Katherine L. Milkman

• Aneesh Rai, Marissa A. Sharif, Edward H. Chang, Katherine L. Milkman, Angela Duckworth (2022), A Field Experiment on Subgoal Framing to Boost Volunteering: The Trade- Off Between Goal Granularity and Flexibility, Journal of Applied Psychology. https://doi.org/10.1037/apl0001040 Abstract

  Research suggests that breaking overarching goals into more granular subgoals is beneficial for goal progress. However, making goals more granular often involves reducing the flexibility provided to complete them, and recent work shows that flexibility can also be beneficial for goal pursuit. We examine this trade-off between granularity and flexibility in subgoals in a preregistered, large-scale field experiment (N = 9,108) conducted over several months with volunteers at a national crisis counseling organization. A preregistered vignette pilot study (N = 900) suggests that the subgoal framing tested in the field could benefit goal seekers by bolstering their self-efficacy and goal commitment, and by discouraging procrastination. Our field experiment finds that reframing an overarching goal of 200 hr of volunteering into more granular subgoals (either 4 hr of volunteering every week or 8 hr every 2 weeks) increased hours volunteered by 8% over a 12-week period. Further, increasing subgoal flexibility by breaking an annual 200-hr volunteering goal into a subgoal of volunteering 8 hr every 2 weeks, rather than 4 hr every week, led to more durable benefits.

• L John, Hayley Blunden, Katherine L. Milkman, L Foschini, Bradford Tuckfield (2022), The Limits on Inconspicuous Incentives, Organizational Behavior and Human Decision Processes, 172 ().
• Katherine L. Milkman, Linnea Gandhi, Sean F. Ellis, Heather N. Graci, Dena Gromet, Rayyan S. Mobarak, Alison Buttenheim, Angela Duckworth, Devin Pope, Ala Stanford, Richard H Thaler, Kevin Volpp (2022), A Citywide Experiment Testing the Impact of Geographically Targeted, High-Pay-Off Vaccine Lotteries, Nature Human Behaviour. https://doi.org/10.1038/s41562-022-01437-0 Abstract

  Lotteries have been shown to motivate behaviour change in many settings, but their value as a policy tool is relatively untested. We implemented a pre-registered, citywide experiment to test the effects of three high-pay-off, geographically targeted lotteries designed to motivate adult Philadelphians to get their COVID-19 vaccine. In each drawing, the residents of a randomly selected ‘treatment’ zip code received half the lottery prizes, boosting their chances of winning to 50×–100× those of other Philadelphians. The first treated zip code, which drew considerable media attention, may have experienced a small bump in vaccinations compared with the control zip codes: average weekly vaccinations rose by an estimated 61 per 100,000 people per week (+11%). After pooling the results from all three zip codes treated during our six-week experiment, however, we do not detect evidence of any overall benefits. Furthermore, our 95% confidence interval provides a 9% upper bound on the net benefits of treatment in our study.

• Mitesh Patel, Katherine L. Milkman, Linnea Gandhi, Heather N. Graci, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Modupe Akinola, John Beshears, Jonathan E. Bogard, Alison Buttenheim, Christopher F. Chabris, Gretchen B. Chapman, James J. Choi, Hengchen Dai, Craig R. Fox, Amir Goren, Matthew D. Hilchey, Jillian Hmurovic, Leslie K. John, Dean Karlan, Melanie Kim, David Laibson, Cait Lamberton, Brigitte C. Madrian, M. Meyer, Maria Modanu, Jimin Nam, Todd Rogers, Renante Rondina, Silvia Saccardo, Maheen Shermohammed, Dilip Soman, Jehan Sparks, Caleb Warren, Megan Weber, Ron Berman, Chalanda N. Evans, Seung Hyeong Lee, Christopher K. Snider, Eli Tsukayama, Christophe Van den Bulte, Kevin Volpp, Angela Duckworth (2022), A Randomized Trial of Behavioral Nudges Delivered through Text Messages to Increase Influenza Vaccination Among Patients with an Upcoming Primary Care Visit, American Journal of Health Promotion, 37 (3), pp. 324-332. Abstract

  Purpose: To evaluate if nudges delivered by text message prior to an upcoming primary care visit can increase influenza
  vaccination rates.
  Design: Randomized, controlled trial.
  Setting: Two health systems in the Northeastern US between September 2020 and March 2021.
  Subjects: 74,811 adults.
  Interventions: Patients in the 19 intervention arms received 1-2 text messages in the 3 days preceding their appointment that
  varied in their format, interactivity, and content.
  Measures: Influenza vaccination.
  Analysis: Intention-to-treat.
  Results: Participants had a mean (SD) age of 50.7 (16.2) years; 55.8% (41,771) were female, 70.6% (52,826) were
  White, and 19.0% (14,222) were Black. Among the interventions, 5 of 19 (26.3%) had a significantly greater vaccination
  rate than control. On average, the 19 interventions increased vaccination relative to control by 1.8 percentage points
  or 6.1% (P = .005). The top performing text message described the vaccine to the patient as “reserved for you” and led
  to a 3.1 percentage point increase (95% CI, 1.3 to 4.9; P < .001) in vaccination relative to control. Three of the top five
  performing messages described the vaccine as “reserved for you.” None of the interventions performed worse than
  control.
  Conclusions: Text messages encouraging vaccination and delivered prior to an upcoming appointment significantly increased
  influenza vaccination rates and could be a scalable approach to increase vaccination more broadly.

  Related
  Links
• Harsha Thirumurthy, Katherine L. Milkman, Kevin Volpp, Alison M. Buttenheim, Devin G Pope (2022), Association Between Statewide Financial Incentive Programs and COVID-19 Vaccination Rates, PLoS One, 17 (3). Abstract

  To promote COVID-19 vaccination, many states in the US introduced financial incentives ranging from small, guaranteed rewards to lotteries that give vaccinated individuals a chance to win large prizes. There is limited evidence on the effectiveness of these programs and conflicting evidence from survey experiments and studies of individual states’ lotteries. To assess the effectiveness of COVID-19 vaccination incentive programs, we combined information on statewide incentive programs in the US with data on daily vaccine doses administered in each state. Leveraging variation across states in the daily availability of incentives, our difference-in-differences analyses showed that statewide programs were not associated with a significant change in vaccination rates. Furthermore, there was no significant difference in vaccination trends between states with and without incentives in any of the 14 days before or after incentives were introduced. Heterogeneity analyses indicated that neither lotteries nor guaranteed rewards were associated with significant change in vaccination rates.

• Alison Buttenheim, Katherine L. Milkman, Angela Duckworth, Dena Gromet, Mitesh Patel, Gretchen B. Chapman (2022), Effects of Ownership Text Message Wording and Reminders on Receipt of an Influenza Vaccination: A Randomized Clinical Trial, Journal of the American Medical Association Network Open, 5 (2). Abstract

  Importance  Despite the availability of safe and effective vaccines, many people fail to get vaccinated. Messages using behavioral science principles may increase vaccination rates.

  Objective  To determine the effect on influenza vaccination rates of a text message telling patients that an influenza vaccine had been reserved for them.

  Design, Setting, and Participants  As part of a larger influenza vaccine messaging megastudy, in this randomized clinical trial, 11 188 patients in 2 large health systems were assigned to receive a text message that stated “a flu shot has been reserved for you,” a text message that stated “flu shots will be available,” or no text message. Both messages included the option to reply yes (Y) or no (N) to indicate that the patient wanted to get vaccinated. Patients 18 years or older were included if they had new or routine (nonsick) primary care appointments scheduled from September 20, 2020, through March 31, 2021.

  Interventions  The evening before the scheduled appointment, patients in the 2 message conditions were sent 3 back-to-back SMS messages containing the study wording. Patients in the usual care control group did not receive any study messages.

  Main Outcomes and Measures  Receipt of an influenza vaccine on the date of the patient’s scheduled appointment.

  Results  A total of 11 188 patients were randomized to the reserved or the available message conditions or to usual care. The 10 158 patients analyzed in the study had a mean (SD) age of 50.61 (16.28) years; 5631 (55.43%) were women; and 7025 (69.16%) were White. According to health records, 4113 (40.49%) had been vaccinated in the previous influenza season, and 5420 (53.36%) were patients at Penn Medicine. In an intent-to-treat analysis, changes in vaccination rates in response to the reserved message did not reach statistical significance (increase of 1.4 percentage points, or 4% [P = .31]) compared with the message conveying that influenza vaccines were available. Relative to the usual care control, the reserved message increased vaccination rates by 3.3 percentage points, or 11% (P = .004). Patients in the reserved message condition were more likely to text back Y (1063 of 3375 [31.50%]) compared with those in the available message condition (887 of 3351 [26.47%]; χ² = 20.64; P < .001), and those who replied Y were more likely to get vaccinated (1532 of 1950 [78.56%]) compared with those who did not (749 of 4776 [15.68%]; χ² = 2400; P < .001).

  Conclusions and Relevance  This study found that patients who received text messages regarding flu vaccination had greater vaccine uptake than those who received no message. Messages that increase the likelihood that patients will indicate their intention to be vaccinated may also increase vaccination behavior.

• Katherine L. Milkman, Linnea Gandhi, Mitesh Patel, Heather N. Graci, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Jonathan E. Bogard, Ilana Brody, Christopher F. Chabris, Edward Chang, Gretchen B. Chapman, Jennifer E. Dannals, Noah J. Goldstein, Amir Goren, Hal E. Hershfield, Alexander Hirsch, Jillian Hmurovic, Samantha Horn, Dean Karlan, Ariella Kristal, Cait Lamberton, M. Meyer, Allison H. Oakes, Maurice Schweitzer, Maheen Shermohammed, Joachim H. Talloen, Caleb Warren, Ashley Whillans, Kuldeep N. Yadav, Julian J. Zlatev, Ron Berman, Chalanda N. Evans, Rahul Ladhania, Jens Ludwig, Nina Mazar, Sendhil Mullainathan, Christopher K. Snider, Jann Spiess, Eli Tsukayama, Lyle Ungar, Christophe Van den Bulte, Kevin Volpp, Angela Duckworth (2022), A 680,000-Person Megastudy of Nudges to Encourage Vaccination in Pharmacies, Proceedings of the National Academy of Sciences, 119 (6). 10.1073/pnas.211512611 Abstract

  Encouraging vaccination is a pressing policy problem. To assess whether text-based reminders can encourage pharmacy vaccination and what kinds of messages work best, we conducted a megastudy. We randomly assigned 689,693 Walmart pharmacy patients to receive one of 22 different text reminders using a variety of different behavioral science principles to nudge flu vaccination or to a business-as-usual control condition that received no messages. We found that the reminder texts that we tested increased pharmacy vaccination rates by an average of 2.0 percentage points, or 6.8%, over a 3-mo follow-up period. The most effective messages reminded patients that a flu shot was waiting for them and delivered reminders on multiple days. The top performing intervention included two texts delivered 3 d apart and communicated to patients that a vaccine was “waiting for you.” Neither experts nor lay people anticipated that this would be the best-performing treatment, underscoring the value of simultaneously testing many different nudges in a highly powered megastudy.

• Katherine L. Milkman, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Predrag Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen B. Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, George Loewenstein, Jens Ludwig, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin Volpp, Ashley Whillans, Jonathan Zinman, Angela Duckworth (2021), Megastudies Improve the Impact of Applied Behavioural Science, , 600 (), pp. 478-483. Abstract

  Policy-makers are increasingly turning to behavioural science for insights about how to improve citizens’ decisions and outcomes. Typically, different scientists test different intervention ideas in different samples using different outcomes over different time intervals. The lack of comparability of such individual investigations limits their potential to inform policy. Here, to address this limitation and accelerate the pace of discovery, we introduce the megastudy—a massive field experiment in which the effects of many different interventions are compared in the same population on the same objectively measured outcome for the same duration. In a megastudy targeting physical exercise among 61,293 members of an American fitness chain, 30 scientists from 15 different US universities worked in small independent teams to design a total of 54 different four-week digital programmes (or interventions) encouraging exercise. We show that 45% of these interventions significantly increased weekly gym visits by 9% to 27%; the top-performing intervention offered microrewards for returning to the gym after a missed workout. Only 8% of interventions induced behaviour change that was significant and measurable after the four-week intervention. Conditioning on the 45% of interventions that increased exercise during the intervention, we detected carry-over effects that were proportionally similar to those measured in previous research. Forecasts by impartial judges failed to predict which interventions would be most effective, underscoring the value of testing many ideas at once and, therefore, the potential for megastudies to improve the evidentiary value of behavioural science.

• Katherine L. Milkman, Mitesh Patel, Linnea Gandhi, Heather N. Graci, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Modupe Akinola, John Beshears, Jonathan E. Bogard, Alison Buttenheim, Christopher F. Chabris, Gretchen B. Chapman, James J. Choi, Hengchen Dai, Craig R. Fox, Amir Goren, Matthew D. Hilchey, Jillian Hmurovic, Leslie K. John, Dean Karlan, Melanie Kim, David Laibson, Cait Lamberton, Brigitte C. Madrian, M. Meyer, Maria Modanu, Jimin Nam, Todd Rogers, Renante Rondina, Silvia Saccardo, Maheen Shermohammed, Dilip Soman, Jehan Sparks, Caleb Warren, Megan Weber, Ron Berman, Chalanda N. Evans, Christopher K. Snider, Eli Tsukayama, Christophe Van den Bulte, Kevin Volpp, Angela Duckworth (2021), A Megastudy of Text-Based Nudges Encouraging Patients to Get Vaccinated at an Upcoming Doctor’s Appointment, Proceedings of the National Academy of Sciences, 118 (20). 10.1073/pnas.2101165118 Abstract

  Many Americans fail to get life-saving vaccines each year, and the availability of a vaccine for COVID-19 makes the challenge of encouraging vaccination more urgent than ever. We present a large field experiment (N = 47,306) testing 19 nudges delivered to patients via text message and designed to boost adoption of the influenza vaccine. Our findings suggest that text messages sent prior to a primary care visit can boost vaccination rates by an average of 5%. Overall, interventions performed better when they were 1) framed as reminders to get flu shots that were already reserved for the patient and 2) congruent with the sort of communications patients expected to receive from their healthcare provider (i.e., not surprising, casual, or interactive). The best-performing intervention in our study reminded patients twice to get their flu shot at their upcoming doctor’s appointment and indicated it was reserved for them. This successful script could be used as a template for campaigns to encourage the adoption of life-saving vaccines, including against COVID-19.

• John Beshears, Hengchen Dai, Katherine L. Milkman, Shlomo Benartzi (2021), Using Fresh Starts to Nudge Increased Retirement Savings, Organizational Behavior and Human Decision Processes, 167 (), pp. 72-87. Abstract

  We conducted a field experiment to study the effect of framing future moments in time as new beginnings (or “fresh starts”). University employees (N = 6,082) received mailings with an opportunity to choose between increasing their contributions to a savings plan immediately or at a specified future time point. Framing the future time point in relation to a fresh start date (e.g., the recipient’s birthday, the first day of spring) increased the likelihood that the mailing recipient chose to increase contributions at that future time point without decreasing their likelihood of increasing contributions immediately. Overall, fresh start framing increased retirement plan contributions in the eight months following the mailing. Our findings represent the first experimental demonstration of the benefits of fresh start framing in a consequential field setting.

• All Research from Katherine L. Milkman »

Current Courses

• OIDD9950 - Dissertation Preparation

  OIDD9950025 ( Syllabus )

  OIDD9950026 ( Syllabus )

  OIDD9950029 ( Syllabus )

• OIDD9999 - Independent Study

  Independent Study

  OIDD9999001 ( Syllabus )

  OIDD9999002 ( Syllabus )

Past Courses

• MGMT6900 - Manag Decsn Making

  The course is built around lectures reviewing multiple empirical studies, class discussion,and a few cases. Depending on the instructor, grading is determined by some combination of short written assignments, tests, class participation and a final project (see each instructor's syllabus for details).

• OIDD2900 - Decision Processes

  This course is an intensive introduction to various scientific perspectives on the processes through which people make decisions. Perspectives covered include cognitive psychology of human problem-solving, judgment and choice, theories of rational judgment and decision, and the mathematical theory of games. Much of the material is technically rigorous. Prior or current enrollment in STAT 101 or the equivalent, although not required, is strongly recommended.

• OIDD2990 - Judg & Dec Making Res Im

  This class provides a high-level introduction to the field of judgment and decision making (JDM) and in-depth exposure to the process of doing research in this area. Throughout the semester you will gain hands-on experience with several different JDM research projects. You will be paired with a PhD student or faculty mentor who is working on a variety of different research studies. Each week you will be given assignments that are central to one or more of these studies, and you will be given detailed descriptions of the research projects you are contributing to and how your assignments relate to the successful completion of these projects. To complement your hands-on research experience, throughout the semester you will be assigned readings from the book Nudge by Thaler and Sunstein, which summarizes key recent ideas in the JDM literature. You will also meet as a group for an hour once every three weeks with the class's faculty supervisor and all of his or her PhD students to discuss the projects you are working on, to discuss the class readings, and to discuss your own research ideas stimulated by getting involved in various projects. Date and time to be mutually agreed upon by supervising faculty and students. the 1CU version of this course will involve approx. 10 hours of research immersion per week and a 10-page paper. The 0.5 CU version of this course will involve approx 5 hours of research immersion per week and a 5-page final paper. Please contact Professor Joseph Simmons if you are interested in enrolling in the course: jsimmo@wharton.upenn.edu

• OIDD4900 - Sci of Behavior Change

  The objective of this 14-week discussion-based seminar for advanced undergraduates is to expose students to cutting-edge research from psychology and economics on the most effective strategies for changing behavior sustainably and for the better (e.g., promoting healthier eating and exercise, encouraging better study habits, and increasing savings rates). The weekly readings cover classic and current research in this area. The target audience for this course is advanced undergraduate students interested in behavioral science research and particularly those hoping to learn about using social science to change behavior for good. Although there are no pre-requisites for this class, it is well-suited to students who have taken (and enjoyed) courses like OIDD 2900: Decision Processes, PPE 2030/PSYC 2650: Behavioral Economics and Psychology, and MKTG 2660: Marketing for Social Impact and are interested in taking a deeper dive into the academic research related to promoting behavior change for good. Instructor permission is required to enroll in this course. Please complete the application if interested in registering for this seminar: http://bit.ly/bcfg-class-2020. The application deadline is July 31, 2020. Prerequisite: Permission of instructor required.

• OIDD6900 - Manag Decsn Making

  The course is built around lectures reviewing multiple empirical studies, class discussion,and a few cases. Depending on the instructor, grading is determined by some combination of short written assignments, tests, class participation and a final project (see each instructor's syllabus for details).

• OIDD9890 - Topics in Oidd

  The specific content of this course varies form semester to semester, depending on student and faculty interests.

• OIDD9999 - OIDD 9999

  Independent Study

• PSYC4900 - Sci of Behavior Change

  The objective of this 14-week discussion-based seminar for advanced undergraduates is to expose students to cutting-edge research from psychology and economics on the most effective strategies for changing behavior sustainably and for the better (e.g., promoting healthier eating and exercise, encouraging better study habits, and increasing savings rates). The weekly readings cover classic and current research in this area. The target audience for this course is advanced undergraduate students interested in behavioral science research and particularly those hoping to learn about using social science to change behavior for good. Although there are no pre-requisites for this class, it is well-suited to students who have taken (and enjoyed) courses like OIDD 2900: Decision Processes, PPE 2030/PSYC 2650: Behavioral Economics and Psychology, and MKTG 2660: Marketing for Social Impact and are interested in taking a deeper dive into the academic research related to promoting behavior change for good. Instructor permission is required to enroll in this course. Please complete the application if interested in registering for this seminar: http://bit.ly/bcfg-class-2020. The application deadline is July 31, 2020. Prerequisite: Permission of instructor required.

• Thinkers50 Strategy Award, 2021
• Thinkers50 Top 50 Management Thinker, 2021
• Award for the Best 2019 Academy of Management Journal Article, 2020
• The Robert B. Cialdini Prize from SPSP, 2020
• Named a Fellow of the Association for Psychological Science, 2020
• Finalist for the Thinkers50 Radar Award, 2017
• William F. O’Dell Award for the Most Impactful 2012 Journal of Marketing Research Article, 2017
• Excellence in Teaching Award for the Undergraduate Division at Wharton, 2016
• Elected Faculty Marshal for Wharton MBA Class of 2015, 2015
• Finalist for the Anvil Award for the Most Outstanding MBA Teacher at Wharton, 2015
• Excellence in Teaching Award for the Undergraduate Division at Wharton, 2015
• Society for Judgment and Decision Making FABBS Early Career Award Winner, 2015
• Marketing Science Institute Young Scholar, 2015
• SSRN Honor: Author of One of the 10 Most Downloaded Papers of the Year, 2014
• Finalist for the Anvil Award for the Most Outstanding MBA Teacher at Wharton, 2014
• Finalist for the Paul E. Green Award for the Best 2012 Journal of Marketing Research Article, 2013
• Voted Winner of the Wharton “Iron Prof” Competition, 2013
• Dorinda and Mark Winkelman Distinguished Scholar Award, 2012
• Poets & Quants Selection: “World’s Best 40 B-School Professors under the Age of 40”, 2011
• The Wyss Award from Harvard Business School for Excellence in Doctoral Research, 2008
• The Lore von Jaskowsky Memorial Prize in Engineering from Princeton University, 2004
• The Willard Thorp Thesis Prize in American Studies from Princeton University, 2004
• Omega Rho Undergraduate Project Research Award from INFORMS, 2004

• What we learned from Philadelphia’s vaccine lottery, The Philadelphia Inquirer - 09/29/2022 Description

  Whether developing a safe vaccine or figuring out how to encourage its adoption, the same scientific method — systematically experimenting to see what works and what doesn’t — is key.

• The Dark Side of Networking, The Atlantic - 09/13/2017
• What Makes Online Content Viral? Research Shows It's Anger, Shock and Awe, American Marketing Association - 08/05/2017
• The Cost-Effective Power Of Psychological Nudges, Forbes - 07/19/2017
• The 1 mistake we all make when it comes to serious decisions, TODAY - 06/17/2017
• For Education Interventions, a Little 'Nudge' Can Go a Long Way, Education Week - 06/08/2017
• Behavioral 'nudges' offer a cost-effective policy tool, Science Daily - 06/08/2017
• Adopting Financial Habits That Stick, Forbes - 06/07/2017
• 3 Easy Steps to Turn Around Those Abandoned New Year’s Resolutions, Huffington Post - 04/27/2017
• Could Solving This One Problem Solve All the Others?, Freakonomics - 04/05/2017
• Big Returns from Thinking Small, Freakonomics - 03/29/2017
• Even Work-Life Balance Experts Are Awful at Balancing Work and Life, Science of Us - 03/28/2017
• A New Way to Remember: The Power of Quirky Memory Jogs, Scientific American - 02/07/2017
• 5 New Year’s resolutions you’ll always break and how to change that, Today - 12/30/2016
• The Kardashians Can Help Your New Year’s Resolutions, The Huffington Post UK - 12/29/2016
• Why We Think We Can Keep Those New Year’s Resolutions, Scientific America - 12/29/2016
• Why objects can be more meaningful gifts than experiences, Vox - 12/23/2016
• The No-Fail Way to Motivate Yourself to Go to the Gym, According to Science, Reader's Digest - 12/07/2016
• Katherine Milkman ’04 studies why we do what we do—how to change it, Princeton Alumni Weekly - 10/26/2016
• Why Your Backup Plan Is Holding You Back, Fast Company - 09/21/2016
• Making a Backup Plan Undermines Performance, Harvard Business Review - 09/01/2016
• September Is Your Second-Chance January, New York Magazine - 09/01/2016
• Why Making a Backup Plan May Set You Up to Fail, The Washington Post - 08/17/2016
• “Plan A” Works Better When There Is No “Plan B”, The Wall Street Journal - 08/16/2016
• A “Stop in Your Tracks” Hack for Forgetfulness, Knowledge@Wharton - 08/15/2016
• The Downside To Being Prepared For Failure, Boston Globe - 08/05/2016
• The Long-Term Effects of Tracking Employee Behavior, Harvard Business Review - 07/18/2016
• It’s Tough To Make Good Health Choices, But Science Can Help, NPR - 07/07/2016
• The Simple Brain Trick That Will Transform Your Memory, Fast Company - 06/15/2016
• The Downside of Making a Backup Plan—And What To Do About It, Knowledge@Wharton - 06/02/2016
• How to Stop Procrastinating and Boost Your Willpower by Using ‘Temptation Bundling’, The Huffington Post - 05/23/2016
• How to Get Stubborn Items Crossed Off Your To-Do List, PC Magazine - 03/14/2016
• The Subtle Ways Gender Gaps Persist in Science, The Chronicle of Higher Education - 03/06/2016
• Is It the Right Time for a Fresh Start?, Scientific American - 03/01/2016
• 3 science-backed ways to combat procrastination, Business Insider - 02/14/2016
• Why It's Not Too Late To Make A New Year's Resolution, National Public Radio (Hidden Brain) - 01/19/2016
• Most Resolutions Fail Because They’re Not Important Enough, Harvard Business Review - 01/14/2016
• Seven Tricks in Economics to Help You Keep Your Resolutions, Bloomberg Business (Benchmark Podcast) - 01/07/2016
• Can Psychology Teach Us How To Stick To New Year's Resolutions?, National Public Radio (Hidden Brain) - 01/01/2016
• Donald Trump’s Unstoppable Virality, The New York Times - 12/29/2015
• The science of habit formation explains how to make goals that stick, Quartz - 12/29/2015
• My New Year’s Resolution: Regress to a Better Mean, Huffington Post - 12/23/2015
• How to Boost Your Retirement Savings in 2016, US News and World Report - 12/21/2015
• How to Make Yourself Do Everything You Hate Doing, Men’s Health - 12/18/2015
• New Year’s resolutions often fail. Good thing the year is full of fresh starts., The Washington Post - 12/15/2015
• What Is a Good New Year’s Resolution to Make?, Freakonomics Question of the Day - 12/10/2015
• Scientists say this simple psychological shift can help you achieve your goals, Business Insider - 12/09/2015
• The Best-Laid Backup Plans ..., National Public Radio (Hidden Brain) - 11/10/2015
• Why Organizations Don’t Learn, Harvard Business Review - 11/01/2015
• How to stop procrastinating, The Independent - 10/16/2015
• In The Classroom, Common Ground Can Transform GPAs, National Public Radio (Hidden Brain) - 10/13/2015
• Don’t Compare Your Savings to That of Your Peers, The Wall Street Journal - 09/20/2015
• Do We Always Follow The Crowd? Some Surprising Evidence from Peer Savings Information, Misbehaving (blog) - 09/14/2015
• How Harnessing Temptations Can Cure Procrastination, Fast Company - 08/19/2015
• Why Peer Pressure Doesn't Add Up To Retirement Savings, National Public Radio (Hidden Brain) - 07/31/2015
• A Wharton Professor Discovered a Psychological Trick That Will Help You Stop Procrastinating, Business Insider - 06/27/2015
• Please, Corporations, Experiment on Us, The New York Times - 06/19/2015
• Nudge Theory at Work, CBC News - 05/31/2015
• Kids Benefit From Having a Working Mom, Forbes - 05/15/2015
• This Is How You Power Through Tasks You Hate, Inc. - 05/07/2015
• Should We Really Behave Like Economists Say We Do?, Freakonomics Radio - 05/04/2015
• Leaders as Decision Architects, Harvard Business Review - 05/01/2015
• The Ultimate "Game of Thrones" Workout, The Daily Beast - 04/19/2015
• Professors Are More Responsive to Prospective Ph.D. Students Who Are White and Male, The Chronicle of Higher Education - 04/17/2015
• Faculty Prefer Women for Tenure-Track STEM Positions, US News & World Report - 04/13/2015
• When Willpower Isn’t Enough, Freakonomics Radio - 03/11/2015
• 10 Ways White People Are More Racist Than They Realize, Salon - 03/04/2015
• Health Experts Don't Always Sanitize Their Hands, Data Show, National Public Radio - 03/02/2015
• How to Make Yourself Go to the Gym, The New York Times - 01/10/2015
• How to Keep Your New Year’s Resolutions, Bloomberg View - 12/30/2014
• 10 Brilliant Strategies for Writing Viral Content, Forbes - 12/17/2014
• Why I’m Glad My Last Name Isn’t Kim, Lee or Park, Huffington Post - 12/09/2014
• Beware the Angry Birds, The Economist - 10/11/2014
• Changing Bad Habits the Smart Way, The Philadelphia Inquirer - 09/28/2014
• The Science Behind Why Jeff Bezos' 2-Pizza Rule Works, Business Insider - 09/25/2014
• Harassment in Science, Replicated, The New York Times - 08/11/2014
• Katherine Milkman on Why Fresh Starts Matter, Strategy + Business - 08/08/2014
• 6 Qualities to Make Your Videos Go Viral, Forbes - 08/07/2014
• Want to Make Better Choices? Contrive a ‘Fresh Start’ Out of Thin Air, New York Magazine - 06/27/2014
• 5 Expert-Approved Ways to Make Smarter Decisions, New York Magazine - 06/19/2014
• Why That Video Went Viral, The New York Times - 05/20/2014
• On the Cutting Edge of Viral, Forbes - 04/29/2014
• Deep-Seated Bias, Not Lack of Confidence, Knocks Women Off The Path to Success, The Washington Post - 04/28/2014
• Sex and Race Discrimination in Academia Starts Even Before Grad School, Scientific American - 04/27/2014
• Discrimination Starts Even Before Grad School, Study Finds, Nature - 04/25/2014
• The Bias for White Men, Inside Higher Ed - 04/24/2014
• Tips for Finding a Great Mentor: Be White and Be Male, Slate - 04/23/2014
• Evidence of Racial, Gender Biases Found in Faculty Mentoring, NPR - 04/22/2014
• Why you'll share this article (or not), SFGate - 04/19/2014
• Need More Motivation? Try Behavioral Economics, Runner's World - 01/31/2014
• When posting, take Aristotle's sage advice, The Philadelphia Inquirer - 01/25/2014
• The Six Things That Make Stories Go Viral Will Amaze, and Maybe Infuriate, You, The New Yorker - 01/21/2014
• How to Keep Your Resolutions, The New York Times - 01/05/2014
• Why We Form New Year's Resolutions, Huffington Post - 12/31/2013
• Why We Make Resolutions (and Why They Fail), The New Yorker - 12/30/2013
• Beyond New Year's Resolutions: Use Key Dates to Motivate Clients, ThinkAdvisor - 12/20/2013
• Three Ways to Keep Your Financial Resolutions in 2014, The Wall Street Journal - 12/17/2013
• Indulge Your Way to Self-Discipline, Inc. - 11/22/2013
• Doesn't This Just Make You So Mad? (Now Go 'Like' It), Huffington Post - 09/19/2013
• Make Good Decisions Faster, Psychology Today - 06/24/2013
• Good News Beats Bad on Social Networks, The New York Times - 03/19/2013
• Ten Questions: Katherine Milkman, The Financial Times - 10/29/2012
• On the Job: Diversity Helps Workers Feel Special, USA Today - 09/27/2012
• Race, Gender and Careers: Why 'Stuffing the Pipeline' Is Not Enough, Time - 09/07/2012
• Timing is Something, The Economist.com - 08/06/2012
• Going Viral on Twitter is a Random Act, New Scientist - 04/13/2012
• Female Politicians Point the Way Towards Equality, The Financial Times - 01/26/2012
• How to Help Women Rise through the Ranks, The Financial Times - 11/01/2011
• Prompts Promote Flu Shot Participation, Fox News - 10/17/2011
• Stubborn about Stocks: When Analysts Refuse to Admit They're Wrong, Time - 08/18/2011
• Tiger of the Week: Katherine Milkman '04, Princeton Alumni Weekly - 08/17/2011
• Stubbornness May Push Markets Down, Study Says, The Toronto Star - 08/16/2011
• When They Are Wrong, Analysts May Dig in Their Heels, Business Wire - 08/15/2011
• The Formula for a Most-Emailed Story, National Public Radio - 02/25/2011
• Something for the Weekend, The Financial Times - 10/15/2010
• Online Grocers: Keep on Trucking, The Economist - 07/17/2010
• Be Your Own Executive Coach, BusinessWeek - 06/15/2010
• Will You Be E-Mailing This Column? It's Awesome, The New York Times - 02/09/2010
• Fighting 'Loss Aversion': Obama's Health Care Dilemma, The Baltimore Sun - 07/30/2009
• Online Highbrow And Lowbrow Movie Rentals: Predicting How Long Customers Will Rent Films, Science Daily - 06/12/2009
• Why Customers Will Pay You to Restrain Them, Fast Company - 04/01/2009
• Odd Numbers: Harold & Kumar or Citizen Kane?, Conde Nast: Portfolio.com - 01/11/2008
• New Yorker Fiction by the Numbers, The New York Times - 06/01/2004

Knowledge @ Wharton

• How Dynamic Electricity Pricing Can Improve Market Efficiency, Knowledge @ Wharton - 11/12/2024
• Is Algorithmic Management Too Controlling?, Knowledge @ Wharton - 11/12/2024
• The Hidden Cost of AI Energy Consumption, Knowledge @ Wharton - 11/12/2024
• Charitable and Political Giving | Pinar Yildirim, Knowledge @ Wharton - 11/12/2024
• The Future of Banking, Knowledge @ Wharton - 11/11/2024
• Election Statistics, Knowledge @ Wharton - 11/06/2024
• Robots Are Taking Over Low-skilled Jobs — and Changing Votes, Knowledge @ Wharton - 11/05/2024
• Crypto Politics: Liberals’ and Conservatives’ Confidence in Cryptocurrencies, Knowledge @ Wharton - 11/05/2024
• Leadership and Elections | Mike Useem, Knowledge @ Wharton - 11/05/2024
• Automation Is Harming Low-skilled Workers and Possibly Their Voting Preferences, Knowledge @ Wharton - 11/01/2024