Predicting Personality Using Novel Mobile Phone-Based Metrics | de Montjoye, Quoidbach, Robic, Pentland

Yves-Alexandre de Montjoye, Jordi Quoidbach, Florent Robic, Alex (Sandy) Pentland; Predicting Personality Using Novel Mobile Phone-Based Metrics; In: A.M. Greenberg, W.G. Kennedy, N.D. Bos (editors) Social Computing, Behavioral-Cultural Modeling and Prediction as Proceedings of Social Computing, Behavioral (SBP 2013), Lecture Notes in Computer Science, vol 7812; 2013; paywalls: Springer, ACM.

Abstract

The present study provides the first evidence that personality can be reliably predicted from standard mobile phone logs. Using a set of novel psychology-informed indicators that can be computed from data available to all carriers, we were able to predict users’ personality with a mean accuracy across traits of 42% better than random, reaching up to 61% accuracy on a three-class problem. Given the fast growing number of mobile phone subscription and availability of phone logs to researchers, our new personality indicators open the door to exciting avenues for future research in social sciences. They potentially enable cost-effective, questionnaire-free investigation of personality-related questions at a scale never seen before.

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On Virtual Economies | Edward Castronova

Edward Castronova
is Associate Professor of Economics at California State University, Fullerton, USA.Author’s homepage

On Virtual Economies

by Edward Castronova

Abstract:

Currently, several million people have accounts in massively multiplayer online games. The population of virtual worlds has grown rapidly since 1996; significantly, each world also seems to grow its own economy, with production, assets and trade with Earth economies. This paper explores two questions about these developments. First, will these economies grow in importance? Second, if they do grow, how will that affect real-world economies and governments? To shed light on the first question, the paper presents a simple choice model of the demand for game time. The model reveals a certain puzzle about puzzles and games: in the demand for these kinds of interactive entertainment goods, people reveal that they are willing to pay money to be constrained. Still, the nature of games as a produced good suggests that technological advances, and heavy competition, will drive the future development of virtual worlds. If virtual worlds do become a large part of the daily life of humans, their development may have an impact on the macroeconomies of Earth. It will also raise certain constitutional issues, since it is not clear, today, exactly who has jurisdiction over these new economies.


<ahem>To claim that there is a problematic at work here in the juristictional supervision of these online entertainment services is specious, at best; and at least, willfully ignorant.</ahem>  Who owns the computers upon which they operate, and to whom is payment made to allow participation thereon?  These, at least, are the subjects of jurisdictional supervision.

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Using Smartphones for Collecting Behavioral Data in Psychological Science: Opportunities, Practical Considerations, and Challenges | Harari, Lane, Wang, Crosier, Campbell, Gosling

Gabriella M. Harari, Nicholas D. Lane, Rui Wang, Benjamin S. Crosier,
Andrew T. Campbell, Samuel D. Gosling; Using Smartphones for Collecting Behavioral Data in Psychological Science: Opportunities, Practical Considerations, and Challenges, draft; To appear in Perspectives in Psychological Science; WHEN?; 41 pages (double spaced); 2016-11-28; landing.

Abstract

Smartphones now offer the promise of collecting behavioral data unobtrusively, in situ, as it unfolds in the course of daily life. Data can be collected from the onboard sensors and other phone logs embedded in today’s off-the-shelf smartphone devices. These data permit fine- grained, continuous collection of people’s social interactions (e.g., speaking rates in conversation, size of social groups, calls, and text messages), daily activities (e.g., physical activity, sleep) and mobility patterns (e.g., frequency and duration of time spent at various locations). Here we draw on the lessons from the first wave of smartphone-sensing research to highlight areas of opportunity for psychological research, present practical considerations for designing smartphone studies, and discuss the ongoing methodological and ethical challenges associated with research in this domain. It is hoped that these practical guidelines will facilitate the use of smartphones as a behavioral observation tool in psychological science.

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  60. Wang R., Harari G. M., Hao P., Zhou X., Campbell A. (2015). SmartGPA: How smartphones can assess and predict academic performance of college students. In Mase K., Langheinrich M., Gatica-Perez D., Gellersen H., Choudhury T., Yatani K. (Chairs), Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 295–306). New York, NY: Association for Computing Machinery. doi:10.1145/2750858.2804251 Google Scholar CrossRef
  61. Wrzus C., Brandmaier A. M., von Oertzen T., Müller V., Wagner G. G., Riediger M. (2012). A new approach for assessing sleep duration and postures from ambulatory accelerometry. PLoS ONE, 7, e48089. doi:10.1371/journal.pone.0048089 Google Scholar CrossRef, Medline
  62. Wrzus C., Mehl M. R. (2015). Lab and/or field? Measuring personality processes and their social consequences. European Journal of Personality, 29, 250–271. doi:10.1002/per.1986 Google Scholar CrossRef
  63. Yarkoni T. (2012). Psychoinformatics: New horizons at the interface of the psychological and computing sciences. Current Directions in Psychological Science, 21, 391–397. Google Scholar Link

The Megashifts in ‘Technology vs. Humanity’ | Gerd Leonhard

Megashifts, of Gerd Leonhard
Teaser: Riffing on a key theme from Futurist Gerd’s 2016 book on Technology vs Humanity

tl;dr → This is a promotional site for the book, still in the promotional cycle

Gerd Leonhard; Technology vs. Humanity: The Coming Clash Between Man and Machine; Fast Future Publishing; 2016-09-06; 184 pages; Amazon:0993295827; Kindle: $10, paper: $25+SHT; previously filled.

Framework

contra…
  • Leonhard’s teleological transformation framework themed on noun forms of verbs (“-tion”) in Technology versus Humanity
  • Kevin Kelly’s teleological transformation framework themed on gerunds
    The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future; required for PDV-91; separately noted..
  • Sheryl Connelly’s Metagrends,
    10 Trends That Could Change World; adtechevents; Sheryl Connelly (Ford Motor Company); On YouTube; 2013-11-13; 46:52 (Sheryl starts at 8:00); separately filled; separately noted.
  • Faith Popcorn’s Megatrends
    from back in the day; from back in the previous century.

Listicle

The “megatrends” “megashifts”

  1. Digitization
  2. Mobilization
  3. Screenification
  4. Disintermediation
  5. Transformation
  6. Intelligization
  7. Automation
  8. Virtualization
  9. Anticipation
  10. Robotization

Followup: Explaniing Key Themes, 2016-09-04.

Outreach

About

Related

Sites

The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing | Akidau et al. (Google)

Tyler Akidau, Robert Bradshaw, Craig Chambers, Slava Chernyak, Rafael J. Fernandez-Moctezuma, Reuven Lax, Sam McVeety, Daniel Mills, ́ Frances Perry, Eric Schmidt, Sam Whittle; The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing; In Proceedings of the Conference on Very Large Data Bases (VLDB), Volume 8, Number 12; 2015-08-31; 12 pages; Google, paywall

Abstract

Unbounded, unordered, global-scale datasets are increasingly common in day-to-day business (e.g. Web logs, mobile usage statistics, and sensor networks). At the same time, consumers of these datasets have evolved sophisticated requirements, such as event-time ordering and windowing by features of the data themselves, in addition to an insatiable hunger for faster answers. Meanwhile, practicality dictates that one can never fully optimize along all dimensions of correctness, latency, and cost for these types of input. As a result, data processing practitioners are left with the quandary of how to reconcile the tensions between these seemingly competing propositions, often resulting in disparate implementations and systems.

We propose that a fundamental shift of approach is necessary to deal with these evolved requirements in modern data processing. We as a field must stop trying to groom unbounded datasets into finite pools of information that even- tually become complete, and instead live and breathe under the assumption that we will never know if or when we have seen all of our data, only that new data will arrive, old data may be retracted, and the only way to make this problem tractable is via principled abstractions that allow the practitioner the choice of appropriate tradeoffs along the axes of interest: correctness, latency, and cost.

In this paper, we present one such approach, the Dataflow Mode , along with a detailed examination of the semantics it enables, an overview of the core principles that guided its design, and a validation of the model itself via the real-world experiences that led to its development

References

  1. Daniel J. Abadi , Don Carney , Ugur Çetintemel , Mitch Cherniack , Christian Convey , Sangdon Lee , Michael Stonebraker , Nesime Tatbul , Stan Zdonik, Aurora: a new model and architecture for data stream management, The VLDB Journal — The International Journal on Very Large Data Bases, v.12 n.2, p.120-139, August 2003  [doi>10.1007/s00778-003-0095-z]
  2. Tyler Akidau , Alex Balikov , Kaya Bekiroğlu , Slava Chernyak , Josh Haberman , Reuven Lax , Sam McVeety , Daniel Mills , Paul Nordstrom , Sam Whittle, MillWheel: fault-tolerant stream processing at internet scale, Proceedings of the VLDB Endowment, v.6 n.11, p.1033-1044, August 2013  [doi>10.14778/2536222.2536229]
  3. Alexander Alexandrov , Rico Bergmann , Stephan Ewen , Johann-Christoph Freytag , Fabian Hueske , Arvid Heise , Odej Kao , Marcus Leich , Ulf Leser , Volker Markl , Felix Naumann , Mathias Peters , Astrid Rheinländer , Matthias J. Sax , Sebastian Schelter , Mareike Höger , Kostas Tzoumas , Daniel Warneke, The Stratosphere platform for big data analytics, The VLDB Journal — The International Journal on Very Large Data Bases, v.23 n.6, p.939-964, December 2014  [doi>10.1007/s00778-014-0357-y]
  4. Apache. Apache Hadoop. http://hadoop.apache.org, 2012.
  5. Apache. Apache Storm. http://storm.apache.org, 2013.
  6. Apache. Apache Flink. http://flink.apache.org/, 2014.
  7. Apache. Apache Samza. http://samza.apache.org, 2014.
  8. R. S. Barga et al. Consistent Streaming Through Time: A Vision for Event Stream Processing. In Proc. of the Third Biennial Conf. on Innovative Data Systems Research (CIDR), pages 363–374, 2007.
  9. Irina Botan , Roozbeh Derakhshan , Nihal Dindar , Laura Haas , Renée J. Miller , Nesime Tatbul, SECRET: a model for analysis of the execution semantics of stream processing systems, Proceedings of the VLDB Endowment, v.3 n.1-2, September 2010  [doi>10.14778/1920841.1920874]
  10. Oscar Boykin , Sam Ritchie , Ian O’Connell , Jimmy Lin, Summingbird: a framework for integrating batch and online MapReduce computations, Proceedings of the VLDB Endowment, v.7 n.13, p.1441-1451, August 2014  [doi>10.14778/2733004.2733016]
  11. Cask. Tigon. http://tigon.io/, 2015.
  12. Craig Chambers , Ashish Raniwala , Frances Perry , Stephen Adams , Robert R. Henry , Robert Bradshaw , Nathan Weizenbaum, FlumeJava: easy, efficient data-parallel pipelines, Proceedings of the 31st ACM SIGPLAN Conference on Programming Language Design and Implementation, June 05-10, 2010, Toronto, Ontario, Canada  [doi>10.1145/1806596.1806638]
  13. B. Chandramouli et al. Trill: A High-Performance Incremental Query Processor for Diverse Analytics. In Proc. of the 41st Int. Conf. on Very Large Data Bases (VLDB), 2015.
  14. Sirish Chandrasekaran , Owen Cooper , Amol Deshpande , Michael J. Franklin , Joseph M. Hellerstein , Wei Hong , Sailesh Krishnamurthy , Samuel R. Madden , Fred Reiss , Mehul A. Shah, TelegraphCQ: continuous dataflow processing, Proceedings of the 2003 ACM SIGMOD international conference on Management of data, June 09-12, 2003, San Diego, California  [doi>10.1145/872757.872857]
  15. Jianjun Chen , David J. DeWitt , Feng Tian , Yuan Wang, NiagaraCQ: a scalable continuous query system for Internet databases, Proceedings of the 2000 ACM SIGMOD international conference on Management of data, p.379-390, May 15-18, 2000, Dallas, Texas, USA  [doi>10.1145/342009.335432]
  16. Jeffrey Dean , Sanjay Ghemawat, MapReduce: simplified data processing on large clusters, Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation, p.10-10, December 06-08, 2004, San Francisco, CA
  17. EsperTech. Esper. http://www.espertech.com/esper/, 2006.
  18. Alan F. Gates , Olga Natkovich , Shubham Chopra , Pradeep Kamath , Shravan M. Narayanamurthy , Christopher Olston , Benjamin Reed , Santhosh Srinivasan , Utkarsh Srivastava, Building a high-level dataflow system on top of Map-Reduce: the Pig experience, Proceedings of the VLDB Endowment, v.2 n.2, August 2009  [doi>10.14778/1687553.1687568]
  19. Google. Dataflow SDK. https://github.com/GoogleCloudPlatform/DataflowJavaSDK, 2015.
  20. Google. Google Cloud Dataflow. https://cloud.google.com/dataflow/, 2015.
  21. Theodore Johnson , S. Muthukrishnan , Vladislav Shkapenyuk , Oliver Spatscheck, A heartbeat mechanism and its application in gigascope, Proceedings of the 31st international conference on Very large data bases, August 30-September 02, 2005, Trondheim, Norway
  22. Jin Li , David Maier , Kristin Tufte , Vassilis Papadimos , Peter A. Tucker, Semantics and evaluation techniques for window aggregates in data streams, Proceedings of the 2005 ACM SIGMOD international conference on Management of data, June 14-16, 2005, Baltimore, Maryland  [doi>10.1145/1066157.1066193]
  23. Jin Li , Kristin Tufte , Vladislav Shkapenyuk , Vassilis Papadimos , Theodore Johnson , David Maier, Out-of-order processing: a new architecture for high-performance stream systems, Proceedings of the VLDB Endowment, v.1 n.1, August 2008  [doi>10.14778/1453856.1453890]
  24. David Maier , Jin Li , Peter Tucker , Kristin Tufte , Vassilis Papadimos, Semantics of data streams and operators, Proceedings of the 10th international conference on Database Theory, January 05-07, 2005, Edinburgh, UK  [doi>10.1007/978-3-540-30570-5_3]
  25. N. Marz. How to beat the CAP theorem. http://nathanmarz.com/blog/how-to-beat-the-cap-theorem.html, 2011.
  26. S. Murthy et al. Pulsar — Real-Time Analytics at Scale. Technical report, eBay, 2015.
  27. SQLStream. http://sqlstream.com/, 2015.
  28. Utkarsh Srivastava , Jennifer Widom, Flexible time management in data stream systems, Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, June 14-16, 2004, Paris, France  [doi>10.1145/1055558.1055596]
  29. Ashish Thusoo , Joydeep Sen Sarma , Namit Jain , Zheng Shao , Prasad Chakka , Suresh Anthony , Hao Liu , Pete Wyckoff , Raghotham Murthy, Hive: a warehousing solution over a map-reduce framework, Proceedings of the VLDB Endowment, v.2 n.2, August 2009  [doi>10.14778/1687553.1687609]
  30. Peter A. Tucker , David Maier , Tim Sheard , Leonidas Fegaras, Exploiting Punctuation Semantics in Continuous Data Streams, IEEE Transactions on Knowledge and Data Engineering, v.15 n.3, p.555-568, March 2003  [doi>10.1109/TKDE.2003.1198390]
  31. James Whiteneck , Kristin Tufte , Amit Bhat , David Maier , Rafael J. Fernández-Moctezuma, Framing the question: detecting and filling spatial-temporal windows, Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming, p.19-22, November 02-02, 2010, San Jose, California  [doi>10.1145/1878500.1878506]
  32. F. Yang and others. Sonora: A Platform for Continuous Mobile-Cloud Computing. Technical Report MSR-TR-2012-34, Microsoft Research Asia.
  33. Matei Zaharia , Mosharaf Chowdhury , Tathagata Das , Ankur Dave , Justin Ma , Murphy McCauley , Michael J. Franklin , Scott Shenker , Ion Stoica, Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing, Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation, April 25-27, 2012, San Jose, CA
  34. Matei Zaharia , Tathagata Das , Haoyuan Li , Timothy Hunter , Scott Shenker , Ion Stoica, Discretized streams: fault-tolerant streaming computation at scale, Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles, November 03-06, 2013, Farminton, Pennsylvania  [doi>10.1145/2517349.2522737]

Apache Beam

beam.apache.org

Concept

  • Batch and Streaming are “the same code”
  • A pipeline model

Mentions

Cultures

  • Java
  • Python

Code

Documentation

Alignments

Background

Technology vs Humanity | Gerd Leonhard

Gerd Leonhard; Technology vs. Humanity: The Coming Clash Between Man and Machine; Fast Future Publishing; 2016-09-06; 184 pages; Amazon:0993295827; Kindle: $10, paper: $25+SHT.

Concepts

  • Fourteen Points, herein
  • Megashifts, separately filled.

Table of Contents

  • Introduction
  • Chapter 1: A Prologue to the Future
  • Chapter 2: Tech vs. Us
  • Chapter 3: The Megashifts
  • Chapter 4: Automating Society
  • Chapter 5: The Internet of Inhuman Things
  • Chapter 6: Magic to Manic to Toxic
  • Chapter 7: Digital Obesity: Our Latest Pandemic
  • Chapter 8: Precaution vs. Proaction
  • Chapter 9: Taking the Happenstance out of Happiness
  • Chapter 10: Digital Ethics
  • Chapter 11: Earth 2030: Heaven or Hell?
  • Chapter 12: Decision Time
  • Acknowledgements
  • Resources

Mentions

  • TVH → Technology versus Humanity

Promotions

Outreach

Listicle

Enumerated in the “Fourteen Points” style:
<quote>

  1. Embrace technology but don’t become it. Radical human augmentation via technological means will be a downgrade not an upgrade. Technology is exponential but humans are linear (and should remain so)
  2. Whatever can be digitized, automated and virtualized, will be – and anything that cannot be digitized or automated will become extremely valuable (i.e. our uniquely human qualities).
  3. Exponential technological change is #hellven (heaven and hell at the same time). Will we be tool-makers or tool-made?
  4. Technology does not have ethics but our society depends on them. Just because we can does not mean we should.
  5. Technology is not what we seek but how we seek: the tools should not become the purpose. Yet increasingly, technology is leading us to ‘forget ourselves’.
  6. Efficiency should never become more important than humanity, because not everything that can be automated, should be – and happiness cannot be automated.
  7. Humanity will change more in the next 20 years than the previous 300 years (yes, seriously). It’s time to decide what we want to be.
  8. To safeguard humanity’s future, we must invest as many resources in human happiness and the continued flourishing of humanity as we do in developing new tools and technologies. Exponential technologies need exponential humanity; every great algorithm needs a great androrithm!
  9. We are at the pivot point of exponential and combinatorial technological evolution: all around us, science fiction is becoming science fact – and the future will increasingly arrive gradually then suddenly. We need to proceed with a very wise combination of precaution and pro-action.
  10. The immediate future clearly is all about technology yet the bigger future lies in transcending it
  11. It is now clear that indeed, ‘software is eating the world’ (Marc Andreessen, 2011) but increasingly I am worried about the possibility that ‘software is cheating the world’
  12. Silicon Valley and China should not become ‘mission control for humanity‘. We need a global digital ethics counsel that transcends the agenda of investors and the military.
  13. Just as peace is not merely the absence of war, progress is not merely the presence of technology (in other words, technology is not the saviour of humanity – we are!)
  14. The future is not just something that will happen tomorrow, the future is something that has already happened today but just didn’t notice it!

</quote>

Okay, WTF is Ethereum | Motherboard

Okay, WTF Is Ethereum?; Daniel Oberhaus; , Jordan Pearson; In Motherboard; 2017-06-16.
Teaser: A beginner’s guide to the world’s second most popular cryptocurrency.

Mentions

Also

  • worldwide supercomputer
  • decentralized microservices
  • link

Actualities

Vitalik Buterin, inventor of Ethereum. Image: Wikimedia Commons.

Referenced

Previously

In Motherboard

Intel: Joule’s burned, Edison switched off, and Galileo – Galileo is no more | The Register

Intel: Joule’s burned, Edison switched off, and Galileo – Galileo is no more; Shaun Nichols; In The Register; 2017-06-20.
Teaser: Chipzilla takes axe to IoT and embedded compute lines

Mentions


PCN Number Publish Date PCN Title Key Characteristics Product Categories Abstract
115599-00 2017-06-16
Intel(R) Server System E1208WTTGCNC, Intel(R) Server System E2224WTTGCS, and Intel(R) Server System E2312WTTGCS, , PCN 115599-00, Label, Update regulatory label to include BSMI RoHS text logo
Label
Server Boards and Platforms
Server Boards and Platforms, Label, Intel anticipates no impact to customers, see PCN detail for further information.
115395-01 2017-06-16
Intel(R) Omni-Path Edge Switch 100 Series 24 Port Managed Forward 2 PSU 100SWE24QF2, Intel(R) Omni-Path Edge Switch 100 Series 24 Port Forward 2 PSU 100SWE24UF2, Intel(R) Omni-Path Edge Switch 100 Series 24 Port Forward 1 PSU 100SWE24UF1, Intel(R) Omni-Path
Label
Networking Products
Networking Products, Label, Intel anticipates no impact to customers, see PCN detail for further information.
115583-00 2017-06-16
Recon Jet¬ Pro Plus, Recon Jet¬ Pro and Recon Jet¬ Spare Lens Products , PCN 115583-00, Product Discontinuance, End of Life
Product Discontinuance
Consumer Electronics
Consumer Electronics, Product Discontinuance, Please determine your remaining demand for these products and place your last product discontinuance orders in accordance with the key milestones in the PCN.
115581-00 2017-06-16
Intel(R) Galileo Board and Intel(R) Galileo Gen2 Board Products, PCN 115581-00, Product Discontinuance, End of Life
Product Discontinuance
Compute Module
Compute Module, Product Discontinuance, Please determine your remaining demand for these products and place your last product discontinuance orders in accordance with the key milestones in the PCN.
115580-00 2017-06-16
Intel(R) Joule¬ 570x Compute Module, Intel(R) Joule¬ 550x Compute Module, Intel(R) Joule¬ 570x Developer Kit and Intel(R) Joule¬ 550x Developer Kit Products, PCN 115580-00, Product Discontinuance, End of Life
Product Discontinuance
Compute Module
Compute Module, Product Discontinuance, Please determine your remaining demand for these products and place your last product discontinuance orders in accordance with the key milestones in the PCN.
115579-00 2017-06-16
Select Intel(R) Edison Compute Module, Intel(R) Edison Breakout Board, Intel(R) Edison Kit for Arduino*, and Intel(R) Edison Breakout Board Kit Products , PCN 115579-00, Product Discontinuance, End of Life
Product Discontinuance
Compute Module
Compute Module, Product Discontinuance, Please determine your remaining demand for these products and place your last product discontinuance orders in accordance with the key milestones in the PCN.
115591-00 2017-06-15
Intel(R) NUC Kit w/ 16GB Intel(R) Optane¬ memory, NUC7i3BNHX1, Intel(R) NUC Kit w/ 16GB Intel(R) Optane¬ memory, NUC7i5BNHX1, Intel(R) NUC Kit w/ 16GB Intel(R) Optane¬ memory, NUC7i7BNHX1, Intel(R) NUC Kit, NUC7i3BNH, Intel(R) NUC Kit, NUC7i3BNK, Intel(R) NUC Kit, NUC7
Product Design
Desktop Boards, Consumer Electronics, Compute Module
Compute Module, Consumer Electronics, Desktop Boards, Product Design, Intel anticipates no impact to customers, see PCN detail for further information.
115589-00 2017-06-15
Select Intel(R) Optane¬ Memory Series Products, PCN 115589-00, Label, Caution and Regulatory Label Update
Label
Flash Memory Products
Flash Memory Products, Label, Intel anticipates no impact to customers, see PCN detail for further information.
115585-00 2017-06-15
Intel(R) NUC Kit, NUC6i3SYH, Intel(R) NUC Kit, NUC6i3SYK, Intel(R) NUC Kit, NUC6i5SYH, Intel(R) NUC Kit, NUC6i5SYK, PCN 115585-00, Product Design, Product Material, BIOS Update and alternate vendor addition
Product Design
Desktop Boards, Consumer Electronics, Compute Module
Compute Module, Consumer Electronics, Desktop Boards, Product Design, Intel anticipates no impact to customers, see PCN detail for further information.
115569-00 06/14/2017
Intel(R) Thermal Solution BXTS13X, PCN 115569-00, Product Design, Documentation, Replace (TIM) Thermal Interface Material Packets with Pre-Applied Thermal Material
Product Design
Desktop – Thermal Solutions, Server – Thermal Solutions
Desktop – Thermal Solutions, Server – Thermal Solutions, Product Design, Intel anticipates no impact to customers, see PCN detail for further information.
1 2 3 4 5 6 7 8 9 10 >>

 

Stanford PDV-91 — How to Think Like a Futurist: Improve Your Powers of Imagination, Invention, and Capacity for Change

Signup

Syllabus

Promotion

Can you picture the three most important technologies in your life twenty years from today? Could you tell a vivid story about the single biggest challenge you’ll personally face five years from now? What about the biggest challenge the world will face in fifty years? Thinking about the far-off future isn’t just an exercise in intellectual curiosity. It’s a practical skill that, new research reveals, has a direct neurological link to greater creativity, empathy, and optimism. In other words, futurist thinking gives you the ability to create change in your own life and the world around you, today.

In this course, you’ll learn essential habits for thinking about the future that will increase the power of your practical imagination. These futurist habits include counterfactual thinking (imagining how the past could have turned out differently); signals hunting (looking for leading-edge examples of the kind of change you want to see in the world); and autobiographical forecasting. We’ll discuss the scientific research that explains how each habit can have a positive impact on your life, from helping you become a more original thinker to making you a more persuasive communicator. By the end of this course, you will have the playful and practical tools you need to imagine how the world (and your life) could be very different—and to use your newfound imagination to create change today.

Jane McGonigal, Director of Games Research and Development, Institute for the Future

Jane McGonigal created forecasting games for partners like the World Bank, the Rockefeller Foundation, the New York Public Library, and the American Heart Association. Well known for her TED talks on creativity and resilience, she is the author of two New York Times bestselling books, Reality Is Broken and SuperBetter. She received a PhD in performance studies from UC Berkeley.

References

  • Kevin Kelly, The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future, ISBN:978-0143110378,
  • Jane McGonigal, Reality is Broken, ISBN:978-0143120612,
  • Rebecca Solnit, Hope in the Dark: Untold Histories, Wild Possibilities, ISBN:1608465764
  • Kevin Kelly, The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future, ISBN:978-0143110378, paperback: 2017-06-06.
  • Jane McGonigal, Reality is Broken, ISBN:978-0143120612,
  • Rebecca Solnit, Hope in the Dark: Untold Histories, Wild Possibilities, ISBN 1608465764,