Category: Uncategorized

  • How do you prioritize research?

    How do you prioritize research?

    One of the most fun and challenging parts of my job is setting bitly’s research agenda. We’re a startup, so this means prioritizing the set of questions we look into in the context of what will be most beneficial for the rest of the business, for the short and long-term, by creating opportunity and opening up potential futures. We work on a wide variety of projects, from pure research to press collaborations to infrastructure and experimental products.

    We always have a list of research questions way longer than we have time and resources to pursue, so we developed a process for evaluating whether a given question is worth pursuing at a particular time.

    This is the kind of process that I’ve only discussed with several people over whisky (thanks!), but not seen written up. I initially had a much longer list of questions but have decided to keep it as simple as possible, to frame a discussion but not dictate or burden it. I hope it’s helpful and I would love to hear about other appproaches.

    For each research question that we might look into, we ask the following:

    1. State the research question.
    2. How do we know when we’ve won?
    3. Assume we’ve solved this question perfectly. What are the first things that we’ll build with it?
    4. If everyone in the world uses this, how does it change human behavior?
    5. What’s the most evil thing that can be done with this?

    State the research question.

    It’s important to state the question in language that everyone can understand. The bitly team comes from a variety of scientific and business backgrounds, and we’ve developed some of our own common vocabulary, but it still takes a bit of effort to make sure that everyone understand the fundamental challenge and why it’s interesting.

    How do we know when we’ve won?

    Here we define the metrics that we’ll use to measure our success. For some questions, this is obvious, and for others it’s impossible to define — we can at least acknowledge that ahead of time.

    Assume we’ve solved this question perfectly. What are the first things that we’ll build with it?

    This question allow us to assess the potential business and product impact. What capabilities will we have with this that we don’t have now? It allows us to keep the long-term research vision in mind while still optimizing for shorter-term opportunities.

    If everyone in the world uses this, how does it change human behavior?

    What’s the maximum potential impact of this work? If it’s not inspiring, is it worth pursuing at all?

    What’s the most evil thing that can be done with this?

    I don’t ask this question to encourage evil (>:]) but as a creative tool for expanding how we think about validity, impact, and potential applications of the research. The label evil is so ridiculous that it permits people share their craziest ideas. Plus, it’s always a fun conversation to have.

    Finally

    I’m always revising this list, and I would love to hear how you think about prioritizing your work.


  • DataGotham: The Empire State of Data

    DataGotham: The Empire State of Data

    I’m extremely excited about DataGotham, a conference that I’m co-hosting with friends and fellow New York data nerds Drew, John, and Mike.

    DataGotham is a celebration of the NYC data community, and will bring together professionals from all industries in New York that are built around data, from finance to fashion and from startups to the Fortune 500 and government. The event is September 13th – 14th at NYU, with tutorials and The Great Data Extravaganza Show (with cocktails!) at the Tribeca Rooftop Thursday evening, and a single track conference Friday. Our speakers and sponsors are all amazing. You can register now.

    While DataGotham is definitely a labor of love, there are numerous reasons to do it. I believe that New York has a distinct data philosophy — the study of human behavior — that is unique and should be celebrated. We have an large population of local badass data hackers, and our community will only grow stronger if we can build relationships across the industry divides. Finally, there’s an opportunity for all of us to influence the future of data science, and this event will highlight some voices that might not otherwise be heard.

    I hope to see you there!

    (Also, anyone who made it this far through can register with code “dataGothamist” for 25% off :) )


  • Why I love New York City

    Why I love New York City

    New York is infinite.

    A human can only explore a place at a particular speed. The rate of change in New York exceeds the rate at which a person can possibly experience the city, and so it is impossible to run out of city to experience.

    New York is a neighborhood.

    At the same time, New York is a mosaic of wonderful little neighborhoods. What many visitors miss and all residents know is that you rarely have to walk more than a few blocks from home for any of life’s essentials, and enough people do the same that you find yourself saying hello.

    New York is chaotic.

    You are never the weirdest thing you see. The city will give you things to think about, and more. It is never boring, and you cannot take it for granted.

    New York is opportunity.

    Everyone comes through New York, eventually. Whatever food, material goods, or unexpcted experiences you look for can be found or made here, including Japanese Hotdogs, Cuban Chinese restaurants, salons only for curly-haired girls, and spontaneous art and even opera.

    But what, no tech scene?

    New York does have a thriving tech community full of wonderful people that I’m excited to work alongside for many years, but I fell in love with the city long before it belonged to us.

    BTW, if you’ve seen Avengers or Batman, you know that no city is destroyed so beautifully as ours.


  • Identity Slippage, and what’s the weirdest thing you’ve been e-mailed by accident?

    Identity Slippage, and what’s the weirdest thing you’ve been e-mailed by accident?

    I have an old, short, and concise gmail address (my first initial and last name at gmail.com). There are many other hmasons in the world who have since signed up for gmail, with variations on the “hmason” theme. Every so often, they mistype the address, or someone mishears it. I now receive between four and ten pieces of e-mail per week meant for other hmasons. This was pretty amusing until someone opened an amazon account on that address (which I had to shut down). Poor Holly has never seen a single Citibank credit card statement (and Citibank won’t remove the e-mail address from the account when I call, since I’m not the account holder). Heidi hasn’t linked her Paypal account to her bank account, but I’m waiting for someone to send her money.

    This sort of unwitting misattribution results in an identity slippage that could actually have some fairly interesting consequences. We’ve settled on e-mail as a unique identifier across platforms, but we increasingly cannot rely on that assumption.

    I saw Chris Adam‘s comment on Twitter this morning and can’t agree more — it should become standard practice to confirm an e-mail address before sending personally identifiable or sensitive data. Now, please.


  • Hacking the Food System: The Ultimate Chocolate Chip Cookie

    Hacking the Food System: The Ultimate Chocolate Chip Cookie

    liquid n2 ice cream

    Food+Tech Connect is putting together a fun series of essays where technologists and foodies share their opinions on how to hack to the food system.

    They also had a great party, with liquid nitrogen ice cream and other very cool foods.

    I’m honored to have been asked to participate, especially since food and tech are two of my favorite things! I decided to write about a hack that I did about three years ago, where I wrote a parser and built a statistical model of chocolate chip cookie recipes that I crawled off of the web.

    I’d like to tell you the story of the Ultimate Chocolate Chip Cookie Recipe.

    This isn’t the Neiman Marcus $65,000 cookie recipe. Nor is it the classic Toll House Chocolate Chip Cookie recipe that we all grew up with (and, though the instructions are all the same, my Mom made the best). This is a recipe learned from thousands of bakers around the world, via love and math.

    Read the rest of the essay on their site. I’d love to know what you think!

    Special thanks to Matt LeMay for language-clarifying edits to the piece.