
Steve Goldsmith
Derek Bok Professor of the Practice of Urban Policy at Harvard Kennedy School; Director of Data-Smart City Solutions; host of Data-Smart City Pod; former Mayor of Indianapolis.
2
APPEARANCES
2
PODCASTS
012
DEC 30
JAN 6
JAN 13
JAN 20
JAN 27
FEB 3
FEB 10
FEB 17
FEB 24
MAR 3
MAR 10
MAR 17
MAR 24
MAR 31
APR 7
APR 14
APR 21
APR 28
MAY 5
MAY 12
MAY 19
MAY 26
JUN 2
JUN 9
JUN 16
JUN 23
JUN 30
JUL 7
JUL 14
JUL 21
JUL 28
AUG 4
AUG 11
AUG 18
AUG 25
SEP 1
SEP 8
SEP 15
SEP 22
SEP 29
OCT 6
OCT 13
OCT 20
OCT 27
NOV 3
NOV 10
NOV 17
NOV 24
DEC 1
DEC 8
DEC 15
DEC 22
DEC 29
JAN 5
JAN 12
JAN 19
JAN 26
FEB 2
FEB 9
FEB 16
FEB 23
MAR 2
MAR 9
MAR 16
MAR 23
MAR 30
APR 6
APR 13
APR 20
APR 27
MAY 4
MAY 11
MAY 18
MAY 25
JUN 1
JUN 8
JUN 15
JUN 22
JUN 29
JUL 6
JUL 13
JUL 20
JUL 27
AUG 3
AUG 10
AUG 17
AUG 24
AUG 31
SEP 7
SEP 14
SEP 21
SEP 28
OCT 5
OCT 12
Jul 23, 2026
How AI in government can turn city data into better services
9:45
9:55
10:04
10:16
10:24
10:34
11:20

Bill EggersHOST
what would be, with that kind of data, how would that impact different policy decisions or operations?

Steve GoldsmithGUEST
So it would mean that from 4 to 6 on Saturday night, that the price of parking goes up.

Steve GoldsmithGUEST
It would mean that from 10 to 12, commercial loading zones would increase in the number of zones, and you'd have an advantage for electric vehicles.

Steve GoldsmithGUEST
It would mean that you couldn't drop your scooter off in front of a restaurant for people to drop off without a financial penalty.

Steve GoldsmithGUEST
It would mean that the use of the curb would was more connected to the quality of life in the community with dynamic variations in management.

Steve GoldsmithGUEST
You could look at, as you know, anonymized cell phone data to determine where the density of pedestrian traffic is so that it would change how you handle valet parking and outdoor cafes.

Bill EggersHOST
So what's the promise here and how can governments better capitalize on this promise?
How AI in government can turn city data into better services
9:45
9:55
10:04
10:16
10:24
10:34
11:20

Bill EggersHOST
what would be, with that kind of data, how would that impact different policy decisions or operations?

Steve GoldsmithGUEST
So it would mean that from 4 to 6 on Saturday night, that the price of parking goes up.

Steve GoldsmithGUEST
It would mean that from 10 to 12, commercial loading zones would increase in the number of zones, and you'd have an advantage for electric vehicles.

Steve GoldsmithGUEST
It would mean that you couldn't drop your scooter off in front of a restaurant for people to drop off without a financial penalty.

Steve GoldsmithGUEST
It would mean that the use of the curb would was more connected to the quality of life in the community with dynamic variations in management.

Steve GoldsmithGUEST
You could look at, as you know, anonymized cell phone data to determine where the density of pedestrian traffic is so that it would change how you handle valet parking and outdoor cafes.

Bill EggersHOST
So what's the promise here and how can governments better capitalize on this promise?