Latest / Leading Local Insights / Grant Funding and Nationwide Alerting for Public TV Stations
Transcript
- 0:00Kevin Ruppenthal: Hi, my name is Kevin Ruppenthal and I'm the Director of Operations at SpectraRep, which full disclosure is an affiliate of BIA Advisory Services.
- 0:09Kevin Ruppenthal: I've been invited by BIA to discuss an important topic for public broadcasters, so I'm glad to be here and appreciate you listening.
- 0:16Kevin Ruppenthal: A quick intro to SpectraRep our company is the decades-long leader in data casting services for first responders, emergency management and education.
- 0:25Kevin Ruppenthal: Today we're discussing CPB's Next Generation Warning System Grant Program.
- 0:30Kevin Ruppenthal: Year one is a $40 million program available to public broadcasts television and radio stations for funding equipment upgrades with a focus on enhanced alerting and warning capabilities, including ATSC 3.0 for television stations.
- 0:45Kevin Ruppenthal: CPB has conducted several webinars on this topic and is prioritizing stations that reach underserved communities, especially those in rural or tribal areas.
- 0:54Kevin Ruppenthal: CPB has made it clear that anything that improves station resiliency and delivering those services is qualified for the grant programming and is encouraging stations to quote dream big.
- 1:05Kevin Ruppenthal: With me today on the podcast is my colleague, John McCoskey, Chief Operating Officer of SpectraRep, and he's going to answer several common questions we've been hearing about this grant.
- 1:15Kevin Ruppenthal: Our goal is to help make the application process very easy for our listeners.
- 1:19Kevin Ruppenthal: So, John, I've given an overview of the NGWS grant, but please add a bit more color and explain how SpectraRep is involved.
- 1:28John McCoskey: Sure, thanks Kevin.
- 1:29John McCoskey: As background, SpectraRep has partnered with public television stations on data casting initiatives for more than two decades and literally across the country, so most stations know us from our work in public safety and emergency management and more recently for remote learning during COVID.
- 1:43John McCoskey: We're the company that worked with APTS and the California Public Television Stations on delivering earthquake early warning alerts using data casting across the state and since then we've expanded the alert and capability beyond earthquakes to include FEMA all hazards alerts using public television data casting and that capability precisely aligns with the ultimate goals of the NGWS program, which is to reach more of the population with IPAWS alerts.
- 2:09Kevin Ruppenthal: And John, as you've explained, this grant is providing much needed support for the development of nationwide public alert and warning systems using data casting.
- 2:17Kevin Ruppenthal: Can you briefly explain what is public alerting over data casting and how is it different from EAS?
- 2:26John McCoskey: Great question, Kevin.
- 2:27John McCoskey: EAS delivers alerts to television viewers and radio listeners over their video and audio services and we've all experienced that during regular tests on TV and radio.
- 2:36John McCoskey: Those alerts are critical and, to be clear, enhanced EAS equipment is supported by the NGWS grant program.
- 2:42John McCoskey: However, those alerts only reach people who have their TV or radio on at the time of the alert.
- 2:47John McCoskey: SpectraRep's public alerting system takes alerts directly from FEMA IPAWS and routes them to appropriate public TV transmitters who then broadcast the alerts directly to purpose built receivers in a home office or school really any place that can benefit from receiving an alert.
- 3:03John McCoskey: So they're not sending to TVs and radios, they're sending to a specific alerting receiver for that purpose.
- 3:08John McCoskey: These alerts are hyper localized to the geographic polygon included an IPAWS alert and, unlike EAS, which is often sent to a whole county or even multiple counties, that may be received by people not actually affected by the alert.
- 3:23Kevin Ruppenthal: So, John, I'm thinking some of our listeners will probably be hearing about this system for the first time, so can you touch on our that there have been proven demonstrations of public alerting using data casting?
- 3:34John McCoskey: Yeah, another great question Kevin.
- 3:36John McCoskey: So the California example that I said earlier is probably the best one because it's been around for quite a while and it's really a good demonstration of data casting.
- 3:44John McCoskey: So public television is the fastest mechanism to deliver earthquake early warning alerts by far much faster than any other mechanism, and currently 11 public television stations in California can reach approximately 35 million people nearly simultaneously in a second or less.
- 4:01John McCoskey: So think about that being able to reach that size population, that size geography with an alert at all at the same time.
- 4:08John McCoskey: Perfect for us.
- 4:09John McCoskey: Great early warning.
- 4:11John McCoskey: And probably the second and most interesting capability is the same system can deliver alerts to enterprise systems located to drive automated actions instead of alerting individuals.
- 4:21John McCoskey: So that might be automatically opening the doors of the firehouse before they were jammed due to earthquake shaking, or closing a gas valve, opening a gate really anything that needs to happen automatically when the area is going to be affected by an incident.
- 4:34John McCoskey: The enterprise alerting receivers can do that Through the good work of APTS and the California stations.
- 4:41John McCoskey: The efforts there have been funded by the state since 2017.
- 4:45John McCoskey: So it's a program that's got some good history and good success.
- 4:50Kevin Ruppenthal: Yes, this, this grant really is a tremendous opportunity for stations to fund equipment purchases, installation and training, all with the goal of improving their station resilience and security and improving the transmission of emergency alerts and warnings to their local communities as well.
- 5:05Kevin Ruppenthal: So, John, please tell our listeners what has SpectraR ep prepared to help with the application process?
- 5:13John McCoskey: Well, first of all, we've lived in the grants world for decades.
- 5:16John McCoskey: We understand how they work and how to best apply.
- 5:18John McCoskey: We have what we think is a small equipment package that will equip stations for public alerting that's fully aligned with the NGWS program and will actually help applicants, because it's tied to the primary goal of advanced warning.
- 5:30John McCoskey: And if a station wants to add the package to their grant application, they can literally download, cut and paste into each of the grant forms and, frankly, be done.
- 5:37John McCoskey: We set up a web page that has all of those elements and instructions on how to use them at www.
- 5:43John McCoskey: spectrarep.
- 5:43John McCoskey: com.
- 5:44John McCoskey: You can find everything you need there and we're also happy to be an extra set of eyes on a grant application if that would be useful, since we think we have a very deep understanding of the program and its goals.
- 5:56Kevin Ruppenthal: John, thank you very much.
- 5:57Kevin Ruppenthal: This is so helpful and I reiterate that we invite people to visit our grant resource page at www.
- 6:02Kevin Ruppenthal: spectrarep.
- 6:02Kevin Ruppenthal: com and click the resources link in the navigation area.
- 6:05Kevin Ruppenthal: That page contains all the instructions on how to apply for the grant and if anyone has further questions on how to apply using SpectraRep data casting and public alerting, feel free to contact us at info at www.
- 6:18Kevin Ruppenthal: spectrarep.
- 6:18Kevin Ruppenthal: com for help.
- 6:20Kevin Ruppenthal: We are really excited about this grant and the real possibility it opens up for a nationwide alerting and warning system across the United States using advanced broadcasting.
- 6:30Kevin Ruppenthal: Thank you for listening.