Federal Reserve Bank of Chicago’s Tool Maps Peer Cities 

Let me share one of my (not so) secret goals for FMC’s Farmers Market Metrics program – to be able to assist markets by using the profile data to build dynamic peer networks through matching typology of those markets.
This would mean that a market searching for information about trends or ideas for programs would be connected to a market that has the same type of programs, location, governance and vendor makeup. As it stands now, too often markets that are simply near to each other are unfairly compared, or markets will try to adopt programs managed by markets designed very differently from their own.

I also hope that we can also do the same for direct marketing vendors at some point, using the business characteristics to match them to peers, resources and to help select the right outlets and success measures for their business.

In the meantime, check out this tool to find data on cities similar to your own.

The Peer City Identification Tool is like a DNA test for civic data, allowing users to tell at a glance where certain cities’ specific interests and challenges align, and where they deviate—in effect, who their real siblings, cousins, and other relatives are.

Source: CityLab

Counting public gatherings in 2017-Washington Post article

The point of this post is to show how complex and grassroots public gatherings can be counted and measured. The two main researchers quoted in these Washington Post articles are Erika Chenoweth and Jeremy Pressman, both respected analysts of the details of large-scale civil movements and gatherings. As a data junkie, I have followed this effort with a great deal of interest (and have even counted some of these gatherings in my own town to check others’ counts) and look forward to more of the analysis of both the methodology and the actual count data. The analysis included not just the number who gathered but who and what was being protested or being supported, where these events were held, what symbols were used, how many arrests were made.

For March 2017, we tallied 585 protests, demonstrations, marches, sit-ins and rallies in the United States, with at least one in every state and the District. Our conservative guess is that 79,389 to 89,585 people showed up at these political gatherings, although it is likely that there were far more participants.

Certainly, food and farming systems should note some of the systems used for collection and analysis. For example, the Crowd-Counting Consortium may be something that national entities involved in any grassroots data collection systems like food systems should discuss creating for their own use.

Here is their counting method:

We arrived at these figures by relying on publicly reported estimates of march locations and the number of participants involved in each. We started a spreadsheet and called for crowdsourced information about the location and number of participants in marches. Before long, we had received thousands of reports, allowing us to derive low and high estimates for each event. We carefully validated each estimate by consulting local news sources, law enforcement statements, event pages on social media, and, in some cases, photos of the marchers. When reports were imprecise, we aimed for conservative counts; for example, if observers reported “hundreds” of participants, we reported a value of 200 (“thousands” was 2,000, “tens of thousands” was 20,000, etc).

An example of their public data set.


Visitor count article

Farmers markets across the U.S. use many different methods of counting their visitors. Some of these methods are best used for planning programmatic activities at different points of the day, while others are more reliable ways to estimate an average number per market day. The current methods most researchers accept as accurate use strategically placed staff (paid or volunteer) to count those entering or everyone within the market at a set time. These methods require defining entrances, the time span to count and who should be counted or not, such as children or groups of people. The entry count method may be difficult at those markets that stretch for blocks or have many entrances; for those there are also new methods such as capturing the number of mobile phone “pings” within a market space or using drones to snap overhead photos to count quadrants that may offer accurate data.  In order to satisfy researchers who need credible data while still acknowledging the collection capability of low-capacity markets, Farmers Market Coalition’s materials currently recommend the 20-minute timed entry count offered by the Rapid Market Assessment (RMA) toolkit.


Link to full article in FMC Resource Library

Communicating community

Hopefully, all of you who read this blog are okay with my use of Vermont as one of this blog’s recurring examples of food system work. I will caution my readers to refrain from assuming that the Vermonters think they have it all figured out just because their residents are rightly proud of its glorious revival of small-acreage farming and its rep as an organic stronghold. I’d say the state food and farming leaders are very honest about the issues that they continue to face and their assessment of what remains to do. For example, there are still no full-time market managers at all and the average market manager makes less than 10,000 per year (really, it’s likely much less but I am trying to not overstate it here) and, in a state with only 625,000 residents (the most rural state in the union with 82.6 percent of its population living in either rural areas or small cities, and many of them poor*), the 80 or so markets are always struggling with maintaining attendance and sales amid strong competition from co-ops and other well-regarded outlets. And of course, like everywhere else, the state’s farmers are pulled in so many directions trying to serve every outlet at once while dealing with weather and regulatory woes and the typical small business challenges that many are not profitable.

What is exciting is that they all try to work collaboratively at the network level to seek appealing ways to showcase producers and organizers’ hard work. The pictures below are an example of that. My home team there (NOFA-VT) has an artist who does lovely work that hang on their walls and whose art is used by NOFA in many other ways. During my last visit, Erin Buckwalter showed me this bowl in their office of farming “affirmations” from that artist some of which also include actual data. She encouraged me to take a handful and so I have been asking people at markets to reach in to my bag of cutouts and take one. What a simple way to display the difference in our system from the one that reduces everything in a store to a place for purchased advertising. So if you see me, ask to dip in and see what you get…



This one, from NOFA-VT’s imaginative and thoughtful Executive Director, will remain on my board to inspire me.



• Income and Poverty in Vermont

iMedian household income (in 2015 dollars), 2011-2015 $55,176 (US $53,889)
iPer capita income in past 12 months (in 2015 dollars), 2011-2015 $29,894 (US $28,930)
iPersons in poverty, percent Warning Sign 10.2% (US 13.5%)
Fifteen states have more than half their populations living in rural areas or in towns under 50,000 population.

Indicators (sick of them yet?)

(FYI- I have written a new, shorter version for FMC’s website.  Here is the link to it. )


2016-Congratulations to everyone who got their FMPP/LFPP grants in by the deadline yesterday. I talked or emailed with a few of you throughout that process and was impressed by the well-crafted strategies that I read and heard about.

As you can imagine, a lot of the calls I was on focused on the new prescribed indicators (performance measures) that were included with the RFP for the first time. Those were the same for FMPP as for LFPP projects and were:


Indicators 1. Of the [insert total number of] consumers, farm and ranch operations, or wholesale buyers reached, a. The number that gained knowledge on how to buy or sell local/regional food OR aggregate, store, produce, and/or distribute local/regional food b. The number that reported an intention to buy or sell local/regional food OR aggregate, store, produce, and/or distribute local/regional food c. The number that reported buying, selling, consuming more or supporting the consumption of local/regional food that they aggregate, store, produce, and/or distribute

2. Of the [insert total number of] individuals (culinary professionals, institutional kitchens, entrepreneurs such as kitchen incubators/shared-use kitchens, etc.) reached, a. The number that gained knowledge on how to access, produce, prepare, and/or preserve locally and regionally produced agricultural products b. The number that reported an intention to access, produce, prepare, and/or preserve locally and regionally produced agricultural products c. The number that reported supplementing their diets with locally and regionally produced agricultural products that they produced, prepared, preserved, and/or obtained


Indicator 1. Sales increased from $________ to $_________ and by ______ percent ( n final – n initial/n initial (100) =% change), as result of marketing and/or promotion activities during the project performance period. 14 | Page 2. Customer counts increased from [insert total number of] to [insert total number of] customers and by _____percent ( n final – n initial/n initial (100) =% change) during the project performance period.


Indicators 1. Number of new and/or existing delivery systems/access points of those reached that expanded and/or improved offerings of: a. ______farmers markets. b. ______roadside stands. c. ______community supported agriculture programs. d. ______agritourism activities. e. ______other direct producer-to-consumer market opportunities. f. ______local and regional Food Business Enterprises that process, aggregate, distribute, or store locally and regionally produced agricultural products. 2. Number of local and regional farmers and ranchers, processors, aggregators, and/or distributors that reported: a. an increase in revenue expressed in dollars: _____ b. a gained knowledge about new market opportunities through technical assistance and education programs: ______

3. Number of: a. new rural/urban careers created (Difference between “jobs” and “careers”: jobs are net gain of paid employment; new businesses created or adopted can indicate new careers): _______ b. jobs maintained/created:_______ c. new beginning farmers who went into local/regional food production: _____ d. socially disadvantaged famers who went into local/regional food production: ______ e. business plans developed:____


Indicator(s) – Only applicable to projects focused on food safety. 1. Number of individuals who learned about prevention, detection, control, and intervention through food safety practices:_____ 2. Number of those individuals who reported increasing their food safety skills and knowledge:______ 3. Number of growers or producers who obtained on-farm food safety certifications (such as Good Agricultural Practices or Good Handling Practices): _____

The applicant is also required to develop at least one project-specific outcome(s) and indicator(s) in the Project Narrative and must explain how data will be collected to report on each applicable outcome and indicator.

These confounded many,  while others  knew exactly how to use these to define their grant’s outcomes. I hope that  USDA calls in some of those who do a bang up job in setting and achieving their numbers to talk with the newbies in future years.

Because of the previous work on the trans•act tools (which include the SEED tool) while at Market Umbrella, and the more recent and engrossing Farmers Market Metrics (FMM) work I have been doing with FMC and their partners these last few years, I have become very familiar with this language and these indicators.  Most are included in the metrics chosen by FMC to be collected starting in 2016 with FMM through their own projects and through offering support to networks that area ready to embed evaluation systems in their projects.

Since I spent some time working with various project leaders on this, I thought I’d give my two cents here as to how I’d approach these if I was the lead.In this post, I’m going to talk about my general theory of data at the grassroots level and the first two outcomes; I’ll tackle #3 and #4 and unique indicators in upcoming posts.

Some may disagree with my assessment of how to handle these indicators which to me is actually a good thing since by tackling this in varying ways,  we are likely to hit on the best  methods of establishing these baseline numbers and for collecting the data.

The first thing that confounded some proposal writers is how every indicator could be met by the varied projects: of course, they cannot and are not expected to. Since some projects are focused only on increasing sales at a market and not on training or on increasing the number of outlets, some indicators are more relevant than others and should be used in more detail. Remember, these indicators are for both FMPP and LFPP projects which covers a wide spectrum and so are meant to support the general outcomes for all. It is my opinion that the  unique indicators asked for at the end  are likely to be the most useful for reviewers to read closely in order to match to the narrative or budget. I’d  expect though that those proposals that could not reasonably answer a majority of the indicators with numbers will suffer in that reviewing process, as did USDA it seems, as they recommended that everyone explain those that they couldn’t answer. Or if possible, add a piece to their project to address that indicator. And I think you can assume that USDA was being firm in saying that this pot of money should result in changes of these kinds, so if your project cannot reasonably do any of them, maybe look elsewhere for support.

I think the best way to really make these outcomes accurate  is for the project lead to write them with the vision of using them as a banner to fly throughout the term of the project for the team to hit, surpass or to discuss why they cannot be met and what that means. And that the numbers should be slightly lofty-it is better to extend the reach at the outset and urge the team to do their best work to reach or even surpass it. However, don’t just throw some outrageous numbers in there or you will be telling the reviewers and your team that you have no intention of achieving them. So even though I used the word lofty, there is something in being efficient with your project through establishing very precise numbers too.

Here is some real world experience on setting numbers: in one of my past careers, I was a staff director for a field canvass operation in Ohio and sent out a team of organizers Monday through Friday to seek support for the advocacy work we did on pocketbook and environmental issues that directly affected Ohioans (things like utility rates and knowing what toxics were stored in your neighborhood). My staff was made up of entry-level organizers trained over a few weeks to knock on doors to gather signatures, funds and letters from those who agreed with our strategy. One of the first things field managers were taught to do at the end of each evening was to check the data that the canvasser marked on the back of their clipboard to see how many actual doors were knocked on, how many people they actually talked to, how many signatures they got, how many of those that signed offered funds or a letter (sometimes a letter is harder to collect!) and so on. As a field manager and as a director, I used to pore over those to try to note patterns and efficiency. Well, surprise surprise; success did not always mean more doors were reached. As a matter of fact, the most successful canvassers were extremely efficient and usually talked to many fewer people (50% fewer than those who had a dispiriting night as a rule) and those they did talk to gave their signature, funds and other assistance at a higher rate. So I realized that higher efficiency in organizing was related to great communication techniques, planning and attitude and so focused my training on those rather than the number of contacts approached.

The other main point to share is that every staff person had to meet a quota (hated that word then and still do) and some nights some or all of them did not meet it. When the canvassers did not meet it, my field managers were trained to ask one question (in varying ways): “At what point did you realize you wouldn’t make it?” We asked that because we knew that it was the point when the canvasser mentally gave up and usually began to talk at people, rather than connecting directly. Or that they had  bias or assumptions against a certain group or type of person and that affected their night.

This little story is to say that with market projects, the same thing is probably true: Efficiency is a good plan for our tiny organizations in order to conserve ours and our vendors energy for the long haul and to be there for another day. And that how well we plan and how we address our assumptions about those we hope to reach has a lot to do with setting numbers and meeting or achieving them.

Okay let’s look at the first two outcomes now:

Outcome 1: Increase consumption and access.

The indicators that are clustered with this outcome are related, meaning that once you have established the  (a) the number of buyers and or producers that gained knowledge, you can then estimate the number (b) of those that then report an intention and then finally, the number (c) that reported actually buying, selling, aggregating etc. The second part  of this outcome is related to those professionals like chefs or incubator-users who, if the project is expecting to reach that audience, then they are also going to be measured for knowledge, intention and actual activity.

I think this one was written out particularly well done as it takes a project step by step through the process of establishing their reach. This should have been relatively easy for most projects, as knowing how many people you plan on reaching is sort of 101 for FMPP or any USDA grant!

USDA’s suggestion was to write them out in a mathematical formula writing a beginning number, then the number you want to hit and then calculating the percentage of increase. It may be helpful to do that in 2 columns and consider both the direct and indirect ways that your project will reach people. Certainly if you are doing trainings or workshops you can estimate your attendance, but how about those who just read about your training or workshop and track down the info that way? How about through the media that your project uses to gain attendees? Is it reasonable to think that others will hear about the market or outlet and begin to attend because of it? And never forget the vendors and including them into any project outcome, even if it is a straight up new shopper project; the vendors also can learn about the marketing and use it in their own sales reach if it is shared properly.  And of course, how about the project partners and their reach?

Once you set the number who will gain knowledge (and I think that your project should plan that just about everyone that gets your materials or attends your workshop will gain knowledge) you then think about who will change their behavior because of it. I wonder if I had a group of market managers and a group of vendors in one room and asked them to gauge that if 1,000 people are reached through materials or training, how many they think will actually intend to use it, and then how many will actually use that knowledge to buy, sell aggregate etc what differences we’d see. Because that estimate can vary, based on the perspective and experience of those setting the number.

My feeling would be that the vendors would assume that more people will intend to come but would think that less will actually buy. I say that because they deal with everyone directly and know painfully well how many pass by their table without eye contact or a deep perusal of what is for sale. So they know firsthand how getting people to actually do something is hard. I’d say that managers would be more likely to think more people will be reached but that less would report an intention to come to a market, but that once they are there, that a higher percentage will purchase. My assumption may be entirely wrong and maybe some day I can test it and readjust it. The most important thing is to test your project assumptions by asking everyone for numbers and adjusting them accordingly to their bias and experience and according to your plan.

I also think percentages without numbers can be difficult to be realistic about, so I often suggest that people start on the wrong end: if the project is for increasing shoppers to a single market, how many more shoppers could that market actually handle per week? 100? 200? 1000? Think about the vendors and your space and your Welcome Booth and visualize adding that number every week. Would it overwhelm the market? Do you have enough parking or access to transportation to make it happen? How many added shoppers per hour would that mean to your anchor vendors? Is that worth it?

Remember that the average shopper in most markets spends between 10-30 dollars so using those numbers above, the market would add another $1000 -$30,000 week in sales. Pretty cool huh? Or if you hope to add another market day: Maybe your Saturday market has 45 vendors on average, you might estimate that since your new market is smaller and has less parking, that you hope 25 or so can use this new outlet. In both cases, your initial outreach has to be wider than the final number, as some will not get to your market or have the ability to add market days even when told of the opportunity.

Outcome 2: To increase sales

Couldn’t be simpler as, in most cases,  FMPP projects are still chiefly attempting to increase sales. It may be true that at some later date, sales increases are not the primary indicator of the success of our work, but with the small reach that alternative food outlets currently have with food shoppers, I agree that this should still be a main goal. Even so, this indicator stymied more people (and I would imagine contributed to some not writing a grant at all) and  since it is a common metric for FMM, I’m going to attempt to reason why it is necessary and how we can capture this.

Measuring an increase of sales for a project that is going to do marketing or outreach for a single sales outlet is pretty standard.  The issue is that you need a baseline number (starting point) and that is the thing many markets do not have yet. So how do you find the baseline?

Everyone knows that the majority of markets ask for standard stall fees which are not based on vendors’ sales percentages and because of that, many  markets have never asked for sales data from their vendors*. What USDA, FMM, Wholesome Wave and others are now saying is that we need to know the impact of our work whether you collect this data for the market’s fee rates or not. So, for those who do already collect it, you are ahead of the curve and probably have a lot to teach the rest of us about how to do it well.

So how do the rest of us do it? Well, the simplest way is to ask vendors directly, either every market day, every month or every season. As you can imagine, the longer you wait to ask this, the more difficult it becomes for the vendor to separate the numbers from your market from the other outlets he/she sells at. However, it also is difficult for multi-tasking vendors to stop at the end of the day to count their money and get that number to you. So what works best? My answer is one that some people hate hearing: whatever works best for your community and your management level is what works best- as long as it gives you accurate data  in increments acceptable to those using it.

I’ll talk your ear off about accurate data whenever discussing market evaluation because it is my experience that markets rely too much on anecdotal information and estimates that probably are better described as guesstimates as they have almost no basis in real numbers. I can hear many of you yelling at me through your computer that you are not evaluators but organizers and cannot be expected to gather data. My answer to that is as soon as you create projects that use the resources of partners and promise your community some change in behavior because of these efforts, you are both. Meaning as soon as you decided to run a market.

However, I am in agreement with many market leaders and vendors that too much data is often asked of markets or vendors that is never used or not shared back with those who offered it. And of course, that collecting the data and the costs associated are almost never added to the cost of any project, and usually partners just assume that overworked market communities will just throw that added work in their long list and get it to them toot sweet.

Yeah, don’t get me started on data collection challenges here.

Additionally, sales data is at the top of the sensitive information asked presently and I often ask managers or market partners to tell me how much is in their bank account right now as an example of how asking for information without context or reason is alarming to say the least. That is, if you even know a precise number! So I say first be the change you want to see by sharing market data with vendors regularly: token sales for debit are going up but SNAP is steady? What do you think that means? And then ask them what they think it means.

Asking for it in anonymous sales slips is the  way FMM suggests it is collected, but I assume that there are other good methods to test. And that it helps all of those methods when the raw data is shared with the vendors and it is used to advocate for their needs. It must be said  that to be able to use it in aggregate means it has to be collected in the same way for the same time period, so we do need to hit upon some common methods sooner rather than later. Here are two more possibilities:

And as many of you know, the SEED tool  asks shoppers to estimate their purchases and then calculates overall sales from those numbers.  Many feel this method of getting sales is better, but it does require more surveying of shoppers more often which means added staff and volunteers.

Another way may come as some markets grow their token systems. It might be possible to estimate how many of your shoppers use that system and whether it is representative of the type of overall shopper you have and use the data to estimate sales.

The main point is we have to agree that we need some data and it should be as precise as possible without violating privacy or exposing weaknesses in one business over another- after all, this is a competitive place. And that until you have actual data, how you calculated your starting point for these indicators says a lot about your circle of advisors, your experience and your knowledge of the target population.

Whew; enough for now. I’d love to hear how some of you did calculate both of these outcomes and especially sales, both in systems you had baselines and ones that did not. I expect that some of you will disagree with much of my unscientific approach to measurement but hope you know that I welcome your opinions.

Sustainable Cities and Social Capital

Any reader of this blog has seen a bit about social capital and markets. Many of the issues that we struggle with in the U.S. have to do with the lack of a shared social fabric and healthy living opportunities for all;  markets (and their surrounding food and civic systems) can alleviate some of those. As for their placement, when social capital is properly understood, the host cities would support markets getting long-term space in Main Street corridors or in historic downtowns. Finally, when markets struggle with adding benefit programs or attracting users of their other educational programming, it can be often traced back to the type or quantity of social capital present in their market. This study linked below has descriptions of how this works.

It was clear from presenters and participants alike that it is very difficult to make progress on aspirations and change when the social fabric is thin or doesn’t exist. When we don’t have sufficient trust or relational connection as individuals or organizations (among and across our differences), we become preoccupied with identifying who (other than us) is responsible for our various messes. If you are a municipality, it’s the province or the federal government. If you’re a business owner, it’s all of government. If you’re a citizen, it’s business and government, and so on. We do need greater clarity on responsibility and with it, more effective ways of identifying if we have the resources to deliver what we’ve been asked to shoulder. Without that, frustration will increase as the dreams of the future get bigger.

Source: Sustainable Cities and Social Capital: Common Dilemmas and Hopes | Cardus Blog


This story in NYT today about how the Parisian government is attempting to fix the place where Les Halles once was illustrates this as well.

In a morbid spasm of 1970s urban renewal, the soaring 19th-century, Liberty-style, glass-and-steel food market — once the pulsating heart of the city — gave way to a claustrophobic underground shopping mall and flimsy street-level pavilions….

…Three weeks after the anxious official unveiling — “we had to fix this broken place,” Mayor Anne Hidalgo of Paris said — and five years after construction began, the appraisal of skeptical Parisians, it seems, is like the face the city presents to the world: reserved and critical, but not unwelcoming.


A summit for us: Atlanta 2016

A whirlwind of a week in Atlanta with Wholesome Wave and its “surfers”: markets, market advocates and food system organizers. Held at the Emory Conference Center in Atlanta GA, just down the road a block or two from the CDC offices. WW did a great job with the week: well-organized, great food and drink (thumbs up for the smoothies available each day) and plenty of space for networking and meetings. Atlanta was lovely and the rare off-site food and drink I had was excellent, but I gotta say that the traffic is as unholy of a mess as I have experienced in any US city. Talk about needing a quality of life intervention!

Highlights for the Summit for me included:

The WW Georgia market shopper who turned to good food to beat her cancer; she was charming in telling a very personal story on a panel and brave to share her still-emotional reaction to using SNAP, even while sharing her appreciation for the program.

Organizing for State Nutrition Incentive Policies : all of the presenters had unique input on their state’s strategy: Ecology Center (CA), Experimental Station (IL), Maryland Farmers Market Association and New Mexico Farming Market Association. This group: Martin, Connie, Amy and Denise have a lot to contribute to any discussion of how to move the dial at the state level.  Check out their varied work on their respective websites and if you have a chance to buttonhole any of them at a conference, tell them I told you to do it. And the short answer is to have a creative and flexible strategy that includes how to pay for it and a constant champion in your statehouse.

Clinic-Community Initiatives-Pathways to Sustainability: what I got out of this session was one of those unintended consequences: the analysis that MANNA has done of their program as a handout was one that responded to a question that our new FMC Research and Education Director Alex Canepa had just been asking earlier that day: can we get data that actually indicates positive health changes from medical nutrition therapy  strategies that offset traditional medical costs? See the Examining Health Care Costs Among MANNA Clients and a Comparison Group report…

The Role of Technology in Supporting Nutrition Incentives: For those of us gamely working on technology solutions for markets that support the range of no-tech, low-tech to high-tech markets out there, this was an in-depth and honest conversation. I sincerely appreciated Darcy Freedman from Case Western Reserve University talking about how the tool is half of the puzzle; the TA is the other half.

Measuring the Impact of Vouchers at Farmers Markets: I think the title threw some people off this one as well as the description. This covered the evaluation being done by University of Delaware/CRESP and led by Allison Karpyn on the incentives and vouchers funded by WW. Her powerpoint is available to those who request it (check with them or with WW) and I’d recommend that you get a copy. Allison shared some of the early data and was game to listen to input from the attendees about what they thought about it so far.

Measuring Markets Economic, Ecological, Human and Social Capital: Of course I chose this one. FMC Project Director Sara Padilla led the show, but Jen Cheek also popped up to add some updates on how FMC is embedding this into FMSSG reporting and she managed the lively Q&A as I roamed the room and made some notes for later conversations based on those questions. We had hoped to role play some of the training materials/exercises that will be embedded within FMM in this hour, but the room, the late hour and the lack of actual market leaders attending meant a quick change to describing it only and instead spent time sharing our thoughts on the components of grassroots evaluation, which seemed to be a good choice.  As I shared later with the rest of the FMC team, I think grassroots evaluation work is evolving slowly but surely and our work in this area seems to be helpful to markets and to their partners.

The FMC team also spent some time with the WW evaluation team  (shout out to Katie and Elizabeth for finding the time between their many conference duties), continuing to find ways to streamline and support both portals without duplication. I can tell you we are all committed to that goal….

Lastly, I left feeling that I just saw and heard and met a whole bunch of people who are doing some excellent network level work in their states. It felt like it has only at a few moments in the last 10 years: that there is some sensible support for contextual strategies for increasing access at markets, and some help to use that support to change policies for markets and their direct marketing producers. But, also an awareness that there is danger in markets or networks in diving in the too-deep water before they are ready, before they have a plan for what this extra work is meant to do for their markets and how it will absorb it. Because what we know is to attempt that before examining the culture of the market or the willingness of the market leadership to invest years in this type of intervention is foolhardy*. I’d also point out how that the lack of production-side advocates in attendance to talk about how these strategies were changing regional food production (for the good and for the bad) jarred me slightly and I’ll hope for better participation at future summits.

(*…. for all of those uncertainties here is the process to change them:  market communities becoming true partners in the design of their projects, taking the time to work with their community in this process long before the funding starts, leading or sharing in the data collection process as well as in the analysis of that project and beyond that, being brave about seeking and sharing evidence of all of the market’s impacts. And if that is where your community is at, I can tell you that there are some people ready and willing to do just that, many of whom I just saw in Atlanta.)


Technology session, FMC’s Jen Cheek asking another good question from the floor


WW’s Katie Merritt, chatting with FMC’s Sara Padilla and Alex Canepa pictured. WW’s Elizabeth Atwell  (back of her head showing), Jen Cheek and yours truly also present


Allison Karpyn’s incentive evaluation presentation


FMC’s FMM presentation


FMC’s audience involvement spectrum


One of only 2 off-site meals, this one had with WW’s Gabrielle Langholtz who sang Hamilton the musical songs to the waiter. Not odd behavior if you know her…


The food we ordered off that chalkboard menu; all great.


The dog that came with my airbnb, Sadie, wondering why I am leaving so early on a cold day..