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The IDEMS Podcast — 247 episodes

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Title
1

247 – Scaling PBDM (Physiologically Based Demographic Modelling)

2

246 – Organising The IDEMS Podcast

3

245 – Open GCSE Textbooks with PreTeXt

4

244 – Scaling Open Textbook Variants with PreTeXt and AI

5

243 – Individualism and Collaboration

6

242 – Reflections on Humanoid Robots

7

241 – Twenty Years of RMS for CRFS: Proxy Variables

8

240 – Integrating Deep Student Assessment into Open Statistics Textbooks

9

239 – Converting Open Statistics Textbooks for Software-Agnostic Learning

10

238 – Open Textbooks and Beyond

11

237 – Open Textbooks

12

236 – Is STACK Necessary in the Age of AI?

13

235 – An Update on The CBC Open Textbooks Project

14

234 – Data Collectors as a Source of Variability

15

233 – An analysis of ANOVA as a Descriptive Tool

16

232 – ANOVA and Degrees of Freedom

17

231 – Unexplained Variability

18

230 – Introduction to Sampling

19

229 – Reflections on the Joint Mathematics Meeting Part 2

20

228 – Reflections on the Joint Mathematics Meeting Part 1

21

227 – Managing vs Leading

22

226 – Is Diversity Always Good?

23

225 – Expanding on Personalised Education

24

224 – Turning Challenges into Opportunities

25

223 – Investigating Personalised Education

26

222 – The Five Interns of Christmas

27

221 – Ethical Investments:  Social Enterprise Impact Bonds

28

220 – RMS Workshop Reflections: Presenting Results

29

219 – Factors in Statistics

30

218 – SmileyCoin

31

217 – A Dive into PreTeXt

32

216 – The Five Quiz Framework for Electronic Assessment

33

215 – The History of Computer Assisted Statistics Textbooks

34

214 – Teaching Statistics from the Data Up

35

213 – STACK in Africa

36

212 – Personalised AI-Driven Textbooks

37

211 – Open vs Open Source

38

210 – Two Years of The IDEMS Podcast: The IDEMS Collaboratories and CommonTech

39

209 – Individual Initiative and Collective Responsibility

40

208 – The Significance of the Turing Test

41

207 – AI in Low Resource Environments

42

206 – Explore, Describe, Present: a Statistical Analysis Framework

43

205 – An Interview with Rikin Gandhi from Digital Green

44

204 – What does responsible AI really mean?

45

203 – Developing Pan-African Digital Maths Textbooks and its Challenges

46

202 – Building Custom AI Assistants

47

201 – Reflections on the World Statistics Congress

48

200 – Behind the Scenes of The IDEMS Podcast

49

199 – The Pan-African Convening on the Future of Biodigital Technologies in Food and Agriculture

50

198 – Introducing Michele Pancera

51

197 – From Exams to Experiences: How Gamification Could Transform Education

52

196 – Scalable AI Tools for Farmers

53

195 – When All You Have is a Hammer, Everything Looks Like a Nail

54

194 – Twenty years of RMS for CRFS: Next Steps

55

193 – Using Generative AI in IDEMS Work

56

192 – Twenty Years of RMS for CRFS: Crop Simulation Models

57

191 – Gamification of Education

58

190 – Twenty Years of RMS for CRFS: Multi-year trials

59

189 – How do people really live around the world?

60

188 – Twenty Years of RMS for CRFS: Designing Real-World Agricultural Experiments

61

187 – An Introduction to Presentation Graphs

62

186 – Twenty Years of RMS for CRFS: Measurements

63

185 – Enabling Access to STACK through PreTeXt

64

184 – Twenty Years of RMS for CRFS: Controls

65

183 – Using AI for Qualitative Analysis

66

182 – Twenty Years of RMS for CRFS: Levels of Variability

67

181 – Tricot Participatory Breeding Trials

68

180 – Twenty Years of RMS for CRFS: On-Farm Agricultural Trials

69

179 – Challenging the Dead Internet Theory

70

178 – Twenty Years of RMS for CRFS: On-Station Agricultural Trials

71

177 – Mathematical Modelling vs Statistical Modelling

72

176 – Twenty Years of RMS for CRFS: Multimethod Agricultural Research

73

175 – The PhD to IDEMS Postdoctoral Fellow Journey

74

174 – Twenty Years of RMS for CRFS: Introducing Roger

75

173 – Twenty years of RMS for CRFS

76

172 – Proxy Variables

77

171 – Building a Local Research Methods Support Team

78

170 – Marketing IDEMS: From R&D to Products

79

169 – Marketing IDEMS: The Website Redesign

80

168 – Collecting Data for Community Research

81

167 – “Moral Ambition” by Rutger Bregman

82

166 – Solarpunk and Positive Visions of the Future

83

165 – Systemic Change

84

164 – Further Reflections on the ICMS Workshop

85

163 – Rethinking Statistics Education

86

162 – The Origins of the Food Innovation Centres in West Africa

87

161 – Tool Agnosticism in Modern Education

88

160 – Developing Modelling Courses for the Maths Innovations MSc

89

159 – Innovative MSc Programme for Maths Teachers in Kenya, Part 4

90

158 – Innovative MSc Programme for Maths Teachers in Kenya, Part 3

91

157 – Innovative MSc Programme for Maths Teachers in Kenya, Part 2

92

156 – Innovative MSc Programme for Maths Teachers in Kenya, Part 1

93

155 – Agroecological Possibilities of Solar Panels

94

154 – Fuma Gaskyia and Human Urine Fertiliser

95

153 – Paving the Road for Biological Pest Control in Niger

96

152 – Types of Graphs

97

151 – Data Variability

98

150 – Building Impactful Teams in West Africa

99

149 – Battling Millet Head Miners in Niger

100

148 – Transforming Research through Community Collaboration

101

147 – Cultivating Change: Local Solutions for Nutrition

102

146 – Reflections on the CRFS Leadership Meeting 2025

103

145 – Problematising what it means to ‘help communities’

104

144 – Who can be activated for impact?

105

143 – The Impact Activation Book

106

142 – Reflections on Impact Activation Workshop at ICMS Edinburgh, Part 2

107

141 – Reflections on Impact Activation Workshop at ICMS Edinburgh, Part 1

108

140 – Electronic Maths Textbooks in Kenya

109

139 – Scaling the Maths Camps

110

138 – AI in International Development, Part 2

111

137 – AI in International Development, Part 1

112

136 – A Role of Technology in Education

113

135 – Resource Constraints and Technological Innovation

114

134 – Introducing Michael Obiero: Rethinking Maths Textbooks

115

133 – Schooling and Alternative Education Systems

116

132 – Paris AI Action Summit

117

131 – USAID Revisited

118

130 – Equality and Equity

119

129 – USAID

120

128 – Experiences of Using STACK for Data Skills

121

127 – Scalable Solutions vs Individual Impact in Education

122

126 – Mathematics in Africa: Stories of Success

123

125 – AI Summaries

124

124 – Communities and Development

125

123 – Unpacking the Question, “Why don’t we just give money?”

126

122 – Technology in Secondary Education

127

121 – Reflections on Research Methods Support (RMS) Workshops

128

120 – Reflections on Past and Future New Years

129

119 – The New Year’s Special

130

118 – Festive Special: Another Perspective on Giving

131

117 – Festive Special: Giving

132

116 – Collective Intelligence

133

115 – Research Methods Support Teams

134

114 – International Impact Award 2024

135

113 – Research Methods Workshops and Trainings

136

112 – Why don’t we just give money?

137

111 – Sustainability, Scalability, and Systemic Change: IDEMS’ Approach to Impacting Grand Challenges

138

110 – Further reflections on the FRN Convening

139

109 – Mathematical Scientists as Impact Activators

140

108 – James’ Journey of Innovative Statistics Education

141

107 – Where Do We Draw the Line on Transparency?

142

106 – Reflections on the FRN Convening

143

105 – Wicked Problems

144

104 – Misusing Data

145

103 – Collaborative Modelling

146

102 – Communities of Practice, Part 2

147

101 – Introducing Sue Johnson: Corporate Insights into Communicating the Value of Technology for Social Impact

148

100 – Episode 100

149

099 – Is AI Making Me Lazy?

150

098 – Institutional Change in Ghana: Abib’s Experiences and Observations

151

097 – The Agroecology Hub

152

096 – Data Literacy Continued

153

095 – How to Tell the IDEMS Story

154

094 – Is Data Maths?

155

093 – Communities of Practice, Part 1

156

092 – Data Literacy

157

091 – Introducing James Kaleli Musyoka: Climatic Data Science for Agriculture

158

090 – Introducing George Simmons: Mathematical Modelling in Agroecology

159

089 – Exploring Digital Parenting Innovations in Kuwait

160

088 – Technologies for Secondary School Education

161

087 – Chatbots and AI

162

086 – The R-Instat Calculation System

163

085 – A Service Mentality

164

084 – Community Tech

165

083 – Reflections on the Mentoring Scheme

166

082 – Innovations in Internships and Workshops

167

081 – The Second African STACK Conference

168

080 – Franca Hoffmann: Global Maths Education

169

079 – American Institute of Mathematics (AIM) Workshop in Kenya

170

078 – Open Research, Science and Data

171

077 – Looking to the Future of AI for Higher Education

172

076 – Data Systems for Low Digital Literacy

173

075 – Changing The Question 2

174

074 – Changing the Question

175

073 – AI in Education: Friend or Foe?

176

072 – Demystifying Data Science

177

071 – Introduction to R-Instat

178

070 – Games Without Advertising: A Potential New Business Model, Part 2

179

069 – Games Without Advertising: A Potential New Business Model, Part 1

180

068 – Do we know what we are doing?

181

067 – Multilevel Data

182

066 – Polly Noyce: Manor House

183

065 – Hallucitations

184

064 – Defining Simplicity: When Money Isn’t Enough

185

063 – Chris Sangwin: STACK

186

062 – Revolutions in Data Collection

187

061 – Simplicity vs Complexity

188

060 – Teaching Data Science

189

059 – Inception Meetings: IDEMS’ Pathways to Supporting Project Beginnings

190

058 – Farmer Research Networks

191

057 – Empowering Mathematics Educators with STACK

192

056 – Responsible Research and Modelling

193

055 – Scalability vs Sustainability in IDEMS Internships

194

054 – Beyond the Hype: The Reality of AI-Powered Shops

195

053 – Investment as a Service

196

052 – Maths Camps: Engaging Minds, Expanding Horizons

197

051 – Digital Jobs in Rural Environments

198

050 – The Role of Observation in Shaping IDEMS

199

049 – Artificial Words: The Unseen Bias of AI in Everyday Language

200

048 – An Approach to Language and Tolerance

201

047 – Kate Fleming: IDEMS’ Strategy

202

046 – Moustapha Moussa: Processing Food

203

045 – Bruce Hamaker: Processing Nutritional Foods in Low Resource Rural Environments

204

044 – An Interview with our Incoming Director, Kate Fleming

205

043 – The Journey to IDEMS Internships

206

042 – Navigating the Future: Work and Skills in an AI-Influenced World

207

041 – Scalable Impact Through Internships

208

040 – The STACK Internships

209

039 – How to Lie with Smoking Statistics

210

038 – What Does Development Look Like?

211

037 – Generating AI Images: Between Bias and Absurdity

212

036 – Response to “IDEMS’ Vision and Mission”

213

035 – Generating AI Images: Do AI implementations suppress diversity?

214

034 – IDEMS’ Vision and Mission in practice

215

033 – IDEMS’ Vision and Mission

216

032 – Impact Activation Postdoctoral Fellow

217

031 – Who wants to be a trillionaire?

218

030 – Cross Disciplinary Study Types

219

029 – AI Transforming Education

220

028 – AI Transforming Work

221

027 – Why doesn’t IDEMS simply focus?

222

026 – GUIDE-ing Principles vs SMART Goals

223

025 – AI and Consciousness

224

024 – The Privilege of Wealth

225

023 – Research and Academic Publications

226

022 – Evidence, Research and Society

227

021 – Where Things Have Gone Wrong with AI

228

020 – Research and Impact in Challenging Contexts

229

019 – Is Nepotism always harmful? Part 2

230

018 – Is Nepotism always harmful? Part 1

231

017 – Responsible AI: How Data Lies

232

016 – Responsible AI: Regulation

233

015 – New Year’s Resolutions

234

014 – IDEMS Blunders of the Year 2023

235

013 – Responsible AI: Festive Special

236

012 – Fundamentally Profitable

237

011 – Response to “Reluctant Entrepreneurs”

238

010 – Reluctant Entrepreneurs

239

009 – Demystifying AI

240

008 – The IDEMS Business Model

241

007 – IDEMS’ views on agriculture

242

006 – Bletchley Park AI Safety Summit

243

005 – IDEMS as a Community Interest Company

244

004 – Zach Mbasu and INNODEMS, The Follow-Up

245

003 – Interviews 01: Zach Mbasu and INNODEMS

246

002 – What is IDEMS?

247

001 – Maths Minds: Thinking Hard About Supporting a Collaborative Society