We're fluent in business, design, and data science.
-
Fontstellations
A visualization to explore how fonts are used together.
-
Demystifying Data Science
Summarizes a Q&A; discussion in which professional data scientists with different backgrounds came together and spoke about their personal journeys into data science.
-
Sensor Fusion Tutorial
Or how to avoid the infamous smelly car 🚂🚃🚃💩🚃
-
Unevenly Spaced Data
Keep sensor data unevenly spaced
-
Outside a train rumbles by
Data science and the Internet of Things
-
How to Solve a Problem In 3 Steps -- Define It, Redefine It, Repeat
To lead an innovative company, learning to find the right problems is at least as important as solving them well.
-
Deploying Analytic Models in Production: Best Practices for Data Scientists
Bob Grossman and Rob Nendorf talks to Data Science Chicago about how to deploy analytic models in production.
-
Introduction to SQL, with Examples
Chicago Women in Machine Learning and Data Science hosted a SQL tutorial for beginners, by Katherine Keenan. Here are her slides.
-
Who's at the Center of the Star Trek Universe?
Star Trek Relationship Visualization
-
Instagram’s Blind Spot
Chicago as a case study in the limitations of social media datasets
-
12 Ways To Cultivate A Data-Savvy Workforce
If your company's hiring and retention standards aren't keeping up with the times, you may be losing valuable job candidates and employees.
link
-
Big Data Technology Trends in Banking
Brian Lange and 20 Other Experts Reveal the Most Important Big Data Technology Trends Shaping Banking and Finance Today
link
-
Navigating Neural Networks with Julia Lintern
Slides from Julia's talk at Data Science Chicago.
PDF
-
How to make a good data-driven web app
5 award winning developers give their advice
-
Q & A with Meta Brown
An interview with the author of Data Mining for Dummies
-
scrubadub v1.1.0
Dean talks about the scrubadub project and how it can help when dealing with confidential data.
link
-
Wesley Crushes Ratings
An open letter to Wesley Crusher
-
Designing and Teaching a Data Science Bootcamp
Datascope’s data scientists designed an entire 12-week curriculum and taught the first three cohorts.
PDF
-
Crowdsourcing Fantasy Baseball Leagues
What can we learn from seeing how other leagues play?
-
Finding tomorrow's innovations from today's college students
Creating wonderfully realistic user stories for how HERE Life transforms raw data into insights
PDF
-
Oracle: Predicting Solutions for Hardware Failure
Prototype engine capable of automatically resolving inbound services requests with an accuracy that rivals human classification
PDF
-
scrubadub v1.0.3
Dean talks about the scrubadub project and how it can help when dealing with confidential data
link
-
László Babai's New Proof
Computer Scientists and Mathematicians Are Stunned by This Chicago Professor’s New Proof
link
-
Datascope Promotes Bo Peng to Partner
Data Scientist, Bo Peng, is now a Partner at Datascope.
link
-
Datascope Promotes Brian Lange to Partner
Data Scientist, Brian Lange, is now a Partner at Datascope.
link
-
Visualization in the Real World
Assembling Teams and Systems to Create Visualization-Centric Solutions
link
-
machine learning in practice
novel machine learning applications come from listening to other humans
link
-
Three Chicago Projects Awarded $35K from the Knight Foundation
The Knight Foundation has announced the 22 recipients of its Knight Prototype Fund, with three hailing from the Windy City.
link
-
22 projects win support from Knight Prototype Fund
Project scrubadub is underway!
link
-
22 tech projects get Knight Prototype Funds
Datascope's scrubadub project among the list of awardees.
link
-
Teamwork, Collaboration & Jazz
Jim Cohen on working with Datascope
link
-
Curriculum Companies Need To Design With Teacher Adaptation In Mind
Teachers changed what influenced their use of the curriculum over the course of the 45 minute interview, as visualized by Datascope.
link
-
Data Science, a Critical Tool in the Nonprofit World in 2015
There’s never been more opportunity for nonprofits and foundations to adopt evidence-based practices in their work.
link
-
Being Quantitative in Spite of Ambiguity
Dean defines two ways to address the ambiguous challenge of defining the problem to be solved through means of data science
link
-
Announcing This Year's #CoolestCompanies Nominees!
Datascope nomination!
link
-
Interactive Divvy Traffic Pattern Map Reveals Local Links
To help make sense of Divvy bike data, an interactive map was put together to help make sense of the data.
link
-
How To Use Data To Outsmart Your Competitors
Quite often, companies are stuck in traditional mindsets that discourage exploratory thinking outside of R&D.;
link
-
Analytics guru Wolf helps Pistons cut thicket
Wolf helps the organization take scouting and advanced stat data and use it to design infographics in an easy-to-understand format.
link
-
The State of Craft Beers in Chicago
Datascope Analytics took a look at 190 bars across Chicago and compiled a report showing the best neighborhoods to drink beer
link
-
Why P&G; turns to this little firm for big data analysis
We want to build useful tools for people, organizations and companies to learn from data[...]
link
-
A Kuerig for Food Startups Wins the NVC, Beer, Coolpy, Kloss
Datascope encourages its employees to use their data know-how to explore the things that they're passionate about.
link
-
Chicago Data Science Firm Reveals the Best Craft Beer Bars in the City
Fortunately for all of us, Lange is passionate about craft beer.
link
-
Study Shows The Cost of Brews in Chicago
Datascope pulled data earlier this month on beer prices and offerings at watering holes throughout the city as summer approaches.
link
-
P&G; Mines Reports To Uncover Experts and Collaboration Patterns
How do you find and connect subject matter experts when they're spread across the globe?
PDF
-
Why, why, why?
Gabe talks about data science the Datascope way... in Berlin!
link
-
The State of Craft Beer in Chicago Bars
We analyze beer menu data to see what Chicago average (and exceptional) bars look like
-
Natural Language Processing and Text Analysis in Python
A brief, interactive intro to NLP using Python, Jupyter, TextBlob, and NLTK to analyze text using Python
link
-
How Data Science Intersects With Analytics in Sports
Data science is playing a more prominent role in sports than ever.
link
-
The Anatomy of a Data Science Project
Irmak shows how a data science project takes shape using the example of Movie vs Movie
link
-
Microsoft Ignite: Greater opportunities for women in data-related jobs
Women with technical skills could help hiring officials meet the growing demand
link
-
Metis Open House
Meet the Instructors and Students of the Data Science Bootcamp
link
-
Tech Shift: Week in Review
Laurie chimes in on WBEZ
link
-
Our Take on the Latest Trends in Data
Team Datascope weighs in on recent data topics for Datamation
-
solving for ambiguity
adapting the design process for analytics problems
link
-
Trending Big Data Topics: 2015
We thought we’d weigh in on some of the data trends we think are important for executives to pay attention to throughout 2015
link
-
Who's Divvying in the winter?
Building a data visualization that shows how weather affected Divvy rides in 2014.
-
Business Solutions (bsminfo.com)
LinkedIn reports that “Data Mining,” in relation to data science, was the number one in-demand skill in 2014.
link
-
IssueLab Empowers Researchers Using NLP and Data Science
The Spärck API generates metadata, to enrich collective knowledge in the social sector.
PDF
-
Make Your Data Actionable with Effective Presentation
Business leaders around the world continue to ask their organizations to “get smarter about data.”
link
-
#Alt-Academy- Alternative Career Paths for Graduate Students
Employment options for graduate students outside of academia
link
-
Women at work: Data mining among hottest professions
At Northwestern University, Mary Kwasny is conducting research designed to help pregnant women reduce unhealthy weight gain.
link
-
From coins to rods: properties of elongated dice
How does the shape of a die affect its odds?
-
Beyond the mean
Learning lessons about statistics with elongated dice
-
Can't Consume the Data? Can't Use the Data.
The CEO's Role in Solving Data's Presentation Challenge
-
Why, why, why?
Gabe spricht über Daten Wissenschaft der Datascope Art
link
-
Data Scientist: STEM Boys Club Open to Women
Data scientist Laurie Skelly says STEM is still largely a boy's club, but that's changing.
link
-
Creating the data scientists the tech world needs
Experts say there will be an increased need for workers who can analyze and process data for companies and projects.
link
-
Boost Data Literacy To Advance In Business
Big Data might be generating buzz in today's info-driven business environment, but its mathematical methods aren't new.
link
-
Metis Open House
Meet the Instructors and Students of the Data Science Bootcamp
link
-
How to Add Data Science Expertise to Your Organization
A Pro/Con Guide to Today’s Three Best Options
-
NYC data science bootcamp prepares students for in-demand career
LinkedIn named statistical analysis and data mining one of the 25 hottest skills that got people hired in 2014.
link
-
Women in data
Cutting-Edge Practitioners and Their Views on Critical Skills, Background, and Education
link
-
How to Solve a Problem In 3 Steps-- Define It, Redefine It, Repeat
The more ambiguous the problem, the less important the planning step. Why invest in a plan that will be obsolete?
link
-
Which Fantasy Football Sites Have The Best Projections?
Pay sites are actually better than the free ones, especially within individual positions
link
-
Which site has the best fantasy football projections?
Measuring the accuracy of fantasy football projections by site and position.
-
26 Experts Reveal the #1 Problem that Can Be Solved with Data Science
With predictive analytics a company can meaningfully leverage that business data to diagnose and solve business problems.
link
-
Are ESPN's Fantasy Football Projections Worthless?
Datascope concludes that ESPN consistently over-projects for 'Fantasy Relevant Players' or players that are most likely starting on teams
link
-
Translating SQL to pandas. And back.
An intro to Pandas for SQL Users
link
-
How Accurate Are ESPN's Fantasy Football Projections?
ESPN has pages for their historical projections and weekly scoring. Mix in a little code, and we're able to answer the question easily.
link
-
Are ESPN's fantasy football projections accurate?
Feel like ESPN's fantasy football projections are always wrong? Let's take a look!
-
Kaggle and Data Science
Reflections on data science after a “data science” competition
-
Breaking Bad vs. Superman
Applying Data Science to Our Passion Projects
link
-
Visualizing Sound
What does it mean to "look" at sound?
-
How Motorola Uses Big Data Analytics to Improve Its Smartphones
Stringer helped build the sentiment analysis program which extracts and distills general thoughts and feelings toward Motorola’s devices
link
-
Solution Turns Customer Data Into Insights For Motorola Mobility
Bo Peng, data scientist at Datascope Analytics explains Motorola Mobility also wanted to provide quick feedback to its service engineers.
link
-
They Say BIG, We Say SCIENCE
Explaining Key Differences between Big Data & Data Science
-
Big Data for Small IT Businesses: Track Your Time
Adapting big-data concepts to small-business practices is not as daunting as it might seem.
link
-
Metis Open House
Meet the Instructors and Students of the Data Science Bootcamp
link
-
Motorola Mobility Follows the Data to Engineer Better Smartphones
A custom built tool aggregates and algorithmically analyzes smartphone customer feedback data from a broad spectrum of internet sources.
PDF
-
What exactly was data science again?
Irmak discusses the qualities of a great data scientist and how the Metis Data Science Bootcamp prepares graduates for data science
link
-
Social Listening Heads Inside the Contact Center
A data scientist shares how his firm helped Motorola better understand online conversations for customer support.
link
-
How Can the Media Industry Attract Much-Needed Data Scientists?
Data scientists are the hot and scarce commodity to help organizations collect, clean, and analyze the growing sea of “big data.”
link
-
The new "industry"
data science and other ways to have fun, solve problems, and make money with your brain outside of academica.
link
-
How to Become a Data Scientist
In an interview with Information Management, data scientist Irmak Sirer discusses the realities and necessities of data science.
link
-
How to Become a Data Scientist
How Irmak became a data scientist
link
-
Data Science Bootcamp
Ready-to-hire Data Scientists in Twelve Weeks (!?)
link
-
How to Become a Data Scientist in 12 Weeks with Metis
"What we aim to do is teach a set of skills and get experience in these 12 weeks to make the person a great junior data scientist."
link
-
How 'Big Data' could help TV networks make better shows
The fall TV season has started with a big bang.
link
-
See Where and How the City Moves with Interactive Divvy Map
"I'm just super interested in how people get around."
link
-
See How the City Moves with Datascope's Interactive Divvy Map
The map shows how often a rider uses a station and the most popular routes.
link
-
How "Big Data" could help TV networks make better shows
How data science could help use viewer ratings to improve show quality.
link
-
Weaving together data science tools
Visualization of open source data science tools makes it easy to see how we tend to stitch together solutions.
-
A Taxi's Suspension of Judgement
How we came up with the idea to record taxi cab honks.
-
Introducing the DuoDesk
Taking pair programming to a whole new level thanks to a partnership with students at Northwestern University
-
Hipster Classifier Icebreaker
A not-so-awkward silence ensues.
-
Data Science Bootcamp
like the regular kind of bootcamp but with data science instead of running and pushups
link
-
Brian Lange, data scientist, Datascope
Brian Lange has joined the Chicago-based data science and design company Datascope as a data scientist. He had been working for the
link
-
Brian Lange, data scientist, Datascope
Short and sweet info about Brian
link
-
Start Making Molehills from a Mountain of Big Data
Break Down “Big Data” into Simple and Manageable Data
-
Vlad Seghete, data scientist, Datascope
Vlad Seghete has joined the Chicago-based data science and design company Datascope as a data scientist. He graduated from Northwestern U
link
-
Vlad Seghete, data scientist, Datascope
Short and sweet info about Vlad
link
-
The Data Science Swiss Army Knife
A survey of open source tools
link
-
Why one Chicago company gives employees the same title and salary
The reasoning behind why Datascope offers equal salaries for every employee.
link
-
Why one Chicago company gives employees the same title and salary
Ask any startup employee about the perks of their job and, aside from flexible work options and a Ping Pong table, they might mention the
link
-
A Chicago-Based Company Turns You Into a Data Scientist in 12 Weeks
A Chicago-based organization wants to turn you into a data scientist in 12 weeks.
link
-
Quant skillz beyond Wall St.
Deriving value from large, non-financial datasets
link
-
How do I become a data scientist? An evaluation of 3 alternatives
Master's degree vs bootcamp vs self-taught (MOOCs). Bootcamps are best, but perhaps we're biased.
-
Six qualities of a great data scientist
And how we designed the data science bootcamp to cultivate these qualities.
-
What Can Your Business 'Unhide' with Data Science?
Data scientists are in a unique position to help you see your business differently
-
Extract text from any document; no muss, no fuss.
textract is an open source package that makes it easy to obtain text from any file.
-
Somebody Made An Online Heatmap Of Every Divvy Trip Taken in 2013
Ever wondered where people often go on their Divvy bikes? Using data from when Divvy bikeshare users check out and return their bikes to
link
-
Visualization shows how we're actually using Divvy
Visualization of Divvy ride data shows how people locally move around city.
link
-
Visualization shows how we're actually using Divvy
While others focused on the volume of rides, Datascope focused on trips being taken.
link
-
Dining&Drinking;
The Divvy system gives us a rare look at how people get around the city—where they are, where they've been, and where they go from there.
link
-
What Does Bike-Share Data Tell Us About Chicago?
The Divvy system gives us a rare look at how people get around the city—where they are, where they’ve been, and where they go from there.
link
-
Webinar: Data Science For n00bs!
Irmak and Laurie speak about being data scientists, what we do at work, and how we designed a data science bootcamp.
link
-
Starting in September, you can learn about data science through Kaplan
Through the brand name Metis, Kaplan is launching its first data science bootcamp in New York City, starting in September.
link
-
Building the ultimate NBA team
Bench GM'ng for nerds
-
Divvy Map Shows How Commutes Vary in Chicago's 'Hoods
Looking for a bike-friendly route somewhere without bike lanes? Hit the trails blazed by Divvy riders.
link
-
Divvy Map Shows How Commutes Vary in Chicago's 'Hoods
Interactive map of Divvy rides showcases commuting patterns around Chicago.
link
-
Divvy Riders in Lincoln Square Cruising Not So Far Or Wide, Data Shows
A Divvy interactive traffic pattern map shows lots of users are riding from point to point in the 'hood.
link
-
Divvy Riders in Lincoln Square Cruising Not So Far Or Wide, Data Shows
Interactive Divvy traffic pattern map which tracks most popular destination for riders.
link
-
Interactive Divvy Traffic Pattern Map Reveals Local Links
To help make sense of the complex Divvy web, Datascope Analytics created a citywide pattern map.
link
-
Who's the most underpaid player in the NBA?
Determining the market rate of win shares
-
Academia to data science
The new “Industry”: data science and other ways to have fun, solve problems, and make money with your brain outside of academia.
link
-
Instructor Spotlight: Irmak Sirer & Laurie Skelly, Metis
The recent sale of Dev Bootcamp to Kaplan marks a significant landmark in the coding school world.
link
-
Solve for Ambiguity
Using Design to Create Value from Data
link
-
Design Thinking for Dummies (Data Scientists)
A quick preview of why the design process is needed to solve problems with data.
link
-
Divvy Traffic Patterns
How does traffic change over a few blocks?
-
Design Choices: Visualizing Biking in Chicago
How to picture where people go
-
So you're tellin' me there's a chance...
More support for not letting a data scientist into your fantasy basketball pool
-
Design choices to visualize transportation in Chicago
Gabe shares his Divvy visualization app at a Divvy Show & Tell event.
link
-
Using data to dominate the NCAA tourney
Never let a data scientist join your fantasy league
-
data science & the design process
solving problems in the face of ambiguity
link
-
Are you really any good at Threes?
If you want to be confident that you’re better than a stupid computer program, then you’d better score above 950.
-
Finding the ideal spot in Southeast Michigan
Visualizing potential locations for the Data Science Southeast Michigan Meetup
-
How might we...
human-centered design techniques from an ideation workshop
-
Dresses at the Oscars
It's our favorite annual awards show again... the Oscars!
-
Solving for ambiguity
what the data literate can learn from the design process
link
-
Design Thinking for Dummies (data scientists)
Mike, Dean and Laurie teach about the iterative design process by designing lanyards at a conference.
link
-
What is a data scientist?
Float like a statistician, sting like a software engineer. ...Right?
-
Datascope recognized by research firm SourcingLine
We are proud to have been recognized in the first edition of Top Marketing Analytics Consultants
link
-
Design, Math, and Data
Lessons from the design community for developing data-driven applications
-
Design Thinking and Data Science
Rapid prototyping with data... and beyond.
-
Data & Human-Centered Design
Behind the scenes with Datascope Analytics
-
In growing field of big data, jobs go unfilled
Demand outpaces the supply of workers needed to glean useful information from businesses' large data intake
link
-
Smelly Socks, Beards, and Streaks
Can a semi-obscure NHL statistic truly predict Stanley Cup victory?
-
avoid cross hairs of "nerd snipers"
just ask "why?"
link
-
Thoughtful Critiques of the Open Government Movement
Don't just put it on a map.
link
-
Why? Why? Why!
A lesson for data science teams.
-
Lunch? Our food truck tracker goes mobile and infiltrates U Chicago
Mobile food on mobile phones, now in Hyde Park as well as the loop.
-
Physical histograms of mail
junk mail literally outweighs legitimate mail 2:1
-
The Cheating Commish
If you ain't cheatin', you ain't tryin'
-
Mike interviewed at Strata 2013
Discusses of e-discovery project with Mac Slocum
link
-
Strata 2013 Santa Clara Tweeps
Who's on Twitter at Strata 2013 Santa Clara
-
Thinking Like a Designer
How smarter process leads to smarter analysis
link
-
Holiday nerdery! Snowflakes!
Watch snowflakes unfold before your eyes.
-
Thomson Reuters: Visualizing collaborations on academic reports
From sketch to mock-up to prototype to enterprise-quality solution, we do it all.
-
Thomson Reuters: Product reimagination for visual analytics
Brainstorming with all stakeholders improves the likelihood of developing useful dashboards.
-
Visualizing Kobe Bryant Vs. Jack Taylor
Which performance was more impressive?
-
Daegis: designing a more cost-efficient process for litigation
Reducing costs by 70-90% is only valuable when the solution is legally defensible and trustworthy.
-
Wanted: another data scientist
DsA hiring a new colleague in Winter 2012
-
Wisdom of the crowd?
Nerdery abounds in Alinea guessing game.
-
Creative thinking and data science
Avoiding the last few decimal points
-
Creative Thinking and Data Science
An effective data science team looks a lot like an effective design team
link
-
Modern cartography: Why map styling matters
Few things in this world are one-size-fits-all, and web maps aren't one of them
-
Designing a Creative Space: Part 2
The climactic conclusion of our office redesign.
-
Designing a Creative Space: Part 1
Moving to a new office gave us the opportunity to rethink our work environment.
-
The analysis of Matt Millen
Ranking the best / worst drafting NFL managers
-
A profile of Dean Malmgren and Datascope Analytics
Their realization that they actually enjoyed the data analysis eventually led them to start Datascope Analytics.
link
-
Wanted: Data Scientists
DsA hiring up to three new colleagues in Fall 2012
-
Most important skill playing the Olympic Club (U.S. Open)
Drive for show, putt for dough
-
DataKind's Vision of a Data-Driven Social Change Movement
DataKind partnered with the American Red Cross of Greater Chicago, Children’s Memorial Hospital, and Enlace Chicago.
link
-
The chance of a bust in the NFL draft
Grading out the GM's of the NFL
-
NFL Draft Value Chart Controversy
Redefining a $30bn industry
-
When will the b-day be?
Expecting parents, like myself, start to ponder this question as the big day nears.
-
Taxes after marriage
What are the tax implications of marriage?
-
How to build a mobile whiteboard, the Datascope way
We use a LOT of whiteboards, and we build them ourselves. See how.
-
The story of how Lunch? came to be
We knew we'd miss Lakeview's restaurants, so we built a food truck tracker. Hungry yet?
-
And it's that time of year again...
Datascope takes their first crack at predicting March Madness with Databall v1.0
-
#shitentrepreneurssay
or more like #shitdeansays to describe the bumps along the services start-up dirt road
link
-
Building a data science team
A data science team is more than a room full of nerds
-
Technology Assisted Review (TAR)
Opening, exploring, and bringing transparency to the black box
link
-
New digs in the Loop
Goodbye Belmont. Hello Quincy.
-
Holiday nerdery! A map of Christmas carols
Thanks for a great year!
-
Rethinking the visualization of weighted directed networks
Snippets of inspiration from our project with the Graduate School at Northwestern
-
Measuring interdisciplinarity: A new tool for Northwestern University
An OrganicChart® designed for The Graduate School displays student curriculum over time.
-
inThirty is a Grand Challenge Finalist!
Thanks for your support!
-
InThirty is an Apps For Metro Chicago Finalist
They like us, they really like us!
-
The birth of neighborhood shopping: inThirty
Our entry for the Apps for Metro Chicago contest is now online. This is the story of how it came to be.
-
Getting Things Done the Datascope Way
The Post-it Note Method
-
"Our algorithms are hot"
Jessie knows her analytics
-
Caricature of a small tech org chart
We're not big, but we are certainly collaborative!
-
Datascope featured in McCormick Magazine
Outside, a train rumbles by...
link
-
MathJax: LaTeX syntax to display mathematical equations online
Equations in a web browser!
-
Designing organizations for humans (part 2)
New technologies provide a window into how decision makers impact the complex organizations in which we work and live
-
Designing organizations for humans (part 1)
The disaster at the Fukushima nuclear facility reinforces the importance of designing complex organizational systems
-
We are hiring
We value breadth and depth on demand.
link
-
The persistence of underdogs, part 3
Refining the graphic to be more aesthetically pleasing
-
The Farley Center for Entrepreneurship and Innovation
Building a culture of entrepreneurship
link
-
The persistence of underdogs, part 2
Some improvements to Aranda's original idea
-
The persistence of underdogs
Is 'beautiful' useful?
-
NHL Playoff Probabilities
The second half of the season is approaching!
-
Datascope Analytics sponsors NICO conference
Conference headlined by eminent complex systems scholars.
-
Social network analytics enhance adoption of change
We identified a group of ambassadors who are optimally positioned in their organizational social network to spearhead a change movement.
-
Wanted: Data scientist
Good with data? Apply!
-
Wanted: Web interface designer
Good with web user interfaces? Apply!
-
Pair programming: when are two better than one?
(a) Developing reusable software. (b) During crunch-time. (c) Training colleagues. (d) All of the above.
-
Scialog Conference Assessment
We quantified how and why Scialog was effective to further improve future Scialog experiences.
-
Datascope Analytics attends first Scialog conference
Innovation conference targets renewable energy. Datascope Analytics targets collaboration among scientists.
-
Complex Systems View of Educational Policy Research
Study by Datascope Analytics published in Science.
link
-
Using a Complex Systems Approach to Study Educational Policy
Study by Datascope Analytics published in Science.
-
midVentures LAUNCH conference
Datascope Analytics attends entreprenuership conference.
-
OrganicChart™ of ISEN
We developed a tool to visualize the connectivity between 24 research centers with 400+ faculty in several different research areas.
-
Datascope Analytics has moved!
Datascope Analytics now has (nearly) enough whiteboard space.
-
NBA Playoff Plinko
Despite lopsidedness of NBA playoffs, the Boston Celtics are the likely winners tonight.
-
Playoff Plinko
Will Mike get to see Toews hoist Lord Stanley's cup? Probably not, but at least he saw Game 5.
-
The role of mentorship on protege performance
Study by Datascope Analytics published in Nature.
link
-
Mentorship study published: Age gap matters
Study by Datascope Analytics published in Nature.
-
Forbes names Evanston Incubator one of Top 10 incubators
Datascope Analytics' office building recognized by well-known business magazine.
-
How often do NHL playoff series go the distance?
Will I get to watch Toews hoist Lord Stanley's cup?
-
LivingReport™ of collaboration at McCormick
We designed a LivingReport™ to visualize collaborations among faculty and departments in the McCormick School of Engineering.
-
DESIGN:Chicago
Business by design
-
Science of team science
How do teams become more than the sum of their parts?
-
Driving Innovation Through Design
This workshop brought together academic researchers and industrial practitioners from engineering, business, economics, journalism, arts,
-
OrganicChart™ of Segal Design Institute
We designed an OrganicChart™ for end-users to explore the relationships between design programs throughout Northwestern University.
-
Datascope featured in alumni newsletter
Good press from alma mater.
-
First mover advantage
Property ownership disparity from player ordering.
-
Time to trade on the Monopoly real estate market
Was He-Who-Must-Not-Be-Named's bad fortune a consequence of poor strategy of waiting for the blue properties before trading or p
-
Location, location, location! The path of the Monopoly hat
Game play dynamics influence relative property value in non-trivial ways.
-
Height differences among professional athletes
Explanations welcome
-
Gender bias in DePaul University tenure decisions
What do the numbers say?
-
Hemingway, User690, and you
The hubbub with human activity patterns
-
How would Einstein use e-mail?
Study by Datascope Analytics published in Science.
-
'Sorry I Haven't Written': A Scientific Explanation
The randomness of when we write letters and why.
link
-
How Would Einstein Use Email?
Letter writers of yore had same correspondence patterns as E-mail users today
link
-
On Universality in Human Correspondence Activity
Study by Datascope Analytics published in Science.
link
-
Zero: fantasy football whiffs are common and hurt
One of the most important numbers in football, pun intended.
-
"New style" website released
Feedback (still) welcome.
-
I am ready for some football
Are running backs and wide receivers worth the fantasy football hype?
-
Offices in Evanston Incubator
It's official. We have an office.
-
Release of first website
Feedback welcome.
-
Datascope Analytics, LLC is alive!
It's official. We are in business
-
New Technique's Gonna Find Out Who's Spammy or Nice
You are how you e-mail: A new technique can tell people apart using only the timestamps in their Sent folders.
link