Where and when will HOPE 2020 happen?

HOPE 2020 will take place online from July 25 through August 2, 2020.

Is it necessary to buy a ticket in advance?

Yes. Because the event is entirely online, attendees need to receive updates on the websites and other information about how to attend.

Only registered attendees will be able to participate in the live Q&A with speakers and keynotes. Live workshops and other content will only be available to registered attendees who purchase a ticket in advance.

Is it safe to buy a ticket online?

The 2600 store, hosted by Shopify, is at least as safe as any other online vendor. We've been operating our store since 1999 and have kept customer data secure throughout that period while also maintaining one of the highest ratings of customer satisfaction. Contrary to the myths perpetuated by the mass media, hackers are the ones who know about the security flaws and will take steps to protect customers.

Can I buy a ticket with bitcoins?

Yes! HOPE became the first conference in America to accept bitcoins back in 2014. You can pay for your preregistration using Bitcoin, Ethereum, PayPal, and all major credit cards at the 2600 store.

Is Internet access required to experience HOPE?

In a word, yes! The conference is a scheduled event, so if you want to participate live while it happens, you need to be online.

Any connectivity that supports other live content should be sufficient for HOPE.

For the live interaction, such as Q&A after a speaker session, you would either need to be able to run video conferencing software, or send questions in writing. Details will be shared with attendees when the conference is near.

Are you on Twitter?

Yes, please follow @hopeconf.

What exactly is a hacker?

A hacker is someone who is curious and creative, and seeks to understand how things work, especially complicated systems. Many hackers use technology to perform their investigations, and enjoy sharing information about their findings with other people. Often, hackers are willing to exceed boundaries of expected behavior, to better understand systems they are interested in.