts in Research
- Bob Reed | Yes You Can Calculate Ex Post Power
- Xueting Wang | Quasi-hyperbolic Present Bias
- Julia Rohrer | Not Even Unreplicable
- Daniel Lakens | When It’s OK to Use P-Values
- Ben Newell | Nudges For People Who Think
- Uli Schimmack | Implicit Preferences
- Fiona Fidler & Bonnie Wintle | The repliCATS Project
- Anna Dreber Almenberg | Replications and Predicting Replication Outcomes
- Adam Gorajek & Joel Bank | Star Wars at Central Banks
- Frederik Anseel | Can We Accomplish Both Academic And Practical Impact
- Gilad Chen | Research Methods Seminar
- Gilad Chen | The State Of The OB Science
- Gilad Feldman | Mass Mobilizing For Collaborative Credibility Revolution
- Hazel Bateman | Learning To Value Annuities
- Jonas Fooken | Performance-Based Pay, Motivation, Stress And Preferences
- Will Felps | Can We Make Business Science Better
- John Roberts | A Research Agenda for Studying the Role of Emotions in Choice Models
- Joel Pearson | Future Minds Lab, Who Are We And What Are We Doing
- Lionel Page | The Matthew Effect: How Success Fosters Further Success
- Bob Reed | On Replications, Significance Testing, Confidence Intervals and p-Values
- Elise Payzan-Le Nestour | Neuroeconomics as Neuropragmatism
- Fiona Fidler | Will This Time Be Different
- Eva Vivalt | How Much Can We Generalize From Impact Evaluations?
- Amirali Minbashian | Lessons From Psychology
- Daniel Friedman | Varieties of Risk Elicitation
- Gina Perry | Backstage and Frontstage
- Danielle Navarro | Between the devil and the deep blue sea
- Uwe Dulleck | The Case for Economic Theory
- Chris Donkin | Back to the Drawing Board
- Carsten Murawski | Computational Complexity and Decision-Making
- Will Felps | Solutions to the Credibility Crisis in Business Science
- Joshua Miller | The Hot Hand Fallacy Fallacy
- Mark Rubin | Hypothesising After the Results are Known
- Jeanette Deetlefs | On Recently Completed RCT Interventions
- Chew Soo Hong | A Revolutionary Understanding of How People Make Decisions
- Rachael Meager | Evidence Aggregation in the Presence of Heterogeneity
- Dan Goldstein | Interpretable Artificial Intelligence
- Glenn W. Harrison | Welfare Evaluation of Insurance
- Adam Gorajek | An Introduction to Specification Curves and P-curves
- Renee Adams | The ABCs of Empirical Corporate (Governance) Research
- Vinayak Dixit | Risk Perceptions in Transport
- Michaela Pagel | The Retirement-Consumption Puzzle
- Sarah Walker | Taking the Lab to the Field
- Eva Vivalt | How Do Policymakers Update?
- Gideon Nave | Does Oxytocin Increase Trust in Humans?
- Peter Bossaerts | How Neurobiology Can Inform Decision Science
- Erte Xiao on Competing by Default: A New Way to Break the Glass Ceiling
- Clara Chen on The Effects of Directional Goals
- Taisuke Imai | Meta-Analysis in Behavioral Economics
- Useful links
- Articles
- Members and associates
- Contact
BIBaP Roundtable

08/11/2016 - 12:00 - 13:00
UNSW
Description
- November 08, 2016
- Speakers:
- Andreas Ortmann
- Gigi Foster
- John Roberts
- Topic: Big Data, Behavioural Economics, and Big Theory
The UNSW Business School research network on Behavioural Insights for Business and Policy held an invitation-only roundtable on the afternoon of November 8, 2016. This explored how three core themes – Big Data, Behavioural Economics, and Big Theory – can be harnessed in order to reinforce their value added to business (profit and not-for-profit) and government entities. Big Data has the advantages of large sample sizes and associated statistical power, unobtrusive data collection, and objective measures, but tends to be backward-looking by its very nature. Behavioural Economics offers a nuanced understanding of how real people make decisions, and how this decision-making can be facilitated by defaults and nudges.
Effective defaults and nudges, in turn, are informed by Big Theory –insights of behavioural social science that have shown to be robust across a variety of contexts. Participants had the opportunity to benchmark their use of behavioural economics with the latest in academic research and industry best practice, and to engage in constructive discussion with their fellow participants and the roundtable speakers and facilitators. Three members of the Behavioural Insights research network sketched the key ideas related to the Big Data, Behavioural Economics and Big Theory to provide background and to facilitate roundtable discussions of how behavioural insights could be used in order to obtain an evidence-based competitive advantage within an organisation, in relations with customers and suppliers, and regarding partners and other stakeholders.
Research Roundtable Speakers
Professor Andreas Ortmann, Professor of Behavioural and Experimental Economics. Associate Professor Gigi Foster, co-author of The economics of multitasking (Palgrave Macmillan 2016) and An Economic Theory of Greed, Love, Groups, and Networks (Cambridge University Press 2013).
Professor John Roberts, Professor of Marketing and a Fellow of both London Business School and Fudan University. JR has extensive senior executive experience and the company that he founded, Marketing Insights, an Asian leader in strategic marketing consulting, is now a part of the world’s largest marketing information company, A C Nielsen. *The UNSW Business School research network on Behavioural Insights for Business and Policy develops and applies best practices to ensure behavioural insights from experimental research in Economics, Finance, Risk, Marketing, and Psychology are credible and robust. More details visit Behavioural Insights for Business and Policy.