Ben Waber
 | Some of this article's listed sources may not be reliable. (March 2018) (Learn how and when to remove this template message) |
| Ben Waber | |
|---|---|
| Born | 1984 (age 39–40) |
| 🏡 Residence | Boston, MA |
| 🎓 Alma mater | Boston University Massachusetts Institute of Technology |
| 💼 Occupation | |
| Known for | People Analytics, Human Dynamics, Social Physics, Computational Social Science |
| 👩 Spouse(s) | Rebecca Waber |
Dr. Benjamin Waber (born January 11, 1984) is a researcher, author, entrepreneur, and co-founder of Humanyze.
Academic Background[edit]
Waber received his BA and MA in Computer Science from Boston University. As an undergrad at BU, he worked as a computer vision researcher, building a large, functional image analysis software. Waber went on to complete his Ph.D. at the Massachusetts Institute of Technology in Alex Pentland's Human Dynamics Lab, specializing in social physics, behavioral data, and organizational network analysis.[1] He worked as a research assistant at the MIT Media Lab and as a research fellow at the program for Networked Governance at the Harvard University Kennedy School of Government. Waber's research is published in journals like Nature, Scientifc Reports, and IEEE Transactions on Systems, Man, and Cybernetics.[2][3][4] In 2017, Waber taught a MIT Professional Education course, "People Analytics: Transforming Management with Behavioral Data" with Pentland. The course is also being offered in Tokyo, Japan in 2018.[5]
Career[edit]
Waber began his career by consulting for LG, McKinsey & Company, and Gartner on technology trends, social networks, and organizational design.[6]
He co-founded Humanyze in 2010 with fellow MIT Media Lab Ph.D's, Taemie Kim, Daniel Olguín Olguín, and Tuomas Jaanu. As CEO, Waber helped raise $4M in Series A financing from Romulus Capital, growing the company from 5 to 40 employees.[7]
Waber has spoken at events such as the World Economic Forum in 2016[8], re:Work Google in 2014[9][10], Wharton People Analytics Conference in 2015 and 2017[11], and Microsoft Poptech in 2017.[12]
In 2013, Waber published an international best seller, "People Analytics: How Social Sensing Technology will Transform Business and What It tells Us about the Future of Work".[13] Waber is a contributing reporter to Atlantic's Business site, Quartz, Bloomberg Businessweek, and Harvard Business Review.[14][15][16][17]
Waber is a staunch advocate for data privacy.[18][19] He believes that companies should not record conversation content, they should aggregate and anonymize all data, and that individuals should be able to own their own data.[20]
Awards and Honors[edit]
Waber was selected for the Harvard Business Review's 2016 List of Breakthrough Ideas and for the Technology Review's Top 10 Emerging Technologies.[21] Waber was listed as a top person in people analytics by David Green and Cake HR.[22][23]
Personal Life[edit]
Waber is married to Rebecca Waber, who was a member of the MIT Media Lab's E-Rationality Group and is a Senior Director of Innovation Strategy at Aetna. They have two sons, Josh and Micah, and a dog, Rufus.[24]
Further Reading[edit]
Humanyze Home Page
MIT Media Lab Research Group
Book Published
Ben Waber publications indexed by Google Scholar
References[edit]
- ↑ Waber, Benjamin N.; Olguin Olguin, Daniel; Kim, Taemie; Pentland, Alex (12 August 2008). "Understanding Organizational Behavior with Wearable Sensing Technology". SSRN 1263992. Missing or empty
|url=(help) - ↑ "Sensible Organizations: Technology and Methodology for Automatically Measuring Organizational Behavior - IEEE Journals & Magazine". ieeexplore.ieee.org.
- ↑ Wu, Lynn; Waber, Benjamin N.; Aral, Sinan; Brynjolfsson, Erik; Pentland, Alex (7 May 2008). "Mining Face-to-Face Interaction Networks using Sociometric Badges: Predicting Productivity in an IT Configuration Task". SSRN 1130251. Missing or empty
|url=(help) - ↑ "Understanding the link between changes in social support and changes in outcomes with the sociometric badge". 4 May 2018.
- ↑ lukem (4 November 2016). "People Analytics: Transforming Management with Behavioral Data".
- ↑ "Quartz at Work". Quartz at Work.
- ↑ 7. https://techcrunch.com/2016/05/05/humanyze-raises-4m-to-help-businesses-better-understand-employee-productivity/
- ↑ "Annual Meeting of the New Champions 2016" (PDF). World Economic Forum. Retrieved July 13, 2018.
- ↑ "Google re:Work: Shaping the Future of HR - Behavioral Scientist". Behavioral Scientist. 2014-12-02. Retrieved 2018-05-18.
- ↑ "re:Work - Data from the lunchroom could inform the boardroom". rework.withgoogle.com. Retrieved 2018-05-18.
- ↑ "Wharton People Analytics Conference 2014: Case Studies: Network Analytics: Cross, Waber, & Arena - People Analytics". 7 June 2014.
- ↑ "The Changing World of Work". news.microsoft.com. Retrieved 2018-05-18.
- ↑ results, search (2 May 2013). People Analytics: How Social Sensing Technology Will Transform Business and What It Tells Us about the Future of Work. FT Press. ASIN 0133158314.CS1 maint: ASIN uses ISBN (link) Search this book on
- ↑ "The cult of productivity has a counterproductive flaw".
- ↑ "The Next Big Thing in Big Data: People Analytics".
- ↑ "What Data Analytics Says About Gender Inequality in the Workplace".
- ↑ "We Asked Men and Women to Wear Sensors at Work. They Act the Same but Are Treated Very Differently". 23 October 2017.
- ↑ "Three Questions for Ben Waber - design mind". designmind.frogdesign.com.
- ↑ "'People Analytics' Through Super-Charged ID Badges".
- ↑ "HR Meets Data: How Your Boss Will Monitor You To Create The Quantified Workplace". 21 September 2015.
- ↑ "HBR's 10 Must Reads 2016: The Definitive Management Ideas of the Year from Harvard Business Review (with bonus McKinsey Award-Winning article". hbr.org.
- ↑ "HR Gurus A-Z List: Revisiting the Current Industry Experts for Q4 2017 CakeHR blog". 10 December 2017.
- ↑ "Top 40 HR & People Analytics articles of 2017". 15 January 2018.
- ↑ London, Jay. "Mining Data to Help Companies".
This article "Ben Waber" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Ben Waber. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
