From Testing Cameras in Her Backyard to a Statewide Monitoring Program
The following piece was written by OAS Communications Coordinator Ryan Bower for the Snapshot Wisconsin newsletter. To subscribe to the newsletter, visit this link.
Jen Stenglein, Quantitative Research Scientist at the Wisconsin DNR and one of the longest-serving Snapshot staff members, walks us through the early years of the program and how Snapshot Wisconsin expanded into the massive project that it is today.
If you are a newer Snapshot volunteer, then here is your chance to learn more about the program’s early history. For those who lived much of the history firsthand (especially the early adopters), this article might be a trip down memory lane. Either way, we hope you get something from this recounting of the past and connect more strongly with the program.
A Grant and a Collaboration
Snapshot Wisconsin’s origin stems from a NASA grant that the University of Wisconsin-Madison received in 2013. The grant aimed to lay the groundwork for a citizen science program for monitoring wildlife that would be launched by the Wisconsin Department of Natural Resources (DNR). Soon after, the DNR created Snapshot Wisconsin and started what would become a massive project.
Stenglein got involved while the project was still in the planning phase. “I was finishing my PhD at the time in Madison, WI and heard about the project. Thanks to my connection with the university, I already knew many of the major players involved,” said Stenglein. “Some of the initial project planning happened before I came in, so the project was basically waiting for someone to figure out the logistics.”
What cameras should volunteers use? How should the cameras be set up to capture the best photos? How would they get equipment to volunteers and train them? There were many questions and fewer answers.
2014: Figuring out the Logistics
In 2014, Stenglein began to answer these questions by running tests in her backyard. “I had a whole line of cameras set up in my backyard, each a different model. We also had cameras out behind the DNR building [to test a second location]. There were so many questions we needed to answer,” recalled Stenglein.
At the time, the Snapshot team was comprised of only two people: Stenglein and Christine Anhalt-Depies, the current project coordinator for Snapshot Wisconsin. Stenglein was working on the program full-time, while Anhalt-Depies was devoting half her time to support Snapshot Wisconsin. Piece by piece, they ran tests and figured out what cameras and setup the first volunteers would use.
Stenglein recalled figuring out other logistics too like where the cameras would go. “I remember looking at a map of Wisconsin and making the decision to divide townships into quarters. That would be our grid setup,” said Stenglein. “Those grid blocks were about the right size [roughly nine square miles] for what we wanted and left space for over 6,000 cameras around the state. That sounded like a doable maximum.”
By the end of the year, Stenglein and Anhalt-Depies had finished enough of the equipment testing to put their plan to the test, starting with Wisconsin’s elk herd.
2015: The First True Test
Elk at the time were just being reintroduced in Wisconsin. There was one small, existing elk population (reintroduced from Michigan), but that population hadn’t taken off how people hoped. A second effort was being set up to bring Kentucky elk to Wisconsin, and those elk were coming in just as Snapshot became ready to test out their program.
“We thought it would be a really great opportunity to test Snapshot Wisconsin on a known population. All of the elk were radio-collared, [so we knew how many were being added to the area.] It was a perfect test to see how well our equipment and methods would hold up,” said Stenglein.
But of course, things didn’t go perfectly as planned. One near miss stood out to Stenglein and captured some of the hecticness of getting the program up and running.
“We almost didn’t have the cameras in time,” explained Stenglein. The camera delivery came in late on the same day that we were scheduled to set up the cameras. “We already had folks waiting in the field, and I had to plead with the delivery driver [to prioritize delivering our cameras].” There were some near misses like that, but Stenglein said they worked through them all in the end.
By the end of the year, a few hundred cameras had been deployed across the elk zones, and the program was officially running. Volunteers now ran the cameras, and images were starting to stream in.
2016: Expanding the Program
Once the team felt they were in a solid routine, they started thinking about expanding Snapshot to more of the state. “It was nice to have the elk grid up and running already, because we knew how the logistics would function,” said Stenglein.
The Snapshot team focused on recruiting educators, even seeking out a couple grants to build collaborations with different educator groups. “Educators seemed like a good place to start, because they affect so many people in their daily life,” said Stenglein. “They could help us reach more people faster.”
To start, the team mainly accepted volunteers from only two Wisconsin counties: Sawyer and Iowa Counties. “We heard from lots of people [around the state] who were excitedly awaiting enrollment, but we wanted to roll things out slowly [to work out any new kinks in the process]. For example, we didn’t want to have a bunch of people getting equipment, only to be frustrated by the IT system not working properly yet,” said Stenglein.
Stenglein and the team were enrolling volunteers at a steady pace, but volunteers had to attend an in-person training session before they received their equipment. Since the team was still only three to four people, there were a limited number of trainings offered. That bottleneck kept the expansion to a manageable pace.
The project was going well though. By the end of 2016, Snapshot had expanded to nine counties (adding Iron, Jackson, Manitowoc, Waupaca, Dodge, Racine and Vernon Counties). The IT infrastructure was working properly, supporting the in-flow of data. All of the planning that Stenglein and the team did was starting to pay off.
The team even launched their first first season of photos on Zooniverse, the crowd-sourcing platform. “Zooniverse was just an itty-bitty platform back then,” joked Stenglein, “but it helped us process photos much faster than we could have without it.”
2017: Growth and Rare Species Detections
Just as 2016 saw a growth to nine counties accepting volunteers, 2017 saw a similar growth. By the end of the year, one quarter of the state’s counties, or 18 in total, were accepting volunteers. St. Croix, Oneida, Marinette, Clark, Dane, Grant, Marathon, Rusk and Taylor counties were all added to the list in 2017. Additionally, over 1,000 volunteers had joined the program by this point, and the program was accepting volunteers even faster than before.
Coverage of the state was starting to fill in enough to be useful from a data perspective. For example, the Snapshot program saw its first rare species detection in 2017. It was a moose from Price County. “I remember it was really exciting because we were waiting for a rare species,” said Stenglein. The team quickly saw more rare species detections in rapid succession too, including a marten and whooping crane. “That whooping crane was extra exciting because we could ID the individual [from the colored bands on its legs] and learn more about it,” added Stenglein.
2018: Gearing up for a Statewide Launch
Up until early-2018, the Snapshot team was adding counties to spread out coverage across the state. However, by March 2018, there were 26 counties involved. “At that point, adding counties was getting arbitrary,” said Stenglein. “Most areas of the state had at least one county involved already.” It was time to start accepting volunteers from all 72 counties: a true statewide launch.
Many improvements to the team and infrastructure had smoothed out most of the kinks in the system. The team had grown in size, and that additional capacity helped speed up onboarding of new volunteers. A new version of the cameras was also being used, which took fewer blank photos, and training had moved online to cut down on staff travel times. Everything was giving a green light for launch.
On August 9th, Snapshot Wisconsin officially launched statewide. Stenglein said the statewide launch was when it felt like Snapshot truly hit its stride. “I really felt like that point in time was pivotal for the project.”
Immediately after the statewide launch, the size of the program exploded. The team was able to accept much of the backlog of volunteers that had previously been unable to join the program. In 2018 alone, over 1,200 volunteers and 1,174 new trail cameras were added to the project, almost doubling Snapshot’s size.
2019: More Staff and a Slew of Publications
To compensate for the doubling of the volunteer base, four new Snapshot positions were added to the team, and Anhalt-Depies took over as the project coordinator. The added support was very timely because the program continued to expand as more and more volunteers joined.
Additionally, enough data had come in by this point that the team (especially Stenglein) could start publishing their findings.
The program had already been generating data for the management of certain species, including generating fawn-to-doe ratios for deer and population estimates for each elk herd. However, until 2019, the project hadn’t published any peer-reviewed publications.
In a flurry, five scholarly publications were released in 2019 by the Snapshot Wisconsin team or one of the graduate students working with the program. Five publications in a single year is substantial, but it meant something extra to the Snapshot team.
“It was great to [finally] show the work we’d done on the data side of Snapshot,” said Stenglein. “In some ways, it took longer than we expected, because we thought that we’d have stuff to share right away. However, Snapshot’s value is the accumulation of data and the time series we’ve built up over the years, so it was appropriate that it took some time to get to the first publication.”
2020: An Important Year for Snapshot
2020 was a weird but important year for Snapshot. According to Stenglein, the team didn’t slow down much in 2020. In fact, many important milestones happened this year. The first of which was a huge boom of activity on Zooniverse.
People suddenly had more free time than usual, and many people used that time to classify photos on Zooniverse. Snapshot Wisconsin’s page saw substantially more users (and specifically new users) than normal. No surprise that photos were being classified faster as well. In fact, the team even had to adjust staff responsibilities to make sure there were photos on the platform. What a great problem to have, right?
Another exciting change during 2020 was the release of the Snapshot Wisconsin Data Dashboard, an interactive tool that lets the public play with Snapshot data. Anyone could explore the data of 19 Wisconsin species and see where (and when) each species was detected.
Stenglein said that releasing a product like the Data Dashboard had been the plan from the beginning, but the team didn’t originally know what form it would take. “Open data has been an important goal of the project, especially because of our collaboration with NASA and the University of Wisconsin.” It just took time to figure out what form the product would take and to make sure the data were accurate enough.
Most of our volunteers will know that Snapshot Wisconsin also reached a total of 50 million photos near the end of 2020. That is an impressive amount of data to receive and process. According to Stenglein, this milestone meant that Snapshot was finally a “big project.”
“It meant that we had the data that we wanted, and everything was working. There was a big sense of accomplishment, and for me, it meant that all that planning had paid off,” said Stenglein.
The fact that so many milestones happened in 2020 speaks to the sustained efforts of our volunteer base. Stenglein said, “The volunteers totally rallied and continued to bring the data in. That kept the project going. The fact that volunteers kept checking their cameras and classifying photos was big for us. Thank you.”
Reflecting on the Past
As the end of 2021 inches closer, the team reflected on where they’ve come as a program since Stenglein’s backyard experiments in 2014. They remember the near-miss with the elk cameras and the statewide launch in 2018. They remember the first rare species detection and the release of the first public-facing data visualization product, the Data Dashboard.
It has taken a lot of work to get to this point, both from our staff and our volunteers. The team wants to thanks its volunteers for their contributions over the years, whether you just joined or have been with us since the beginning. Every classification matters, just as all of our volunteers matter to us. Thank you for seven years of excitement and support!
The Snapshot Team’s Favorite Photos from the First 50 Million!
The following piece was written by OAS Communications Coordinator Ryan Bower for the Snapshot Wisconsin newsletter. To subscribe to the newsletter, visit this link.
Snapshot Wisconsin recently reached an important milestone: its 50 millionth photo! We’ve been watching the tally of photos get closer and closer to 50 million for the last few months, and we are thrilled that the moment is finally here.
Snapshot Wisconsin started as a pilot program in only two counties in 2016 but expanded statewide in 2018. Today, we have over 1,800 volunteers, monitoring over 2,100 trail cameras across the state. Furthermore, the Snapshot program receives approximately 45,000 photos per day from all these cameras. Just stop and think about how incredible that is!
As a thank you to everyone who has helped the program out or followed its success (and to celebrate the 50 millionth photo milestone), the Snapshot Wisconsin team selected some of their favorite photos from the first 50 million and used them to build an interactive map of Wisconsin. This tool highlights each photo and tells a short story about the photo itself or the species shown. It serves as a “snapshot” of how the program has grown over the years.
Rare species sightings, unusual animal behaviors, species facts, and even a few multi-species encounters can all be seen in the interactive map. Check it out!
Contributing to Science While At Home
The following piece was written by OAS Communications Coordinator Ryan Bower for the Snapshot Wisconsin newsletter. To subscribe to the newsletter, visit this link.
While the world is practicing social distancing, it can feel like there are limited options to stay connected with friends and family. Inspired by the boost in classifications during the pandemic, the Snapshot team wants to highlight ways that people can have fun together and still contribute to science.
Emily Buege Donovan, Research Scientist at the Wisconsin DNR and member of the Snapshot Wisconsin team, discusses a new opportunity within Snapshot Wisconsin and other ways to make classifying photos a group activity.
Donovan holds two positions within Snapshot, a database manager and spatial analyst. “I do a lot of spatial analysis, mapping and managing our spatial datasets,” said Donovan. “I also manage a lot of the Zooniverse data and regular functions of the Zooniverse site, and I support science products within Snapshot. It is a lot of odds and ends.” But of late, Donovan has been focusing on a new classification project within Snapshot.
Snapshot Wisconsin Bird Edition: Explained
“Snapshot Wisconsin Bird Edition, as we’re calling it, is a collaboration between Snapshot Wisconsin and the Natural Heritage Conservation, specifically the Wisconsin Breeding Bird Atlas II,” said Donovan. The Wisconsin Breeding Bird Atlas II is a multi-year census of the birds that are breeding in Wisconsin. Through documenting current bird breeding patterns and distribution, we can compare them to future numbers and identify areas that could be improved for better bird conservation efforts in Wisconsin.
Donovan explained, “At Snapshot, we classify only a handful of birds to the species-level, especially those of special management interest.” Whooping cranes, sandhill cranes and a few upland birds like turkey, grouse and pheasant are the only birds that are classified to the species level. “Everything else, all the other 250-plus species of birds that are found in Wisconsin, get classified as ‘Other bird.’ We have a long history of bird photos that were categorized into the umbrella category of ‘Other bird,’ and the Wisconsin Breeding Bird Atlas II was interested in any examples we had of birds breeding.”
Using catalogued photos that were previously classified as ‘Other bird,’ volunteers can add observations to the Wisconsin Breeding Bird Atlas II through Zooniverse, just like when they are classifying for Snapshot. “The first step,” said Donovan, “is to classify these photos to the species level. The second step is to determine whether there is any evidence of breeding. Examples are birds carrying nesting materials, a pair of birds in suitable habitat or young birds like fledglings.”
Anyone with a bird field guide or the internet can contribute to this new project. There are resources available on the Zooniverse page that describe how the breeding codes work for birds. Donovan encourages anyone with an interest in birds and birding to participate.
“This is actually a really good way to practice birding,” said Donovan. “You can rewatch the sequence as many times as needed to get a good look. The bird isn’t going to fly away. Plus, you can dedicate as much or as little time as you want.”
Join the Community on the Zooniverse Discussion Board!
In addition to the Snapshot Wisconsin Bird Edition, the Snapshot team also encouraged people to give the Snapshot discussion board a try. The discussion board can be found on the Snapshot Zooniverse page under the “Talk” tab.
“You can use it to help identify a tricky photo or ask for a second opinion. It’s also a great way to interact with the researchers and find out more about the project,” said Donovan. The discussion board has a community of frequent classifiers from across the globe who interact with each other using this feature. “With the current events going on, you can’t always get out and interact with people in person, so [the discussion board] is a great way to meet fellow wildlife enthusiasts and interact.”
Zooniverse allows classifiers to share individual photos to the discussion board. Whether sharing a silly animal selfie, an interesting coat pattern, or asking a question about an animal’s behavior, volunteers can share cool photos for others to see. Additionally, photos can be saved into collections. Collections, viewable under the “Collect” tab, are a great way to save your favorite pictures and are an easy way to see what others have saved.
It is also common to tag photos with popular hashtags, such as #Multi_Species and #Interesting_Behavior, which automatically get added to each hashtag’s collection. Others can click on or search for that hashtag to find all of the photos with that specific tag. These hashtag and collection features are available without sharing them to the discussion board, but isn’t it more fun to share cool photos with others who will appreciate them?
One important hashtag of note is #SuperSnap. The #SuperSnap photos are reviewed each month by the Snapshot team, and one is chosen to be featured on our Zooniverse page. If you have a moment today, check out the great photos under the #SuperSnap collection! Or tag the best photos you come across, because one might get featured in a future post.
New Snapshot Activities
The Snapshot team has also been working on a few new ways that people can use Snapshot to stay involved with people they care about. Whether you are a parent looking for an afternoon activity to keep your kids entertained or friends wanting to do something meaningful together online, Snapshot has a few new options you can consider.
Snapshot already has lesson plans for educators on its website, but sometimes you don’t get the luxury of time to plan activities. “Having a niece and nephew myself, I understand you don’t always have the ability to plan ahead,” said Donovan. So, Snapshot developed two quick activities that you can do to spend time with someone you care about and help contribute to wildlife monitoring in Wisconsin.
The first activity is a Snapshot version of Bingo [PDF]. All the planning one needs to do is print out the bingo board and fill the spaces in using our recommendations or ones you come up with yourself. Then, jump on your Zooniverse account and classify photos until you come across a photo that fits a Bingo space and mark that space off. Play can be cooperative, playing with someone you can’t physically meet up with because of health concerns or distance, or play can be competitive between siblings or friends. The game is what you make it, so make it your own version of fun!
The second new activity is Snapshot Yoga [PDF]. In Snapshot Yoga, volunteers spend ten or so minutes classifying photos on Zooniverse, saving their favorites into a special collection. Then, as an away-from-screen activity, volunteers can try mimicking the photos in their collection. Any brave souls are welcome to share with us a photo of themselves trying one of these poses. Bonus points if you can capture a special Snapshot yoga moment with a friend, family member or pet! Donovan added, “I like that you can do these activities competitively or cooperatively. You can even send the photos to each other that you find [while classifying] to share them back and forth.”
“I think these activities are entertaining for people of all ages, not just kids. Especially Wisconsinites, we have an interest and pride in our wildlife. People love looking at photos of animals. But this is different from a lot of other activities because it is interactive and contributes to wildlife research,” said Donovan. Descriptions of both activities can be found on the Snapshot webpage along side our resources for educators.
The next rainy day, the next time you’re craving some cool photos of animals, or the next time you want to do a fun activity with a loved one, consider Snapshot Wisconsin as an option. Just because we are practicing social distancing doesn’t mean we can’t still interact with those we care about and contribute towards something bigger than ourselves.
Amidst the Pandemic, Citizens Create a Boost in Classifications
The following piece was written by OAS Communications Coordinator Ryan Bower for the Snapshot Wisconsin newsletter. To subscribe to the newsletter, visit this link.
We would like to thank everyone who has helped classify Snapshot photos during the pandemic. We are happy to see so many of our volunteers connecting with nature while at home.
We want to share how the pandemic has affected the Snapshot Wisconsin team and offer a look at the surge in classifications. Jennifer Stenglein, Research Scientist at the Wisconsin DNR, shares some encouraging findings about the rise in daily classifications and Zooniverse classifiers during the pandemic.
The Snapshot Team During the Pandemic
“I think Snapshot has been a success story,” said Stenglein. “The effects of COVID-19 haven’t been very detrimental to the team. Change happened, and we adjusted. Some of our workload shifted, but we continued to be Snapshot – just in a slightly different way.”
The Snapshot team is very collaborative. Each week, team members must heavily coordinate with each other to keep photos moving to the next steps and interacting with a volunteer base of over 2,000 people. However, since Wisconsin’s Safer at Home order went into effect in late March, the Snapshot team has been teleworking from home. Stenglein said, “To me, that’s been the biggest change: not having face-time with the team. But the team has transitioned really well to having online meetings.”
There is now a bigger focus on getting photos to Zooniverse for our volunteers to classify. With more people at home, Snapshot photos are being classified at a faster rate than before. This increase in daily classifications is what first alerted the team to the boost.
Investigating the Surge
Stenglein has been a member of the Snapshot team since its beginning in 2013. She leads the scientific program at Snapshot and plays a vital role in turning quantitative data into usable metrics (for example, calculating county fawn-to-doe ratios). Stenglein was the first to offer to investigate the boost in detail, as she was excited to learn more about our volunteers and their behavior.
The first step to investigating this boost was to determine what time frames should be compared. Two time frames were needed: One from before the pandemic and one during the pandemic. “Our Zooniverse volunteers come from all over the world, and the pandemic has affected different places differently. But a lot of our Zooniverse traffic comes from Wisconsin, so we thought selecting a timeframe that was relevant to Wisconsin was a good approach.” Additionally, because Snapshot Wisconsin is a Wisconsin DNR program, a Wisconsin-centric time frame seemed natural.
To narrow down the time frames even more, the team needed to choose a specific date as the delineator between the two time frames. “March 15th correlates to about the time when the Department of Health Services started collecting their stats. It was less than two weeks later that the Safer at Home order went into effect. We felt like this date was a good mix of a time frame important to Wisconsin and a line in the sand. We needed that [break] point between pre-pandemic and mid-pandemic.” At least two months of data was needed to ensure reliability, so the two months prior (pre-pandemic: Jan. 15–March 14, 2020) and the two months after (mid-pandemic: March 15-May 15, 2020) were chosen.
With the time frames set, Stenglein began compiling the data for the analysis. However, before we get to Stenglein’s analysis, it helps to understand the difference between a photo, a trigger and a classification. Those who have classified Snapshot photos before will recall that you were given three photos at a time to classify as a set. Volunteers are asked to classify the set as one whole, meaning they would tag the set as having a red fox if a red fox was present in at least one of the three photos. Each set of photos is called a trigger and gets classified by multiple volunteers before it is retired on Zooniverse to ensure accuracy. Each time a trigger is classified by a volunteer, that is called a classification. Simply said, three photos make a trigger, and a classification is each time a volunteer looks at that trigger before the trigger retires.
The Boost: Analyzed
In total, our volunteers made 460,604 classifications during the pandemic – a huge increase from the 255,208 classifications prior to the pandemic. While each classification doesn’t perfectly translate to the number of triggers retired, this boost is a huge increase in Snapshot’s turnover rate for triggers. Additionally, a total of 1,168 unique classifiers logged in during the pandemic, almost double the number from pre-pandemic.
Classifiers were also, on average, classifying 11.6% more triggers each time they logged on. Once we saw that people were classifying for longer, we wondered what other behavioral shifts have occurred since the pandemic started. One big shift is seen in our established classifiers, or volunteers who were already active on Zooniverse before the pandemic. Stenglein saw that established classifiers were logging in and classifying on significantly more days than before, and they were classifying more triggers each time. However, Stenglein noticed that there were fewer sessions per day. A session is similar to a sitting in that one volunteer could classify triggers over multiple sittings in a single day. Altogether, our established classifiers were classifying more triggers, on more days, but fewer times per day than pre-pandemic.
The most classifications in a single day occured on March 29, less than a week after the Safer at Home order went into effect in Wisconsin. A total of 17,155 triggers were classified on that single day.

Graphic created by Ryan Bower.
On intuition, Stenglein had an idea to check if there was a difference among the days of the week. Do volunteers classify differently on the weekends than on weekdays? “The weekend/weekday idea was something that I thought of because it was coming up on the weekend. I was thinking, ‘Man, these days all feel the same.’ I got intrigued by this question and wanted to know,” said Stenglein. “But I didn’t even know what the baseline was.”
Stenglein continued, “I was very interested to find out that [normally, pre-pandemic] weekends have much fewer classifications compared to weekdays. I could have hypothesized the opposite and convinced myself.” In fact, the total number of triggers classified rose for both weekends and weekdays, although unequally. We saw an increase of 34% during weekdays (1,507 more triggers classified each weekday) and 86.7% during weekends (2,452 more triggers classified each day of the weekend).
“I was really fascinated that both weekdays and weekend classifications went up [during the pandemic], but when you compare them now, there no longer is a distinction between them. I think that was my favorite finding,” said Stenglein. “With fewer options of things to do on the weekend, perhaps [volunteers] are willing to sit down and spend more time on Zooniverse.”
Stenglein also compared the mid-pandemic period (March 15–May 15, 2020) to a similar time frame from the year prior (March 15–May 15, 2019). Stenglein said, “It helped me to really believe in this boost idea when I looked at the same time period from the previous year and found almost identical results. There is really something unique about this [mid-pandemic] time period.”
Continued Support
Stenglein said, “There is value in communicating this data back to volunteers who are working extra hard right now by classifying photos. You are increasing our capacity to turn over photos and helping us get through our backlog.” In fact, classifiers helped process over 10% of Snapshot’s backlog since the pandemic started.
The Snapshot staff were excited to see this rise in classifications because a quicker turnaround time for photos means more up-to-date data for wildlife management decisions. Continuing to reduce the backlog of photos is an important way that the public (and Snapshot volunteers specifically) can contribute to the project and wildlife monitoring.
“Back in January, we had a meeting about how to deal with unclassified photos. We came up with all these great new ideas, but a pandemic was not among them. The pandemic is never good news, but it provided an opportunity to get through so many unclassified photos in a way that wouldn’t have been possible,” said Stenglein.
But in order to provide key measures to decision makers about animal distribution and abundance, Snapshot needs continued support from the public to keep classifying photos and monitoring wildlife in Wisconsin. Stenglein said, “Snapshot is a volunteer program. There is no Snapshot without its volunteers, and they are what makes Snapshot successful. Citizen science [projects] are a wonderful thing to participate in, and it’s a way to work with others towards research, science and wildlife decision support. People care about helping monitor wildlife and helping the DNR understand the wildlife in their own backyards.”
Stenglein and the Snapshot team want to thank the thousands of volunteers who have helped classify photos during the pandemic. “We are super grateful for the increased traffic and time that people have been putting into Zooniverse.”
Stenglein added, “On a personal note, I’ve been classifying photos with my son, which has been really fun. I’m glad that Snapshot provides an opportunity to see wildlife [while we are stuck indoors].” The Snapshot team encourages classifying photos together with loved ones. Check out the next article in this newsletter to see more ways to stay connected with nature!