1 00:00:00,080 --> 00:00:05,600 Ping Yu: (music) Hello, everyone. 2 00:00:05,660 --> 00:00:12,440 Ping Yu: Welcome to the Blooms and Beyond podcast, a podcast that uncovers plant history, culture, and management through the lens of science. 3 00:00:12,980 --> 00:00:13,760 Ping Yu: I'm your host, Ping. 4 00:00:13,860 --> 00:00:15,100 Ping Yu: How's everyone doing today? 5 00:00:15,680 --> 00:00:25,680 Ping Yu: I am doing great, great because here I have my dear colleague and friend Dr. Alexa Lamm from University of Georgia here 6 00:00:25,720 --> 00:00:35,800 Ping Yu: with me today on this show to talk about the very interesting and exciting topic on scientific communication, which I am a big fan of that. 7 00:00:36,240 --> 00:00:43,840 Ping Yu: She is definitely one of the rock stars in this field, and you're gonna have a glimpse of that too. 8 00:00:44,380 --> 00:00:52,480 Ping Yu: And I know she has tons of interesting story and knowledge and experience to share, so I don't want to steal any more thunder from our speaker today. 9 00:00:52,560 --> 00:00:54,060 Ping Yu: Let's just jump right into it. 10 00:00:54,420 --> 00:00:58,660 Ping Yu: Without further ado, here is my conversation with Dr. Alexa Lamm. 11 00:00:58,880 --> 00:00:59,760 Ping Yu: I hope you enjoy. 12 00:00:59,880 --> 00:01:06,480 Ping Yu: (music) So hi, Alexa, welcome to the podcast. 13 00:01:06,560 --> 00:01:08,820 Ping Yu: But first, let's start off with the introduction. 14 00:01:08,920 --> 00:01:11,960 Ping Yu: Can you tell our audience a little bit about who you are and what you do? 15 00:01:13,980 --> 00:01:16,420 Alexa Lamm: Thank you so much for having me here today. 16 00:01:16,580 --> 00:01:22,160 Alexa Lamm: I really appreciate being invited and getting to be a part of this awesome podcast that you've started. 17 00:01:22,320 --> 00:01:23,900 Alexa Lamm: I love listening to it myself. 18 00:01:24,520 --> 00:01:26,500 Alexa Lamm: And a little about myself. 19 00:01:26,860 --> 00:01:30,980 Alexa Lamm: I am a professor of science communication at the University of Georgia. 20 00:01:31,780 --> 00:01:38,900 Alexa Lamm: I get to study how people communicate about critical issues facing the agricultural industry. 21 00:01:39,280 --> 00:01:43,060 Alexa Lamm: And so a lot of that is in partnership with scientists like yourself. 22 00:01:43,180 --> 00:01:52,300 Alexa Lamm: And so it's wonderful to get to come here and talk about that 'cause there are many ways in which we can effectively and not so effectively communicate 23 00:01:52,400 --> 00:01:58,700 Alexa Lamm: about scientific advancements and some of the things that might hinder our ability to use science out in the field. 24 00:01:59,580 --> 00:02:07,960 Ping Yu: Yeah, 'cause I still remember the first time I met Alexa during a meeting with the multi-state group. 25 00:02:08,080 --> 00:02:11,980 Ping Yu: We're all kind of working in irrigation. 26 00:02:12,360 --> 00:02:20,700 Ping Yu: But I was like, when you started to introduce of what you do, I'm like, "Oh my gosh, that's very fascinating." 27 00:02:20,760 --> 00:02:31,380 Ping Yu: Because a lot of times, especially me with- as a extension specialist, I always try to find a way to, you know, help, well, improve the communication efficiency. 28 00:02:31,500 --> 00:02:33,940 Ping Yu: And I was like, "That would be great." 29 00:02:33,980 --> 00:02:38,880 Ping Yu: And I know you had a workshop with the growers and it just like, I want to be part of that. 30 00:02:39,340 --> 00:02:43,980 Ping Yu: Anyhow, but did you grow up with the exposure to agriculture? 31 00:02:44,120 --> 00:02:46,860 Ping Yu: Did you see yourself as a nature kid growing up? 32 00:02:46,900 --> 00:02:50,580 Ping Yu: And how did you become interested in science communication? 33 00:02:51,140 --> 00:02:53,220 Ping Yu: Did you know that's a thing when you grew up? 34 00:02:53,300 --> 00:02:55,920 Ping Yu: Can you share just a little bit about your career journey? 35 00:02:56,680 --> 00:02:57,480 Alexa Lamm: Yeah, of course. 36 00:02:57,540 --> 00:03:00,800 Alexa Lamm: No, I was your typical animal science kid. 37 00:03:01,200 --> 00:03:08,820 Alexa Lamm: I did 4-H when I was young, showed livestock and horses and wanted to be a veterinarian. 38 00:03:09,380 --> 00:03:16,220 Alexa Lamm: So you know, I went off to college and got an animal science degree with every expectation that I would go to vet school. 39 00:03:16,260 --> 00:03:23,160 Alexa Lamm: But I realized that I liked working with healthy animals and kids and producers a lot more than sick ones. 40 00:03:23,200 --> 00:03:31,240 Alexa Lamm: And so I ended up getting a master's in extension education and was an extension agent for almost ten years working in the agricultural field in Colorado. 41 00:03:31,780 --> 00:03:34,380 Alexa Lamm: So I really have Extension at my heart. 42 00:03:34,580 --> 00:03:41,380 Alexa Lamm: It's been a part of my career, 'cause after that, I went and got my PhD at the University of Florida, and I was actually there. 43 00:03:41,440 --> 00:03:44,200 Alexa Lamm: Don't hold it against me, all you UGA Dawg fans. 44 00:03:44,700 --> 00:03:48,980 Alexa Lamm: I was there for about ten years before coming to UGA eight years ago. 45 00:03:49,400 --> 00:03:54,820 Alexa Lamm: And it's interesting because I always have had Extension at the heart of all of my work. 46 00:03:55,240 --> 00:04:01,500 Alexa Lamm: But now I can see that really, truly, Extension and science communication, they're not distinctly different. 47 00:04:01,540 --> 00:04:08,560 Alexa Lamm: I mean, Extension is the original science communication, where we take information from the land grant university out to those who need it the most. 48 00:04:08,880 --> 00:04:16,380 Alexa Lamm: I think it's just become a little more complex as the public has become more engaged in guiding legislation around scientific advancement, right? 49 00:04:16,480 --> 00:04:19,140 Alexa Lamm: The funding of science, whether they want to use it or not. 50 00:04:19,360 --> 00:04:26,600 Alexa Lamm: They question it based on pseudoscience and miscommunication and all this kind of crazy stuff that's out there on the internet they can access all the time. 51 00:04:27,080 --> 00:04:34,180 Alexa Lamm: But they can vote for legislation that blocks our ability to, you know, utilize science or to fund science. 52 00:04:34,220 --> 00:04:43,400 Alexa Lamm: And then also we have this whole policy dynamic and regulation around the use of scientific advancement especially in the horticulture industry, right? 53 00:04:43,480 --> 00:04:51,420 Alexa Lamm: As we think about some of the practices we try to encourage as extensionists, and it's like, I don't know how many producers say, "Yeah, I would love to use 54 00:04:51,480 --> 00:04:54,020 Alexa Lamm: that, but there are regulations blocking me." 55 00:04:54,080 --> 00:05:04,540 Alexa Lamm: And so we need effective science communication between scientists and those decision-makers making those choices too, so that all of that's informed by actual scientific 56 00:05:04,600 --> 00:05:08,140 Alexa Lamm: information and not what people think might be the truth. 57 00:05:08,800 --> 00:05:13,960 Ping Yu: Well, yeah, there's a lot of fake, well, I would say pseudo or fake information out there. 58 00:05:14,020 --> 00:05:24,540 Ping Yu: Especially I think the scientific communication, the topic that we're talking about now today is especially important at this AI era, 59 00:05:24,720 --> 00:05:35,060 Ping Yu: where you basically think that you can get all this information with just a click, but you don't know, like, how much of that is science-based 60 00:05:35,180 --> 00:05:45,220 Ping Yu: information and you cannot truly trust what you find with the one click, and you have to fact check with 61 00:05:45,280 --> 00:05:50,420 Ping Yu: basically everything so that you're not making mistakes in a lot of things that you do. 62 00:05:50,900 --> 00:05:59,860 Ping Yu: So what motivated you to pursue the PhD in agriculture, education and communication and focus on communication evaluation? 63 00:05:59,920 --> 00:06:09,820 Ping Yu: Because, well, I am a extension specialist, but I know how important communication is in terms of deliver the information to our stakeholders. 64 00:06:10,260 --> 00:06:16,180 Ping Yu: But one of the trick thing for us sometimes is how do we do the evaluation? 65 00:06:16,280 --> 00:06:19,700 Ping Yu: How can we know if I'm a effective communicator myself? 66 00:06:20,740 --> 00:06:22,100 Alexa Lamm: Yeah, no, that's a great question. 67 00:06:22,180 --> 00:06:27,500 Alexa Lamm: And I mean, I mentioned that I was an extension agent for ten years, right, in Colorado, just south of Denver. 68 00:06:28,000 --> 00:06:35,400 Alexa Lamm: And it frustrated me for years that we would always talk about Extension is the best-kept secret, right? 69 00:06:35,460 --> 00:06:36,360 Alexa Lamm: We still say that. 70 00:06:36,720 --> 00:06:38,600 Alexa Lamm: It's like we do all these amazing things. 71 00:06:38,640 --> 00:06:43,520 Alexa Lamm: We put on all these fabulous programs and webinars, and we've expanded in this digital age. 72 00:06:43,820 --> 00:06:47,860 Alexa Lamm: We're even creating AI-based chatbots that we can interface with. 73 00:06:48,160 --> 00:06:54,820 Alexa Lamm: I mean, we're- we do so much as Extension, and yet we find the same people utilizing our services over and over. 74 00:06:54,880 --> 00:06:59,080 Alexa Lamm: How do we reach the broader producer base that could utilize what we do? 75 00:06:59,380 --> 00:07:00,440 Alexa Lamm: How do we reach the public? 76 00:07:00,500 --> 00:07:03,360 Alexa Lamm: How do we get, you know, all this information out there? 77 00:07:03,940 --> 00:07:07,740 Alexa Lamm: And a lot of that is because we were unable to showcase our impact. 78 00:07:07,780 --> 00:07:10,360 Alexa Lamm: And like you just mentioned, we still struggle with that. 79 00:07:10,400 --> 00:07:20,380 Alexa Lamm: And so I had a real passion for trying to figure out how we most effectively evaluate our programs, but evaluate them in the way that the public cares about 80 00:07:20,420 --> 00:07:29,060 Alexa Lamm: and that decision makers care about, so that they will continue to fund and support Extension, which to me is essential in the science communication space. 81 00:07:29,280 --> 00:07:34,960 Alexa Lamm: And so, you know, it keeps coming into question, is Extension really something of public value? 82 00:07:35,020 --> 00:07:37,220 Alexa Lamm: Should tax dollars be supporting this, right? 83 00:07:37,320 --> 00:07:38,400 Alexa Lamm: State and federal dollars. 84 00:07:38,860 --> 00:07:41,860 Alexa Lamm: Well, if we can't show our impact, it's really hard to make that argument. 85 00:07:42,320 --> 00:07:45,120 Alexa Lamm: And so that's why I pursued a PhD in that area. 86 00:07:45,520 --> 00:07:55,240 Alexa Lamm: And then I did serve as an evaluation specialist in Florida for about eight years in that capacity and then came here to Georgia originally as the 87 00:07:55,280 --> 00:07:56,580 Alexa Lamm: evaluation specialist. 88 00:07:57,180 --> 00:07:57,480 Ping Yu: Yeah. 89 00:08:00,620 --> 00:08:02,900 Ping Yu: (music) And you kind of mentioned about the impact. 90 00:08:03,080 --> 00:08:08,180 Ping Yu: That's one of the big questions that every Extension people (laughs) kind of face or have to do. 91 00:08:08,620 --> 00:08:18,840 Ping Yu: But from your perspective and experience, what are some of those impacts or evaluation critiques that are different from, 92 00:08:19,000 --> 00:08:29,420 Ping Yu: you know, for instance, to deliver the right message that the politics makers or the general public care more than the educator like us 93 00:08:29,520 --> 00:08:30,880 Ping Yu: care more about it? 94 00:08:31,100 --> 00:08:35,080 Ping Yu: Can you kind of tell us a little bit about from that angle? 95 00:08:35,560 --> 00:08:35,900 Alexa Lamm: Yeah. 96 00:08:35,960 --> 00:08:41,080 Alexa Lamm: So I think oftentimes when we do extension programming, it's very producer forward, right? 97 00:08:41,180 --> 00:08:48,040 Alexa Lamm: We're trying to help producers understand the new science and how it can be used in their facilities or their farms or their production units. 98 00:08:48,540 --> 00:08:51,480 Alexa Lamm: And a lot of producers, I mean, that's their livelihood, right? 99 00:08:51,520 --> 00:08:52,260 Alexa Lamm: That's their business. 100 00:08:52,320 --> 00:08:54,680 Alexa Lamm: And so we focus on economic profitability. 101 00:08:54,740 --> 00:08:59,360 Alexa Lamm: Like, you should adopt this because it will save you money or make you more money, right? 102 00:08:59,440 --> 00:09:01,220 Alexa Lamm: Because that's what incentivizes people. 103 00:09:01,540 --> 00:09:09,820 Alexa Lamm: They have kids they want to send to college too, and that is a viable reason for them to want to know if I change everything I'm doing and 104 00:09:09,860 --> 00:09:13,060 Alexa Lamm: adopt this new practice, it will result in something positive for me. 105 00:09:14,080 --> 00:09:21,740 Alexa Lamm: I think because of that, then we talk about impact of our programs as, well, these producers are making this much more money or they're saving this much money. 106 00:09:22,320 --> 00:09:27,060 Alexa Lamm: But the general public and the policy makers, they don't really connect with that, right? 107 00:09:27,120 --> 00:09:28,400 Alexa Lamm: It's like, okay, so what? 108 00:09:28,560 --> 00:09:31,880 Alexa Lamm: So all of my tax dollars are going to help a farmer make more money? 109 00:09:31,960 --> 00:09:33,840 Alexa Lamm: Like, that doesn't sit with me. 110 00:09:34,240 --> 00:09:44,820 Alexa Lamm: Where if we can talk about environmental sustainability, how much water is saved that can then be used for other sources or other resources that maybe recreational facilities 111 00:09:44,880 --> 00:09:55,480 Alexa Lamm: that they utilize will be viable and open because water use has been reduced because of like the irrigation practices that you develop that help conserve water on farm 112 00:09:55,540 --> 00:09:57,500 Alexa Lamm: and then save water for other things. 113 00:09:58,020 --> 00:10:06,800 Alexa Lamm: We have to tell stories that the public cares about or the decision-maker cares about, and honestly, the decision-maker typically cares about whatever their constituents care about, right? 114 00:10:06,880 --> 00:10:08,900 Alexa Lamm: Because they're representing them, and they should. 115 00:10:09,500 --> 00:10:16,120 Alexa Lamm: And so we really need to get in the minds of the, like it's not always the user of science that benefits. 116 00:10:16,180 --> 00:10:18,460 Alexa Lamm: We have to talk about what are those benefits beyond that. 117 00:10:19,320 --> 00:10:27,480 Alexa Lamm: And so I think it's important for producers to gain knowledge and to have an intent to engage in a certain behavior. 118 00:10:27,500 --> 00:10:31,180 Alexa Lamm: And we can measure those things with evaluation tools at extension programs. 119 00:10:31,600 --> 00:10:40,300 Alexa Lamm: But I also think it's important for us, collectively us, the scientific community along with the ag community, to really think about, like, well, how is this bettering society? 120 00:10:40,400 --> 00:10:48,000 Alexa Lamm: How does this make sure that produce is on the shelves when a mom is going to buy her groceries, right? 121 00:10:48,180 --> 00:10:55,920 Alexa Lamm: How is this ensuring that those groceries are not so expensive that she can't, like, balance that meal for her family? 122 00:10:56,380 --> 00:10:58,260 Alexa Lamm: Those are the things that she cares about. 123 00:10:58,620 --> 00:11:06,100 Alexa Lamm: And so I think we need to think beyond, like, okay, we do have a target for scientific adoption, but then who benefits from this? 124 00:11:06,160 --> 00:11:09,160 Alexa Lamm: And we need to tell those stories of impact. 125 00:11:09,460 --> 00:11:12,180 Alexa Lamm: And that is when people will really care. 126 00:11:13,100 --> 00:11:13,360 Ping Yu: Yeah. 127 00:11:13,400 --> 00:11:19,260 Ping Yu: 'Cause I think that's a great tip for me, for a lot of folks like me. 128 00:11:19,780 --> 00:11:27,400 Ping Yu: Basically what we need to do is we need to think beyond the stakeholders we are serving now. 129 00:11:27,820 --> 00:11:29,820 Ping Yu: They are part of our society. 130 00:11:30,260 --> 00:11:35,340 Ping Yu: What they are doing is a big puzzle piece in this whole society. 131 00:11:35,480 --> 00:11:41,420 Ping Yu: So what we are doing kind of benefit them, but also benefit the whole society. 132 00:11:42,120 --> 00:11:43,600 Alexa Lamm: We can all win, right? 133 00:11:43,740 --> 00:11:53,220 Alexa Lamm: It can be a win-win-win, and I haven't talked to a single producer that doesn't care about the environment, that doesn't care about where their product ends up and 134 00:11:53,260 --> 00:11:54,660 Alexa Lamm: that it benefits someone, right? 135 00:11:54,740 --> 00:11:59,040 Alexa Lamm: It's like they go into farming and production agriculture because they care. 136 00:11:59,640 --> 00:12:06,420 Alexa Lamm: But I think, like you said, we kind of stop at our first stakeholder, and we don't necessarily think about that long term. 137 00:12:06,720 --> 00:12:10,760 Alexa Lamm: But I promise you, when you sit down and you talk to those producers, they care. 138 00:12:10,760 --> 00:12:21,440 Ping Yu: (music) So let's circle back a little bit for folks that, whom may not be so familiar with science communication. 139 00:12:21,860 --> 00:12:29,540 Ping Yu: How do you define that, and especially within the context of agriculture and environmental science that we're all in right now? 140 00:12:30,740 --> 00:12:31,120 Alexa Lamm: Yeah, no. 141 00:12:31,260 --> 00:12:34,620 Alexa Lamm: Science communication seems like pretty easily defined, right? 142 00:12:34,700 --> 00:12:37,580 Alexa Lamm: It's like transferring information from one person to another, right? 143 00:12:37,660 --> 00:12:42,280 Alexa Lamm: There's a, somebody who's delivering the message, and there's somebody who's receiving the message. 144 00:12:42,360 --> 00:12:46,920 Alexa Lamm: That's kind of how communication has originally been defined. 145 00:12:47,320 --> 00:12:55,120 Alexa Lamm: However, we've kind of moved beyond that to more deeply think about the, a two-way dialogue, right? 146 00:12:55,200 --> 00:13:02,940 Alexa Lamm: It's like it's one thing for the scientific community to stand in front of a group of producers and share scientific findings and say, "You need to utilize these and 147 00:13:03,000 --> 00:13:04,240 Alexa Lamm: adopt these, and this is how." 148 00:13:04,780 --> 00:13:15,340 Alexa Lamm: It's a whole 'nother for them then to listen to producers who say, "Well, that's great, but I have this system already in place in my greenhouse, and 149 00:13:15,420 --> 00:13:21,580 Alexa Lamm: adopting that practice is not gonna work with the drip irrigation that's already existing for XYZ. 150 00:13:21,680 --> 00:13:23,640 Alexa Lamm: Can we make a few tweaks here? 151 00:13:24,200 --> 00:13:33,840 Alexa Lamm: And maybe because it's not, it might not be quite as efficient in saving water, but I'm gonna be able to use it without replacing everything in my irrigation system." 152 00:13:34,140 --> 00:13:36,620 Alexa Lamm: Then the scientist can say, "Yeah, we can make a few tweaks. 153 00:13:36,660 --> 00:13:39,920 Alexa Lamm: Let's try ABC instead of XYZ." 154 00:13:40,160 --> 00:13:46,980 Alexa Lamm: And then it, so it becomes a two-way dialogue, right, between the end user and the scientist and the s- or the scientific team. 155 00:13:47,600 --> 00:13:57,960 Alexa Lamm: And so then science communication is really evolving more collectively than in that one way traditional sense of we are the deliverers of science 156 00:13:58,040 --> 00:13:59,740 Alexa Lamm: to the end user. 157 00:13:59,800 --> 00:14:02,700 Alexa Lamm: You should love it because of here's all the reasons why. 158 00:14:03,220 --> 00:14:05,980 Alexa Lamm: And so it becomes more of this kind of interface, right? 159 00:14:06,240 --> 00:14:07,800 Alexa Lamm: It's the same thing with regulation. 160 00:14:07,900 --> 00:14:12,560 Alexa Lamm: We can come up with science all day long, but if the producer says, "Well, I think that's great. 161 00:14:13,020 --> 00:14:16,000 Alexa Lamm: I would love to grow in this container. 162 00:14:16,579 --> 00:14:20,780 Alexa Lamm: However, Walmart will not accept that," right? 163 00:14:20,860 --> 00:14:29,800 Alexa Lamm: "My wholesaler won't take it because Walmart won't accept that pot because it deteriorates too quickly on their shelves, and so I can't grow in that, even though you tell 164 00:14:29,860 --> 00:14:32,880 Alexa Lamm: me it's the most efficient, effective growing mechanism." 165 00:14:33,880 --> 00:14:37,880 Alexa Lamm: Or maybe their machinery doesn't handle that pot well, and it deteriorates, right? 166 00:14:38,240 --> 00:14:43,500 Alexa Lamm: So they can kind of tell us back and forth that like, yeah, like pie in the sky idea's great. 167 00:14:43,760 --> 00:14:44,980 Alexa Lamm: Here's reality, right? 168 00:14:45,040 --> 00:14:48,900 Alexa Lamm: Let's ground it somewhere in between and find a scientific advancement that helps us all. 169 00:14:49,380 --> 00:14:59,340 Alexa Lamm: And so we really need to take the time to share our science but also listen to the end user and take that in and adapt our science effectively 170 00:14:59,400 --> 00:15:03,480 Alexa Lamm: to help them the most, and that should be a continuous reciprocal relationship. 171 00:15:03,920 --> 00:15:05,700 Alexa Lamm: That's true science communication. 172 00:15:06,180 --> 00:15:16,360 Alexa Lamm: And the other thing we have found when you really open yourself as the scientist, opens yourself, is that indigenous knowledge that the farmer has that's been passed 173 00:15:16,420 --> 00:15:23,820 Alexa Lamm: down from generation to generation, there is usually a scientific explanation for why it works. 174 00:15:24,280 --> 00:15:27,560 Alexa Lamm: They can't tell you that, but they know it works, right? 175 00:15:28,120 --> 00:15:37,700 Alexa Lamm: And so we can also learn a lot as a scientific community by listening to what that knowledge, that passed down knowledge is from the community that we're serving, and 176 00:15:37,760 --> 00:15:41,080 Alexa Lamm: kind of adapt and utilize it in our science to make everything better. 177 00:15:41,460 --> 00:15:46,940 Alexa Lamm: So yeah, like, that's a really neat way of thinking about science communication too. 178 00:15:47,000 --> 00:15:52,400 Alexa Lamm: It's not always, right, like the ivory tower, we know best, here do good things. 179 00:15:52,760 --> 00:15:59,940 Alexa Lamm: Like it's, it is about that kind of like continual conversation about what works, and maybe they don't know why, but it does. 180 00:16:01,000 --> 00:16:10,960 Ping Yu: Yeah, and also that's just give you- you just listed a perfect example for us to kick in and that will benefit the, what involved science itself, because 181 00:16:11,020 --> 00:16:21,180 Ping Yu: while the growers might have all those generations of wisdom of how this works for them, they may not know the science behind it, and that's a opportunity for 182 00:16:21,280 --> 00:16:27,620 Ping Yu: you to, you know, to dive into it and say, "Oh, why, this is why it works." 183 00:16:27,660 --> 00:16:37,800 Ping Yu: And you may develop a strategy that will, more people can adapt it with your, with the science that you have, well, with the science solution that you have 184 00:16:37,840 --> 00:16:40,120 Ping Yu: developed from whatever they are working. 185 00:16:40,920 --> 00:16:49,160 Alexa Lamm: Exactly, 'cause maybe it's been working on this one farm because they've had this knowledge over time, but you can then help a whole bunch of other farmers based on 186 00:16:49,220 --> 00:16:51,360 Alexa Lamm: that, you know, transferring that information. 187 00:16:51,420 --> 00:16:57,520 Alexa Lamm: So yes, there's a lot of opportunities when we engage in more effective, like two-way dialogue. 188 00:16:58,320 --> 00:16:58,560 Ping Yu: Yeah. 189 00:16:58,800 --> 00:17:06,480 Ping Yu: I always find myself learning a lot from the growers that I serve, and I (Alexa Lamm: Too) was like, oh my gosh, they are, they are just so 190 00:17:06,520 --> 00:17:09,180 Ping Yu: knowledgeable on certain things that I was like, "What?" 191 00:17:10,000 --> 00:17:11,420 Alexa Lamm: Yeah, absolutely. 192 00:17:11,420 --> 00:17:18,460 Ping Yu: (music) So we talk about some of the effective science communication. 193 00:17:18,540 --> 00:17:28,860 Ping Yu: What are some core principles of effective science communication, particularly if we're talking about topics or complex topics to, 194 00:17:29,100 --> 00:17:30,380 Ping Yu: let's say, lay audience? 195 00:17:31,020 --> 00:17:32,120 Alexa Lamm: Yeah, that's a great question. 196 00:17:32,180 --> 00:17:36,920 Alexa Lamm: There are really four foundational pieces to effective sci- in my mind and from my research. 197 00:17:37,140 --> 00:17:39,960 Alexa Lamm: One, first you have to know who your audience is. 198 00:17:40,420 --> 00:17:42,280 Alexa Lamm: Like, is it the producer? 199 00:17:42,480 --> 00:17:43,980 Alexa Lamm: Is it a certain segment? 200 00:17:44,300 --> 00:17:46,100 Alexa Lamm: We talk about the public all the time, right? 201 00:17:46,180 --> 00:17:56,280 Alexa Lamm: But the public is made up of so many different people, and what they care about is, you know, the 20-something-year-old that just graduated from college and is just trying 202 00:17:56,300 --> 00:18:04,940 Alexa Lamm: to make it in their first job and save up to buy their first home cares about a lot different things than I do as a middle-aged woman with a 203 00:18:05,020 --> 00:18:05,900 Alexa Lamm: family, right? 204 00:18:05,980 --> 00:18:09,500 Alexa Lamm: Versus someone who is nearing, you know, retiring and... 205 00:18:10,020 --> 00:18:15,040 Alexa Lamm: So different people are looking for different things, and that is even within our farming communities, right? 206 00:18:15,080 --> 00:18:22,360 Alexa Lamm: Like the young producer is looking for different things than somebody who's been doing it for 60 years, right? 207 00:18:22,520 --> 00:18:24,440 Alexa Lamm: And they need different resources and different things. 208 00:18:24,500 --> 00:18:31,540 Alexa Lamm: So the very first thing in effective science communication is getting, like identifying who your audience is and then getting to know them. 209 00:18:31,980 --> 00:18:39,580 Alexa Lamm: Listening to them, getting to know what they care about, finding out where they go for information, who they rely on, right, and who they trust. 210 00:18:39,620 --> 00:18:46,380 Alexa Lamm: Because next is you gotta know what they care about so that the message you're sharing resonates with them, right? 211 00:18:46,820 --> 00:18:48,660 Alexa Lamm: Is it, are they driven by economics? 212 00:18:48,780 --> 00:18:50,840 Alexa Lamm: Are they driven by environmental sustainability? 213 00:18:50,900 --> 00:18:51,880 Alexa Lamm: Like, what is it? 214 00:18:52,040 --> 00:18:57,840 Alexa Lamm: Are they looking to decrease water use or enhance their recycling efforts on farm? 215 00:18:57,900 --> 00:19:06,020 Alexa Lamm: Like, what is it that's driving them, and how can I then create a message or a webinar or whatever that's gonna resonate with that, right? 216 00:19:06,060 --> 00:19:07,860 Alexa Lamm: And how do I bring the right people to the table? 217 00:19:08,520 --> 00:19:12,500 Alexa Lamm: Because the source is also really important, okay? 218 00:19:12,620 --> 00:19:18,440 Alexa Lamm: 'Cause we think as scientists that we're the best deliverers of scientific information, especially if it's coming out of our labs. 219 00:19:18,880 --> 00:19:26,660 Alexa Lamm: But honestly, we trust, different audiences trust different sources of information, and they rely on them differently. 220 00:19:26,720 --> 00:19:33,660 Alexa Lamm: So I talk to producers all over the US, and a lot of the time they will tell me that they trust their local extension specialist. 221 00:19:33,720 --> 00:19:38,360 Alexa Lamm: So like here in Georgia, I am sure you are their go-to person, right? 222 00:19:38,880 --> 00:19:41,240 Alexa Lamm: But not necessarily in Florida, right? 223 00:19:41,360 --> 00:19:45,160 Alexa Lamm: They're not gonna call you, especially if you're wearing red and black, right? 224 00:19:45,240 --> 00:19:46,380 Alexa Lamm: They're going for orange and blue. 225 00:19:46,380 --> 00:19:51,380 Alexa Lamm: (Ping Yu laughs) They're calling the University of Florida, IFAS, their local extension agent, right? 226 00:19:51,420 --> 00:19:59,740 Alexa Lamm: And so you might wanna partner with someone, maybe your stuff applies to both Georgia growers and Florida growers. 227 00:20:00,160 --> 00:20:07,680 Alexa Lamm: Partner with somebody at Florida that can then deliver the message there to those producers because they trust them and they think that they know more about their farm, 228 00:20:07,780 --> 00:20:09,440 Alexa Lamm: and they probably do, right? 229 00:20:10,120 --> 00:20:11,600 Alexa Lamm: It's valid in who we trust. 230 00:20:12,140 --> 00:20:19,660 Alexa Lamm: The final piece to that puzzle, so I said audience, know your audience, what they care about, so create a message they care about, deliver it by a source that 231 00:20:19,700 --> 00:20:24,580 Alexa Lamm: they trust, and then the final piece is it needs to be on the channel that they use. 232 00:20:25,300 --> 00:20:33,340 Alexa Lamm: So for instance, this podcast is awesome, and there are a lot of producers that have told me they love podcasts because when they're driving in the truck or they're 233 00:20:33,400 --> 00:20:38,680 Alexa Lamm: out on the tractor or they're in the farm, they just plug in their headphones, and they can just listen, right? 234 00:20:39,140 --> 00:20:41,700 Alexa Lamm: They don't want a huge long email newsletter anymore. 235 00:20:41,740 --> 00:20:45,580 Alexa Lamm: They want the podcast 'cause they can just listen to it and hear all the great stuff that you're sharing. 236 00:20:45,740 --> 00:20:46,420 Alexa Lamm: It's awesome. 237 00:20:46,840 --> 00:20:54,300 Alexa Lamm: But there are some that just want the email newsletter that they can read when they have a moment or every morning over their coffee or once a week or 238 00:20:54,320 --> 00:20:54,580 Alexa Lamm: whatever. 239 00:20:54,620 --> 00:20:57,040 Alexa Lamm: They know they're gonna get this newsletter, and they're gonna look at it. 240 00:20:57,440 --> 00:21:00,460 Alexa Lamm: And there are others that want social media pushed to them. 241 00:21:00,500 --> 00:21:02,060 Alexa Lamm: There are others that want webinars. 242 00:21:02,500 --> 00:21:05,620 Alexa Lamm: A lot of producers want face-to-face contact. 243 00:21:05,660 --> 00:21:11,840 Alexa Lamm: They love that traditional face-to-face extension field days and getting together. 244 00:21:12,620 --> 00:21:19,200 Alexa Lamm: So you also have to know what their method of receiving information is. 245 00:21:19,580 --> 00:21:21,460 Alexa Lamm: So those are kind of the four pieces. 246 00:21:21,580 --> 00:21:22,460 Alexa Lamm: Know your audience. 247 00:21:22,620 --> 00:21:26,080 Alexa Lamm: That's the foundation of it all because that's gonna drive the other three, right? 248 00:21:26,640 --> 00:21:35,600 Alexa Lamm: What they care about, the message, tell the story they wanna hear, not the one you wanna tell, from the source that they trust on the channel where they're already 249 00:21:35,640 --> 00:21:36,060 Alexa Lamm: present. 250 00:21:36,180 --> 00:21:37,560 Alexa Lamm: Don't ask them to go somewhere new. 251 00:21:38,460 --> 00:21:38,880 Ping Yu: Yeah. 252 00:21:38,940 --> 00:21:42,600 Ping Yu: It's funny that you said all those principles. 253 00:21:42,720 --> 00:21:49,100 Ping Yu: It just basically similar to the message that I got from the, a general communication. 254 00:21:49,580 --> 00:21:59,660 Ping Yu: There was one kind of course from Harvard that I tuned into maybe two years ago about communication, and then the 255 00:21:59,720 --> 00:22:05,040 Ping Yu: first principle from that is know your audience every time. 256 00:22:05,060 --> 00:22:15,120 Ping Yu: (music) I'm glad you mentioned some of the digital media that people are using, including podcasts, webinars, 257 00:22:15,300 --> 00:22:21,640 Ping Yu: and there's, like, Facebook and other media platform that people are getting information out. 258 00:22:22,760 --> 00:22:33,540 Ping Yu: But from your experience, how has the explosion of digital media changed the way that we communicate science, and what changes, what challenges does 259 00:22:33,640 --> 00:22:36,520 Ping Yu: it create for us as communicator? 260 00:22:37,280 --> 00:22:40,380 Alexa Lamm: Gosh, that's a great question, and it has changed the landscape. 261 00:22:40,520 --> 00:22:45,940 Alexa Lamm: I would say even more than just the explosion of digital media, COVID changed the landscape. 262 00:22:46,060 --> 00:22:56,100 Alexa Lamm: When we were kind of forced into utilizing it, pre-COVID, we were kind of dabbling, and Extension was exploring its use as an option to kind 263 00:22:56,140 --> 00:23:00,220 Alexa Lamm: of reduce costs and try and alleviate the pressure to travel a lot. 264 00:23:00,700 --> 00:23:09,420 Alexa Lamm: But then COVID kind of thrust us into, like, this is how we communicate because it's the only way to communicate, and now because people adopted 265 00:23:09,460 --> 00:23:12,840 Alexa Lamm: it more readily during that time, like, we can continue to use it. 266 00:23:12,880 --> 00:23:21,300 Alexa Lamm: I mean, the farmers I work with, it's just as easy to get them on a Zoom screen to have a conversation as it is to get them face-to-face anymore 267 00:23:21,360 --> 00:23:23,680 Alexa Lamm: because it's less time, right? 268 00:23:24,080 --> 00:23:31,040 Alexa Lamm: So I do think it has changed the way that we communicate science in that it has opened the doorway for a lot more. 269 00:23:31,460 --> 00:23:38,340 Alexa Lamm: And it also means that less people are gonna show up at the face-to-face stuff because we're all really busy, and we see other ways of obtaining information. 270 00:23:38,820 --> 00:23:46,780 Alexa Lamm: So one of the things I've noticed, especially in, like, the nursery greenhouse industry, this space is the use of YouTube. 271 00:23:46,940 --> 00:23:56,860 Alexa Lamm: So a lot of producers, they want videos from folks like you on YouTube explaining, like, how a scientific advancement or something they can do. 272 00:23:57,200 --> 00:24:04,720 Alexa Lamm: They even want you in a greenhouse with a GoPro, like, so they can just watch the video and listen to you talk rather than necessarily being there. 273 00:24:05,200 --> 00:24:14,560 Alexa Lamm: And even if you are there doing, like, a field day, also projecting it that way through Facebook Live and then posting it on YouTube later, you will have a 274 00:24:14,620 --> 00:24:16,279 Alexa Lamm: bigger reach than ever before. 275 00:24:16,320 --> 00:24:26,060 Alexa Lamm: And so I think that is how digital media has really helped us do a better job of communicating science, in that we can have a bigger reach, we 276 00:24:26,120 --> 00:24:33,380 Alexa Lamm: can get to more people, but we really have to think strategically about it and do some things ahead of time to set ourselves up for success. 277 00:24:33,860 --> 00:24:42,420 Alexa Lamm: I think the biggest thing is when we choose not to do the traditional things because the digital media is easier, right? 278 00:24:42,480 --> 00:24:47,040 Alexa Lamm: So if a scientist decides, like, "Well, field days are a lot of work. 279 00:24:47,200 --> 00:24:47,980 Alexa Lamm: I have to set it up. 280 00:24:48,040 --> 00:24:49,600 Alexa Lamm: I have to find a facility. 281 00:24:49,720 --> 00:24:50,540 Alexa Lamm: I gotta do lunch. 282 00:24:50,600 --> 00:24:51,480 Alexa Lamm: I gotta get people here. 283 00:24:51,520 --> 00:24:54,740 Alexa Lamm: I have to think about reimbursing for mileage, if that's even a possibility. 284 00:24:54,800 --> 00:24:55,400 Alexa Lamm: Like, how am I..." 285 00:24:58,600 --> 00:25:02,120 Alexa Lamm: You know, when the option is that they could do a webinar for an hour. 286 00:25:02,420 --> 00:25:04,180 Alexa Lamm: Like, you know, it's hard. 287 00:25:04,300 --> 00:25:14,340 Alexa Lamm: It's hard to make those choices, but you can do, you can do kind of a combination thing where you're doing it live face-to-face, but you also have 288 00:25:14,380 --> 00:25:15,400 Alexa Lamm: a digital strategy. 289 00:25:15,700 --> 00:25:25,800 Alexa Lamm: Or maybe you can't get everybody there together, but you can go into your research greenhouse or whatever and video and do that and talk to people, even on Facebook 290 00:25:25,860 --> 00:25:33,200 Alexa Lamm: Live and have them interface with you, but then take that recording and put it on YouTube so that somebody can watch it when they have the time available to 291 00:25:33,240 --> 00:25:33,500 Alexa Lamm: do it. 292 00:25:33,980 --> 00:25:41,000 Ping Yu: I'm glad that you mentioned the YouTube, and I came across one of your studies on the pork production on YouTube. 293 00:25:41,140 --> 00:25:41,260 Alexa Lamm: Mm-hmm. 294 00:25:41,320 --> 00:25:47,100 Ping Yu: Can you tell us a little bit more on that, and how do you think the medium shapes the producer's knowledge gain? 295 00:25:47,400 --> 00:25:53,420 Ping Yu: And are there any way that you can trace back and evaluate their knowledge gain or even behavior change? 296 00:25:53,500 --> 00:25:57,360 Ping Yu: That's just a term that every Extension people would say. 297 00:25:58,160 --> 00:25:58,560 Alexa Lamm: Yeah. 298 00:25:59,280 --> 00:26:00,440 Alexa Lamm: That's a great question. 299 00:26:00,660 --> 00:26:06,720 Alexa Lamm: The article you're referring to was one we did as part of a project funded by the National Pork Board. 300 00:26:06,780 --> 00:26:16,800 Alexa Lamm: They were really interested in communicating more effectively about pork production methods and trying to get the public to understand some of the sustainability efforts and 301 00:26:16,820 --> 00:26:21,020 Alexa Lamm: the animal welfare efforts that the industry undertakes 'cause there's a lot of misconception out there. 302 00:26:21,400 --> 00:26:31,560 Alexa Lamm: And I do think that's something that the digital age, Ping, has, like, really brought in, right, is this whole idea of pseudoscience, misconception, false information that 303 00:26:31,640 --> 00:26:35,400 Alexa Lamm: is presented very similarly to scientific information. 304 00:26:35,440 --> 00:26:42,340 Alexa Lamm: You talked about AI and, like, typing in and getting your answer, but you can't really always trust that answer full stop, right? 305 00:26:42,400 --> 00:26:46,760 Alexa Lamm: We need to do some source checking and identifying source credibility. 306 00:26:47,340 --> 00:26:50,280 Alexa Lamm: Now, that being said, though, so we are in competition, right? 307 00:26:50,960 --> 00:27:01,220 Alexa Lamm: But that being said, we can look at, more than ever before, what those that may not agree with us think and believe 308 00:27:01,280 --> 00:27:02,940 Alexa Lamm: because they are readily out there, right? 309 00:27:03,060 --> 00:27:10,700 Alexa Lamm: If the scientific community, if the agricultural community chooses not to be present, there will be others that fill the space, right? 310 00:27:10,880 --> 00:27:11,720 Alexa Lamm: Like- (Ping Yu: Mm-hmm) 311 00:27:11,740 --> 00:27:13,760 Alexa Lamm: And then that's what when you search, you find. 312 00:27:14,200 --> 00:27:23,740 Alexa Lamm: And so when the public, when the decision-maker goes to search, they have a question about, like, water use on farm, if we don't have good stuff, the other stuff 313 00:27:23,760 --> 00:27:27,480 Alexa Lamm: will show up, and it looks very real and very reliable. 314 00:27:27,540 --> 00:27:34,720 Alexa Lamm: And so, one, we've got to teach people critical thinking skills, (laughs) like the ones (Ping Yu: Yes) you talked about earlier, right? 315 00:27:34,760 --> 00:27:42,980 Alexa Lamm: That it- we do need to look into credibility and find out who the source was, and is this a reliable source of information, and kind of track back 316 00:27:43,020 --> 00:27:43,740 Alexa Lamm: to where it came from. 317 00:27:43,780 --> 00:27:52,300 Alexa Lamm: Because sometimes the misinformation out there, they track back to a journal article, but they just completely misinterpreted the data, right? 318 00:27:52,400 --> 00:27:54,860 Alexa Lamm: And it- and I don't think that it's always intentional. 319 00:27:55,560 --> 00:27:59,020 Alexa Lamm: I think that sometimes there's disinformation and misinformation. 320 00:27:59,120 --> 00:28:02,640 Alexa Lamm: And disinformation and misinformation means one's intentional and one's not. 321 00:28:03,200 --> 00:28:10,680 Alexa Lamm: Either way, it can cause harm, and so we need to be, like, teaching people how to think critically about what they find online. 322 00:28:11,460 --> 00:28:17,660 Alexa Lamm: But we also have to be present with the good stuff or, like, there's only the bad stuff available. 323 00:28:18,120 --> 00:28:20,000 Alexa Lamm: So it's kind of filling that space too. 324 00:28:20,140 --> 00:28:28,640 Ping Yu: (music) You have worked with studies examining public decision-making about science topics. 325 00:28:29,000 --> 00:28:39,000 Ping Yu: And I know there's a lot of folks out there, like you said, they are sourcing information online on YouTube, but what kind of insights 326 00:28:39,080 --> 00:28:49,220 Ping Yu: that you can share with us of how people make decisions when they receive scientific information, and how we as scientists can build 327 00:28:49,300 --> 00:28:56,740 Ping Yu: trust with those diverse audience who might be skeptical of scientific message? 328 00:28:57,480 --> 00:28:57,860 Alexa Lamm: Yeah. 329 00:28:57,980 --> 00:29:00,540 Alexa Lamm: So it's really an interesting time. 330 00:29:01,180 --> 00:29:10,860 Alexa Lamm: I just was giving a presentation last week at K-State on science communication and shared with them that, you know, we're at a time where trust 331 00:29:10,920 --> 00:29:12,520 Alexa Lamm: in science is at an all-time low. 332 00:29:12,880 --> 00:29:18,839 Alexa Lamm: It's about forty-three percent of the general public will report that they trust science, and that's scary, right? 333 00:29:18,899 --> 00:29:22,400 Alexa Lamm: That's like, wow, what do they not trust about us? 334 00:29:22,920 --> 00:29:30,740 Alexa Lamm: But honestly, when you dig deeper into the literature, you find that they believe that scientists have their own agenda, right? 335 00:29:30,820 --> 00:29:40,880 Alexa Lamm: That we only ask the questions that we're curious about, and then we build our experiments based on what we want to find, not leaving ourselves open to 336 00:29:40,920 --> 00:29:47,560 Alexa Lamm: the possibility of new information emerging or things that contradict what we say. 337 00:29:48,120 --> 00:29:54,660 Alexa Lamm: And I'll be honest with you, a lot of that is our fault, the scientific community's fault. 338 00:29:54,840 --> 00:30:01,740 Alexa Lamm: One, we like to think we're pretty darn smart and that we're right all the time, and how dare you question science, right? 339 00:30:01,980 --> 00:30:04,160 Alexa Lamm: We get defensive about our results. 340 00:30:04,800 --> 00:30:13,700 Alexa Lamm: But we also, sometime, somewhere along the way decided to stop publishing like null results, right? 341 00:30:13,800 --> 00:30:22,120 Alexa Lamm: We test a hypothesis, and only if we find something where the hypothesis is proved to be true do we publish it, right? 342 00:30:22,260 --> 00:30:31,660 Alexa Lamm: It's like, I don't know how many times I've heard faculty say to a graduate student, "Well, it's unfortunate that this didn't result in any significant findings because now you 343 00:30:31,700 --> 00:30:32,420 Alexa Lamm: can't publish it." 344 00:30:32,520 --> 00:30:39,180 Alexa Lamm: And it's like, well, isn't the fact that we tested a hypothesis and it didn't prove to be true a finding? 345 00:30:39,220 --> 00:30:42,360 Alexa Lamm: Like, and I think that's how the public thinks about science. 346 00:30:42,420 --> 00:30:46,720 Alexa Lamm: It's like, well, why are we only hearing about the significant results? 347 00:30:46,780 --> 00:30:55,960 Alexa Lamm: Why are we not hearing about all the other science that goes on that proves that what the scientists thought was true isn't true, right? 348 00:30:56,060 --> 00:31:04,600 Alexa Lamm: It's like, so we've kind of created this space where it's like, all right, we're perceived as only asking questions we're interested in, not the ones that they care about. 349 00:31:05,060 --> 00:31:09,280 Alexa Lamm: And then when it doesn't work out the way that we think that it should, we don't publish it. 350 00:31:09,540 --> 00:31:10,500 Alexa Lamm: We don't talk about it. 351 00:31:11,360 --> 00:31:14,800 Alexa Lamm: And so it's kind of like, well, would I trust that too? 352 00:31:15,300 --> 00:31:21,280 Alexa Lamm: And then when you look at funding mechanisms and who's funding different things, it comes into question too. 353 00:31:21,500 --> 00:31:31,560 Alexa Lamm: Like, well, if the Agricultural Commodity Board that you're studying is funding this, then are they informing your research findings or the way that you're interpreting your 354 00:31:31,600 --> 00:31:32,120 Alexa Lamm: results? 355 00:31:32,560 --> 00:31:32,780 Alexa Lamm: Right? 356 00:31:32,860 --> 00:31:39,020 Alexa Lamm: So we kind of hear sometimes like, "Oh, we believe they're in the pocket of Big Ag," right? 357 00:31:39,060 --> 00:31:48,760 Alexa Lamm: Like, and we hear those kinds of things, and scientists are brought into question online, and social media influencers are trying to entice followers, and they do that by 358 00:31:48,860 --> 00:31:57,320 Alexa Lamm: asking provocative questions that will get people emotionally connected to their pursuit or their agenda. 359 00:31:57,700 --> 00:31:59,840 Alexa Lamm: And then the scientific community doesn't do that, right? 360 00:31:59,900 --> 00:32:03,080 Alexa Lamm: Because we try to remove emotion from everything. 361 00:32:03,140 --> 00:32:08,320 Alexa Lamm: We try to say, "Well, no, it's scientific fact, it's scientific truth, it's grounded in research." 362 00:32:09,500 --> 00:32:17,560 Alexa Lamm: But then the needle moves, and the science changes and shifts, and it's like, well, you said that was fact ten years ago, and now we have new technology that's 363 00:32:17,600 --> 00:32:19,740 Alexa Lamm: proven that's not the case anymore. 364 00:32:19,760 --> 00:32:26,080 Alexa Lamm: And so like, is it really fact or is science like a movable thing? 365 00:32:26,180 --> 00:32:33,860 Alexa Lamm: So we've given the public and decision-makers as a part of that group a lot of reasons not to trust science. 366 00:32:34,280 --> 00:32:37,380 Alexa Lamm: So your second part of your question was, how do we build that back? 367 00:32:38,460 --> 00:32:46,980 Alexa Lamm: One, I think we need to be more transparent about what we do, how we do it, why we ask the questions we do, and what the results are. 368 00:32:47,080 --> 00:32:56,100 Alexa Lamm: I think our journals need to publish non-findings just as much as publishing significant findings, like non-significant and significant findings. 369 00:32:56,160 --> 00:33:04,120 Alexa Lamm: We shouldn't be removing the non-significant stuff from the conversation because that is the proof of like over time, right? 370 00:33:04,220 --> 00:33:06,220 Alexa Lamm: Things haven't changed versus have. 371 00:33:06,800 --> 00:33:09,800 Alexa Lamm: I think we need to stop talking about scientific fact and truth. 372 00:33:10,020 --> 00:33:13,940 Alexa Lamm: We- You know, you go to the doctor, and they talk about practicing medicine. 373 00:33:13,980 --> 00:33:21,220 Alexa Lamm: "We figured out this is what we think is wrong with you, so we're gonna try this solution, see what happens, and then we'll come back together and 374 00:33:21,320 --> 00:33:23,680 Alexa Lamm: see if we need to adjust or adapt that, right?" 375 00:33:24,020 --> 00:33:26,120 Alexa Lamm: They never talk in like medical certainty. 376 00:33:26,780 --> 00:33:30,040 Alexa Lamm: But yet for some reason in the scientific community, we do that. 377 00:33:30,360 --> 00:33:37,700 Alexa Lamm: And I think we need to talk more about like the advancements of science and how it shifts and changes, and what we learn leads to better learning, and as 378 00:33:37,740 --> 00:33:46,380 Alexa Lamm: we create more machines and even AI, right, we can do things with an efficiency that we couldn't even just five years ago, let alone twenty years ago. 379 00:33:46,920 --> 00:33:56,380 Alexa Lamm: And so I think we need to stop talking in like scientific certainty, fact, truth, because truth is really kind of one of those like kind of gray areas, right? 380 00:33:56,460 --> 00:34:00,920 Alexa Lamm: What's true for me may not be true for you, and we need to be more okay with that. 381 00:34:01,260 --> 00:34:09,840 Alexa Lamm: And that we can shout science all day long, and somebody can know it and be informed, and yet still choose to do what they see as right for them. 382 00:34:10,280 --> 00:34:18,120 Alexa Lamm: Because humans are emotional, they're not logical, and science talks to logic, numbers, facts, figures. 383 00:34:18,720 --> 00:34:26,480 Alexa Lamm: And so we need to bring, finally my last point here, we need to bring more emotion, more storytelling to science. 384 00:34:27,080 --> 00:34:32,160 Alexa Lamm: And I think people like you doing this podcast, bringing different groups on to tell their stories. 385 00:34:32,540 --> 00:34:42,660 Alexa Lamm: I love when we talk about scientific adoption and impact to not always talk about like generalizable large numbers, but rather, here is a producer that adopted 386 00:34:42,700 --> 00:34:43,640 Alexa Lamm: this practice. 387 00:34:44,020 --> 00:34:51,420 Alexa Lamm: This is the challenges they faced, these are how they overcame them, and this was the end result of their product and their success long term. 388 00:34:51,960 --> 00:35:00,800 Alexa Lamm: That resonates more with other producers as well as the public and decision-makers than any like generalizable fact figure ever will. 389 00:35:01,540 --> 00:35:11,560 Alexa Lamm: And so we need to bring that human emotional component back to, like, not only communicating about science, but also 390 00:35:11,600 --> 00:35:14,940 Alexa Lamm: its impact (Ping Yu: Yeah), telling those stories. 391 00:35:15,860 --> 00:35:22,940 Ping Yu: Yeah, I feel the same because, like you said, the non-significant results are never get published. 392 00:35:23,560 --> 00:35:33,700 Ping Yu: One of my students, they- he did a study on Osmanthus fragrans, and one of the things that he found is that there's no germination for whatever 393 00:35:33,780 --> 00:35:34,540 Ping Yu: he has done. 394 00:35:35,080 --> 00:35:45,180 Ping Yu: And so we ended up having to, well, the most part, well, we were like, okay, now I don't think the, any journal article gonna accept the 395 00:35:45,740 --> 00:35:55,900 Ping Yu: fact that we don't have any significant results on that, but we can only do, what we could do to still deliver the information 396 00:35:56,380 --> 00:36:03,300 Ping Yu: to whoever who might be thinking that's useful is through a proceeding, which kind of discouraged him. 397 00:36:03,360 --> 00:36:06,500 Ping Yu: But anyhow, that's the only gateway we can do right now. 398 00:36:07,060 --> 00:36:17,160 Ping Yu: But I agree with you that there are a lot of study that, well, without the significant results, but they are still very valuable information that 399 00:36:17,320 --> 00:36:18,720 Ping Yu: needs to be getting out there. 400 00:36:19,100 --> 00:36:27,580 Ping Yu: And also, I think one of the misconception from us as scientists and also the general public is that science is science. 401 00:36:27,660 --> 00:36:29,660 Ping Yu: It's 100% right. 402 00:36:29,740 --> 00:36:31,180 Ping Yu: It's not changeable. 403 00:36:31,360 --> 00:36:32,200 Ping Yu: It's just there. 404 00:36:32,900 --> 00:36:36,960 Ping Yu: But I see science as a moving piece. 405 00:36:37,140 --> 00:36:40,460 Ping Yu: I think science advance will evolve over time. 406 00:36:41,480 --> 00:36:42,700 Alexa Lamm: Yes, I agree. 407 00:36:42,780 --> 00:36:52,380 Alexa Lamm: And you know, we do talk about confidence intervals and all of that, and we acknowledge there's limitations, but then when we go and share it, it's like, well, 408 00:36:52,460 --> 00:36:56,640 Alexa Lamm: this is our finding, so this is what it implies and this is our recommendation and... 409 00:36:57,180 --> 00:36:57,380 Alexa Lamm: Right? 410 00:36:57,660 --> 00:36:59,820 Alexa Lamm: So it is a tricky one. 411 00:37:00,340 --> 00:37:01,060 Alexa Lamm: It is tricky. 412 00:37:01,220 --> 00:37:11,380 Ping Yu: (music) I love the way that you mentioned that we need to bring the human part more to the 413 00:37:11,440 --> 00:37:19,120 Ping Yu: science or scientific communication and add more emotion in there instead of just logic alone. 414 00:37:19,420 --> 00:37:23,820 Ping Yu: Can you tell us a little bit more about what, why the... 415 00:37:24,120 --> 00:37:28,100 Ping Yu: Well, can you talk about the role of emotion in science community? 416 00:37:28,200 --> 00:37:38,260 Ping Yu: And give us an example, if you have one, of how that can shape the reception from the audience we're talking to of 417 00:37:38,460 --> 00:37:44,000 Ping Yu: better receiving the communication from science instead of just using the logic alone. 418 00:37:44,720 --> 00:37:44,960 Alexa Lamm: Sure. 419 00:37:45,260 --> 00:37:46,000 Alexa Lamm: I'd be happy to. 420 00:37:46,220 --> 00:37:56,780 Alexa Lamm: One of my biggest suggestions when you're walking into a room or providing a program for a group that you're, you maybe don't have trust with already, right, 421 00:37:57,060 --> 00:38:03,380 Alexa Lamm: is starting your, like, not just jumping right into the content, but starting with your own why. 422 00:38:03,900 --> 00:38:05,900 Alexa Lamm: Like, why are you standing in front of them that day? 423 00:38:06,020 --> 00:38:07,200 Alexa Lamm: Why do you care about this? 424 00:38:07,300 --> 00:38:08,580 Alexa Lamm: Why are you studying this? 425 00:38:09,200 --> 00:38:13,320 Alexa Lamm: Because people resonate with emotional connection, right? 426 00:38:13,480 --> 00:38:23,580 Alexa Lamm: So I have a lot of reasons why I do what I do, but most deeply in me is I believe strongly in science and 427 00:38:23,640 --> 00:38:34,220 Alexa Lamm: scientific advancement and the funding of science because my daughter was born with a heart condition, and she went, underwent open heart surgery when she was just 428 00:38:34,280 --> 00:38:35,100 Alexa Lamm: two months old. 429 00:38:35,560 --> 00:38:45,780 Alexa Lamm: And I found out as a scientist digging deeply into the literature, that if she had been born just fifteen, eighteen years prior, she never would've survived 430 00:38:45,840 --> 00:38:49,420 Alexa Lamm: because the scientific advancement to save her life was not available. 431 00:38:49,780 --> 00:39:00,320 Alexa Lamm: And it's because there are faculty at the University of Florida and around the world studying pediatric cardiology that there is the science available 432 00:39:00,400 --> 00:39:02,800 Alexa Lamm: to literally save my daughter's life, and it did. 433 00:39:02,860 --> 00:39:09,260 Alexa Lamm: She had a second open heart surgery right after her second birthday for another reason that was also successful. 434 00:39:09,780 --> 00:39:17,740 Alexa Lamm: So when I think about my superhero, the person I look up to the most, his name is Dr. Mark Bleiweis, and he is a professor at the University of 435 00:39:17,800 --> 00:39:19,779 Alexa Lamm: Florida, and he has saved my little girl. 436 00:39:20,279 --> 00:39:21,840 Alexa Lamm: And that's enough, right? 437 00:39:21,880 --> 00:39:25,120 Alexa Lamm: That's enough for me to get up every morning and fight for science. 438 00:39:25,540 --> 00:39:27,200 Alexa Lamm: And it's not just medical science, right? 439 00:39:27,260 --> 00:39:34,840 Alexa Lamm: For me, it's agricultural science because I've also seen misinformed regulation take down farmers' right to farm. 440 00:39:35,280 --> 00:39:45,460 Alexa Lamm: And it comes from decision-makers that are informed by a public that are completely misinformed about the scientific backing of agricultural 441 00:39:45,500 --> 00:39:46,540 Alexa Lamm: production techniques. 442 00:39:46,960 --> 00:39:49,740 Alexa Lamm: And so I have a passion for that, right? 443 00:39:50,240 --> 00:39:55,960 Alexa Lamm: But I will start a conversation or a presentation to hundreds of people with my own why. 444 00:39:56,060 --> 00:40:05,200 Alexa Lamm: And it's making yourself vulnerable and emotional and sharing personal things like I just did with you, that then builds immediate trust with people because it's like, "Okay, I get 445 00:40:05,240 --> 00:40:08,600 Alexa Lamm: why she's here, I get why she cares, and it's worth listening to." 446 00:40:09,360 --> 00:40:19,160 Alexa Lamm: We- if we expect other people to feel emotionally connected to the information that we are providing them, because that's what actually changes decision-making, is emotion, not logic, right? 447 00:40:19,240 --> 00:40:20,440 Alexa Lamm: They go hand-in-hand. 448 00:40:20,980 --> 00:40:28,420 Alexa Lamm: Then we have to be willing to be open and honest about our own emotional connection to the information. 449 00:40:28,460 --> 00:40:34,960 Alexa Lamm: Like I can tell even you telling this story about your grad student, Ping, that it's painful for you that he went through all of this and then struggled 450 00:40:35,020 --> 00:40:38,140 Alexa Lamm: because he deserves to be published because he did all this work. 451 00:40:38,520 --> 00:40:46,780 Alexa Lamm: Besides the fact that you don't want somebody else now to go and waste all this time and money conducting this same experiment, knowing full well from your own lab 452 00:40:46,840 --> 00:40:48,560 Alexa Lamm: that that is not gonna germinate, right? 453 00:40:48,780 --> 00:40:50,580 Alexa Lamm: So that knowledge needs to get out there. 454 00:40:51,020 --> 00:41:01,080 Alexa Lamm: So, I think when we start sharing like why we do what we do, and resonating with people and connecting emotionally, but then talking about scientific findings and 455 00:41:01,140 --> 00:41:09,460 Alexa Lamm: how they can help society, and telling not only stories about the people we work with, but stories about ourselves, that can help build trust. 456 00:41:10,560 --> 00:41:10,840 Ping Yu: Yeah. 457 00:41:11,000 --> 00:41:21,160 Ping Yu: I really appreciate that you shared that, and I have come across some other guest speakers in, on the podcast sharing their personal stories like 458 00:41:21,240 --> 00:41:23,960 Ping Yu: this, and I just find fascinating. 459 00:41:24,060 --> 00:41:32,720 Ping Yu: And that's one of the reasons why I'm doing this podcast, and I know it's a lot of work, but I really enjoy it because as a scientific community, 460 00:41:32,880 --> 00:41:43,580 Ping Yu: as us, especially agriculture, we have tons of those intriguing stories from a lot of different people, but our story was definitely not 461 00:41:43,660 --> 00:41:52,480 Ping Yu: being told enough to the general public, and our impact to the whole society was underestimated for a lot of reasons. 462 00:41:52,860 --> 00:42:02,520 Ping Yu: And you know, at the end of the day, everybody has their own family, and they have the reason to do certain things with their own logic behind 463 00:42:02,580 --> 00:42:05,440 Ping Yu: it, but we're human. 464 00:42:05,720 --> 00:42:06,720 Ping Yu: It's emotion. 465 00:42:06,880 --> 00:42:14,540 Ping Yu: It's those stories that connect us as a human, as a species on this planet that other planet doesn't have. 466 00:42:15,180 --> 00:42:25,640 Ping Yu: So I think no matter how AI advanced down the road, the core thing that distinguish us with other 467 00:42:25,760 --> 00:42:29,320 Ping Yu: is the connection, is the emotion that we have. 468 00:42:29,820 --> 00:42:31,520 Ping Yu: So thank you for sharing that. 469 00:42:31,580 --> 00:42:41,900 Ping Yu: I think that's just one of the fascinating thing about us as a human, as a society, that we share and that make us unique. 470 00:42:42,500 --> 00:42:42,700 Alexa Lamm: Yeah. 471 00:42:43,080 --> 00:42:43,820 Alexa Lamm: Absolutely. 472 00:42:44,020 --> 00:42:46,480 Alexa Lamm: And you can't replace that, right, with a machine. 473 00:42:47,140 --> 00:42:57,380 Alexa Lamm: You can't replace that connection, and we need to use it to our advantage because I will tell you that advocates that are anti-production agriculture or really 474 00:42:57,500 --> 00:43:01,680 Alexa Lamm: anti-whatever they choose, they use emotion, right? 475 00:43:01,680 --> 00:43:02,820 Alexa Lamm: (chuckles) They use stories. 476 00:43:03,280 --> 00:43:05,520 Alexa Lamm: They elicit anger and fear. 477 00:43:06,020 --> 00:43:15,240 Alexa Lamm: And I'm not saying the scientific community should do that, but there's no reason why we should always be separating ourselves from the emotional connection that we have 478 00:43:15,300 --> 00:43:18,300 Alexa Lamm: to the work we do and to each other, just like you said. 479 00:43:18,800 --> 00:43:24,280 Alexa Lamm: But it means making ourselves vulnerable, and that is not what we are taught to do in grad school, right? 480 00:43:24,360 --> 00:43:25,980 Alexa Lamm: But it is important. 481 00:43:25,980 --> 00:43:36,080 Ping Yu: (music) So in terms of the science communication effort, how do you 482 00:43:36,200 --> 00:43:41,240 Ping Yu: assess that, and what kind of metrics or indicators do you use? 483 00:43:41,840 --> 00:43:43,820 Alexa Lamm: That's a great question. 484 00:43:44,080 --> 00:43:45,100 Alexa Lamm: We do have tools. 485 00:43:45,160 --> 00:43:54,340 Alexa Lamm: We have quantitative tools like common measures type of tool that can assess public value of a program, of an extension program. 486 00:43:54,660 --> 00:44:04,620 Alexa Lamm: So how much knowledge was gained by the receiver of the information, what is their intent to use that, and then even following up metrics, observational metrics over 487 00:44:04,680 --> 00:44:07,640 Alexa Lamm: time to see if that behavior was altered, right? 488 00:44:07,740 --> 00:44:11,780 Alexa Lamm: And that takes a lot of tracking at the six-month, twelve-month, twenty-four-month mark. 489 00:44:12,320 --> 00:44:19,680 Alexa Lamm: A lot of people will commit to doing something, but we know about 80% of intention doesn't follow through in full behavior change. 490 00:44:20,260 --> 00:44:23,300 Alexa Lamm: But we can also assign economic values to information. 491 00:44:23,360 --> 00:44:25,280 Alexa Lamm: We can ask people to do that. 492 00:44:25,380 --> 00:44:35,440 Alexa Lamm: Most people know if some information will lead to an economic loss or gain for them, if they are gonna save money or have more 493 00:44:35,500 --> 00:44:36,320 Alexa Lamm: resources. 494 00:44:36,720 --> 00:44:45,680 Alexa Lamm: But we can also measure levels of emotional well-being, so how much something will help them feel more secure, more safe. 495 00:44:45,940 --> 00:44:50,140 Alexa Lamm: So we have some of those measures available that are being used more and more by Extension. 496 00:44:50,660 --> 00:44:58,820 Alexa Lamm: And I worked very closely with some ag economists to create that tool, oh, about eight or nine years ago, and we have about half of the United 497 00:44:58,900 --> 00:45:01,960 Alexa Lamm: States that uses it pretty consistently within their extension systems. 498 00:45:02,180 --> 00:45:03,480 Alexa Lamm: So there are those ways. 499 00:45:04,040 --> 00:45:14,120 Alexa Lamm: But truly, honestly, I think when I look back at all the work that I've done with extension specialists like yourselves, it's really going back to the producers that 500 00:45:14,140 --> 00:45:16,320 Alexa Lamm: are like the opinion leaders within the system. 501 00:45:16,360 --> 00:45:19,600 Alexa Lamm: 'Cause there's always the producer that everybody else looks up to, right? 502 00:45:19,640 --> 00:45:22,660 Alexa Lamm: And it's like, if they're gonna do it, then others will adopt it. 503 00:45:22,760 --> 00:45:25,300 Alexa Lamm: If they decide not to do it, you're done, right? 504 00:45:25,920 --> 00:45:33,500 Alexa Lamm: But going back and working closely with them and seeing what they've implemented and then asking them to tell stories or even connect you with others on what they've 505 00:45:33,540 --> 00:45:36,400 Alexa Lamm: done, that's truly the better measure of impact. 506 00:45:36,700 --> 00:45:38,680 Alexa Lamm: It's just not as quantifiable, right? 507 00:45:39,240 --> 00:45:40,760 Alexa Lamm: It's the story of impact. 508 00:45:40,980 --> 00:45:44,060 Alexa Lamm: But I think those are just as if not more powerful. 509 00:45:44,880 --> 00:45:53,340 Alexa Lamm: It's when we can partner the two together that they're the most effective when talking with decision-makers because they want the numbers, 'cause they have to have the numbers, but 510 00:45:53,400 --> 00:46:01,980 Alexa Lamm: then the face, the story, the picture, the video behind it really helps that information resonate, like what does it actually mean? 511 00:46:02,860 --> 00:46:03,340 Ping Yu: Mm-hmm. 512 00:46:03,400 --> 00:46:13,520 Ping Yu: Yeah, I now realize it, it's kind of a quick shift from the, (chuckles) from being vulnerable to the metrics and then the logic. 513 00:46:13,580 --> 00:46:21,780 Ping Yu: That's just one side effect for a lot of scientists like me 'cause when we talk about something we're like, "Okay, how can we quantify that?" 514 00:46:21,820 --> 00:46:24,740 Ping Yu: (chuckles) It's just- (Alexa Lamm: Mm-hmm) you know, it's just the nature of us. 515 00:46:24,980 --> 00:46:32,640 Ping Yu: Well, 'cause now we talk about a lot of controversial topics like GMOs, climate change, food safety. 516 00:46:32,920 --> 00:46:41,460 Ping Yu: How do you approach those emotional topics or controversial topics in the communication work? 517 00:46:42,200 --> 00:46:50,820 Alexa Lamm: Oh, there are definitely some sticky spaces out there, right, within the ag area, and you named several of them. 518 00:46:50,920 --> 00:47:01,020 Alexa Lamm: I would definitely say genetic modification of crops and now as we are adopting CRISPR and moving into genetically engineered crops, and the two words 519 00:47:01,120 --> 00:47:07,120 Alexa Lamm: sound similar but are different and explaining the difference between the two and what is CRISPR and all this stuff, right? 520 00:47:07,720 --> 00:47:09,840 Alexa Lamm: We can learn a lot from our previous mistakes. 521 00:47:10,340 --> 00:47:20,360 Alexa Lamm: I think transparency, open transparency is important for consumers as they think about where they're going to for information, do 522 00:47:20,380 --> 00:47:21,960 Alexa Lamm: they trust that source, right? 523 00:47:22,760 --> 00:47:27,400 Alexa Lamm: Anytime something feels hidden, we need to be more open about it. 524 00:47:28,020 --> 00:47:33,760 Alexa Lamm: But I think we also need to recognize that there will be people that will argue for the sake of argument. 525 00:47:33,860 --> 00:47:40,080 Alexa Lamm: Like I mentioned earlier, the influencers that are really just trying to elicit reaction because that's what gets them followers. 526 00:47:40,660 --> 00:47:50,860 Alexa Lamm: And it's not even that they necessarily are that passionate or believe in their own response, but they're doing it to elicit engagement because that's what gets 527 00:47:50,920 --> 00:47:56,400 Alexa Lamm: their posts and the algorithm to pick them up and so they have a different incentive than we do. 528 00:47:56,980 --> 00:48:05,480 Alexa Lamm: And so oftentimes when a scientist tells me like, "Man, I would love to post about my science online, but I just, I can't handle the heat. 529 00:48:05,540 --> 00:48:05,960 Alexa Lamm: I don't... 530 00:48:06,000 --> 00:48:14,120 Alexa Lamm: like I don't know what to do when somebody reacts, and then I don't wanna engage 'cause I've heard of, I've heard these horror stories of scientists that engage with 531 00:48:14,160 --> 00:48:16,520 Alexa Lamm: social media influencers and lose their jobs and..." 532 00:48:17,040 --> 00:48:18,800 Alexa Lamm: I mean, we've all heard those stories, right? 533 00:48:19,620 --> 00:48:22,940 Alexa Lamm: And the truth is like I tell them, "Don't engage." 534 00:48:23,680 --> 00:48:25,600 Alexa Lamm: Like you don't have to answer back. 535 00:48:26,040 --> 00:48:29,100 Alexa Lamm: Just because somebody's coming at you, you do not have to respond. 536 00:48:29,540 --> 00:48:31,900 Alexa Lamm: Delete, delete, delete. 537 00:48:32,080 --> 00:48:35,580 Alexa Lamm: Like, and soon they will get tired and they'll find another target. 538 00:48:36,160 --> 00:48:42,560 Alexa Lamm: And you just have to recognize that like if you don't engage, it's a better long-term strategy. 539 00:48:43,020 --> 00:48:51,400 Alexa Lamm: And relying on your communication folks at your university to help you with that and to guide you, because maybe sometimes there is a reason to engage or to have 540 00:48:51,440 --> 00:48:55,520 Alexa Lamm: a reaction, but it's probably best coming from your university rather than you. 541 00:48:55,960 --> 00:49:02,920 Alexa Lamm: And so I would- I argue that like we have to be out there, we have to fill the space because if we don't, it will get filled by other 542 00:49:03,020 --> 00:49:03,280 Alexa Lamm: stuff. 543 00:49:03,340 --> 00:49:04,540 Alexa Lamm: We talked about that earlier. 544 00:49:05,360 --> 00:49:09,960 Alexa Lamm: But when things come and get tense, it's like just stop reacting. 545 00:49:10,160 --> 00:49:14,000 Alexa Lamm: I have a good friend, he's a celebrity chef. 546 00:49:14,160 --> 00:49:15,200 Alexa Lamm: His name's Lazarus Lynch. 547 00:49:15,240 --> 00:49:17,720 Alexa Lamm: He was a World Food Prize fellow. 548 00:49:18,019 --> 00:49:19,640 Alexa Lamm: He won Chopped twice. 549 00:49:20,079 --> 00:49:21,880 Alexa Lamm: So he has a huge social media following. 550 00:49:21,900 --> 00:49:23,400 Alexa Lamm: He's big into the mental health space. 551 00:49:23,960 --> 00:49:32,940 Alexa Lamm: And but when he's cooking, he's talking about the science behind production agriculture and like why he believes in certain products and locally sourced products in these spaces, and how 552 00:49:33,000 --> 00:49:36,880 Alexa Lamm: that, it goes into his cooking and his meals and nutrition and stuff. 553 00:49:36,940 --> 00:49:46,760 Alexa Lamm: So he reaches people with agricultural information like I mean, probably more people in like a minute than I do in ten years, right? 554 00:49:46,900 --> 00:49:48,000 Alexa Lamm: I mean, he's that kind of guy. 555 00:49:48,620 --> 00:49:51,560 Alexa Lamm: And I, my- I had him guest lecture one of my classes once. 556 00:49:51,600 --> 00:49:56,800 Alexa Lamm: He Zoomed into one of my classes, and one of my students asked him this exact question, like, "What do you do when things get hot?" 557 00:49:57,220 --> 00:50:00,660 Alexa Lamm: And he said like, "I just delete the line. 558 00:50:01,340 --> 00:50:06,300 Alexa Lamm: Like, I just, I go in and it's like I do not have to let that sit on my social media feed. 559 00:50:06,380 --> 00:50:07,420 Alexa Lamm: I just take it out. 560 00:50:07,740 --> 00:50:10,340 Alexa Lamm: Haters gonna hate, I accept it, and I move on. 561 00:50:10,920 --> 00:50:12,340 Alexa Lamm: And that is okay. 562 00:50:12,880 --> 00:50:19,780 Alexa Lamm: And it's like we all just need to get comfortable with the fact that people (Ping Yu: Mm-hmm) are gonna disagree with us, and it's okay. 563 00:50:20,020 --> 00:50:20,620 Alexa Lamm: Let them go. 564 00:50:21,060 --> 00:50:24,280 Alexa Lamm: Just- Ping Yu: Yeah, I guess it's just shake it off. 565 00:50:24,580 --> 00:50:25,000 Alexa Lamm: Yeah. 566 00:50:25,060 --> 00:50:25,380 Alexa Lamm: Right? 567 00:50:26,020 --> 00:50:31,180 Alexa Lamm: But- (Ping Yu: Yeah) it's when you react, that elicits more and more and more, and can get you into some serious trouble. 568 00:50:31,300 --> 00:50:39,260 Alexa Lamm: So I will admit, like, I have had, especially working with the National Pork Board, which you mentioned earlier, and being funded by them, I've had some groups 569 00:50:39,660 --> 00:50:44,420 Alexa Lamm: publish some not-so-nice stuff about my team and we just let it go. 570 00:50:45,380 --> 00:50:45,540 Ping Yu: Mm-hmm. 571 00:50:45,640 --> 00:50:46,140 Alexa Lamm: And you know what? 572 00:50:46,200 --> 00:50:47,420 Alexa Lamm: It never picked up steam. 573 00:50:48,120 --> 00:50:48,720 Alexa Lamm: It never did. 574 00:50:49,060 --> 00:50:52,880 Alexa Lamm: And you just gotta like, in the moment though, ooh, it doesn't feel good. 575 00:50:52,880 --> 00:51:03,420 Ping Yu: (music) So with your intense involvement and experiencing science 576 00:51:03,480 --> 00:51:13,700 Ping Yu: communication, how can early career researchers and communicators prepare themself for better future 577 00:51:13,800 --> 00:51:17,740 Ping Yu: public engagement and better effective communicator? 578 00:51:18,660 --> 00:51:26,720 Alexa Lamm: I think early scientists have a unique opportunity to engage with folks like me or take a course or a workshop. 579 00:51:26,940 --> 00:51:31,480 Alexa Lamm: We have more agricultural communication faculty in the United States than ever before. 580 00:51:31,520 --> 00:51:34,320 Alexa Lamm: It's a burgeoning, like, I mean, it's an emerging field. 581 00:51:34,900 --> 00:51:43,600 Alexa Lamm: And so most of the land grant universities have someone like me that's offering programs, support, workshops in effective science communication. 582 00:51:43,700 --> 00:51:46,440 Alexa Lamm: So don't be afraid to engage in that and learn. 583 00:51:47,140 --> 00:51:50,100 Alexa Lamm: Keep your mind open and learn as much as you can. 584 00:51:50,620 --> 00:51:56,300 Alexa Lamm: Attend workshops, engage with the Council for Agricultural Science and Technology, CAST. 585 00:51:56,900 --> 00:51:59,900 Alexa Lamm: They do an excellent job of communicating science. 586 00:51:59,940 --> 00:52:05,660 Alexa Lamm: And so if you wanna learn about what effective ways, they have webinars and programs. 587 00:52:05,720 --> 00:52:07,759 Alexa Lamm: They're a great resource. 588 00:52:08,259 --> 00:52:17,620 Alexa Lamm: But all the early career scientists out there, a little different from me, are digital natives, and so you all know more about communicating online than I 589 00:52:17,700 --> 00:52:18,220 Alexa Lamm: ever will. 590 00:52:18,540 --> 00:52:23,040 Alexa Lamm: And even though I study it and I teach about it, use what you know. 591 00:52:23,540 --> 00:52:31,580 Alexa Lamm: Like, use what you know in terms of your personal life and connecting with people on social media or through podcasts or through YouTube or whatever, because I think 592 00:52:31,640 --> 00:52:37,600 Alexa Lamm: sometimes we don't really recognize that we have a lot of our own implicit knowledge in this space. 593 00:52:37,640 --> 00:52:41,880 Alexa Lamm: And so be open to embracing that as part of your job. 594 00:52:42,540 --> 00:52:42,860 Alexa Lamm: Um- Ping Yu: Yeah. 595 00:52:42,920 --> 00:52:51,940 Ping Yu: And one of the comment that I wanna make is just, you know, be modest enough, so acknowledge that you don't know everything. 596 00:52:52,040 --> 00:52:53,040 Alexa Lamm: (laughs) That's true. 597 00:52:53,040 --> 00:52:58,020 Ping Yu: There's always people that can teach you something, and that might change your whole life. 598 00:52:58,440 --> 00:52:58,660 Alexa Lamm: Yeah. 599 00:52:59,080 --> 00:52:59,740 Alexa Lamm: Absolutely. 600 00:53:00,040 --> 00:53:00,760 Alexa Lamm: Absolutely. 601 00:53:00,800 --> 00:53:03,020 Alexa Lamm: And be willing to engage in the conversation. 602 00:53:03,660 --> 00:53:13,760 Ping Yu: If people wants to, you know, find more information, your work or some of the workshops that you do, and basically just to follow 603 00:53:13,820 --> 00:53:23,520 Ping Yu: along with your work and hopefully become a better communicator like you, where do you recommend them find those information? 604 00:53:24,220 --> 00:53:26,780 Alexa Lamm: Like I mentioned, CAST is a great resource. 605 00:53:27,140 --> 00:53:31,640 Alexa Lamm: If you're interested in learning more about me and my lab and what we're up to, please check out our website. 606 00:53:31,700 --> 00:53:34,280 Alexa Lamm: If you just Google Lamm Lab, it will show up. 607 00:53:34,500 --> 00:53:37,280 Alexa Lamm: I'm at the University of Georgia, so please follow. 608 00:53:37,360 --> 00:53:41,000 Alexa Lamm: We have a podcast of our own called AgriCurious. 609 00:53:41,120 --> 00:53:48,920 Alexa Lamm: It's actually designed for early career scientists that are interested in learning about communicating about diverse scientific interdisciplinary teams. 610 00:53:49,400 --> 00:53:52,200 Alexa Lamm: So please join us there if you're ever interested. 611 00:53:52,700 --> 00:53:54,900 Alexa Lamm: But also connect with me on LinkedIn. 612 00:53:55,160 --> 00:53:57,260 Alexa Lamm: I'm happy, I would love to connect with you. 613 00:53:57,540 --> 00:54:01,520 Alexa Lamm: I'm actually @lexlamm, L-E-X-L-A-M-M. 614 00:54:02,140 --> 00:54:08,280 Alexa Lamm: But also feel free to email me anytime if you have any questions, and I can even connect you with faculty at your university that can help you too. 615 00:54:09,180 --> 00:54:09,480 Ping Yu: Yeah. 616 00:54:09,680 --> 00:54:16,720 Ping Yu: I'll make sure that I put all your, those resources and links on the show notes so people can find them (Alexa Lamm: Perfect) easily. 617 00:54:17,440 --> 00:54:23,200 Ping Yu: But thank you, Alexa, for taking time out of your busy schedule to talk with us today. 618 00:54:23,600 --> 00:54:25,440 Ping Yu: I enjoyed a lot. 619 00:54:25,920 --> 00:54:29,880 Ping Yu: I just hope that I, we can have this conversation going and going. 620 00:54:29,980 --> 00:54:39,440 Ping Yu: But thank you so much for the work you do and, you know, reshape the, hopefully we can reshape our community as a whole down the road 621 00:54:39,520 --> 00:54:42,020 Ping Yu: to make it better for our society. 622 00:54:42,100 --> 00:54:42,840 Ping Yu: Thank you so much. 623 00:54:43,280 --> 00:54:44,180 Alexa Lamm: Yeah, it was a real pleasure. 624 00:54:44,220 --> 00:54:44,960 Alexa Lamm: Thanks for having me. 625 00:54:44,960 --> 00:54:52,120 Ping Yu: (music) Conversation like this only happen when you support the show. 626 00:54:52,500 --> 00:55:01,140 Ping Yu: For more information and find ways to support us, please go to bandbpod.com, bandbpod.com. 627 00:55:01,620 --> 00:55:06,940 Ping Yu: If you like what you are hearing, spread the word and share this podcast with the people you love. 628 00:55:07,400 --> 00:55:12,760 Ping Yu: Make sure you hit that subscription button and give a review for the podcast. 629 00:55:13,380 --> 00:55:23,140 Ping Yu: And as always, go check out the show notes to learn more about this topic and other topics we featured on the show at bandbpod.com. 630 00:55:23,520 --> 00:55:24,500 Ping Yu: Thank you for listening. 631 00:55:24,680 --> 00:55:25,640 Ping Yu: Till the next time. 632 00:55:25,880 --> 00:55:27,640 Ping Yu: Stay healthy and go plants. 633 00:55:27,640 --> 00:55:45,860 (music)