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Micah Fries , senior pastor of Brainerd Baptist Church, Chattanooga, TN

"This book is good--really good.I found myself thinking differently about the economy, the marketplace, the kingdom of God, his word, and even why God put me here.God has spoken through Michael, Robby, and Brian in a way that allows me to see him more clearly.I am a richer man for having read this, and I recommend it to all."

Henry Kaestner , managing principal of Sovereign's Capital; cofounder and former CEO of Bandwidth

"In this passionate and compelling book, the authors give us a glimpse of what God's economy could truly look like, if only we took the Bible seriously. Grounded in Scripture and full of inspiring stories, this book encouraged, excited, and deeply challenged me. The good news of Jesus Christ brings whole-life transformation, including economically and financially."

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K. A. Ellis , Cannada Fellow for World Christianity, Reformed Theological Seminary

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Jason B. Hood , PhD, assistant professor of New Testament and director of advanced urban ministerial education, Gordon-Conwell Theological Seminary

Michael Rhodes

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Resources

Excerpt
NetLogo 6.0.4 User Manual

This tutorial leads you through the process of building a complete model, built up in stages, with every step explained along the way.

Agents and procedures

In Tutorial #2, you learned how to use the command center and agent monitors to inspect and modify agents and make them do things. Now you’re ready to learn about the real heart of a NetLogo model: the Code tab.

You’ve seen that agents in NetLogo are divided into patches, turtles, links, and the observer. Patches are stationary and arranged in a grid. Turtles move over that grid. Links connect two turtles. The observer oversees everything that’s going on and does whatever the turtles, patches and links can’t do for themselves.

All four types of agents can run NetLogo commands. All four can also run “procedures”. A procedure combines a series of NetLogo commands into a single new command that you define.

You will now learn to write procedures that make turtles move, eat, reproduce, and die. You will also learn how to make monitors, sliders, and plots. The model we’ll build is a simple ecosystem model not unlike Wolf Sheep Predation from Tutorial #1.

To start a new model, select “New” from the File menu. Then begin by creating a setup button:

Now you have a setup button. Pressing the button runs a procedure called “setup”. A procedure is a sequence of NetLogo commands that we assign a new name. We’ll define that procedure soon, but we haven’t yet. The button refers to a procedure that doesn’t exist, so the button turns red:

If you want to see the actual error message, click the button.

Now we’ll create the “setup” procedure, so the error message will go away:

When you’re done, the Code tab looks like this:

Note that some lines are indented. Most people find it helpful to indent their code. It isn’t mandatory, but it makes the code easier to read and change.

Your procedure begins with to and ends with end . Every procedure begins and ends with these words.

Let’s look at what you typed in and see what each line of your procedure does:

When you’re done typing, switch to the Interface tab and press the setup button you made before. You will see the turtles scattered around the world:

Press setup a couple more times, and see how the arrangement of turtles is different each time. Note that some turtles may be right on top of each other.

Think a bit about what you needed to do to make this happen. You needed to make a button in the interface and make a procedure that the button uses. The button only worked once you completed both of these separate steps. In the remainder of this tutorial, you will often have to complete two or more similar steps to add another feature to the model. If something doesn’t appear to work after you completed what you thought is the final step for that new feature, continue to read ahead to see if there is still more to do. After reading ahead for a couple of paragraphs, you should then go back over the directions to see if there is any step you might have missed.

Ceylon also forces us to declare that an attribute or method refines (overrides) an attribute or method of a superclass by annotating it actual ( not "overrides" like Java ). All this annotating stuff costs a few extra keystrokes, but it helps the compiler detect errors. We can't inadvertently refine a member of the superclass, or inadvertently fail to refine it.

Notice that Ceylon goes out of its way to repudiate the idea of "duck" typing or structural typing. If it walks() like a Duck , then it should be a subtype of Duck and must explicitly refine the definition of walk() in Duck . We don't believe that the name of a method or attribute alone is sufficient to identify its semantics. And, more importantly, Big Discount Sale View Iconic Slim Paint Splatter Jeans Calvin Klein SzZpE5Mg
.

There's a more compact way to refine a default member of a superclass: simply specify its refined implementation using => , like this:

Or assign a value to it using = , like this:

You can refine any method or non- variable attribute using this streamlined syntax.

Note that this shortcut syntax does not allow annotations. If you need to add documentation or other annotations to the refining member, you must use the more verbose syntax.

Our Polar class is an implicit subtype of the class Object in the package ceylon.language . If you take a look at this class, you'll see that it has a default attribute named Trunks With Lemon amp; Lime Print 5 Pack Multi Asos Cheap Sale Fashionable B0XvAkA
. It's common to refine this attribute to provide a developer-friendly representation of the object.

Polar is also a subtype of the interface drawstring swim shorts Black MC2 Saint Barth Outlet Official CpFxzQH
which defines default implementations of equals() and . We should definitely refine those:

It's the first time we've seen this syntax:

As you've probably guessed, if (is ... ) works just like if (exists ... ) , testing and narrowing the type of a value. In this case it tests the type of that and narrows to Polar if that is indeed an instance of Polar . We'll come back to this construct later in the tour .

Using the shortcut syntax for refinement that we just met , we could abbreviate the above code like this:

(But in this case, the shortcut syntax is perhaps not an improvement.)

Now let's consider a much more interesting problem: abstracting over the polar and cartesian coordinate systems. Since a cartesian coordinate isn't just a special kind of polar coordinate, this is a case for introduction of an abstract superclass:

Kogan attracted 270,000 Facebook users to take the online personality quiz. But Facebook's APIs at the time allowed Kogan's app to also collect a broad range of information about each authorized user's friends. The average Facebook user has hundreds of friends, so Kogan was able to leverage his user base of 270,000 people to harvest data for about 50 million Facebook users.

Facebook says Kogan told them he was collecting the data only for academic purposes. But that wasn't true. Kogan shared this data with Cambridge Analytica for use in its ad-targeting work.

Cambridge then won the Ted Cruz presidential campaign as a client. In December 2015, Sale Supply Womens Zip BraletteRp Bikini Top Calvin Klein Outlet Authentic 8iu3vxcMp
that Cambridge was using data harvested from Facebook in its work on the Cruz campaign. According to the Times , Facebook quietly verified the leak and took steps to secure the data—securing a promise from Cambridge that the data had been deleted. More recent reporting suggests that that wasn't true.

Further Reading

Facebook has been sharing our data for months to help study income inequality

"After the Cruz campaign flamed out, Mr. Nix persuaded Mr. Trump's digital director, Brad Parscale, to try out the firm," the Times added. "Its data products were considered for Mr. Trump's critical get-out-the-vote operation. But tests showed Cambridge's data and models were slightly less effective than the existing Republican National Committee system, according to three former Trump campaign aides."

But the biggest problem for the theory that stolen Facebook data was the key to Trump's election is this: according to a March 2017 Times story , "Cambridge executives now concede that the company never used psychographics in the Trump campaign." bullet flared shorts Nude amp; Neutrals Our Legacy Outlet Store Online Buy Cheap Shopping Online With Mastercard Online Countdown Package Sale Online 2018 Newest Sale Online BdfzrU2
around the same time reached the same conclusion.

Indeed, this becomes clear if you read that 2017 Motherboard article carefully. As an example of Trump's ad targeting techniques,Motherboard reported that "in the Miami district of Little Haiti, Trump's campaign provided inhabitants with news about the failure of the Clinton Foundation following the earthquake in Haiti, in order to keep them from voting for Hillary Clinton."

You can debate whether this amounts to a political dirty trick or legitimate campaign criticism. But it's definitely not an example of cutting-edge psychographic profiling. Facebook offers every advertiser the ability to target ads based on conventional demographic criteria like race and ZIP code. This kind of message targeting didn't require using purloined Facebook user data to build psychographic profiles of voters.

So the stolen Facebook data doesn't seem to have played a significant role in getting Donald Trump elected president. Nevertheless, the controversy surrounding Cambridge has highlighted the fact that, at least until recently, Facebook has not done a good job of safeguarding private user data.

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