21 Days to Happiness

Top Two Tips for Managing Stress and Improving Focus and Effectiveness

21 Days to Happiness

Did you know. According to the Statistic Brain website, 76% of people cite money and work as the main causes of their stress. As an organizational psychologist and happiness expert, I can tell you that people think it's normal to be stressed, overwhelmed and tired, but it's not!

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Increase Your Productivity and Your Happiness

21 Days to Happiness

Increase your effectiveness with this simple technique We all seem to be so busy these days! Being busy can add extra pressure to our schedules and mean that we need to be extra productive.

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Being Grateful

21 Days to Happiness

We have so much to be grateful for. It's that time of year.the holidays, the parties, the excitement! You probably have a lot to be grateful for and may take some things for granted. You don't need much in order to be happy. Many people without a lot still find real happiness in their daily lives.

Happiness Comes From Your Mind

21 Days to Happiness

What do You do When Feel Unhappy? Everyone has days when they feel down. What do you find helps you on those gloomy days? Do you go out for a meal? Maybe see a new movie? Visit a friend? Take a walk? Do you get a buzz from jogging or going to the gym? Maybe you find it energizing to go shopping.

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How Connections Create Happiness

21 Days to Happiness

Connections Are Key Do you want to know one of the best secrets to true happiness? It's probably not what you think. One of the greatest ways to have a happy life is to create connections with others. Does this sound too easy? Too hard? The truth is, relationships can be challenging.

Creating Happiness

21 Days to Happiness

Creativity or Problem-solving One of the amazing things about humans is our constant endeavor to create or improve things. When we are inspired to create something, we demonstrate our passions or talents. When we run into a problem, we want to fix it and come up with a solution.

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5 Easy Ways? to Improve Your Happiness

21 Days to Happiness

Variety is the Spice of Happiness Have you ever felt trapped by your day to day schedule? Maybe you feel like you're busy all the time or you simply don't have anything coming up soon that you're really looking forward to.

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Three Reasons Going Outside Makes Us Happier

21 Days to Happiness

This is the perfect time of year to boost your happiness by going outside every day. What's amazing is you don't have to spend hours outdoors in order to receive the happiness benefits. Just a few minutes each day is usually enough to make a big difference in our levels of happiness and energy.

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Give the Gift of Experiences

21 Days to Happiness

What do you buy the person who has everything? Have you heard people ask this question? Sometimes it seems overwhelming to try to think of a gift for a friend, coworker or loved one when they seem to have everything they could ever want already.

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5 Ways to Find Happiness and Inspiration at Work

21 Days to Happiness

Are you happy and inspired at work? If you spend eight hours a day, five days a week at work, you will spend more than 2,000 hours on the job in a year. That's a lot of time! If you enjoy your job, then 2,000 hours probably flies by.

Celebrate 21 Days to Happiness E-Learning with a 3 Day Happiness Challenge

21 Days to Happiness

It's the Most Wonderful Time of the Year - to Work on Your Happiness! This is the best time of the year to work on your happiness. It's almost Thanksgiving in the United States and just a few short weeks until Christmas.

20 Ways to Make Someone Smile

21 Days to Happiness

Spread Happiness with a Smile Do you want to put a smile on someone's face today? Maybe make their day a little better? It won't cost a single penny or much time to do just that.

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Are You Chasing the Butterfly of Happiness?

21 Days to Happiness

Is Happiness Like a Butterfly? Sometimes we treat happiness like it's an elusive butterfly in the garden of life. Imagine a young child in the garden on a summer day. He sees a beautiful butterfly flitting from flower to flower. He wants to see it close up, touch it, and hold it in his hands.

Nature: One of the Greatest Sources of Happiness

21 Days to Happiness

The Cost of Time Spent in Nature Going outside is free! Nature is there for everybody to stand and stare and take happiness and comfort from. The trees do not distinguish between rich and poor, strong and weak, man and woman. Warm sunshine is free; the glow of the moon is free.

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10 Keys to Happiness

21 Days to Happiness

We are Always Pursuing Happiness Think about it. every single thing we do is intended to make us happier. The people we choose to spend time with. The ways we spend our time. And yet sometimes we get distracted and do things that actually move us away from this goal.

Secrets of a Positive Attitude

21 Days to Happiness

Managing Your Mental Diet Are you bombarded by thoughts of negativity? Have feelings of insecurity, stress or worry? This is normal. just watch the news and notice how many stories are negative and dramatic! You are what you mentally and spiritually eat.

Work-Play Integration: the new Work-Life Balance

21 Days to Happiness

Integration for Life Harmony Balance. It's a nice word but the reality is hard to pin down. It may not even put us on the right track in our quest for fulfillment and happiness. Today we will talk more about "work-play integration".

5 Great Reasons Smiling Makes Us Successful

21 Days to Happiness

Smiling is a simple thing to do, but it can make a huge difference in how we feel and how we're perceived by the people around us. Here are some great reasons to give us a grin. Our smile shows others people that we are likeable and helps us connect.

Staying Focused on What Matters

21 Days to Happiness

Are you in a hurry? When you go about your day, take a moment to look at the people around you. Do they look like they're in a hurry to get somewhere? Have you had the experience of asking friends or coworkers to meet for a gathering, only to be told, "Sorry, I'm super busy"?

3 Steps to Deal With Worry

21 Days to Happiness

Are you a worrier? "I I know worry works because nothing I worry about ever happens." Have you heard of this quote? It sounds funny, but it's not far from the truth! It's normal to worry from time to time, but more and more people seem to worry about the smallest stuff.

Change Your Thoughts and the Rest Will Follow

21 Days to Happiness

"Progress is impossible without change, and those who cannot change their minds cannot change anything.” ” - George Bernard Shaw Creatures of Comfort Change often has a negative connotation for many people, especially when we have no choice.

7 Unique Ways to Make Someone Smile

21 Days to Happiness

Making Someone Smile is Easier Than You Think. Do you want to put a smile on someone's face? Maybe make their day a little bit brighter? It doesn't have to take much time or money on your part. In fact, many things can be done as a part of your normal routine and cost little or nothing.

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Finding Balance at Work and Home

21 Days to Happiness

Sometimes We Chase the Wrong Things In a culture obsessed with high tech gadgetry, cellphones, credit cards, fast cars, large houses, and job titles, it should be no surprise that most people experience stress and anxiety.

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What better way to start the new year?

21 Days to Happiness

" The new year stands before us, like a chapter in a book, waiting to be written. We can help write that story by setting goals." Melodie Beattie ​ Is there a better way to start the new year than to prioritize your happiness?

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How Office Plants Can Boost Your Happiness

21 Days to Happiness

Get a plant and bring nature indoors. Well, most of us are eager to take a few days off for the holidays. Here's an idea: plan to buy a plant for your office or home. If you don't have the chance to go outdoors as much as you would like, why not bring a little outdoors, indoors?

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Ingrid's Top Ten Happy Holiday Gift Ideas

21 Days to Happiness

It’s that exciting time of the year again! How I love the holidays: it's a time to share meals and snuggles with our loved ones.

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The 2019 Artificial Intelligence Index

Irving Wladawsky-Berger

AI has emerged as the defining technology of our era, as transformative over time as the steam engine, electricity, and the Internet.

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Discover2Learn

Jane Hart

Activities and Resources for self-isolation and beyond Be curious – Explore – Discover new things – Have fun – Learn Use your self-isolation time to invest in your future. Reduce boredom and anxiety. Discover2Learn. Modern Workplace Learning

Cynefin St David’s Day (5 of 5)

Dave Snowden

I don’t know if I displaying a keen anticipatory capability in focusing on Disorder, the all too often ignored fifth domain of Cynefin, in this annual update series; if so it was unconscious.

Shallow or Deep

Clark Quinn

I wrote about how I was frustrated with the lack of any decent learning expertise in too many vendors. And, lately I’ve been seeing more orgs making learning claims. Unrelated, of course, because it’s too soon. Still, are things improving?

How To Lead Remote Employees In The Wake Of COVID-19

Dan Pontefract

As of this writing, the World Health Organization (WHO) hasn’t declared COVID-19 (aka: coronavirus) a pandemic, but the likelihood grows by the hour. Whether or not it receives such a … Continue reading "How To Lead Remote Employees In The Wake Of COVID-19".

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The Coming Era of Decision Machines

Irving Wladawsky-Berger

“Artificial intelligence (AI) is the pursuit of machines that are able to act purposefully to make decisions towards the pursuit of goals,” wrote Harvard professor David Parkes in A Responsibility to Judge Carefully in the Era of P rediction Decision Machines , an essay recently published as part of Harvard’s Digital Initiative. “Machines need to be able to predict to decide, but decision making requires much more. Decision making requires bringing together and reconciling multiple points of view. Decision making requires leadership in advocating and explaining a path forward. Decision making requires dialogue.”. In April, 2017 I attended a seminar by University of Toronto professor Avi Goldfarb on the economic value of AI. Goldfarb explained that the best way to assess the impact of a new radical technology is to look at how the technology reduces the cost of a widely used function. For example, computers are essentially powerful calculators whose cost of digital operations have dramatically decreased over the past several decades. Over the years, we’ve learned to define all kinds of tasks in terms of digital operations, e.g., financial transactions, word processing, photography. Similarly, the Internet has drastically reduced the cost of communications and of access to all kinds of information, - including text, pictures, music and videos. Viewed through this lens, the AI revolution can be viewed as reducing the cost of predictions. Prediction means anticipating what is likely to happen in the future. Over the past decade, increasingly powerful and inexpensive computers, advanced machine learning algorithms, and the explosive growth of big data have enabled us to extract insights from all that data and turn them into valuable predictions. Given the widespread role of predictions in business, government and everyday life, AI is already having a major impact on many human activities. As was previously the case with arithmetic, communications and access to information, - we will be able to use predictions in all kinds of new applications. Over time, we’ll discover that lots of tasks can be reframed as prediction problems. But, “[it’s] decisions, not predictions, that have consequences,” notes Parkes. “ If the narrative of the present is one of managers who are valued for showing judgment in decision making… then the narrative of the future will be one in which we are valued for our ability to judge and shape the decision-making capabilities of machines. What will the decision machines of the future be optimizing for, on the basis of what data, and on whose behalf? How should we develop and deploy complex AI systems whose purpose is to make decisions continuously and automatically? What values should be enshrined in our systems? The academic community is starting to pay attention to these very important and difficult questions underlying the shift, from predictions to decisions. L ast year Parkes was co-organizer of a workshop on Algorithmic and Economic Perspectives on Fairness. The workshop brought together researchers with backgrounds in algorithmic decision making, machine learning, and data science with policy makers, legal experts, economists, and business leaders. As explained in the workshop report , algorithmic systems have long been used to help us make consequential decisions. Recidivism predictions date back to the 1920s, and automated credit scoring began in the middle of the 20th century. Not surprisingly, prediction algorithms are now used in an increasing variety of domains, including job applications, criminal justice, lending and insurance, medicine and public services. This prominence of algorithmic methods has led to concerns regarding their overall fairness in the treatment of those whose behavior they’re predicting, such as whether the algorithms systematically discriminate against individuals with a common ethnicity or religion; do they properly treat each person as an individual; and who decides how algorithms are designed and deployed. These concerns have been present whenever we make important decisions. What’s new is the much, much larger scale at which we now rely on algorithms to help us make decisions. Human errors that may have once been idiosyncratic may now become systematic. Another consideration is their widespread use across domains. Prediction algorithms, such as credit scores, may now be used in contexts beyond their original purpose. Accountability is another serious issue. “Who is responsible for an algorithm’s predictions? How might one appeal against an algorithm? How does one ask an algorithm to consider additional information beyond what its designers already fixed upon?”. While fairness is viewed as subjective and difficult to measure, accuracy measurements are generally regarded as objective and unambiguous. “Nothing could be farther from the truth,” says the workshop report. “Decisions based on predictive models suffer from two kinds of errors that frequently move in opposite directions: false positives and false negatives. Further, the probability distribution over the two kinds of errors is not fixed but depends on the modeling choices of the designer. As a consequence, two different algorithms with identical false positive rates and false negative rates can make mistakes on very different sets of individuals with profound welfare consequences.”. Workshop participants were asked to identify and frame what they felt were the most pressing issues to ensure fairness in an increasingly data- and algorithmic-driven world. Let me summarize some of the key issues they came up with as well as questions to be further investigated. Decision Making and Algorithms. It’s not enough to focus on the fairness of algorithms because their output is just one of the inputs to a human decision maker. This raises a number of important questions: h ow do human decision makers interpret and integrate the output of algorithms?; when they deviate from the algorithmic recommendation, is it in a systematic way?; and which aspects of a decision process should be handled by an algorithm and which by a human to achieve fair outcomes? Assessing Outcomes. It’s very difficult to measure the impact of an algorithm on a decision because of indirect effects and feedback loops. Therefore, it’s very important to monitor and evaluate actual outcomes. Can we properly understand the reasons behind an algorithmic recommendation?; how can we design automated systems that will do appropriate exploration in order to provide robust performance in changing environments? Regulation and Monitoring. Poorly designed regulations may be harmful to the individuals they’re intended to protect as well as being costly to implement for firms. It’s thus important to specify the precise way in which compliance will be monitored. How should recommendation systems be designed to provide users with more control?; could the regulation of algorithms lead to firms abandoning algorithms in favor of less inspectable forms of decision-making? Educational and Workforce Implications. The study of fairness considerations as they relate to algorithmic systems is a fairly new area. It’s thus important to understand the effect of different kinds of training on how well people will interact with AI based decisions, as well as the management and governance structure for AI-based decisions. Are managers (or judges) who have some technical training more likely to use machine learning- based recommendations?; w hat should software engineers learn about ethical implications of their technologies?; what’s the relationship between domain and technical expertise in thinking about these issues? Algorithm Research. Algorithm design is a well-established area of research within computer science. At the same time, fairness questions are inherently complex and multifaceted and incredibly important to get right. How can we promote cross-field collaborations between researchers with domain expertise (moral philosophy, economics, sociology, legal scholarship) and those with technical expertise? Artificial Intelligence Complex Systems Data Science and Big Data Economic Issues Education and Talent Innovation Management and Leadership Political Issues Services Innovation Smart Systems Society and Culture Technology and Strategy

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Cynefin St David’s Day 2020 (1 of n)

Dave Snowden

On St David’s Day last year, I started a five-part series of posts to update the Cynefin Framework, all illustrated by pictures of the mountains of Eryri, or Snowdonia if you want to use the Saxon which derives from Snow Dun, or snow hill.

An Open Letter To The CEOs Of High Tech And Telecom Regarding COVID-19

Dan Pontefract

To the CEOs of companies such as Apple, Amazon, Google, Microsoft, Intel, IBM, Oracle, AT&T, Verizon, TELUS, Rogers, Bell, BT and Telstra, I have a request. Gather your c-suite. Ask … Continue reading "An Open Letter To The CEOs Of High Tech And Telecom Regarding COVID-19".

The State of AI Adoption - High Performers Show the Way

Irving Wladawsky-Berger

For the past few years, the McKinsey Global Institute has been conducting a yearly survey to assess the state of AI adoption. Its 2017 survey of over 3,000 AI-aware executive found that outside the technology sector, AI adoption was at an early, often experimental stage.

the future is here

Harold Jarche

Work is learning, and learning is the work. This has been my tag line for the past decade.

Death to Zombies!

Clark Quinn

Last week, I ranted about a myth that seems inextinguishable. And I ran across another one in a place I shouldn’t have. And I keep seeing others, spotting them roaming around loose. Like zombies, they seem to rise from the dead. We need death to zombies. Particularly learning myth zombies!

Consulting in the Time of Corona (virus)

Dave Snowden

In the past 2 weeks, I have been called into a few urgent conference calls with partners and clients. As a response to the Corona virus, and it’s spread, many of them (and ourselves) included have had their projects impacted. .

Zoom needs to clean up its privacy act

Doc Searls

As quarantined millions gather virtually on conferencing platforms, the best of those, Zoom , is doing very well. Hats off. But Zoom is also—correctly— taking a lot of heat for its privacy policy , which is creepily chummy with the tracking-based advertising biz (also called adtech ).

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Announcing My Free (or chip in!) Basics On Working From Home Toolkit

Dan Pontefract

You may recall that I launched a REMOTE LEADERSHIP TOOLKIT on March 16. There have been over 3,000 downloads thus far. Glad I could help somehow in this the age … Continue reading "Announcing My Free (or chip in!) Basics On Working From Home Toolkit". The post Announcing My Free (or chip in!)

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Can Democracy and Free Markets Survive in the Coming Age of AI?

Irving Wladawsky-Berger

Can technology plan economies and destroy democracy?

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Aporetic Meditations

Dave Snowden

These have been trying times. Yesterday, I watched our National Development Minister tear up at a national address as he thanked frontline workers who are doing their part against COVID-19. Singapore released its second stimulus package yesterday, drawing a landmark $48bn from its reserves.

Announcing Speak Aid 2020

Dan Pontefract

In this time of uncertainty, angst and working from home, patterns have changed and new norms are quickly being crafted. One of the norms to have seemingly vanished overnight was … Continue reading "Announcing Speak Aid 2020". The post Announcing Speak Aid 2020 appeared first on Dan Pontefract.