Panel, Conference Presentation
Big Cities, Big Data: How "Smart Cities" Improve Lives & Save Money
- Event Context: The "Big Cities, Big Data" panel was held as a substitute for Los Angeles City Controller Ron Galperin, who was absent due to illness, hosted by Sean Arian of the Bixel Exchange at the LA Chamber of Commerce.
- Core Theme: The discussion focused on how cities leverage data and technology to drive social good, equity, civic participation, and efficiency, moving beyond traditional siloed infrastructure models.
- Long Beach Transformation:
- Mayor Robert Garcia established a dedicated Department of Technology and Innovation and a Citizens Innovation Commission within his first year in office.
- Long Beach secured a grant from Bloomberg Philanthropies to fund an innovation team comprising designers, social scientists, and engineers.
- Data analysis revealed a small subset of the population is responsible for a vast majority of crime and consumes disproportionate public safety resources, prompting targeted behavioral interventions.
- The city restructured procurement by shifting from fixed-solution RFPs (e.g., "buy a traffic light") to problem-based RFPs (e.g., "solve traffic at this intersection").
- Los Angeles Data Strategy:
- Former Chief Data Officer Lillian Corral facilitated a "top-down, bottom-up" approach involving Mayor Eric Garcetti and over 20,000 city employees to drive organizational change.
- LA opened over 1,100 datasets and APIs, specifically launching a "Clean Streets" index that grades streets based on real-time data to ensure resource equity.
- The "Clean Streets" initiative requires field staff (trash collectors) to directly input and grade data, integrating frontline workers into the decision-making loop.
- Data transparency tools allow citizens to view street cleanliness scores by address, creating an external accountability layer utilized by media outlets.
- Private Sector and Innovation Models:
- Steve Schwartz (McKinsey) noted that private data (e.g., ride-sharing) can optimize public transit by matching supply to real-time demand patterns rather than fixed schedules.
- McKinsey advises municipalities to adopt "pay-as-you-throw" models where waste fees are based on actual weight/volume data rather than bin size.
- Rohit Gupta (Big Sur Ventures) highlighted "data liquidity" gaps, where utilities possess rich sensor data (e.g., smart meters) but fail to monetize it or use it for predictive maintenance and fraud detection.
- AECOM's Steven Enblom described a shift from expert-driven silos to cross-agency collaboration, citing an L.A. River plan that unified previously fragmented community and agency efforts.
- Major cities are moving from capital expenditure (buying assets) to service models (buying "lumens" or connectivity) to mitigate rapid technology obsolescence.
- Philanthropy's Role:
- The Knight Foundation acts as a "social investor" to catalyze civic innovation, funding initiatives like CityMart's procurement reforms and reimagining public spaces (e.g., libraries, museums) through digital lenses.
- Bloomberg Philanthropies provided critical seed funding for innovation teams in cities like Long Beach and Santa Monica, which launched the city's "Well-Being Index."
- Foundations are increasingly bridging the gap between technology providers and civic needs, such as influencing Niantic to place Pokémon Go "Pokestops" near civic institutions.
- Challenges and Equity Concerns:
- A major barrier to innovation is the "digital divide"; over 10% of some city populations lack computer or reliable internet access, risking the exclusion of seniors and low-income residents from digital services.
- Legacy budgeting cycles and procurement processes are often too slow to accommodate rapid technological cycles, necessitating flexible pilot programs and external partnerships.
- Trust gaps between government and citizens are addressed through real-time service tracking apps (e.g., Go Long Beach) which allow users to geotag issues and track resolution status.
- Forward-Looking Strategies:
- Panelists recommend cities hire UX designers and reject PDF-heavy transparency models in favor of user-friendly, interactive data portals.
- Future city models should leverage their "asset networks" (parking meters, light poles) to generate revenue through 5G infrastructure and other distributed connectivity solutions.
- AECOM and others advocate for "Living Labs" where startups and universities (e.g., USC, Cal State) partner with cities to test solutions in real-world environments without traditional budget barriers.
- The consensus is that while data exists in silos, the immediate priority is integrating governance, breaking departmental barriers, and investing in the human capital of both public employees and entrepreneurs.