As the director of the MIT Megacity Logistics Lab, Matthias Winkenbach has cities on the brain. Whether it’s urban logistics, infrastructure design or data analytics, Matthias is at the center of the next wave of solutions to the urbanization movement. In the second episode of a three-part series, Matthias provides a ground-level look at the most exciting innovations surrounding city delivery. How is urban density both a cure and curse for sustainable urban logistics?
In 2012, a capacity crisis in Brazil’s e-commerce distribution channels delivered a wake-up call to the country’s largest online retail platform, B2W Companhia Digital. The company decided that its last-mile distribution strategy had to become more systematic and analytically grounded. This year, B2W began implementing a re-engineered network design, based on a model developed in collaboration with the MIT Center for Transportation & Logistics (MIT CTL).
In this webinar, MIT research scientist Matthias Winkenbach discusses how interactive visualization and augmented reality technology will change the way we access, understand, and utilize complex systems and logistics data. In supply chains and other large systems, the complexity of decision-making is becoming increasingly problematic. To manage the process, we need sophisticated analytics — but we must still engage the human element for best outcomes.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".