Welcome to the North Texas Chapter of the Association of Continuity Professionals (ACP). ACP is a non-profit professional organization, which provides a forum for the exchange of experiences and information, for business continuity professionals, throughout a network of local chapters.

Founded in March of 1986, the North Texas Chapter is one of the oldest continuously meeting chapters, and among the largest by membership, serving the Dallas/Fort Worth metroplex.  Meetings are held on the first Tuesday of every month, unless the first Tuesday coincides with a holiday week.  We invite you to attend our next meeting.


 

Pandemic Planning Article

SOME TECH COMPANIES MADE PANDEMIC PLANS YEARS AGO. WE CAN LEARN FROM THEM

 

July Meeting

Date/Time: Tuesday, July 7, 2020  Noon - 1:30 PM

Where: Virtual Meeting (meeting info will be provided for those who RSVP)

Topic: Pandemic Stories: Snapshots of Recovery

Presenter: Steve O'Neal, Agility Recovery

 


 

Attendees should anticipate a minimum of 1.5-hour meetings, with the expectation that meetings may last for 2 hours. Please join us for our next meeting!

Anyone interested in hosting an event or speaking at an upcoming meeting, please contact our Programs Director.

Note: Additional information on regular meeting locations can be found on the Events page.


 

 ACP North Texas,

 Business Continuity Awareness Week was May 18th – 22nd. Did you participate in any outreach and awareness activities? Did the pandemic provide all the resiliency awareness your organization needs? Be sure to share your success stories during our next ACP meeting.

On a separate note, I’ve noticed lately many research articles finding their way to my LinkedIn feed or inbox. Content ranges from very interesting, practical, or just makes you go “hmm”. I thought I’d share a few that stuck out to me.
 
A recent study from Yale analyzed municipal wastewater as a method to detect COVID-19. Rather than the delay of being symptomatic and receiving test results back, this study suggests communities can predict forthcoming COVID-19 cases with a full week’s notice by analyzing the sewage - giving public health officials an indicator of what is to come. This form of “wastewater epidemiology” has been used previously to detect polio in other countries. While it might be pretty gross, what an interesting way to indicate how a community is trending – just look at their waste.
 
 
Decades of social science research and disasters tells us a great deal about warnings, risk communication, and advisories. Kathleen Tierney from the Natural Hazards Center highlights that those at risk from COVID-19 must be able to receive and comprehend warning information, understand that it applies to them personally with the capacity to implement appropriate protective measures. Subgroups within the population may struggle with questionable information sources or are not likely to personalize advisories and take them seriously. Social inequalities heavily influence who is disproportionately impacted as well (i.e. salaried full time working from home versus hourly employees reporting on-site). It will be interesting to see how advisory fatigue sets in and how diligent we all remain with the protective actions we are personally taking.
 
 
Now that we are a few months into the pandemic, anticipate more epidemiological studies and social science research to find its way into your inbox or LinkedIn. Those with strong methods in peer reviewed academic outlets may be worth a read. While their purpose is not to solve practical issues, they can help inform our approach to making our organizations more resilient as we continue during this pandemic. I might ignore studies with a small sample size (n<20) or content with less than a 95% confidence interval, however.


Stay resilient! 

 

Luis Tapia, CBCP, CEM

North Texas Chapter President


 

Not receiving chapter newsletters or meeting invitations? 

Please ensure your e-mail contact information is current in the ACP International site.  We pull our chapter member contact information from their database.