Community Safety and Well Being Symposium 2020
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Data for Good Regina talks about how it has used data to help organizations understand their data better so that they can further their mission. They talk about the United Way Summer Success Program and the datathon with the Distress Centre in Calgary.
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Community Safety and Well Being Symposium 2020
- 1. #dataforgood | #CSWB2020 | @kevinhayesca regina for good data
- 2. #dataforgood | #CSWB2020 | @kevinhayesca
- 3. #dataforgood | #CSWB2020 | @kevinhayesca
- 4. #dataforgood | #CSWB2020 | @kevinhayesca data for good Regina
- 5. #dataforgood | #CSWB2020 | @kevinhayesca Build data literacy in social focused organizations
- 6. #dataforgood | #CSWB2020 | @kevinhayesca Contributepositively to the data communityin Regina
- 7. #dataforgood | #CSWB2020 | @kevinhayesca Meetups Data Ambassadors DataThons
- 8. #dataforgood | #CSWB2020 | @kevinhayesca Meetups Data Ambassadors DataThons Meet once a month to talk data
- 9. #dataforgood | #CSWB2020 | @kevinhayesca Meetups Data Ambassadors DataThons Data people, non-data people, CBO’s, government, private sector
- 10. #dataforgood | #CSWB2020 | @kevinhayesca Meetups Data Ambassadors DataThons
- 11. #dataforgood | #CSWB2020 | @kevinhayesca Data AmbassadorsMeetups DataThons Work with CBO’s or on projects for CBO’s at the early stages of their data journey
- 12. #dataforgood | #CSWB2020 | @kevinhayesca Regan Meloche Maryna Moskalenko Ricardo Del Cid ScottWells Data AmbassadorsMeetups DataThons
- 13. #dataforgood | #CSWB2020 | @kevinhayesca Summer Success Program Data collection, storage, and visualization system
- 14. #dataforgood | #CSWB2020 | @kevinhayesca Capture Store Process Analyze Share Preserve Strategies, Policies & Guidelines People & organizational bodies Data Quality Processes Data Governance
- 15. #dataforgood | #CSWB2020 | @kevinhayesca
- 16. #dataforgood | #CSWB2020 | @kevinhayesca
- 17. #dataforgood | #CSWB2020 | @kevinhayesca Anonymized Data Security Controls In Place Self-maintained Setup for Future Growth Summer Success Program Dashboard • The literacy across camps • If, and what type of, resources impacted literacy rates • Males vs Females • Attendance vs. Literacy improvement
- 18. #dataforgood | #CSWB2020 | @kevinhayesca DataThon 24-hour+ workshops in which small groups of data-focused people collaborate intensely on a business problem for a CBO.
- 19. #dataforgood | #CSWB2020 | @kevinhayesca DataThon
- 20. #dataforgood | #CSWB2020 | @kevinhayesca DataThon • Severity: Identify any changes in call content and severity by time of day • Risk Reduction: What types of issues we are most successful at stabilizing, or reducing the risk • Relationship: Correlations between our data and public data sets like deaths by suicide in Alberta and weather records. • Mobile ResponseTeam: Is there enough demand to run this 24 hours a day.
- 21. #dataforgood | #CSWB2020 | @kevinhayesca Data is structured, organized and accessible DataThon
- 22. #dataforgood | #CSWB2020 | @kevinhayesca Internal confidence to pursue human capital DataThon
- 23. #dataforgood | #CSWB2020 | @kevinhayesca Increase skill sets around data tools DataThon
- 24. #dataforgood | #CSWB2020 | @kevinhayesca 1 + 1 = 3 DataThon
- 25. #dataforgood | #CSWB2020 | @kevinhayesca • 72 hours • 50 data volunteers • 1.25 million records • Chats and texts over 12 years DataThon
- 26. #dataforgood | #CSWB2020 | @kevinhayesca • Distress Centre • 211 • Open Calgary Data • Statistics Canada DataThon Data Available
- 27. #dataforgood | #CSWB2020 | @kevinhayesca DataThon AnalyticsTeam 1 • Identify the issues discussed more frequently. • Identify differences in average length of call . • Identify difference in the severity of risk. • Identify differences in demographic makeup of the clients. Tools: Splunk, R, Excel AnalyticsTeam 4 • Identify if there is any correlation in the months where the highest numbers of deaths by suicide have occurred in Alberta and the issues/severity of risk presented in Distress Centre calls and chats. • Identify how many calls could have been linked to our primary mobile partner if they operated 24 hours (calls between 9pm and 9:30am). Tools: Python & R
- 28. #dataforgood | #CSWB2020 | @kevinhayesca “We can put a myth to rest, no correlation was found between full moons and the number of calls or the severity of calls. So, there is no reason for staff or volunteers to avoid these shifts.They are no more demanding than any other day. "
- 29. #dataforgood | #CSWB2020 | @kevinhayesca DataThon Some Key Findings • The Mobile ResponseTeam can operate 24 hours a day. • Men call in and talk about suicide when they at an escalated state. • No correlation between suicide-related calls and deaths by suicide was found. • Most calls remained at the same risk assessment level at the end of the call. • Of the calls where risk level changes, the most common change is for a call to move from urgent to semi-urgent showing some good de-escalation progress.
- 30. #dataforgood | #CSWB2020 | @kevinhayesca DataThon Some Key Findings • The Mobile ResponseTeam can operate 24 hours a day. • Men call in and talk about suicide when they at an escalated state. • No correlation between suicide-related calls and deaths by suicide was found. • Most calls remained at the same risk assessment level at the end of the call. • Of the calls where risk level changes, the most common change is for a call to move from urgent to semi-urgent showing some good de-escalation progress. • No discernable weather correlation (high and low temperature) was found in 211 calls.
- 31. #dataforgood | #CSWB2020 | @kevinhayesca Team 5 mapped spatial data to calls postal code data and created a visual representation of data usingTableau and PYXISWorldView. DataThon
- 32. #dataforgood | #CSWB2020 | @kevinhayesca DataThon “We have established a baseline for the monthly and seasonal expected changes for caller issues – which we can use to compare data to in the future”
- 33. #dataforgood | #CSWB2020 | @kevinhayesca DataThon • Build internal capacity and hire data focused people • Set them up for long term success • Prove out that data helped them solve problems • Answer real business questions • Invigorate their team
- 34. #dataforgood | #CSWB2020 | @kevinhayesca When does data work?
- 35. #dataforgood | #CSWB2020 | @kevinhayesca When does data work? • Mindset • Champion • ProblemTo Solve • IT
- 36. #dataforgood | #CSWB2020 | @kevinhayesca
- 37. #dataforgood | #CSWB2020 | @kevinhayesca ral Alberta Non-Profit Data Strategy
- 38. #dataforgood | #CSWB2020 | @kevinhayesca ral Alberta Non-Profit Data Strategy http://bit.ly/2uXWfVu
- 39. #dataforgood | #CSWB2020 | @kevinhayesca ral Alberta Non-Profit Data Strategy Non-profits see data as a strategic asset, but…
- 40. #dataforgood | #CSWB2020 | @kevinhayesca ral • Privacy • Ethics • Technical barriers • Quality of data • Complicated software • Lack of capacity &Training Alberta Non-Profit Data Strategy
- 41. #dataforgood | #CSWB2020 | @kevinhayesca ral Alberta Non-Profit Data Strategy Phase 1: Stakeholder Engagement Project White paper (July 2018): http://bit.ly/2PKYDWM Building a Foundation for an Alberta Nonprofit Data Strategy (March 2019) http://bit.ly/2vtNbbe
- 42. #dataforgood | #CSWB2020 | @kevinhayesca ral Alberta Non-Profit Data Strategy
- 43. #dataforgood | #CSWB2020 | @kevinhayesca ral Alberta Non-Profit Data Strategy Phase 2: What does implementation look like
- 44. #dataforgood | #CSWB2020 | @kevinhayesca ral we can help
- 45. #dataforgood | #CSWB2020 | @kevinhayesca ral data for good people organizations
- 46. #dataforgood | #CSWB2020 | @kevinhayesca Kevin Hayes kevin@kevinhayes.ca | @kevinhayesca 306 530 5062 Google: Data for Good Meetup Regina
Editor's Notes
- Making repeated judgements depelts an individuals executive function and mental resources. Sequential decision making and the apparent mental depletion that they appear to evoke also can dirve people to simplify decisions by accepting the the status quo.
- 1) community schools offering summer success most often select teachers who will be working with the students in the fall. Therefore it is imperative to gather data quickly and efficiently. While United Way only receives anonymous student data, the teachers can utilize summer success student data to immediately prepare for supports to assist the students returning to school in September. 2) sharing compelling images alongside quantitative data is great - but add qualitative data to demonstrate the impact and reporting results as quickly as possible after the program ends to tell a well rounded story of impact to volunteers and investors is the ultimate goal 3) Because there are so many different data collection tools and methods, when working with 22 different camps we wanted to reduce the amount of variables and margin for error by utilizing one common tool, with consistent data fields and consistent training for the one teacher designated for data collection and reporting 4) UWR has a very complex database system that requires extensive training and does not allow external access 5) Because SS is now working with many schools in 6 school divisions throughout southern Saskatchewan, the ability to input the data in an effective and efficient way is valuable. 6) The system also put parameters around what data can be included and how it is input, therefore ensuring consistency of the data. 7) It also speeds up the collection of data and streamlines it so we don’t have to compile (preventing errors in doing so) and also allows for reporting back quickly to all stakeholders.
- Explain what a datathon is
- list of objectives tasked the groups to explore items of analytics
- Data is structured, organized and accessible – this opens up oportunties for academic research and the distress cenres robust and regular analysis. Our experience with Data for Good has energized our curiosity about our data and what stories it can tell us.
- We are convinced of the value and power of data – we’d like to pursue adding a data analyst role to our organization
- We have been introduced to a variety of tools that could help us save time in analyzing data, to better present and show our findings and to look for correlations and trends that have previously gone unnoticed.
- We were connected to an incredible group of knowledgeable volunteers who were passionate about our work and looked at our data with fresh eyes, prompting new ideas of how to approach some of our analysis, including what data we could access publicly to compare to.
- 6 Analytics teams in total
- The tools and specialst are out there, the technology is out there. So much unsexy work needs to happen. Mindset – You have to make this work Champion – Someone who can drive this Questions – looking at data actually is a great way to get more questions. They new what they wanted to answer
- Ontario Nonprofit Network (ONN) shows that the value of data can be dramatically increased when it is shared. Through data sharing we can see patterns and gain insights that would not be apparent if data remained closed in organizational silos. The report also shows that efforts are likely worth it – the benefits of a data strategy include using evidence to inform more responsive programs and services, learning and communicating about impact, and collaborating more effectively.
- Ontario Nonprofit Network (ONN) shows that the value of data can be dramatically increased when it is shared. Through data sharing we can see patterns and gain insights that would not be apparent if data remained closed in organizational silos. The report also shows that efforts are likely worth it – the benefits of a data strategy include using evidence to inform more responsive programs and services, learning and communicating about impact, and collaborating more effectively.
- Ontario Nonprofit Network (ONN) shows that the value of data can be dramatically increased when it is shared. Through data sharing we can see patterns and gain insights that would not be apparent if data remained closed in organizational silos. The report also shows that efforts are likely worth it – the benefits of a data strategy include using evidence to inform more responsive programs and services, learning and communicating about impact, and collaborating more effectively.
- Ontario Nonprofit Network (ONN) shows that the value of data can be dramatically increased when it is shared. Through data sharing we can see patterns and gain insights that would not be apparent if data remained closed in organizational silos. The report also shows that efforts are likely worth it – the benefits of a data strategy include using evidence to inform more responsive programs and services, learning and communicating about impact, and collaborating more e With the support of a Government of Alberta Ministry of Culture, Multiculturalism, and Status of Women grant, PolicyWise is working with the Alberta Nonprofit Network (ABNN) and other partners to continue the work on building the foundations for an Alberta Nonprofit Data Strategy. ffectively.
- We want too work no projoects We want to omove thigns through the ystem, that maybe you. Can’t no your won.
- People – train, to do the work, to support our community