3560
She helps connect people with causes at Public Good - Chicago Tribune
Public Good is in the business of making it easier for people to do good through technology. Our co-founders were leading technologists at the Obama campaign in 2012, and prior to that, they had experience in the world of e-commerce.
#technology  #public.good 
yesterday
Twitter
It is worth reflecting on just how wildly unsupported by the public and wrong the FCC is on its effort to end an Op…
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yesterday
Twitter
Great to see our VP Of Tech, , talking !
Dataforgood  from twitter_favs
yesterday
Twitter
RT : Engaging discussion on Data Science for Good panel moderated by w/ Frances Zlotnick from Ha…
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2 days ago
Twitter
"Portland is a city that pushes black people out of neighborhoods and replaces them with 'Black Lives Matter' signs…
from twitter_favs
8 days ago
Public Benefit Corporation Practice Note
This Practice Note provides an overview of
public benefit corporations organized in
Delaware. It highlights the special provisions
that apply to this type of corporation, including
how public benefit is defined, duties of directors,
notice and reporting requirements, and the
conversion process
#entrepreneurship  #startup  #public.good 
9 days ago
ferd.ca -> Simhashing (hopefully) made simple
When it comes to figuring out how similar various pieces of data are from one another (and which is the closest matching one in a large group of candidates), simhashing is one of my favourite algorithms. It's somewhat simple, brilliant in its approach, but still not obvious enough for most people (myself included) to come up with it on their own. Readers may be familiar with hashing algorithms such as MD5 or SHA, which aim to very quickly create a unique signature (hash) of the data. These functions are built so that identical files or blobs of data share the same hash, so you can rapidly see whether two blobs are identical or not, or if a blob still has the same signature after transmission to see if it was corrupted or not. Then different blobs, even if mostly the same, get an entirely different signature.
While simhashes still aim to have unique signatures for documents, they also attempt to make sure that documents that look the same get very similar hashes. That way, you can look for similar hashes to figure out if the documents are closely related, without needing to compare them bit by bit. It's a statistical tool to help us find near-duplicates faster.
#technology  #algorithms  #public.good  #simhash 
14 days ago
The Boomtown That Shouldn’t Exist - POLITICO Magazine
Cape Coral, Florida, was built on total lies. One big storm could wipe it off the map. Oh, and it’s also the fastest-growing city in the United States.
#technology  #real.estate 
20 days ago
[1710.08522] Automating, Operationalizing and Productizing Journalistic Article Analysis
Public Good Software's products match journalistic articles and other narrative content to relevant charitable causes and nonprofit organizations so that readers can take action on the issues raised by the articles' publishers. Previously an expensive and labor-intensive process, application of machine learning and other automated textual analyses now allow us to scale this matching process to the volume of content produced daily by multiple large national media outlets. This paper describes the development of a layered system of tactics working across a general news model that minimizes the need for human curation while maintaining the particular focus of concern for each individual publication. We present a number of general strategies for categorizing heterogenous texts, and suggest editorial and operational tactics for publishers to make their publications and individual content items more efficiently analyzed by automated systems.
#technology  #public.good  #machine.learning 
20 days ago
Building High-level Features Using Large Scale Unsupervised Learning
We consider the problem of building highlevel,
class-specific feature detectors from
only unlabeled data. For example, is it possible
to learn a face detector using only unlabeled
images? To answer this, we train a 9-
layered locally connected sparse autoencoder
with pooling and local contrast normalization
on a large dataset of images (the model has
1 billion connections, the dataset has 10 million
200x200 pixel images downloaded from
the Internet). We train this network using
model parallelism and asynchronous SGD on
a cluster with 1,000 machines (16,000 cores)
for three days. Contrary to what appears to
be a widely-held intuition, our experimental
results reveal that it is possible to train a face
detector without having to label images as
containing a face or not. Control experiments
show that this feature detector is robust not
only to translation but also to scaling and
out-of-plane rotation. We also find that the
same network is sensitive to other high-level
concepts such as cat faces and human bodies.
Starting with these learned features, we
trained our network to obtain 15.8% accuracy
in recognizing 22,000 object categories
from ImageNet, a leap of 70% relative improvement
over the previous state-of-the-art.
#technology  #machine.learning 
23 days ago
HTTP Status Codes
HTTP Status Codes
This page is created from HTTP status code information found at ietf.org and Wikipedia. Click on the category heading or the status code link to read more.
#technology  #http  #rest  #api 
8 weeks ago
Documenting Hate News Index | ProPublica
This page lists media reports, collected by Google News, about hate crimes and bias incidents. The “keywords” column contains names and places found in the news reports in the “articles” column. The larger the word, the more prevalent it is in those stories. Select one of the words to see a list of news stories that contain it. Download the data.
#technology  #data  #analytics  #machine.learning  #public.good 
9 weeks ago
45648.pdf
Using Native Plants in the Garden Flyer
#landscaping 
9 weeks ago
books&webIL.pdf
Illinois Native Landscaping Book Recommendations
#landscaping 
9 weeks ago
Common Crawl
We build and maintain an open repository of web crawl data that can be accessed and analyzed by anyone.
#technology  #data  #data.science  #analytics 
9 weeks ago
Twitter
Study shows mainstream press condemns Nazis and anti-racist activists at comparable rates
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9 weeks ago
Study shows mainstream press condemns Nazis and anti-racist activists at comparable rates / Boing Boing
Study shows mainstream press condemns Nazis and anti-racist activists at comparable rates
from twitter_favs
9 weeks ago
Wild Stonecrop (Sedum ternatum)
Comments: Both the flowers and the foliage are quite attractive; this native species should be grown in flower gardens more often. Wild Stonecrop is the only Sedum sp. that is native to central and northern Illinois; other Sedum spp. that have naturalized in this portion of the state have been introduced from abroad for horticultural purposes.
#landscaping 
10 weeks ago
NestWatch
Whether you’re buying or building, this infographic will take you on a tour of a state of the art birdhouse.
#landscaping 
august 2017
Gandalf Decision Engine · Apiary
Gandalf is a Open-Source Decision Engine for Big-Data.
#technology  #database  #public.good 
august 2017
Why Product Market Fit Isn't Enough — Brian Balfour's Coelevate
One of my main observations is that there are certain companies where growth seems to come easily, like guiding a boulder down hill. These companies grow despite having organizational chaos, not executing the “best” growth practices, and missing low hanging fruit. I refer to these companies as Smooth Sailers - a little effort for lots of speed.

In other companies, growth feels much harder. It feels like pushing a boulder up hill. Despite executing the best growth practices, picking the low hanging fruit, and having a great team, they struggle to grow. I refer to these companies as Tugboats - a lot of effort for little speed.

What is the difference between these two types of companies? This is a question I’ve pondered for a long time and have pieced together a framework to explain the difference. The framework has many implications for how you seek out growth and build a company. 
#technology  #entrepreneurship  #startup  #business 
august 2017
A Few Useful Things to Know About Machine Learning
Machine learning algorithms can figure out how to perform
important tasks by generalizing from examples. This is often
feasible and cost-effective where manual programming
is not. As more data becomes available, more ambitious
problems can be tackled. As a result, machine learning is
widely used in computer science and other fields. However,
developing successful machine learning applications requires
a substantial amount of “black art” that is hard to find in
textbooks. This article summarizes twelve key lessons that
machine learning researchers and practitioners have learned.
These include pitfalls to avoid, important issues to focus on,
and answers to common questions
#technology  #data.science  #machine.learning  #public.good 
july 2017
Deep Learning Project
An end to end implementation of a Machine Learning pipeline
#technology  #data.science  #machine.learning  #public.good 
july 2017
Twitter
Guess what, folks? I've seen hackathons that're only 8 hours per day & people go home & sleep

If yours isn't like…
from twitter_favs
july 2017
KPI dashboard software for businesses | Geckoboard
LIVE TV DASHBOARD SOFTWARE FOR BUSINESSES
Geckoboard helps everyone in your team focus on work that improves the metrics that matter to your business.
#technology  #metrics  #visualization  #management 
july 2017
AP computer science doubles, led by female, black, Latino students
"AP computer science doubles, led by female, black, Latino students..."
from twitter_favs
july 2017
(429) https://twitter.com/voxdotcom/status/884430174703558656/video/1
I am completely convinced by this argument to move major government agencies from DC to the Midwest:
from twitter_favs
july 2017
Norway Maple (Acer platanoides)
This is the tree on the parkway in our front yard.
#landscaping  #botany 
july 2017
White Oak (Quercus alba)
The native White Oak is a common tree that is found in every county of Illinois (see Distribution Map). It is the state tree of Illinois.
#landscaping  #botany 
july 2017
Common Chicory (Cichorium intybus)
This plant originated from Eurasia, and was present in Illinois by the late 19th century. It has been spreading steadily ever since and has become common, particularly in disturbed open areas. Typical habitats include pastures, abandoned fields, areas along roadsides and railroads, grassy areas that are not mowed regularly
#landscaping  #botany 
july 2017
Ravens ignore a treat in favor of a useful tool for the future | Ars Technica
RT : Corvids are so amazing! Ravens choose a tool over a treat, demonstrating ability to plan for the future
from twitter_favs
july 2017
Twitter
RT : We're so happy to see the Kickstarter for the VGA Gallery running strong. If you value games and art as culture, su…
from twitter
july 2017
The Rise of the Thought Leader | New Republic
But intellectual intervention alone will never be enough. The same conditions that gave us the Ideas Industry overwhelmingly favor concentrated economic and political power. Even as we cast a critical light on the connections between one percenters and thought leaders, we must organize in the physical and social world where the “ideas” of the economic elite have their most pernicious effects. The new energy behind the unionization of the academy and the media are an excellent start, but only a start. What intellectuals need is the same as what everyone else needs: a society that prioritizes human flourishing over private profit, and strong political networks that guard public goods against the prophets of an atomized, high-tech future. However difficult that society may be to achieve, one thing about the present gives hope. We are finally getting clear about who its enemies are.
#politics 
july 2017
Friends IRL
We're all experts at something.
CHICAGO WEBFRIENDS is a monthly gathering of designers, developers, and friends from all over the city of Chicago. Join us each month as a member of our group shares the insights, knowledge, and skills they're passionate about!
#technology  AList  #networking 
july 2017
Twitter
RT : The 's Ryan Smith gets the scoop on VGA's new home, some damn fine reading right there
from twitter_favs
july 2017
Twitter
RT : Pls RT! I'm starting a weekly mailing list with diversity & inclusion tips for tech companies employees and open so…
from twitter
july 2017
Twitter
RT : so y'all are just gonna skip the whole slavery and native genocide part
from twitter_favs
july 2017
Give Me Urban Prairie, Give Me My Home | Center for Humans & Nature
We tend to think wildness doesn’t exist in cities, that this incredibly altered environment for the purpose and pleasure of one species is devoid of ecology. And yet, we know this is not true when we see weeds in cracks or slam on brakes for birds crossing the road. Earlier this year a prairie chicken was found in the entertainment district of my city, stuck in a storm drain, then caught and released into a nearby tallgrass prairie remnant. There’s irony in this act of compassion—moving a bird from her former home to an echo of her home that likely also can’t sustain her.
#landscaping  #nature 
june 2017
How to Stop Worrying and Start Loving Clay Soil
There are a few basic soil types: loam, silt, sand and clay, with variations between. We’ve been taught to want a loam or silt-loam soil, with its high organic matter and nice drainage, but it’s OK if you don’t already have that magical concoction. I’m here to tell you that you can still have the flower garden of your dreams in clay without having to buy amendments by the truckload or till it all in — disrupting soil structure and life as you till.
#landscaping  #kenilworth 
june 2017
Twitter
After yesterday's tweets, I put this in my front yard today.
from twitter_favs
june 2017
A story of a woman in the tech industry – Karolina Szczur – Medium
RT : I’ve been in tech for 12 years—here’s my story. Warning: you won’t like what reality women face in the industry.
from twitter
june 2017
Untitled (https://www.wired.com/2015/02/air-traffic-control/)
On a small scale, sure. On a large scale and dealing with regulations and bureaucracy, you get this:
from twitter
june 2017
Twitter
Real-world analogies are hard, but depends on the complexity and size of the system. Similarly you c…
from twitter
june 2017
Twitter
Sounds like software. Success --> More devs and features --> increased times to maintain an…
from twitter
june 2017
Scale: API For Human Intelligence
API For Human Intelligence
Humans On-Demand. Get high quality results within minutes.
#technology  #data.science  #data  #machine.learning  #public.good 
june 2017
Twitter
RT : If you have 2 minutes and an idea for a simple positive action anyone can take, do this. Your idea might reach mill…
from twitter_favs
june 2017
How to prevent tick bites and Lyme disease during the tick threat of 2017.
The little buggers are everywhere right now, and the risk of Lyme disease is high. Here’s how to protect your family.
#health 
june 2017
Tiny
Hi, we're tiny.
We start, buy, and invest in wonderful internet businesses.
COMPANIES WE OWN:

Dribbble
Show & tell for designers
MetaLab
Product design agency
Pixel Union
Ecommerce apps and themes
Designer News
News for designers
Flow
Beautiful project management
Crew
Creative freelancer network
We Work Remotely
Remote job board
WWR
COMPANIES WE'VE INVESTED IN:

Need/WantMediaCore (acquired)BufferEligibleMediMapMedeo (acquired)1QBitGiftbitTinyMob (acquired)CareGuidePeer (acquired)NotarizeCheckfrontHazelPulsraWuuThisOpenSpaceUpserveConversioSendWithUsThriveVessyl (acquired)SketchDeckXperiel
INTERESTED IN SELLING US A BUSINESS?

We aren't your typical buyer. We won't try to flip your business in 3-5 years. We won't mess with your team and culture. We won't lock you into golden handcuffs or push complex deal terms. We won't ruin your life with months of unnecessary due diligence. We won't renegotiate and grind you on terms. We'll make an offer within 7 days and close in 30. We keep things dead simple.

We started Tiny to create the buyer we wish we could have sold to. Here's a post we wrote about it.

The companies we buy usually fall into three buckets:
Bootstrapped

You've scaled your business with real customers and revenue. It's profitable ($500k+), but you're burnt out and don't know how to take it to the next level or want to do something new.

Venture That Can't 10x

You've raised some money and built a good business with serious revenue and maybe some profit, but you can't achieve venture scale. Your investors need a soft landing, and you want to sell to someone who appreciate your efforts.

Distressed

Ahhhh! Your hair is on fire and things are a bit of a mess, but you have serious revenue ($5MM or more) and think this thing could be profitable in the right hands. Help!

We typically look for businesses that have been in business for at least 3-5 years, have significant profits (minimum $500k, ideally $2MM+, as high as $20MM), and have a high quality team in place. We are open to owners sticking around, leaving cold turkey, or transitioning out over time. We'll work with you to transition.

We like simple internet businesses that have high margins, don't require tons of people or complex technology, and have a competitive advantage that protects them from competitors. For example: A dominant brand, a large and loyal userbase, a technology/IP advantage, etc.

If you're concerned your business doesn't fit the bill, feel free to send it to us anyway. We'll take a look and let you know within a couple days if it's a fit.
#technology  #entrepreneurship  #venture.capital  #financial 
june 2017
2017-Chicago-Residential-Lease-010417.pdf
Chicago residential lease template - 2017
#real.estate 
june 2017
Butterflies and Moths of North America | collecting and sharing data about Lepidoptera
Butterflies and Moths of North America (BAMONA) is an ambitious effort to collect, store, and share species information and occurrence data. You can participate by taking and submitting photographs of butterflies, moths, and caterpillars.
#landscaping  #gardening 
june 2017
Twitter
In other words, hopping from one shitty employer to the next is actually worse than sticking around long en…
from twitter
june 2017
Twitter
This hero answered my prayers
from twitter_favs
june 2017
Sign in - Google Accounts
Please continue that, but I think maybe we do have some after all!? I found this for you this am!
from twitter
june 2017
Etsy Lessons | Lara Hogan
RT : Just a handful of the many leadership/management/career lessons I learned from folks throughout the years:
from twitter_favs
june 2017
Twitter
I'm convinced this is posted in every media outlet office on how how to label a terrorist attack.
from twitter_favs
june 2017
Twitter
I usually avoid reading management advice, it can feel cold. But not

This article gives you tips on ho…
from twitter_favs
june 2017
Is group chat making you sweat? – Signal v. Noise
This is great. Glad I didn't have to spend half a day writing this. Thanks, !
from twitter_favs
june 2017
Twitter
New favorite bathroom sign
from twitter_favs
june 2017
Twitter
Thumbs up to social media: "In 2005, Bill Cosby still had control of the media. In 2015, we h…
from twitter
june 2017
Twitter
RT : Two years ago, 35 women told us about how Bill Cosby assaulted them. Today, Andrea Constand's case ends in mistrial…
from twitter
june 2017
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